CN111557813B

CN111557813B - Fence system for monitoring children with epilepsy

Info

Publication number: CN111557813B
Application number: CN202010519979.9A
Authority: CN
Inventors: 战艳; 霍光研
Original assignee: Xuanwu Hospital
Current assignee: Xuanwu Hospital
Priority date: 2020-06-09
Filing date: 2020-06-09
Publication date: 2021-11-23
Anticipated expiration: 2040-06-09
Also published as: CN111557813A

Abstract

The invention relates to a fence system for pediatric epilepsy monitoring, comprising: lifting type fences; a detection unit; and the data processing unit is used for receiving and analyzing related data signals which are acquired by the detection unit and related to a target object in a target area, and is characterized in that the detection unit comprises a continuous online monitoring device, a primary image detection device and a depth image detection device, and the data processing unit is used for carrying out epileptic seizure analysis on one or more of first data and second data which are respectively detected by the continuous online monitoring device and the primary image detection device based on a prestored clock synchronization mode and combining a prestored epileptic seizure database so as to accurately capture the seizure time of the paroxysmal epilepsia and/or determine a matching operation mode between the depth image detection device and the fence.

Description

Fence system for monitoring children with epilepsy

Technical Field

The invention relates to the technical field of medical treatment, in particular to a fence system for monitoring children epilepsy.

Background

Epilepsy (Epilepsy) is a chronic disease of transient dysfunction of the brain caused by sudden abnormal discharges in neurons of the brain. According to the latest data provided by the World Health Organization (WHO), the number of epileptic patients worldwide is already about 1% of the total population, with nearly 1000 million in our country. The infantile epilepsy is the convulsive attack caused by paroxysmal and temporary brain dysfunction, is a common infantile nervous system syndrome, has complex etiology and is easy to attack repeatedly. Due to frequent and unpredictable attacks, the traditional Chinese medicine composition not only seriously affects the daily life, study and work of patients, but also can be life-threatening, and brings great pressure to the patients, families and society. The accurate diagnosis of epilepsy is the foundation of follow-up diagnosis and treatment, so timely diagnosis and timely treatment of epilepsy can help epileptics control the state of illness as early as possible, and especially infantile epilepsy needs timely treatment so as to avoid harm to the brain of children.

At present, there are three main diagnostic methods for pediatric epilepsy. First, a physician asks. The epileptic symptoms and cycles of children epileptics are mainly inquired in detail, most patients cannot describe the epileptic symptoms by themselves, and particularly for children epileptics, the details of the epileptic symptoms are explained mainly by depending on the detailed observation of family members of the patients. Since valuable information before and after the onset is not memorized, the medical history is unclear and the doctor has no basis. Because epilepsy is a complex disease which occurs instantly and disappears instantly, most epilepsy patients do not have a seizure when being diagnosed, patients cannot describe the medical history by themselves, family members cannot describe the disease history, most epilepsy patients only memorize the convulsion of the most inscription of the heart and have no memory on valuable information before and after the seizure. Second, electroencephalography. A child epileptic patient needs to undergo a series of electroencephalogram examinations to observe changes in the brain, and generally used are CT, general electroencephalogram, induced electroencephalogram, sphenoid electrode electroencephalogram, sleep electroencephalogram, dynamic electroencephalogram and the like; the common method for diagnosing epilepsy is electroencephalogram, and if there is a characteristic epileptic wave, the possibility of epilepsy should be considered. However, since the electroencephalogram of a few normal persons shows epileptic discharge, epilepsy cannot be diagnosed by the electroencephalogram alone with epileptic waves. Third, other checks. Such as ECT examination, nuclear magnetic resonance, lumbar puncture, skin test, etc., which are auxiliary examinations and are auxiliary confirmed diagnoses after certain diagnoses are made. Chemical examination of the liquid: such as blood sugar, blood calcium, blood magnesium, and medicinal components. The blood sugar, calcium and magnesium levels are important conditions for the onset of the attack. On one hand, the abnormality of the factors can cause important factors of the epileptic seizure, and on the other hand, the method can provide a diagnostic basis for some diseases accompanied with the epileptic seizure, such as hypoparathyroidism epilepsy, diabetic epilepsy and the like.

In order to diagnose the patient condition more accurately, the comprehensive judgment of the patient disease process by combining video monitoring acquisition and electroencephalogram data inspection acquisition is needed, especially for pediatric epilepsy, behaviors with the characteristics of 'seizure' are provided, parents often cannot correctly describe or even exaggerate the seizure condition, and the clinical judgment and identification are difficult. In the process, the electroencephalogram is required to be monitored for a long time, unnecessary external interference is required to be avoided, abnormal brain waves in the epileptic seizure period are required to be seen, specific behaviors and detection parameters of a patient in the disease state are expected to be reflected most truly, and the later targeted treatment process can be conveniently carried out.

Chinese patent (publication No. CN209220633U) discloses a nursing device for epileptic patient, including bed board and backplate, the bed board bottom is connected with the landing leg all around, the callus on the sole is connected to the landing leg bottom, the bed board below is connected with two drawers, and the bed board upper surface is equipped with the skid resistant course, drawer one side is equipped with the handle, bed board upper end both sides are equipped with a pair of shank guardrail, one side of shank guardrail and be equipped with the waist guardrail in the upper end of bed board, through there being the foam sleeve at shank guardrail and waist guardrail external connection, when epileptic patient's seizure has been avoided, patient's consciousness loses and leads to the unexpected strong convulsion of limbs to hit the metal guardrail, thereby cause secondary damage to patient's health, through be equipped with the fixed band between shank guardrail and waist guardrail, it shakes the sick bed that causes patient to drop violently to have solved patient, patient's safety has been protected, avoid aggravating patient's state of an illness.

Chinese patent (publication No. CN109620248A) discloses a seizure monitoring system, which includes: the signal collector is used for collecting data signals on target parts of epileptics, wherein the data signals at least comprise: acceleration signals, electrocardio signals and muscle electric signals; the signal processor is in communication connection with the signal collector and is used for processing the data signals; and the data analyzer is in communication connection with the signal processor and is used for judging whether the epileptic seizure occurs in the epileptic patient according to the processed data signal. Through the application, the problem that the epileptic seizure monitoring system in the related art is low in epileptic seizure monitoring accuracy is solved.

The sickbed for epileptic patients in the prior art and provided by the above patent is limited to realize that the restraint is applied to the patient in the process of attack so as to prevent the patient from colliding or falling down due to behaviors such as violent twitching, and the like, and the sickbed cannot monitor different states of the epileptic patients in the process of attack through a fence system on the sickbed. Since the seizure of an epileptic patient is an abrupt condition, when the time point of the seizure is uncertain, a long-time and continuous detection is often adopted, and thus a large amount of invalid information irrelevant to the condition of the patient is generated, thereby reducing the overall examination efficiency. Meanwhile, external intervention needs to be avoided for monitoring relevant data information in the epileptic seizure process, and in the actual process, due to lack of early warning and reminding for relevant personnel, on one hand, acquired data are caused to be mixed with external interference, the illness state cannot be accurately analyzed, on the other hand, the sudden situation cannot be timely processed, and the patient is trapped in danger.

Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the inventor has studied a lot of documents and patents when making the present invention, but the space is not limited to the details and contents listed in the above, however, the present invention is by no means free of the features of the prior art, but the present invention has been provided with all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.

