CN105232000B - epilepsy detection device and epilepsy detection method - Google Patents
epilepsy detection device and epilepsy detection method Download PDFInfo
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- CN105232000B CN105232000B CN201510718624.1A CN201510718624A CN105232000B CN 105232000 B CN105232000 B CN 105232000B CN 201510718624 A CN201510718624 A CN 201510718624A CN 105232000 B CN105232000 B CN 105232000B
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Abstract
The present invention discloses a kind of epilepsy detection device, including bracelet, three axis Wireless Acceleration Sensors are installed in bracelet, it further include processor, processor includes micro-chip processor, memory, wireless communication module, module and three axis Wireless Acceleration Sensors are wirelessly connected microprocessor by wireless communication, and solidification has epilepsy to analyze software in memory；The invention also discloses a kind of epilepsy detection methods.The present invention can have found epileptic attack in time, and can distinguish the type of epileptic attack, provide help for treatment in time.
Description
Technical field
The present invention relates to a kind of Medical Devices more particularly to a kind of epilepsy detection devices.
Background technique
Epilepsy is one of great neuropsychiatric disease, and seizure types are varied, and wherein generalized tonic-clonic breaking-out is tight
A kind of types of epilepsy for threatening human life's safety again, other than the risk increase of patient injury, or even can cause sudden death.By
In this epileptic attack with the loss of consciousness, if when morbidity not in public, be difficult to be found, and it is final he
Go to recall when hospital admission and accurate description oneself history of attack, doctor can not accurate judgement patient whether be insane
Epilepsy breaking-out.Based on the difficulty in above-mentioned Diagnosis of Epilepsy, the automatic monitoring analysis system of epilepsy should be the weight of medical field future studies
Want project.
Summary of the invention
The present invention is intended to provide a kind of epilepsy detection device and epilepsy detection method, can find epileptic attack in time, and
The type of epileptic attack can be distinguished, provides help for treatment in time.
In order to achieve the above objectives, realization that the present invention adopts the following technical solutions：
Epilepsy detection device disclosed by the invention, including bracelet are equipped with three axis radio accelerations sensing in the bracelet
Device further includes processor, and the processor includes micro-chip processor, memory, wireless communication module, and microprocessor passes through wireless
Communication module and three axis Wireless Acceleration Sensors are wirelessly connected, and solidification has epilepsy to analyze software in the memory.
Further, the processor further includes indicator light, voice module, touch screen, the indicator light, voice module,
Touch screen is all connected with micro-chip processor.Indicator light and voice module can be used for alarming；Touch screen can be used for showing and being arranged, and be not so good as
The setting of the warning message of the setting of threshold value when various comparisons, various epileptic attacks.
Preferably, the wireless communication module includes bluetooth module.
Preferably, the epilepsy analysis software package includes motion profile digitlization quantitative analysis module, motion trajectory model is built
Formwork erection block, epileptic attack judgment module, sound and light alarm module.
The invention also discloses a kind of epilepsy detection methods, include the following steps：
A, epilepsy detection bracelet is worn on to the suitable position of tested person, when tested person is in the epileptic attack phase,
Processor reads the data of three axis Wireless Acceleration Sensors in real time and is stored in memory；
B, pass through the fortune of three axis Wireless Acceleration Sensor of epilepsy analysis software epileptic's stage of attack obtained
Dynamic rail mark carries out digitlization quantitative analysis, calculates motional amplitude stage of attack, frequency, limbs distance end amplitude ratio, obtains epilepsy fortune
The quantitative information of dynamic property breaking-out；
C, the quantitative information according to obtained in b establishes epileptic attack campaign using data reconstruction method and database method of comparison
Locus model；
D, tested patients carry epilepsy detection device, the letter of three axis Wireless Acceleration Sensor of processor real-time detection transmission
Number, step b, c is repeated, tested patients' motion trajectory model is established, comparison tested patients' motion trajectory model and epileptic attack are transported
The similarity of dynamic locus model distinguishes that tested patients are pseudoseizure or the breaking-out of epilepsy generalized tonic-clonic, if it is rear
Person, sending sound and/or light alarm.
Further, the suitable position includes wrist, arm, sole, shank, thigh, and above-mentioned each position is worn
Bracelet, the processor are located in one of in bracelet.
Further, in step c, epilepsy generalized tonic-clonic breaking-out motion trajectory model curve and false hair are established
The motion trajectory model curve of work issues difference to generalized tonic-clonic breaking-out epilepsy and pseudoseizure in step d respectively
Warning message.
