CN114900806B - An Internet of Things critical care system - Google Patents

Abstract

The invention relates to the field of Internet of things, in particular to an Internet of things intensive care system, which comprises: the system comprises a vital sign access module, a pipeline state access module, a patient posture access module, a monitoring threshold value self-adaption module, a central processing unit, a joint analysis module and a GSM alarm module. The binocular vision monitoring system is introduced, so that the change of the posture of the patient can be monitored, and the abnormal posture of the patient can be found in time; corresponding safety thresholds can be configured for each monitoring parameter according to the normal intervals of the historical physiological indexes of different patients, the medication conditions and the like, so that the pertinence of monitoring can be improved, and meanwhile, the false alarm rate can be reduced; the design of the abnormal data display paste arranged on each pipeline and each monitoring device is pasted, so that after medical staff arrive at the site, the abnormality can be rapidly positioned, and the workload of the medical staff is reduced.

Description

An Internet of Things critical care system

Technical field

The present invention relates to the field of Internet of Things, and specifically relates to an Internet of Things intensive care system.

Background technique

The Intensive Care Unit (ICU) is for patients who are life-threatening or have potential high-risk factors due to various reasons. For ICU patients, post-operative monitoring is the core of perioperative care. If comprehensive, systematic and comprehensive care cannot be provided in a timely and effective manner, Continuous and strict medical monitoring may directly endanger the patient's life. For this reason, medical staff need to spend a lot of time and energy on regular inspections to ensure patient safety and normal operation of ICU equipment.

Currently, there are many types of alarms in existing IoT critical care systems, and each device is basically equipped with an instrument failure alarm module. Medical staff are prone to "alarm fatigue". At the same time, the existing monitoring system generally ignores the changes in vital sign data that may be caused by different patients' different physiological conditions, medication conditions, etc., and also misses the monitoring of patient posture data, which can easily increase the false alarm rate of the system to a certain extent; and every time After calling the police, medical staff often need to spend a lot of time to confirm the problem after arriving at the scene, which is time-consuming and labor-intensive and can easily delay time.

Contents of the invention

The purpose of the present invention is to provide an Internet of Things intensive care system that can realize targeted and comprehensive monitoring of patients, while reducing the workload of medical staff and avoiding the occurrence of alarm fatigue.

In order to achieve the above objects, the technical solutions adopted by the present invention are:

An Internet of Things intensive care system, including: a vital sign access module for accessing the patient's vital sign data based on each monitoring device; a pipeline status access module for accessing oxygen supply pipelines, drainage pipelines, The running flow rate of gas/liquid in the injection pipeline; the patient posture access module is used to access the patient's body posture data through the binocular vision monitoring system; the monitoring threshold adaptive module is used to provide each patient with information based on different patient conditions. The safety threshold corresponding to the monitoring parameter configuration; the central processor is used to receive the patient's vital sign data and the operating flow rate of each pipeline for display, and combine the received patient's vital sign data, the operating flow rate of each pipeline and the settings Real-time analysis and comparison of safety thresholds, and hierarchical alarms for abnormal patient vital sign data and abnormal pipeline operation flow rates according to the set alarm levels; used to receive the patient's body posture data and complete the identification and display of abnormal body posture data and alarm; it is also used to trigger the abnormal data display stickers attached to each pipeline and each monitoring equipment to start displaying abnormal data, so that medical staff can quickly locate abnormalities after arriving at the scene; the joint analysis module, When any of the patient's vital sign data, the operating flow rate of each pipeline, and the patient's body posture data falls into the joint analysis start threshold, the joint analysis model is started to conduct a comprehensive analysis of the patient's current situation; the GSM alarm module, The central processor is activated when an alarm signal is sent out, and is used to send the alarm signal in the form of a short message to a preset handheld terminal of medical staff to prompt the medical staff to take corresponding measures.