Disclosure of Invention

Aiming at the problem that the sickbed for epileptic patients widely applied in the field at present has serious technical defects so as to cause certain obstacles to the subsequent targeted therapy, the patent document with the publication number of CN108647645A in the prior art proposes a multi-modal epileptic diagnosis system based on video analysis for epileptic patients, which adopts a mode of continuously starting a camera for a long time to collect data in the process of epileptic seizure, however, in the actual application, the system cannot adapt to the paroxysmal and unknown epileptic seizure, and generates a huge number of image data signals, and most of the image data signals are invalid information, which not only brings the technical problem that how to have detection efficiency and detection precision under a huge data volume which cannot be overcome by the technical field of intelligent computer vision for the subsequent data processing, and because the huge of data processing work load will seriously influence the protection timeliness, there is potential safety risk.

To this end, the invention proposes a fence system for epilepsy monitoring in children, comprising: lifting type guardrails; a detection unit; and the data processing unit is used for receiving and analyzing related data signals which are acquired by the detection unit and related to a target object in a target area, and is characterized in that the detection unit comprises a continuous online monitoring device, a primary image detection device and a depth image detection device, and the data processing unit is used for carrying out epileptic seizure analysis on one or more of first data and second data which are respectively detected by the continuous online monitoring device and the primary image detection device based on a prestored clock synchronization mode and combining a prestored epileptic seizure database so as to accurately capture the seizure time of sudden epilepsia and/or determine a matching operation mode between the depth image detection device and the guardrail. The system/the bed file can complete accurate detection and timely protection of the epileptic seizure process of the epileptic patient through smaller data processing workload on the basis of avoiding the serious technical defects of the traditional real-time video detection analysis scheme. The telescopic protection alarm bed rail provided by the invention can be selectively folded and unfolded while ensuring the protection effect according to the needs, so that children epileptics can conveniently get on or off the bed; moreover, the method can accurately acquire related data signals aiming at the morbidity process of the epilepsy, and avoid generating a large amount of invalid data, thereby improving the detection efficiency of the morbidity process of the epileptic, and particularly judging and detecting the morbidity process of the clonic epilepsy patient; in addition, the invention can give an alarm and remind aiming at different morbidity processes of the children epilepsy patient, and provides safety early warning and safety guarantee for the morbidity process of the patient while accurately acquiring physiological parameters such as video data, electroencephalogram data and the like according to requirements.

The continuous online monitoring device is a brain wave monitor. The primary image detection means refers to at least one set of infrared probes. The depth image detection device refers to at least one group of cameras. The pre-stored clock synchronization pattern refers to performing clock synchronization between each communication device and the data processing unit step by step, distinguished from a specific order. Clock synchronization refers to calibrating the local clock of each intelligent agent device by designing a corresponding protocol and a synchronization algorithm, so that all devices in the network have a global common clock. For a functional module with a clock, all timing task processing, data curve and historical report generation depend on the clock in the module. If the time in each module is not synchronous, abnormal data and conditions are easily caused. Under normal conditions, the main control module provides timing synchronization signals for other communication devices. At present, the main means for preventing time asynchronization among modules is timing time synchronization, that is, the time of one module (for example, a master control module) is used as a reference, and the module performs unified time synchronization on other modules at regular time, so that time synchronization can be theoretically realized. However, as the paroxysmal epilepsy has uncertainty of attack time, the method of timing the time pair will cause clock synchronization delay, and the time between each communication device is not synchronous, which easily causes abnormal data and conditions. In this regard, the clock synchronization pattern proposed in the present application can be distinguished from a specific order (i.e., referred to as a wake-up order) between the communication devices (i.e., referred to as the detection units), and the data processing unit performs clock synchronization with the detection units, respectively. The node of clock synchronization is performed when the detection unit and/or the data processing unit transmit and receive signals. For example, while the continuous online monitoring device transmits the monitored first signal to the data processing unit, the data processing unit performs clock synchronization with the continuous online monitoring device to obtain clock information aligned with the received data, so that the data can be correctly recovered from the received data waveform. The millisecond clock synchronization is particularly suitable for uncertainty of the seizure time of the paroxysmal epilepsy while the accuracy of data is guaranteed, and the seizure time of the paroxysmal epilepsy can be accurately captured.

The order of waking up differs between different detection units, in this application preferably the continuous on-line monitoring device has priority over the primary image detection device, which has priority over the depth image detection device and the guard rail. Although the continuous online monitoring device is in an operating state in most of time, and is used for continuously detecting and acquiring data of a child patient, the electroencephalogram data signals are monitored, the data type is single, the data processing workload is very small, and compared with the technical scheme of continuously monitoring videos for a long time in the prior art, the continuous online monitoring device has the advantages of excellent data processing efficiency and accuracy. The epilepsy database refers to all preset threshold values required in the epileptic seizure analysis process, historical epileptic seizure data of the children patients, epileptic seizure types and other data resources which can be acquired before current detection is carried out. The cooperation mode is that a cooperation mode is determined according to the result obtained by the analysis of the data analysis processing unit, the depth image detection device and the guardrail are indicated to respectively operate based on the cooperation mode, and the cooperation mode and the depth image detection device are mutually matched, so that the patient can be protected in time in the first time when effective warning information is provided for the guardian and meanwhile the patient infant who may have a falling risk or a falling risk is protected in time. The first infant state factor, the second infant state factor, the third infant state factor and the fourth infant state factor refer to factors related to different states of an infant respectively. The first infant state factor refers to whether the infant is in a state of wearing an electroencephalogram electrode continuously, the second infant state factor refers to whether the infant enters a full-body tonic clonic attack stage, the third infant state factor refers to a body posture of the infant in a guardrail, and the fourth infant state factor refers to a judgment result about the onset type of the full-body tonic clonic attack of the infant.

According to a preferred embodiment, the data processing unit combines one or more of the first data and the second data respectively detected by the continuous online monitoring device and the primary image detection device with a pre-stored epilepsy database based on a first infant state factor and a pre-stored clock synchronization pattern, performs an epileptic seizure analysis thereon to obtain one or more of a second infant state factor, a third infant state factor and a fourth infant state factor, and determines at least one coordination operation pattern for implementing the children epilepsy monitoring and safety protection based on the first to fourth infant state factors.

According to a preferred embodiment, the data processing unit is configured to: based on the first infant state factor and a pre-stored clock synchronization mode, indicating the continuous online monitoring device to detect to obtain first data, and combining the first data with a pre-stored epilepsy database to perform epileptic seizure analysis to determine a second infant state factor; and/or based on the second infant state factor and a pre-stored clock synchronization pattern, instructing the primary image detection device to perform detection to obtain second data, and performing seizure analysis by combining the second data with a pre-stored epilepsy database to determine a third infant state factor; and/or performing seizure analysis in combination with a pre-stored epilepsy database to determine a fourth child condition factor based on the first child condition factor, the second child condition factor, the third child condition factor and a pre-stored clock synchronization pattern; and/or combining the fourth infant state factor with a pre-stored epilepsy database to perform epileptic seizure analysis to determine at least one cooperation mode for indicating the depth image detection device and the guardrail.

According to a preferred embodiment, the data processing unit is configured to: based on the first infant state factor and a pre-stored clock synchronization mode, instructing the continuous online monitoring device to detect a target object in a target area to obtain first data, performing seizure analysis by combining the first data with a pre-stored seizure database, and preliminarily judging a second infant state factor related to the seizure type of the patient according to the obtained data analysis result; and/or feeding back the obtained data analysis result to the primary image detection device for secondary data signal detection, and performing epileptic seizure analysis on the obtained second data in combination with a prestored epileptic database to determine a third infant state factor related to the epileptic seizure type of the patient.

