CN105046111B - A kind of Amplitude integrated electroencephalogram result automatic recognition system - Google Patents
A kind of Amplitude integrated electroencephalogram result automatic recognition system Download PDFInfo
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- 238000000034 method Methods 0.000 claims abstract description 10
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- 208000011580 syndromic disease Diseases 0.000 claims description 25
- 206010070511 Hypoxic-ischaemic encephalopathy Diseases 0.000 claims description 23
- 206010021750 Infantile Spasms Diseases 0.000 claims description 22
- 201000006791 West syndrome Diseases 0.000 claims description 22
- 208000037212 Neonatal hypoxic and ischemic brain injury Diseases 0.000 claims description 16
- 208000009973 brain hypoxia - ischemia Diseases 0.000 claims description 16
- 208000033300 perinatal asphyxia Diseases 0.000 claims description 16
- 201000006474 Brain Ischemia Diseases 0.000 claims description 7
- 206010021143 Hypoxia Diseases 0.000 claims description 7
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- 208000018152 Cerebral disease Diseases 0.000 description 2
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Abstract
The invention discloses a kind of Amplitude integrated electroencephalogram result automatic recognition system and methods；Including custom block for defining existing typical disease, data memory module is for storing corresponding disease data, the electroencephalogram data input that input module is used to diagnose, data acquisition module is used to obtain the data of input module input, analyses and comparison module is for diagnosing the data of patient, it is diagnosed to be matching for patient's Amplitude integrated electroencephalogram and which kind of disease, if all mismatched with all databases, so diagnosis report of output waveform exception, and result is conveyed to output unit.It can voluntarily identify Amplitude integrated electroencephalogram and provide diagnostic result, reduce the task of clinician, improve diagnosis and treatment efficiency.
Description
Technical field
The present invention relates to a kind of Amplitude integrated electroencephalogram result automatic recognition systems.
Background technology
The other Amplitude integrated electroencephalogram (writing a Chinese character in simplified form aEEG) of bed is the continuous recording reduced form of electroencephalogram, indicates function of brain cell
The output of monitoring is as a result, at present in clinical position, the situation for reflecting brain function has been increasingly becoming neural electrophysiology
The focus of attention, while as the doctors such as vast neonate department, Neurology being used to assess the objective mark of function of brain cell situation
It is accurate.Compared with Routine Eeg (EEG), early diagnosis and Index for diagnosis sensibility higher of the aEEG for cerebral injury, while nothing
Wound, direct, sensitive, easy to operate, amplitude is high, can non-volatile recording, graph direct, bedside operate do not delay children with serious disease rescue
It treats, be not easy by biology or abiotic artifacts, be more convenient for clinical application and analysis.
Since the record time is long, waveform is more, therefore time-consuming for result reading, this work at present is completed by clinician,
While busy clinical position, it is necessary to which the physician of patient is submitted in overtime work after reading result, this is apparent to aggravate
The burden of its work has carved up time and time of having a rest that he can observe the infant state of an illness, has been highly detrimental to the work of clinician
Make.
Invention content
The purpose of the present invention is exactly to solve the above-mentioned problems, to provide a kind of Amplitude integrated electroencephalogram result automatic identification system
System, it can voluntarily identify Amplitude integrated electroencephalogram and provide diagnostic result, reduce the task of clinician, improve
Diagnosis and treatment efficiency.
To achieve the goals above, the present invention adopts the following technical scheme that：
A kind of Amplitude integrated electroencephalogram result automatic recognition system, including：
Custom block integrates the up-and-down boundary value of electroencephalogram waveform for self-defined input normal amplitude, and typical
The Amplitude integrated electroencephalogram oscillogram of patient；
Data memory module, including normal boundary database, neonatal seizure waveform database, neonatal hypoxic-ischemic
Encephalopathy database, infantile spasms database and big rural area syndrome database, these databases are for analyses and comparison module tune
With；Normal boundary database is used to store the up-and-down boundary value of the normal amplitude integration electroencephalogram waveform of custom block input；
Input module, the Amplitude integrated electroencephalogram waveform for inputting patient；
Data acquisition module, the Amplitude integrated electroencephalogram waveform of the patient for receiving input, and it is conveyed to analyses and comparison
Module；
Analyses and comparison module, first extract patient Amplitude integrated electroencephalogram waveform up-and-down boundary and with normal boundary number
It is compared according to the boundary in library, normal diagnosis report is generated if without departing from the boundary value；If exceeding the boundary value
Other databases in then being stored with data memory module are identified one by one, are diagnosed to be patient's Amplitude integrated electroencephalogram and which kind of
Disease matches, if all mismatched with all databases, the diagnosis report of output waveform exception, and by result
It is conveyed to output unit；
Output unit, diagnostic result for receiving analyses and comparison module and by showing that equipment is shown.