As a further design of this solution, the pipeline status access module includes flow velocity collection stickers attached to the drainage pipeline and injection pipeline and a thermistor sensing sticker attached to the patient's nasal outlet.

As a further design of this solution, the binocular visual monitoring system includes an orbital inspection robot arranged on the ceiling of the ward, and a data post-processing system contained in the orbital robot. The data post-processing system extracts patient information based on the kinect depth sensor. The skeleton information of the body posture image is then compared for similarity with the preset abnormal posture standard bone information. If the similarity is greater than a certain threshold, it is determined that the current patient's body posture is abnormal, and the corresponding recognition result is output to CPU.

As a further design of this solution, every time a patient is changed, the orbital inspection robot needs to complete a reset of the image acquisition coordinates. Specifically, every time a patient is changed, the orbital robot needs to perform patient inspection within its adjustable position range. Image collection, then completes the analysis of these patient images, selects the image that best reflects the patient's body posture, and then defaults to the image collection coordinates corresponding to the current image as the image collection coordinates for subsequent patient body posture monitoring.

As a further design of this solution, the monitoring threshold adaptive module is used to configure corresponding safety thresholds for each monitoring parameter based on the normal range of historical physiological indicators, medication status, etc. of different patients.

As further design of this plan, it also includes:

The patient demand access module is used to access patients' reasonable demands and complete responses to unreasonable demands.

As a further design of this solution, the patient's demand access module includes a pickup installed at the bedside, a speaker, and a ring set on the patient's finger. The ring is equipped with a button to wake up the pickup. When the user needs to make a request, press button, the announcer and pickup start, guiding the user to complete the upload of requirements.

As further design of this plan, it also includes:

The predictive analysis module uses statistical regression and data-driven methods to establish a short-term prediction unit, and generates short-term patient physical condition forecast information based on the comprehensive analysis results obtained by the joint analysis module.

The invention has the following beneficial effects:

1) The introduction of a binocular vision monitoring system can monitor changes in the patient's posture and detect abnormal patient postures in a timely manner;

2) Corresponding safety thresholds can be configured for each monitoring parameter based on the normal range of historical physiological indicators and medication status of different patients, which can improve the pertinence of monitoring and reduce the false alarm rate;

3) The design of abnormal data display stickers attached to each pipeline and each monitoring equipment makes it easier for medical staff to quickly locate abnormalities after arriving at the scene, thus reducing the workload of medical staff;

4) The hierarchical alarm mode is adopted to avoid alarm fatigue.

5) Introducing a patient demand access module and configuring a patient demand classification processing system can improve the monitoring scope and appease patients' emotions, while also avoiding unreasonable demands that increase the workload of medical staff.

Description of the drawings

Figure 1 is a system block diagram of an Internet of Things critical care system according to an embodiment of the present invention.

Detailed ways

In order to make the purpose and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with examples. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