According to a preferred embodiment, the data processing unit performs epileptic seizure analysis based on the first data and a prestored epileptic database, and preliminarily judges a second infant state factor when the patient enters a generalized tonic-clonic seizure stage when the electroencephalogram is analyzed to have abnormal waveforms; and/or the data processing unit carries out epileptic seizure analysis based on the second data and a prestored epileptic database, and judges and outputs a third infant state factor when the real-time gravity center obtained by analysis is lower than a preset threshold value, wherein the third infant state factor is that the patient is in the lying posture at the moment; and/or the data processing unit analyzes epileptic seizure by combining a prestored epileptic database based on the first infant state factor, the second infant state factor, the third infant state factor and a prestored clock synchronization mode, and wakes up the depth image detection device in a standby state when the fourth infant state factor of which the whole body tonic clonic attack type of the patient starts is obtained by analysis, so that the acquisition work of video signals is carried out on the epileptic attack process of the whole body tonic clonic attack type of the patient on a sickbed, and the judgment on the whole body clonic epileptic attack process and the acquisition process of related data are realized.

In the process of pediatric epileptic attack, the attack types which are often accompanied are childhood epileptic grand mal and childhood epileptic petit mal. Among them, when children have a grand seizure, the patients are often unconscious, tetanic, fist-clenched, twitch of muscles and face, look at both eyes, and erupt white foam or make various sounds strangely, and are awake after several minutes. The duration can be as long as twenty-thirty minutes, and the symptoms of the children epileptic seizure are called status epilepticus. When children have small epileptic seizures, the symptoms of the children's epileptic seizures are called children's epileptic seizures, wherein the children have sudden and transient loss of consciousness, fixation of eyes, action language stoppage, unconsciousness and no convulsion, and the symptoms can be recovered generally within 30 seconds. Because the symptoms of the two types of children epileptic seizures are clear and single, the judgment of children epileptic grand mal and children epileptic grand mal is easy. And the judgment of the epileptic onset type of children with complicated partial onset symptoms is relatively more difficult. For example, in the case of clonic seizures of epilepsy in children, only contraction, twitching, flexion and extension, and unconscious disturbance of a certain muscle or muscle group are observed during the seizures, and these minor changes are not easily detected in clinical tests of patients, thereby causing erroneous judgment of the epileptic seizures and being disadvantageous in accurate diagnosis and treatment of the patients' conditions. Because the seizure process of the clonic epilepsy patient has the characteristic of 'paroxysmality', the specific occurrence time node of the seizure process is unknown, and the video detection of the clonic epilepsy patient needs to be carried out continuously for a long time at multiple angles and multiple positions, therefore, the mode of carrying out data acquisition on the seizure process of the epilepsy patient by using the conventional long-time starting camera detection device belongs to a relatively low-efficiency detection mode, and therefore massive image data signals are generated and contain a large amount of invalid information, so that the subsequent data processing is difficult, and the detection efficiency is greatly influenced. Therefore, in practice, only when the epilepsia starts to seize, the camera detection device is started to carry out omnibearing video recording monitoring on the seizure process, and sufficient video support can be provided for the diagnosis of the seizure process of a doctor.

According to a preferred embodiment, when the data processing unit analyzes and obtains the fourth infant state factor at which the onset type of the full-body tonic clonus of the patient starts and wakes up the depth image detection device in the standby state to start recording and storing the video image, the data processing unit marks the current time sequence as the onset period.

In the prior art, when performing video detection, when a patient enters a hospital bed, a medical worker connects and starts a video detection device and related physiological parameter detection equipment, such as a brain wave detection device, to perform long-time continuous detection on related data signals of the patient, and some methods also start a video recording action when performing infrared detection on a target object to judge that the target object is in an active state (i.e., a follow-up method). However, since the seizure process of an epileptic patient is characterized by "paroxysmal", the specific occurrence time node of the seizure process is unknown, and the video detection of the epileptic patient needs to be performed continuously for a long time, at multiple angles and at multiple positions, the conventional data acquisition method for the seizure process of the epileptic patient belongs to a relatively inefficient detection method, and thus, a large amount of image data signals are generated, which contain a large amount of invalid information, thereby causing difficulty in subsequent data processing and greatly affecting the detection efficiency. In the present application, when no motion data signal is detected in the target area, the camera detection device is turned off, that is, the camera detection device stops the video data signal acquisition process. And when the action data signal is detected in the target area, the camera detection device is started, namely the camera detection device starts a video data signal acquisition process.

According to a preferred embodiment, during the attack, when the waveform of the electroencephalogram signal detected by the continuous online monitoring device is a multi-spine-slow wave, a spine-slow wave and/or a tip-slow wave, the data processing unit classifies the data collected by the detection unit and transmits the data to the data storage for storage in a mode of marking the type of the attack of the whole body clonus.

According to a preferred embodiment, after the episode period is over, when the electroencephalogram signal detected by the continuous online monitoring device shows obvious electroencephalogram inhibition, the data processing unit marks the suspected whole-body tonic clonic episode type as the whole-body tonic clonic episode type again and stores the same in a classified manner.

According to a preferred embodiment, the electroencephalogram abnormality waveform is a fast wave at 10Hz, and the waveform features alternating increasing amplitude, slowing frequency, and slow waves in clonic phases.

The invention also provides a protection control method of the fence for monitoring the epilepsy of the children, which is characterized by at least comprising one or more of the following steps: s1: the data processing unit compares the first data signal acquired by the detection unit with a pre-stored first threshold value to at least determine the period of the disease state of the corresponding patient; s2: under the condition that the first data signal exceeds a pre-stored first threshold value, the data processing unit further compares a second data signal acquired by the detection unit with stored initial data, and/or the alarm unit triggers corresponding alarm information based on a dynamic change result of the second data signal, and/or when the dynamic change result of the second data signal is positive, the alarm unit sends out early warning information to remind relevant personnel of paying attention to the change condition of a patient in time, and/or when the dynamic change result of the second data signal is negative, the alarm unit sends out alarm information to the receiving unit to remind and inform medical personnel or accompanying personnel of the patient; s3: the alarm unit triggers the reminding information under the condition that the first data signal exceeds the pre-stored second threshold and the dynamic change result of the second data signal is positive, and/or the alarm unit sends alarm information to the receiving unit to remind and inform medical staff or patient accompanying staff under the condition that the first data signal exceeds the pre-stored second threshold and the dynamic change result of the second data signal is negative.

The fence system for monitoring children epilepsy provided by the invention at least has the following beneficial technical effects:

(1) the fence system for monitoring the children epilepsy, provided by the invention, can be used for detecting and analyzing different states and different disease processes of a patient on a sickbed, particularly for the clonic epilepsy disease process, and can start the acquisition process of video data signals when the patient suffers from the epilepsy disease, so that the problem that in the prior art, a large amount of invalid information is generated due to the fact that video detection must be carried out on the whole process before and after the epilepsy disease of the patient is detected is solved, the efficiency of video detection of the child epilepsy patient by medical personnel is improved, and safety early warning and safety guarantee are provided for the disease process of the patient while the acquisition process of video data and physiological data is accurately carried out.

(2) The guardrail in the prior art adopts an in-place adjusting mode in the lifting process, the whole adjusting mode is rigid, and the impact on the child epileptic is larger.