The Wave anomaly includes due to different caused by intensive care unit wave interference, electrode delamination or malposition of electrode factor
Ordinary wave shape, and remove neonatal seizure, hypoxic ischemic encephalopathy of newborn, infantile spasms and big these diseases of rural area syndrome
Outer Amplitude integrated electroencephalogram.
The input module includes scanner and self-defined input module, and the amplitude that the scanner is used to scan patient is whole
Scanning result is conveyed to analyses and comparison module, the self-defined input mould by syncerebrum electrograph oscillogram by data memory module
Block is inputted the characteristic of the Amplitude integrated electroencephalogram oscillogram of patient by doctor, and is conveyed to also by data memory module
Analyses and comparison module.
The analyses and comparison module, to neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn database, baby
All oscillograms carry out two-stage one-dimensional wavelet transform respectively in youngster's spasm disease database and big rural area syndrome database, drop
The resolution ratio of Image Sub-Band after low decomposition obtains the characteristic value of image using PCA methods；
Using the characteristic value of acquisition as the input layer of limited Boltzmann machine, using neonatal seizure waveform database, newly
Raw youngster's hypoxie-ischemic encephalopathy database, infantile spasms database, big rural area syndrome database and unusual waveforms data
Multiple oscillograms in library are trained limited Boltzmann machine, neonatal seizure waveform feature data after being trained,
Hypoxic ischemic encephalopathy of newborn characteristic, infantile spasms characteristic, big rural area syndrome characteristic and exception
Waveform feature data；
For the Amplitude integrated electroencephalogram waveform of the patient for the up-and-down boundary value for integrating electroencephalogram waveform beyond normal amplitude
Figure input-bound Boltzmann machine is tested to obtain test result, the Amplitude integrated electroencephalogram that cannot be identified is diagnosed as different
Ordinary wave shape.
A kind of Amplitude integrated electroencephalogram result automatic identifying method, including：
Self-defined input normal amplitude integrates the up-and-down boundary value of electroencephalogram waveform and the amplitude-integrated brain of typical patient
Electrograph oscillogram；
By data or waveform, storage is lacked to normal boundary database, neonatal seizure waveform database, newborn accordingly
Oxygen ischemic cerebral disease database, infantile spasms database and big rural area syndrome database, these databases are in next step
Analysis call；The up-and-down boundary value that the normal amplitude of self-defined input integrates electroencephalogram waveform is stored to normal boundary data
Library；
Input the Amplitude integrated electroencephalogram waveform of patient；
Receive the Amplitude integrated electroencephalogram waveform of the patient of input；
First extraction patient Amplitude integrated electroencephalogram waveform up-and-down boundary and with the boundary in normal boundary database
It is compared, normal diagnosis report is generated if without departing from the boundary value；If beyond if the boundary value with other data
Library identified one by one, matching for patient's Amplitude integrated electroencephalogram and which kind of disease is diagnosed to be, if with all databases
All mismatch, then the diagnosis report of output waveform exception, and diagnosis report is exported；
Receive diagnosis report and by showing that equipment is shown.