As shown in Figure 1, an Internet of Things intensive care system according to an embodiment of the present invention includes: a vital sign access module 1, used to access the patient's vital sign data based on each monitoring device; a monitoring device working condition access module 2 , used to access the working condition data of each monitoring equipment; pipeline status access module 3, used to access the operating flow rate of gas/liquid in the oxygen supply pipeline, drainage pipeline, and injection pipeline; patient attitude access module 4. Used to access the patient's body posture data through the binocular vision monitoring system; Monitoring threshold adaptive module 5, used to configure corresponding safety thresholds for each monitoring parameter according to different patient conditions; Specifically, the monitoring valve The value adaptive module configures corresponding safety thresholds for each monitoring parameter based on the normal range of historical physiological indicators and medication status of different patients, which can improve the pertinence of monitoring and reduce the false alarm rate; the central processor uses It displays the patient's vital sign data, the operating flow rate of each pipeline, and the working condition data of each monitoring equipment, and combines the received patient's vital sign data, the operating flow rate of each pipeline, and the working condition data of each monitoring equipment with The set safety threshold is analyzed and compared in real time, and classified alarms are made according to the set alarm level for abnormal patient vital sign data, abnormal pipeline operation flow rate, and working condition data of each monitoring equipment; used to receive the patient's body posture data, And complete the identification, display and alarm of abnormal body posture data; it is also used to trigger the abnormal data display stickers set on each pipeline and each monitoring equipment to start displaying abnormal data, so that it is convenient for medical staff to arrive at the scene. Abnormalities can be quickly located; the nurse station is equipped with a display screen, through which the nurse can see the condition of each patient at a glance; the joint analysis module 6 can analyze the patient's vital sign data, the operating flow rate of each pipeline, and the patient's body When any item in the posture data falls into the joint analysis start threshold, the joint analysis model is started to conduct a comprehensive analysis of the patient's current situation; the predictive analysis module 7 uses statistical regression and data-driven methods to establish a short-term prediction unit, and obtains The comprehensive analysis results generate short-term patient physical condition forecast information; the patient demand access module 8 is used to access the patient's reasonable needs and complete responses to unreasonable needs. It has a built-in data processing system to distinguish reasonable needs from unreasonable needs. Demand does not configure the corresponding reply voice for unreasonable demand. Generally, users in different situations have different reasonable demand standards. As long as it is a reasonable demand, it will be directly conveyed to the nurse station; GSM alarm module 9, in the central processor It is activated when an alarm signal is sent out and is used to send the alarm signal in the form of a short message to a preset medical handheld terminal to prompt the medical staff to take corresponding measures. Each abnormal situation uses a unique alarm SMS template, so that medical staff can clearly distinguish the alarm situation and its corresponding degree of urgency. Generally, each situation can be divided into: emergency alarm, warning alarm, and alarm prompt. and normal monitoring, emergency alarm is the highest level alarm.

In this embodiment, the pipeline status access module includes a flow velocity collection patch attached to the drainage pipeline and the injection pipeline, and a thermistor sensing patch attached to the patient's nasal outlet. Among them, the flow rate collection sticker includes a light source emission sticker and a photosensitive detection sticker. A light source emission device is installed in the center of the light source emission sticker, and a circle of pressure-sensitive adhesive is evenly arranged around the light source emission device. A photosensitive element and a detection circuit are installed in the center of the photosensitive detection sticker. , a circle of pressure-sensitive adhesive is evenly distributed around the photosensitive element. The detection circuit is connected to the photosensitive element and is used to convert the optical signal detected by the photosensitive element into an electrical signal, and send the resulting electrical signal to the central government through a wireless communication module. processor. The light source emission patch and the photosensitive detection patch are symmetrically installed on both sides of the drip pot of the intravenous injection tube, symmetrically arranged on both sides of the liquid inlet of the urine bag, and symmetrically arranged on both sides of the liquid inlet of the drainage bag.

In this embodiment, the binocular visual monitoring system includes an orbital inspection robot arranged on the ceiling of the ward and a data post-processing system contained in the orbital robot. The data post-processing system extracts the patient's body posture image based on the kinect depth sensor. skeletal information, and then compare the similarity between the obtained skeletal information and the preset abnormal posture standard skeletal information. If the similarity is greater than a certain threshold, it is determined that the current patient's body posture is abnormal, and the corresponding recognition results are output to the central processor. . Every time a patient is changed, the orbital inspection robot needs to complete a reset of the image acquisition coordinates. Specifically, every time a patient is changed, the orbital robot needs to collect patient images within its adjustable position range, and then complete these patient For image analysis, select the image that best reflects the patient's body posture, and then default the image collection coordinates corresponding to the current image as the image collection coordinates for subsequent patient body posture monitoring.