(3) In the diagnosis of children with epilepsy, the examination of physiological data acquisition and video monitoring is required, and effective examination often requires that the children are in the seizure and parents do not preferably intervene at this time, so as not to affect the examination result. Therefore, when electroencephalogram examination is carried out, the behavior of parents needs to be monitored during the epileptic seizure of children, and reminders are given as necessary, so that the behaviors of tension, panic and the like generated by the parents of patients in the disease attack process of the patients are relieved; meanwhile, when an emergency occurs, an alarm is given in time to remind medical staff to take measures to ensure the safety of the patient during the epileptic seizure.

Drawings

FIG. 1 is a simplified modular connection diagram of a railing system according to the present invention;

FIG. 2 is a simplified assembled structural schematic view of an embodiment of the enclosure provided by the present invention; and

fig. 3 is a simplified assembled structural cross-sectional view of an embodiment of the enclosure provided by the present invention.

List of reference numerals

1: bed body 2: a bed plate 3: guard bar

4: the driving assembly 41: the drive motor 42: screw rod

5: cross bar 6: sliding rail

Detailed Description

The present invention will be described in detail with reference to the accompanying drawings.

Fig. 1 shows a simplified module connection diagram of a fence system for monitoring epilepsy in children provided by the present invention.

The fence system mainly comprises a detection unit and a data processing unit. In the invention, the detection unit comprises a brain wave monitoring device, an infrared detection device and a camera detection device. The data processing unit is used for receiving and analyzing the related data signals which are collected by the detection unit and related to the target object in the target area. The data processing unit is used for analyzing the epileptic seizure by combining one or more of first data and second data respectively detected by the brain wave monitoring device and the infrared detection device with a prestored epileptic database based on a prestored clock synchronization mode. So as to accurately capture the seizure time of the paroxysmal epilepsy and/or determine the cooperative operation mode between the camera detection device and the guardrail. The fence system for monitoring the children epilepsy, provided by the invention, can be used for detecting and analyzing different states and different disease processes of a patient on a sickbed, particularly for the clonic epilepsy disease process, and can start the acquisition process of video data signals when the patient suffers from the disease.

The camera detection device is used for collecting multi-part video signals of a body of an object to be detected. The infrared detection device is used for monitoring the real-time posture of an object to be detected. The brain wave monitoring device is used for collecting brain wave signals of a to-be-detected object. The monitoring system for the clonic epilepsy forms a serial detection control system by the camera detection device, the infrared detection device and the brain wave monitoring device, judges the epileptic seizure process of a to-be-detected object, accurately starts a video monitoring function in the morbidity process of a patient, and realizes the collection of effective data signals.

The fence system also includes an early warning unit. The early warning unit is used for receiving a data signal processing result obtained by analyzing the received related data signal of the target object in the covered target area acquired by the detection unit by the data processing unit and sending corresponding early warning information based on the data signal processing result.

For easy understanding, the protection control method of the fence for monitoring children epilepsy proposed by the present invention is initially described as follows:

in the process of monitoring the onset of epilepsy, the brain wave monitoring device is connected to a patient to be detected for a long time and is used for continuously detecting the brain electrical signals. The data processing unit analyzes the electroencephalogram data detected by the electroencephalogram monitoring device. When the electroencephalogram obtained by analyzing the data signals detected by the brain wave monitoring device is a fast wave of 10Hz, and the wave amplitude of the data signals is gradually increased, the frequency of the data signals is gradually reduced, and the slow waves of the clonic period alternate, the data processing unit preliminarily judges that the patient enters the full-body tonic clonic attack period. At this time, the infrared detection device synchronously starts the infrared detection function based on the preliminary judgment result analyzed by the data processing unit, and is used for detecting the posture change of the patient in the target area on the sickbed. The data processing unit carries out real-time gravity center analysis based on the image information detected by the infrared detection device, and when the real-time gravity center obtained after analysis is lower than a preset threshold value, the patient is judged to be in the lying posture at the moment. Preferably, the preset threshold is set between the real-time position of the center of gravity when the patient lies on the side and the real-time position of the center of gravity when the patient sits. When the patient suffers from the clonus of the whole body, the patient is suddenly straightened and falls down, and the patient is carried out in a lying posture to finish the subsequent epileptic attack process. The data processing unit starts the camera detection device based on a judgment result of the start of the whole body clonus attack type of the patient obtained after the data signals detected by the brain wave monitoring device and the infrared detection device are analyzed so as to acquire video signals in the process of carrying out the whole body clonus type epilepsy attack on the patient on the sickbed, and therefore judgment of the whole body clonus type epilepsy attack process and the acquisition process of related data are achieved. Preferably, when the camera detection device starts recording and storing the video image based on the determination result of onset of the whole-body tonic clonus analyzed by the data processing unit, the data processing unit marks the time sequence as the onset period. When the waveforms of the electroencephalogram signals detected by the electroencephalogram monitoring device during the attack are complex waves such as multi-spine-slow waves, spine-slow waves and/or tip-slow waves, the data acquired by the detection unit are classified and marked as the type of the whole body tonic clonic attack by the data processing unit, and the data are stored in the data memory. The data memory is used for storing the pre-stored data signal and the acquired data signal. Preferably, the stored information also includes patient basic information, such as name, age, etc. Preferably, when the waveform of the electroencephalogram signal detected by the electroencephalogram monitoring device during the attack does not conform to the waveforms of multi-spine-slow wave, spine-slow wave and/or tip-slow wave and other complex waves, the data acquired by the detection unit is separately stored by the data processing unit and marked as the suspected whole body tonic clonic attack type. When the electroencephalogram signals detected by the electroencephalogram monitoring device after the attack period have obvious electroencephalogram inhibition, the suspected whole-body tonic clonic attack types are marked as the whole-body tonic clonic attack types again and classified storage is carried out. Preferably, the alarm informs the family members and/or medical staff of the epileptic seizure according to the analysis and processing result of the data processing unit, and reminds the concerned patient of the change in the epileptic seizure process, so that emergency measures can be taken conveniently in an unexpected situation.

The data acquisition steps in the protection control method of the fence for monitoring the children epilepsy provided by the invention are further explained as follows:

the system is provided with at least three groups of camera detection devices. The camera detection device is at least used for collecting the image information of the whole body and/or a specific part of the patient. The image information is, for example, face image information, limb image information, torso image information, and the like. In the process of the disease attack of the epileptic, the pathological features of the epileptic are mainly reflected in the phenomena of convulsion of limbs, white foam or blood foam which is concentrated in the mouth of the face area, mydriasis and the like, and the accurate acquisition of the image information of the relevant parts is helpful for diagnosing the illness state of the epileptic.

The infrared detection device is used for detecting the motion data parameters of the target object in the target area. When the target area has the target object, the infrared detection device can detect the target object and then transmit the detection signal to the data processing unit for data analysis processing. Preferably, the infrared detection device may be an active infrared detection device and/or a passive infrared detection device.

Under the condition that the patient is in the region of the bed body 1 of the hospital bed, the camera detection device feeds back the result of analysis processing of the action data signals collected by the infrared detection device to the camera detection device based on the data processing unit so as to realize the collection process of video data signals.

The infrared detection device is used for detecting the action data signals of the target area covered by the detection unit. And when the action data signal is not detected in the target area, closing the camera detection device, namely stopping the video data signal acquisition process by the camera detection device. And when the action data signal is detected in the target area, the camera detection device is started, namely the camera detection device starts a video data signal acquisition process.