It is carried out one by one with other databases when the up-and-down boundary of the Amplitude integrated electroencephalogram waveform of patient exceeds the boundary value
Knowing method for distinguishing is：To neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn database, infantile spasms data
All oscillograms carry out two-stage one-dimensional wavelet transform respectively in library and big rural area syndrome database, reduce image after decomposing
The resolution ratio of subband obtains the characteristic value of image using PCA methods；
Using the characteristic value of acquisition as the input layer of limited Boltzmann machine, using neonatal seizure waveform database, newly
Raw youngster's hypoxie-ischemic encephalopathy database, infantile spasms database, big rural area syndrome database and unusual waveforms data
Multiple oscillograms in library are trained limited Boltzmann machine, neonatal seizure waveform feature data after being trained,
Hypoxic ischemic encephalopathy of newborn characteristic, infantile spasms characteristic, big rural area syndrome characteristic and exception
Waveform feature data；
For the Amplitude integrated electroencephalogram waveform of the patient for the up-and-down boundary value for integrating electroencephalogram waveform beyond normal amplitude
Figure input-bound Boltzmann machine is tested to obtain test result, the Amplitude integrated electroencephalogram that cannot be identified is diagnosed as different
Ordinary wave shape.
Beneficial effects of the present invention：
Patient report can be automatically analyzed and printed immediately after Amplitude integrated electroencephalogram by bed is finished, can solve in this way
Doctor is put, the labour for saving out can go outpatient service or emergency treatment to see patient, be protruded instead to solve the masses to a certain extent
The contradiction about 3 minutes consultation times reflected, doctor is more, and the patient that each doctor sees can be relatively smaller, then each
Patient will obtain relatively longer Waiting time, and the satisfaction of patient can be obtained a degree of promotion, finally alleviate doctors and patients
Contradiction will reduce the occurrence frequency for hindering the severe event that doctor kills doctor for a long time.
The Amplitude integrated electroencephalogram of common encephalopathy is trained by limited Boltzmann machine, hereby using limited Bohr
Graceful machine carries out test identifying and diagnosing to the Amplitude integrated electroencephalogram of patient and goes out common disease, it is impossible to the amplitude-integrated brain electricity of identification
Figure is diagnosed as unusual waveforms, and doctor only to these unusual waveforms carefully read, and greatly reduces the task amount of doctor.
Description of the drawings
Fig. 1 is the structural diagram of the present invention.
Specific implementation mode
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of Amplitude integrated electroencephalogram result automatic recognition system, including：
Custom block integrates the up-and-down boundary value of electroencephalogram waveform for self-defined input normal amplitude, and typical
The Amplitude integrated electroencephalogram oscillogram of patient；The Amplitude integrated electroencephalogram oscillogram of typical patient can also be by scanner by allusion quotation
The oscillogram of type inputs；
Data memory module, including normal boundary database, neonatal seizure waveform database, neonatal hypoxic-ischemic
Encephalopathy database, infantile spasms database and big rural area syndrome database, these databases are for analyses and comparison module tune
With；Normal boundary database is used to store the up-and-down boundary value of the normal amplitude integration electroencephalogram waveform of custom block input；
Input module, the Amplitude integrated electroencephalogram waveform for inputting patient；
Data acquisition module, the Amplitude integrated electroencephalogram waveform of the patient for receiving input, and it is conveyed to analyses and comparison
Module；
Analyses and comparison module, first extract patient Amplitude integrated electroencephalogram waveform up-and-down boundary and with normal boundary number
It is compared according to the boundary in library, normal diagnosis report is generated if without departing from the boundary value；If exceeding the boundary value
Other databases in then being stored with data memory module are identified one by one, are diagnosed to be patient's Amplitude integrated electroencephalogram and which kind of
Disease matches, if all mismatched with all databases, the diagnosis report of output waveform exception, and by result
It is conveyed to output unit；
Output unit, diagnostic result for receiving analyses and comparison module and by showing that equipment is shown.
The Wave anomaly includes since the serious wave interference in intensive care unit, electrode delamination or malposition of electrode factor cause
Unusual waveforms, and except neonatal seizure, hypoxic ischemic encephalopathy of newborn, infantile spasms and big rural area syndrome these
Amplitude integrated electroencephalogram outside disease.