In this embodiment, the patient's demand access module includes a pickup installed at the bedside, a broadcaster, and a ring set on the patient's finger. The ring is equipped with a button to wake up the pickup. When the user needs to make a request, press the button and the sound will be played. The speaker and pickup are started at the same time. At this time, the announcer will play the audio that guides the user to complete the upload of the requirements, such as "Please state your requirements after the beep"; after the user completes the requirement upload, the data processing system completes the review of the user's requirements. , if it is a reasonable demand, it will be communicated directly to the nurse's desk. If it is an unreasonable demand, the corresponding explanation audio needs to be configured for the demand, so as to appease the patient's emotions.

The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be made. regarded as the protection scope of the present invention.

Claims (4)

1. An Internet of Things intensive care system, characterized by: including: The vital sign access module is used to access the patient's vital sign data based on each monitoring device; The pipeline status access module is used to access the operating flow rate of gas/liquid in the oxygen supply pipeline, drainage pipeline, and injection pipeline; The patient posture access module is used to access the patient's body posture data through the binocular vision monitoring system; The monitoring threshold adaptive module is used to configure corresponding safety thresholds for each monitoring parameter according to different patient conditions; The central processor is used to receive the patient's vital sign data and the operating flow rate of each pipeline for display, and conduct real-time analysis and comparison of the received patient's vital sign data, the operating flow rate of each pipeline and the set safety threshold. Provides hierarchical alarms for abnormal patient vital sign data and abnormal pipeline operation flow rates according to the set alarm levels; used to receive the patient's body posture data and complete the identification, display and alarm of abnormal body posture data; and also used to trigger paste The abnormal data display stickers set on each pipeline and each monitoring equipment are activated to display abnormal data, so that medical staff can quickly locate abnormalities after arriving at the scene; The joint analysis module: when any of the patient's vital sign data, the operating flow rate of each pipeline, and the patient's body posture data falls into the joint analysis start threshold, the joint analysis model is started to conduct a comprehensive analysis of the patient's current condition; The GSM alarm module is activated when the central processor sends an alarm signal and is used to send the alarm signal in the form of a short message to a preset medical handheld terminal to prompt the medical staff to take corresponding measures; The binocular visual monitoring system includes an orbital inspection robot arranged on the ceiling of the ward and a data post-processing system contained in the orbital robot. The data post-processing system extracts the skeletal information of the patient's body posture image based on the kinect depth sensor, and then Compare the similarity between the obtained skeletal information and the preset abnormal posture standard skeletal information. If the similarity is greater than a certain threshold, it is determined that the current patient's body posture is abnormal, and the corresponding recognition result is output to the central processor; each time the patient is changed , the orbital inspection robot needs to complete a reset of the image collection coordinates. Specifically, every time a patient is changed, the orbital robot needs to collect patient images within its adjustable position range, and then complete the analysis of these patient images. Select the image that best reflects the patient's body posture, and then default the image collection coordinates corresponding to the current image as the image collection coordinates for subsequent patient body posture monitoring; Also includes: The patient needs access module is used to access the patient's reasonable needs and complete responses to unreasonable needs; the patient needs access module includes a pickup, an announcer, and a ring set on the patient's finger. Configure a button to wake up the pickup. When the user needs to send a request, press the button, and the speaker and pickup will start to guide the user to complete the upload of the request. 2. An Internet of Things intensive care system as claimed in claim 1, characterized in that: the pipeline status access module includes a flow rate collection sticker that is affixed to the drainage pipeline and the injection pipeline, and a flow rate collection sticker that is affixed to the patient's nasal outlet. Thermistor sensing patch. 3. An Internet of Things intensive care system as claimed in claim 1, characterized in that: a monitoring threshold adaptive module is used to configure corresponding monitoring parameters for each patient according to the normal range of historical physiological indicators and medication conditions of different patients. safety threshold. 4. An Internet of Things critical care system as claimed in claim 1, further comprising: The predictive analysis module uses statistical regression and data-driven methods to establish a short-term prediction unit, and generates short-term patient physical condition forecast information based on the comprehensive analysis results obtained by the joint analysis module.