Under the condition that the infrared detection device detects the action data signals, the camera detection device feeds back results obtained by comparing the action data signals collected by the infrared detection device with video data signal collection thresholds to the camera detection device based on the data processing unit so as to realize the collection process of the video data signals. Specifically, when the infrared detection device detects the motion data signal, the data processing unit analyzes and compares the motion data signal with a preset video data signal acquisition threshold, and when the detected motion data signal is lower than the video data signal acquisition threshold, the acquired motion data signal is determined as the motion data signal generated by the general activity of the patient, and at this time, the camera detection device is not started to perform the video data signal acquisition process. When the detected action data signal exceeds the video data signal acquisition threshold, the acquired action data signal is judged as the action data signal generated by the epileptic seizure of the patient, and at the moment, the camera detection device is started to carry out the video data signal acquisition process.

Because when the patient is in the video data signal acquisition region, the produced action of the general activity that the patient carried out will trigger camera detection device carries out the acquisition process of video data signal to increase partly unnecessary data processing volume, and through the aforesaid with by the action data signal that infrared detection device gathered compares the process with video data signal acquisition threshold value, can realize distinguishing epilepsy morbidity process, thereby accurately carry out the video data signal acquisition of patient's epilepsy morbidity process, greatly practiced thrift data acquisition and analysis volume, improved detection efficiency.

The data processing unit carries out continuous analysis and comparison on the basis of the action data signals detected by the infrared detection device, when the variation amplitude and frequency of the action data signals within any certain continuous time period reach a preset threshold value, the patient is judged to be in the epileptic seizure process, and the camera detection device is started to collect the video data signals of the target area. When the epileptic patient is in seizure, the body and/or the limbs of the epileptic patient generate periodic tremor actions, namely, the action data parameters detected by the infrared detection device are limited within a certain range to be in the change similar to regular periodic pulsation during the seizure of the epileptic patient.

The data processing unit is used for continuously analyzing and comparing the action data signals detected by the infrared detection device with pre-stored data signals. When the amplitude and frequency of the data change between the motion data signal and the pre-stored data signal reach a preset matching degree, preferably, for example, when the matching degree reaches and/or exceeds 90%, it is determined that the patient is in the process of epileptic seizure, and the camera detection device is started to collect the video data signal of the target area. And when the data change amplitude and frequency of the action data signal and the prestored data signal are lower than the preset matching degree, judging that the patient is in a general activity state, and keeping the closing state of the camera detection device or closing the acquisition process of the video data signal of the camera detection device. The pre-stored data signal may comprise an epileptic patient onset motion data signal and/or an image data signal.

The data processing unit analyzes and processes the data signal detection result of the target object in the target area covered by the data processing unit based on the detection unit and turns on and/or turns off the detection unit according to the data analysis result, and the early warning unit turns on corresponding early warning information based on the data processing unit on the analysis result of the data signal detected by the detection unit.

When the background wave of electroencephalogram data detected by the brain wave monitoring device during an epileptic seizure is abnormal, namely, a plurality of spike waves with 9-10Hz of attack period and different degrees of rhythmic sharp-slow composite waves of the attack period are presented, and the data signals acquired by the brain wave monitoring device are in intermittent asymmetry, the data processing unit preliminarily judges that the electroencephalogram data are a tonic seizure. At this time, the infrared detection device synchronously starts the infrared detection function based on the preliminary judgment result analyzed by the data processing unit, and is used for detecting the posture change of the patient in the target area on the sickbed. The data processing unit carries out real-time gravity center analysis based on the image information detected by the infrared detection device, and when the real-time gravity center obtained after analysis is lower than a preset threshold value, the patient is judged to be in the lying posture at the moment. The data processing unit starts the camera detection device based on a judgment result of the beginning of the tonic morbidity type of the patient, which is obtained after the data signals detected by the brain wave monitoring device and the infrared detection device are analyzed, so that the acquisition work of the video signals is carried out on the patient on the sickbed in the whole body clonus type epilepsy morbidity process, and the judgment on the whole body clonus type epilepsy morbidity process and the acquisition process of related data are realized.

When the background wave of electroencephalogram data detected by the brain wave monitoring device during an epileptic seizure is normal, namely, the seizure period presents regularly symmetrical and diffusely synchronous 3 Hz-slow complex waves, and spike waves or spine-slow waves can appear during the seizure period, the data processing unit preliminarily judges the seizure to be absence based on the data signals collected by the brain wave monitoring device. Preferably, the change in the electroencephalogram characteristic of absence attacks may begin slightly faster, with 2-4Hz in the process, and may also have a spino-slow wave component.

The early warning unit sends out early warning information when the result obtained after the data processing unit analyzes and processes the data signals collected by the detection unit exceeds an early warning threshold value. Preferably, the early warning unit sends out early warning information when judging that the epilepsy is a seizure based on the result of the data processing unit after analyzing and processing the action data signal collected by the infrared detection device, that is, when the camera detection device starts to collect the video data signal, the early warning unit sends out early warning information to remind surrounding personnel of paying attention to the change condition of the patient, and simultaneously remind accompanying personnel of the patient to avoid approaching or shielding the camera detection device to intervene in the video data signal collection process of the epilepsy seizure process of the patient.

The early warning unit is used for receiving a data signal processing result obtained by analyzing the received related data signal of the target object in the covered target area acquired by the detection unit by the data processing unit and sending corresponding early warning information based on the data signal processing result.

The fence system also includes a lifting fence. The guardrail sets up on at least one side of bed body 1. For example, the guard rails are oppositely arranged on two sides of the bed body 1. The guardrail also comprises a driving component used for driving the guardrail lifting process according to a data signal processing result obtained after the received data processing unit analyzes the related data signals of the target object in the target area covered by the detection unit, wherein the related data signals are collected by the detection unit. The driving motor 41 may be a driving motor provided in chinese patent CN 110575329A.

Under the condition that a patient enters and/or is in the region of the bed body 1 of the sickbed, the guardrail feeds back a data signal processing result obtained by analyzing the data signal acquired by the detection unit to the driving assembly based on the data processing unit so as to realize the lifting process of the guardrail. Preferably, the driving assembly may adopt a lifting structure provided in chinese patent CN 110575329A. When the detection unit does not detect the relevant data signal in the target area, it is determined that no patient exists in the bed body 1, and the driving assembly is kept in a power-off state, that is, the guardrail is in a completely-falling state, so that the patient can conveniently enter the area of the bed body 1 of the hospital bed. When the detection unit starts to detect the related data signals, it is judged that a patient enters the bed body 1 or is in the area of the bed body 1, and at the moment, the driving assembly drives the guardrail to rise, so that safety protection is provided for the patient on the hospital bed.

The following further describes the cooperation mode between the camera detection device and the guardrail in the present application:

the system realizes the lifting process based on the result of analyzing and judging the acquired data signals of the detection unit through the data processing unit. When a patient enters and/or is on the sickbed, the infrared detection device in the detection unit starts to detect action data signals of a target object in a target area, the data processing unit compares the action data signals with pre-stored dangerous action data signals, and when the action data signals are matched with the pre-stored dangerous action data signals, the driving component drives the guardrail to rise in response to the matching result of the data processing unit. To prevent the patient from falling into bed. Preferably, the pre-stored dangerous motion data signals may include motion data signals generated by motions of a child such as standing, climbing, jumping, epileptic seizure, and the like.