The input module includes scanner and self-defined input module, and the amplitude that the scanner is used to scan patient is whole
Scanning result is conveyed to analyses and comparison module, the self-defined input mould by syncerebrum electrograph oscillogram by data memory module
Block is inputted the characteristic of the Amplitude integrated electroencephalogram oscillogram of patient by doctor, and is conveyed to also by data memory module
Analyses and comparison module.
The analyses and comparison module, to neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn database, baby
All oscillograms carry out two-stage one-dimensional wavelet transform respectively in youngster's spasm disease database and big rural area syndrome database, drop
The resolution ratio of Image Sub-Band after low decomposition obtains the characteristic value of image using PCA methods；
Using the characteristic value of acquisition as the input layer of limited Boltzmann machine, using neonatal seizure waveform database, newly
Raw youngster's hypoxie-ischemic encephalopathy database, infantile spasms database, big rural area syndrome database and unusual waveforms data
Multiple oscillograms in library are trained limited Boltzmann machine, neonatal seizure waveform feature data after being trained,
Hypoxic ischemic encephalopathy of newborn characteristic, infantile spasms characteristic, big rural area syndrome characteristic and exception
Waveform feature data；
For the Amplitude integrated electroencephalogram waveform of the patient for the up-and-down boundary value for integrating electroencephalogram waveform beyond normal amplitude
Figure input-bound Boltzmann machine is tested to obtain test result, which includes being diagnosed as neonatal seizure, new life
Youngster's hypoxie-ischemic encephalopathy, infantile spasms or big rural area syndrome, are diagnosed as the Amplitude integrated electroencephalogram that cannot be identified
Unusual waveforms.
The result being diagnosed to be all shown by display equipment, and doctor can be with for unusual waveforms after seeing diagnostic result
Analyzed in more detail, and for be diagnosed as neonatal seizure, hypoxic ischemic encephalopathy of newborn, infantile spasms or
Big rural area syndrome can check the whether correct of diagnosis again.
A kind of Amplitude integrated electroencephalogram result automatic identifying method, including：
Self-defined input normal amplitude integrates the up-and-down boundary value of electroencephalogram waveform and the amplitude-integrated brain of typical patient
Electrograph oscillogram；
By data or waveform, storage is lacked to normal boundary database, neonatal seizure waveform database, newborn accordingly
Oxygen ischemic cerebral disease database, infantile spasms database and big rural area syndrome database, these databases are in next step
Analysis call；The up-and-down boundary value that the normal amplitude of self-defined input integrates electroencephalogram waveform is stored to normal boundary data
Library；
Input the Amplitude integrated electroencephalogram waveform of patient；
Receive the Amplitude integrated electroencephalogram waveform of the patient of input；
First extraction patient Amplitude integrated electroencephalogram waveform up-and-down boundary and with the boundary in normal boundary database
It is compared, normal diagnosis report is generated if without departing from the boundary value；If beyond if the boundary value with other data
Library identified one by one, matching for patient's Amplitude integrated electroencephalogram and which kind of disease is diagnosed to be, if with all databases
All mismatch, then the diagnosis report of output waveform exception, and diagnosis report is exported；
Receive diagnosis report and by showing that equipment is shown.