The camera detection device starts to collect video data signals of a target object in a target area when the data signals are compared with pre-stored dangerous action data signals to reach a preset matching degree, the data processing unit analyzes the video data signal of the target object collected by the camera detection device to judge the geometric gravity center of the target object in real time, when the geometric gravity center reaches and/or exceeds a preset threshold value, the driving component drives the guardrail to lift in response to the judgment result of the data processing unit, and the early warning unit sends out early warning information when the comparison result of the geometric gravity center of the target object obtained by analyzing the video data signals collected by the camera detection device and the prestored combined gravity center threshold value is judged to be a dangerous state based on the data processing unit. When the human body moves, the geometric gravity center position of the whole body changes at any time, and different movement postures correspond to different geometric gravity center positions. When the child is in a standing, climbing, jumping and other motion state, the geometric gravity center of the child is obviously higher than that of the child in sitting, lying and other postures. The geometric center of gravity may be obtained by analyzing the image data signal for the target object.

When a child patient enters and/or is in a sickbed, the infrared detection device starts to collect relevant action data signals of a target object, the collected action data signals are sent to the data processing unit to be compared with pre-stored dangerous action data signals, and when the comparison result reaches a preset matching degree, for example, the matching degree reaches 90%, the camera detection device is started to collect video data signals of the target object in a target area. The data processing unit preferably converts the acquired video data signals into image data signals and analyzes the geometric center of gravity of the image data signals, so as to verify whether the target object is in a state of performing dangerous actions.

When a patient is in the process of epilepsy attack, the action data signals collected by the infrared detection device trigger the camera detection device to carry out the process of collecting the video data signals, so that even if the geometric gravity center of the epilepsy attack process of the patient is lower than the preset threshold of the geometric gravity center, the video data signal collection in the attack process is not influenced.

The predetermined threshold value of the geometric center of gravity is the height of the center of gravity when the child sits, for example, the predetermined threshold value of the geometric center of gravity is 40-50 cm.

The guard rail is raised in stages based on the analysis result of the acquired data signal of the detection unit by the data processing unit. When a patient enters and/or is positioned on the sickbed, an infrared detection device in the detection unit starts to detect action data signals of a target object in a target area, the data processing unit compares the action data signals with pre-stored dangerous action data signals, when the action data signals are matched with the pre-stored dangerous action data signals, the driving assembly responds to the matching result of the data processing unit to drive the guardrail to perform primary lifting, and the early warning unit judges that the alarm condition is a potential dangerous state based on the condition that the action data signals collected by the infrared detection device and the pre-stored dangerous action data signals meet the preset matching degree after the data processing unit compares the action data signals with the pre-stored dangerous action data signals.

Preferably, the height of the guardrail at which one level is raised is at least half of the maximum height that the guardrail can be raised. The guardrail slowly rises in the process of primary rising, and simultaneously sends out voice prompt through the early warning unit.

When the data signals are compared with pre-stored dangerous action data signals to achieve a preset matching degree, video data signals are collected for a target object in a target area, the data processing unit analyzes the video data signals of the target object collected by the camera detection device to judge the geometric gravity center of the target object in real time, when the geometric gravity center reaches and/or exceeds a preset threshold value, the driving assembly responds to the judgment result of the data processing unit to drive the guardrail to perform secondary lifting, and the early warning unit sends early warning information when the geometric gravity center of the target object obtained after the video data signals collected by the camera detection device are analyzed and the comparison result of the pre-stored combined gravity center threshold value is judged to be a dangerous state based on the data processing unit.

Preferably, the secondary lifting height of the guardrail is the maximum height that the guardrail can lift. For children patients with epilepsy, various sudden and direct sensory stimulation which may induce epilepsy attacks should be avoided as much as possible in daily life, and an environment which is comfortable, loose and does not have a sense of space suppression should be created, so that the development of the patients is facilitated, active guidance can be generated for the patients, and the treatment and rehabilitation of the patients are facilitated. Therefore, in the process of collecting the video data signals and collecting the physiological parameter data in the process of the epileptogenic disease, the condition that the guard rail suddenly rises and falls in the checking process to stimulate the epileptogenic patient should be avoided.

The detection unit is used for collecting relevant data signals of the target object in the target area covered by the detection unit and sending the relevant data signals to the data processing unit for analyzing and processing the received data signals. The data processing unit is used for receiving the relevant data signals of the target object in the target area covered by the detection unit, analyzing the data signals and sending the data signal processing result to the early warning unit and the guardrail. The system performs lifting operation on the data signal processing result obtained after the received data processing unit analyzes the relevant data signal of the target object in the target area covered by the detection unit, so as to realize lifting and falling of the guardrail.

In the initial state, the guard rail is in a fully dropped state. The initial state is the state before the patient enters the bed body 1, and at the moment, the highest position of the guardrail is at least lower than the upper surface of the bed body 1. At present when carrying out video monitoring and relevant physiological parameter data detection to children's epilepsy patient's morbidity process, at first put into the appointed sick bed with the patient on, pull up the guardrail simultaneously and fix, because in above-mentioned long-time inspection process, the accompanying and attending personnel such as patient's head of a family need feed the patient and eat, feed medicine or in order to reduce the patient and be in when the claustrophobia produced when the space, all can put down the guardrail temporarily to in order to look after the patient better. Under the condition, when accompanying personnel such as parents of a patient are busy in other things and forget to pull up the guardrail, the attention to the patient is inevitably cared, and for a child patient, the guardrail has the characteristic of being natural and vivid, so that the patient can easily fall down, and a sickbed adopted at present for examining the child epilepsy patient is higher than a common household bed, so that the child can be injured to a greater extent when falling down.

The detection unit is used for collecting related data signals of a target object in a target area covered by the detection unit, so that the state of a child patient on a hospital bed is monitored, the state of the child patient on the hospital bed is judged after the data processing unit is used for analyzing and processing the state of the child patient based on the collected related data signals, if the related data signals are detected in the target area, the child patient is judged to enter the target area, the safety of the patient on the hospital bed is protected to the maximum degree at the moment, and the guardrail is lifted to provide a safety protection function.

Preferably, the system performs the falling operation process based on the fact that the data processing unit stops receiving the acquisition of any relevant data signal of the target object in the target area covered by the detection unit. When accomplishing relevant data acquisition process, medical personnel close the data acquisition process of detecting element, and data processing unit begins to stop receiving relevant data signal to judge that the data signal acquisition process of epilepsy morbidity process ends, the patient need leave the bed this moment, thereby triggers the guardrail falls, is convenient for the patient to leave the bed.

The invention also provides a fence for monitoring children with epilepsy, which at least comprises a guardrail mechanism. The guardrail mechanisms are at least arranged on the opposite side edges of the bed body 1. A bed board is arranged on the bed body 1. The guardrail mechanism at least comprises a guardrail 3 and a driving assembly 4 (comprising a screw rod 42 and a driving motor 41). The guardrail 3 can set up in the side of the bed body 1 with sliding, and then make guardrail 3 detachably install in the bed body 1. The driving assembly 4 is disposed inside the bed body 1 and connected to the guardrail 3, so that the driving assembly 4 can drive the guardrail 3 to extend out of the bed body 1 and be higher than the bed edge or the guardrail 3 retracts into the bed body 1 and be lower than the bed edge. Preferably, the guardrail 3 is installed on a horizontally arranged cross rod 5, and two ends of the cross rod 5 are respectively provided with a sliding rail 6. Two slide rails 6 are all fixed set up in the inside of the bed body 1 to make the guardrail 3 can follow slide rail 6 slides.

When the children patient who waits to carry out video monitoring and physiological parameter collection gets into on the bed body 1 of sick bed, through drive assembly 4 drives rather than being connected guardrail 3 promotes gradually, finally reaches predetermined maximum height to with this children patient's restriction on the bed body 1, prevent that it from leading to falling the condition emergence of bed because involuntary movements such as twitching at the sick in-process of epilepsy. Preferably, the guard rail 3 is vertically reciprocable in the direction of travel of the drive assembly 4. Preferably, the driving assembly 4 is connected to the middle of the guard rail 3. Through setting up horizontal lift guardrail 3 can realize that it prevents at the rail that the infant from weighing down the quick adjustment of bed in-process. The driving assembly 4 is lifted to the highest position, i.e. when the fence is completely lifted, it is in the first state. The support mechanism is lowered to the lowermost position, i.e. when the pen is fully stowed, which is now the second state. In the first state, the fence provides stable safety protection for the infant patient, and prevents the infant patient from falling off the bed in the disease attack process; in the second state, the enclosure is out of the blocking function, so that the patient can enter or leave the bed body 1 conveniently.

The fence at least comprises a detection unit, a data processing unit, an alarm unit and a receiving unit. The detection unit can acquire data signals of target positions of epileptics and parameters of surrounding environment of sickbeds of epileptics and transmit the data signals to the data processing unit in a communication mode. The acquired data signals of the target part of the epileptic at least comprise acceleration signals, electroencephalogram signals, electrocardiosignals and muscle electric signals. The acquired ambient parameter data signals comprise at least infrared detection signals and/or image data. The data processing unit can process the received data signal and send the data processing result to the alarm unit in a communication mode. The alarm unit can trigger reminding information and/or alarm information according to the received data processing result. The receiving unit can be used for receiving the reminding information and/or the alarm information sent by the alarm unit. Preferably, the detection unit includes: the first sensor is used for acquiring an acceleration signal on a target part of the epileptic; the second sensor is used for acquiring an electroencephalogram signal of the epileptic; the third sensor is used for acquiring electrocardiosignals of the epileptic; and the fourth sensor is used for acquiring the muscle electric signal on the target part of the epileptic patient. The detection unit starts to collect data signals at least in the first state. Preferably, the pen further comprises a data store for storing the pre-stored data signal.

The working process of the fence for monitoring children epilepsy provided by the invention is further explained as follows:

and comparing the acquired first data signal of the epileptic with a prestored data signal, wherein the compared result is based on a preset classification threshold.

Under the condition that the first data signal exceeds a first threshold value, a second data signal of the parameters of the surrounding environment of the epileptic is acquired through a detection unit, and the data processing unit obtains an analysis result according to the dynamic change condition of the second data signal and sends the analysis result to the alarm unit to trigger corresponding reminding information so as to transmit the reminding information to the receiving unit.

And under the condition that the first data signal exceeds a second threshold value, a second data signal of the parameters of the surrounding environment of the epileptic is acquired through a detection unit, and the data processing unit obtains an analysis result according to the dynamic change condition of the second data signal and sends the analysis result to the alarm unit to trigger corresponding alarm information so as to transmit the alarm information to the receiving unit.

And the dynamic change condition of the second data is divided into positive or negative based on the real-time dynamic comparison result.

When the dynamic change condition is positive, it reflects that the second data changes based on the real-time detection result and the stored initial data, namely, the person exists in the detection area of the second data signal.

When the dynamic change condition is negative, it reflects that the second data is unchanged from the stored initial data based on the real-time detection result, i.e. the detection area of the second data signal has no human existence. The stored initial data is a data signal collected when no relevant personnel are present around the patient bed. The first data signal is the data signal of the target part of the epileptic patient detected by the detection unit. The second data signal is the data signal of the parameters of the surrounding environment of the sickbed of the epileptic patient detected by the detection unit. The first threshold is a relevant parameter value in the early stage of epileptic seizure. The second threshold is a value of a parameter associated with the seizure phase of the epileptic.

The alarm unit also comprises a mobile terminal, such as a mobile phone, a tablet and the like. The reminding information and/or the alarming information can be issued through the mobile terminal. The mobile terminal can be arranged around a hospital bed so as to be used by accompanying personnel (parents and the like) of a patient to acquire corresponding reminding information and/or alarm information. The mobile terminal can be further arranged at a nurse station and/or a doctor so that medical staff and/or the doctor can acquire the state information of the patient in time, emergency measures can be taken conveniently under emergency conditions, or accompanying staff of the patient can be reminded of not intervening the patient in the seizure process of the patient, and accordingly collection of related data signals is not affected. Preferably, the alarm unit can further comprise a bell, a vibrator, a buzzer alarm, a voice broadcaster and the like, and the alarm unit can be fixed on the fence through a structure with a mesh bag, and is preferably positioned on the accompanying side of the patient. During the patient's attack, an alarm can be given by the above-mentioned alarm device.

The first data selectively triggers corresponding alarm information in an alarm unit based on comparison results with pre-stored data signals and combined with change conditions of second data. The triggering mode of the alarm information is at least carried out in the following mode:

s1: the data processing unit compares the first data signal acquired by the detection unit with a pre-stored first threshold value to determine at least the disease state period of the corresponding patient.

S2: and under the condition that the first data signal exceeds a pre-stored first threshold value, the data processing unit further compares the second data signal acquired by the detection unit with the stored initial data. The alarm unit triggers corresponding alarm information based on the dynamic change result of the second data signal. When the dynamic change result of the second data signal is positive, the alarm unit sends out early warning information to remind related personnel of paying attention to the change condition of the patient in time. When the dynamic change result of the second data signal is negative, the alarm unit sends alarm information to the receiving unit to remind medical staff or patient accompanying staff to reach the periphery of the patient bed, and the patient change condition is closely concerned, so that the patient can be timely treated when the dangerous condition occurs in the disease occurrence process.

S3: and under the condition that the first data signal exceeds a pre-stored second threshold value and the dynamic change result of the second data signal is positive, the alarm unit triggers the reminding information. When the first data signal exceeds the pre-stored second threshold value and the dynamic change result of the second data signal is negative, the alarm unit sends alarm information to the receiving unit to remind medical staff or patient accompanying staff to go to the periphery of the patient bed and pay close attention to the change condition of the patient, so that the patient can be timely treated when a dangerous condition occurs in the disease occurrence process.

According to a preferred embodiment, the alarm unit is adapted to switch off the associated alarm information when the dynamic change based on the second data signal is positive.