It is carried out one by one with other databases when the up-and-down boundary of the Amplitude integrated electroencephalogram waveform of patient exceeds the boundary value
Knowing method for distinguishing is：To neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn database, infantile spasms data
All oscillograms carry out two-stage one-dimensional wavelet transform respectively in library and big rural area syndrome database, reduce image after decomposing
The resolution ratio of subband obtains the characteristic value of image using PCA methods；
Using the characteristic value of acquisition as the input layer of limited Boltzmann machine, using neonatal seizure waveform database, newly
Raw youngster's hypoxie-ischemic encephalopathy database, infantile spasms database, big rural area syndrome database and unusual waveforms data
Multiple oscillograms in library are trained limited Boltzmann machine, neonatal seizure waveform feature data after being trained,
Hypoxic ischemic encephalopathy of newborn characteristic, infantile spasms characteristic, big rural area syndrome characteristic and exception
Waveform feature data；
For the Amplitude integrated electroencephalogram waveform of the patient for the up-and-down boundary value for integrating electroencephalogram waveform beyond normal amplitude
Figure input-bound Boltzmann machine is tested to obtain test result, the Amplitude integrated electroencephalogram that cannot be identified is diagnosed as different
Ordinary wave shape.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (2)
1. a kind of Amplitude integrated electroencephalogram result automatic recognition system, characterized in that including：
Custom block integrates the up-and-down boundary value and typical patient of electroencephalogram waveform for self-defined input normal amplitude
Amplitude integrated electroencephalogram oscillogram；
Data memory module, including normal boundary database, neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn
Database, infantile spasms database and big rural area syndrome database, these databases are called for analyses and comparison module；Just
Normal data boundary library is used to store the up-and-down boundary value of the normal amplitude integration electroencephalogram waveform of custom block input；
Input module, the Amplitude integrated electroencephalogram waveform for inputting patient；
Data acquisition module, the Amplitude integrated electroencephalogram waveform of the patient for receiving input, and it is conveyed to analyses and comparison module；
Analyses and comparison module, first extract patient Amplitude integrated electroencephalogram waveform up-and-down boundary and with normal boundary database
In boundary be compared, normal diagnosis report is generated if without departing from the boundary value；If beyond if the boundary value with
Other databases in data memory module storage are identified one by one, are diagnosed to be patient's Amplitude integrated electroencephalogram and which kind of disease
Match, if all mismatched with all databases, the diagnosis report of output waveform exception, and result is conveyed
To output unit；
Output unit, diagnostic result for receiving analyses and comparison module and by showing that equipment is shown；
The Wave anomaly includes due to extraordinary wave caused by intensive care unit wave interference, electrode delamination or malposition of electrode factor
Shape, and in addition to neonatal seizure, hypoxic ischemic encephalopathy of newborn, infantile spasms and big these diseases of rural area syndrome
Amplitude integrated electroencephalogram；
The analyses and comparison module, to neonatal seizure waveform database, hypoxic ischemic encephalopathy of newborn database, baby's convulsion
All oscillograms carry out two-stage one-dimensional wavelet transform respectively in contraction disease database and big rural area syndrome database, reduce and divide
The resolution ratio of Image Sub-Band after solution obtains the characteristic value of image using PCA methods；
Using the characteristic value of acquisition as the input layer of limited Boltzmann machine, neonatal seizure waveform database, newborn are utilized
In hypoxie-ischemic encephalopathy database, infantile spasms database, big rural area syndrome database and unusual waveforms database
Multiple oscillograms limited Boltzmann machine is trained, the neonatal seizure waveform feature data after being trained, new life
Youngster's hypoxie-ischemic encephalopathy characteristic, infantile spasms characteristic, big rural area syndrome characteristic and unusual waveforms
Characteristic；
It is defeated for the Amplitude integrated electroencephalogram oscillogram of the patient for the up-and-down boundary value for integrating electroencephalogram waveform beyond normal amplitude
Enter limited Boltzmann machine to be tested to obtain test result, extraordinary wave is diagnosed as the Amplitude integrated electroencephalogram that cannot be identified
Shape.
2. a kind of Amplitude integrated electroencephalogram result automatic recognition system as described in claim 1, characterized in that the input module
Including scanner and self-defined input module, the scanner is used to scan the Amplitude integrated electroencephalogram oscillogram of patient, will sweep
It retouches result and analyses and comparison module is conveyed to by data memory module, the self-defined input module is by doctor by the amplitude of patient
The characteristic input of electroencephalogram oscillogram is integrated, and analyses and comparison module is conveyed to also by data memory module.
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| IL294038A (en) * | 2015-12-04 | 2022-08-01 | Univ Iowa Res Found | Apparatus, systems and methods for predicting, screening and monitoring of encephalopathy / delirium |
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| CN109009102B (en) * | 2018-08-10 | 2021-02-12 | 中南大学 | Electroencephalogram deep learning-based auxiliary diagnosis method and system |
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| CN113436728B (en) * | 2021-07-05 | 2022-10-28 | 复旦大学附属儿科医院 | Method and equipment for automatically analyzing electroencephalogram of clinical video of neonate |
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