According to a preferred embodiment, the guard rail 3 is made of an elastic material. And the guardrail 3 is provided with corresponding infrared transmitting and receiving devices which are matched with each other along the axis direction. Under the working condition that the fence is lifted, because the guardrail 3 does not receive the external force action except in the direction parallel to the axis of the guardrail, the infrared rays emitted by the infrared emitting device can be received by the infrared receiving device. When guardrail 3 receives except that being on a parallel with its axis direction exogenic action, infrared receiving device can not receive the infrared ray because of the skew its former orbit of infrared ray that infrared emission device sent, triggers alarm device this moment, reminds medical personnel or patient's attendant to pay close attention to the patient's on the sick bed condition to avoid the patient to cross the rail and take place to weigh down the danger of bed.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. A fence system for pediatric epilepsy monitoring, comprising:

lifting type guardrails;

a detection unit; and

a data processing unit for receiving and analyzing the related data signal related to the target object in the target area collected by the detection unit,

it is characterized in that

The detection unit comprises a continuous online monitoring device, a primary image detection device and a depth image detection device, the online monitoring device, the primary image detection device and the depth image detection device form a serial detection control system/telescopic protection alarm bed file, the data processing unit performs epileptic seizure analysis by combining a prestored epileptic seizure database with one or more of first data and second data respectively detected by the continuous online monitoring device and the primary image detection device based on a prestored clock synchronization mode so as to accurately capture the seizure time of paroxysmal epilepsia and/or determine a matching operation mode between the depth image detection device and the guardrail,

wherein the online monitoring device has priority over the primary image detection device, and the primary image detection device has priority over the depth image detection device and the guardrail;

in the monitoring process, the on-line monitoring device continuously detects the electroencephalogram signals of the patient, and the data processing unit analyzes the detection data of the on-line monitoring device;

the data processing unit starts the primary image detection device to detect the posture change of the patient when the primary analysis shows that the patient enters the full-body tonic clonic attack period, and the image information detected by the data processing unit is subjected to real-time gravity center analysis;

when the data processing unit analyzes that the onset of the full-body clonus of the patient is started based on the data detected by the online monitoring device and the primary image detection device, the data processing unit starts a depth image detection device to acquire video signals in the full-body clonus type epileptic onset process of the patient on a sickbed;

wherein the continuous online monitoring device refers to a brain wave monitor, the primary image detection device refers to at least one group of infrared probes, and the depth image detection device refers to at least one group of cameras.

2. The corral system for monitoring children's epilepsy according to claim 1, wherein the data processing unit combines one or more of the first data and the second data respectively detected by the continuous on-line monitoring device and the primary image detection device with a pre-stored epilepsy database based on a first infant status factor and a pre-stored clock synchronization pattern, performs an epileptic seizure analysis thereon to obtain one or more of a second infant status factor, a third infant status factor and a fourth infant status factor, and determines at least one cooperating operation pattern for implementing children's epilepsy monitoring and safety protection based on the first to fourth infant status factors.

3. The corral system for child epilepsy monitoring of claim 2, wherein the data processing unit is configured to:

based on the first infant state factor and a pre-stored clock synchronization mode, indicating the continuous online monitoring device to detect to obtain first data, and combining the first data with a pre-stored epilepsy database to perform epileptic seizure analysis to determine a second infant state factor; and/or

Based on the second infant state factor and a pre-stored clock synchronization mode, instructing the primary image detection device to perform detection to obtain second data, and performing seizure analysis by combining the second data with a pre-stored epilepsy database to determine a third infant state factor; and/or

Performing seizure analysis based on the first, second, third and pre-stored clock synchronization patterns in conjunction with a pre-stored database of epilepsy to determine a fourth child state factor; and/or

And combining the fourth infant state factor with a pre-stored epilepsy database, and performing epileptic seizure analysis to determine at least one cooperation operation mode for indicating the depth image detection device and the guardrail.

4. The corral system for child epilepsy monitoring of claim 3, wherein the data processing unit is configured to:

based on the first infant state factor and a pre-stored clock synchronization mode, instructing the continuous online monitoring device to detect a target object in a target area to obtain first data, performing seizure analysis by combining the first data with a pre-stored seizure database, and preliminarily judging a second infant state factor related to the seizure type of the patient according to the obtained data analysis result; and/or

And feeding back the obtained data analysis result to the primary image detection device for secondary data signal detection, carrying out epileptic seizure analysis on the obtained second data in combination with a prestored epileptic database, and determining to obtain a third infant state factor related to the epileptic seizure type of the patient.

5. The fence system for monitoring children epilepsy as claimed in claim 4, wherein the data processing unit performs a seizure analysis based on the first data and a pre-stored epilepsy database, and preliminarily determines a second infant state factor when the patient enters into the generalized tonic clonic seizure stage when the electroencephalogram is analyzed to have an abnormal waveform; and/or

The data processing unit is used for analyzing epileptic seizure based on the second data and a prestored epileptic database, and judging and outputting a third infant state factor of which the patient is in the lying posture when the real-time gravity center obtained by analysis is lower than a preset threshold value; and/or

The data processing unit is based on first infant state factor, second infant state factor, third infant state factor and the clock synchronization mode who prestores, combines the epileptic database who prestores to carry out epileptic seizure analysis, and when the analysis reachs the fourth infant state factor that patient's whole body tonic clonic morbidity type begins, awaken up the depth image detection device who is under standby state, be used for carrying out the epileptic morbidity process of whole body tonic clonic type to the patient on the sick bed and carry out video signal's collection work, thereby realize the process of gathering to the judgement and the relevant data of whole body clonic epileptic morbidity process.

6. The fence system for children epilepsy monitoring of claim 5, wherein when the data processing unit analyzes a fourth infant state factor at the beginning of the patient's whole body tonic clonus onset type to wake up the depth image detecting device in the standby state to start recording and storing the video image, the data processing unit marks the current time sequence as the seizure period.

7. The corral system for children's epilepsy monitoring of claim 6, wherein during the seizure, when the waveform of the EEG signal detected by the continuous online monitoring device is multi-spine-slow wave, spine-slow wave and/or spike-slow wave, the data processing unit classifies the data collected by the detection unit and transmits the data into the data storage for storage in a manner of being marked as a whole body tonic clonic seizure type.

8. The fence system for monitoring children epilepsy as claimed in claim 7, wherein after the end of the episode period, when significant electroencephalogram suppression occurs in the electroencephalogram signals detected by the continuous online monitoring device, the data processing unit re-marks the suspected whole-body tonic clonic episode type as a whole-body tonic clonic episode type and performs classified storage.

9. The corral system for children's epilepsy monitoring of claim 8, wherein the electroencephalographic abnormality waveform is a fast wave at 10Hz and its waveform features alternate with increasing amplitude, decreasing frequency, and slow waves at clonic stages.

10. A protection control method of a fence for monitoring children epilepsy is characterized in that

The method comprises the following steps that an online monitoring device continuously detects electroencephalogram signals of a patient, and a data processing unit analyzes detection data of the online monitoring device;

the data processing unit starts a primary image detection device to detect posture change of a patient when the primary analysis shows that the patient enters a full-body tonic clonic attack period, and image information detected by the data processing unit is subjected to real-time gravity center analysis;

wherein the continuous online monitoring device refers to a brain wave monitor, the primary image detection device refers to at least one group of infrared probes, and the depth image detection device refers to at least one group of cameras;

and, the protection control method includes the steps of:

s1: the data processing unit compares the first data signal acquired by the detection unit with a pre-stored first threshold value to at least determine the period of the disease state of the corresponding patient;

s2: under the condition that the first data signal exceeds a pre-stored first threshold value, the data processing unit further compares a second data signal acquired by the detection unit with stored initial data, the alarm unit triggers corresponding alarm information based on a dynamic change result of the second data signal, when the dynamic change result of the second data signal is positive, the alarm unit sends out early warning information to remind relevant personnel of paying attention to the change condition of a patient in time, and when the dynamic change result of the second data signal is negative, the alarm unit sends out alarm information to the receiving unit to remind medical personnel or a patient attendant;

s3: and under the condition that the first data signal exceeds the pre-stored second threshold value and the dynamic change result of the second data signal is positive, the alarm unit triggers the reminding information, and under the condition that the first data signal exceeds the pre-stored second threshold value and the dynamic change result of the second data signal is negative, the alarm unit sends alarm information to the receiving unit to remind and inform medical staff or patient accompanying staff.