Preferably, in stepb, the relationship for comparing far-end of limb and proximal end movement, far-end of limb amplitude and proximal end are shaken
Width is divided by, and obtains limbs distance end amplitude ratio, when the absolute value of limbs distance end amplitude ratio is less than 3, is judged as proximal end muscle
Based on movement；When the absolute value of limbs distance end amplitude ratio is greater than 3, it is judged as based on distal muscle movement, to describe trunk
The difference degree of head movement and abdominal exercise in movement.
Further, the threshold values of the similarity in step d can be preset.
Preferably, in stepb, discrete Fourier transform is used to the analysis of frequency, amplitude is human body quadruped locomotion
Acceleration amplitude is measured by three axis Wireless Acceleration Sensors.
Epilepsy detection device and epilepsy detection method disclosed by the invention can find epileptic attack in time, and can distinguish
The type of epileptic attack provides help for treatment in time.The present invention records epilepsy hair using powerful posture recorder
The three-dimensional posture image of work, the posture model of different type epileptic attack is set up by software operation:1：Realize computer
Automatic tracing epilepsy motility breaking-out technology:2：New method is provided for epilepsy syndromes research, is had to the antidiastole of epilepsy
Significance.
Detailed description of the invention
Fig. 1 is invention's principle block diagram；
Fig. 2 is epilepsy generalized tonic-clonic breaking-out motion trajectory model curve；
Fig. 3 is the motion trajectory model curve of pseudoseizure.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing, to the present invention into
Row is further described.
As shown in Figure 1, epilepsy detection device disclosed by the invention, including bracelet, three axis are installed in bracelet and are wirelessly accelerated
Sensor is spent, further includes processor, processor includes micro-chip processor, memory, wireless communication module, and microprocessor passes through
Wireless communication module and three axis Wireless Acceleration Sensors are wirelessly connected, and wireless communication module includes bluetooth module, in memory
Solidification has epilepsy to analyze software；Processor further includes indicator light, voice module, touch screen, the indicator light, voice module, touching
It touches screen and is all connected with micro-chip processor；Epilepsy analysis software package includes motion profile digitlization quantitative analysis module, motion trajectory model
Establish module, epileptic attack judgment module, sound and light alarm module.
Epilepsy detection device may be designed to the compact devices of a likeness in form wrist-watch, have wireless triaxial acceleration transducer (to pass
Sensor), a microprocessor and a rechargeable battery.The sensor is capable of measuring wrist or any accelerated motion of ankle, regardless of
It is in X, γ or Z-direction.The data that all acceleration sensors obtain, which are stored in a microprocessor, (has data reserve function
Energy and analytic function), epilepsy automonitor is together formed with a rechargeable battery is unified, acceleration sensor also has two-way
Radio communication setting can also be connected convenient for data processing with computer, the sensor can whole day use, possess charging in every 24 hours
Primary internal battery, whole process record the motion conditions of patient's each time point, and emphasis is interparoxysmal measurement.
The invention also discloses a kind of epilepsy detection methods, include the following steps：
A, epilepsy detection bracelet is worn on the suitable position of tested person, including wrist, arm, sole, shank, big
Bracelet is worn at leg, above-mentioned each position, and processor is located in one of in bracelet, when tested person is in the epileptic attack phase,
Processor reads the data of three axis Wireless Acceleration Sensors in real time and is stored in memory；
B, pass through the fortune of three axis Wireless Acceleration Sensor of epilepsy analysis software epileptic's stage of attack obtained
Dynamic rail mark carries out digitlization quantitative analysis, calculates motional amplitude stage of attack, frequency, limbs distance end amplitude ratio, obtains epilepsy fortune
The quantitative information of dynamic property breaking-out；The relationship for comparing far-end of limb and proximal end movement, far-end of limb amplitude and proximal end amplitude are divided by,
Limbs distance end amplitude ratio is obtained, when the absolute value of limbs distance end amplitude ratio is less than 3, is judged as that proximal end muscular movement is
It is main；When the absolute value of limbs distance end amplitude ratio is greater than 3, it is judged as based on distal muscle movement, while according to wireless three axis
Value of the acceleration transducer in x, y, z directly determines the severe degree of movement；As shown in Figure 2 and Figure 3, the present invention passes through calculating
The ratio between frequency, peak swing, mean amplitude of tide, far-end of limb amplitude and proximal end amplitude (referred to as far and near ratio) index, with more different
The difference of seizure types, the characteristics of finding different seizure types.Such as generalized tonic-clonic breaking-out patient motion track have it is following
Feature：Limbs distance is greater than 3 than absolute value, prompts based on acrokinesia breaking-out moves with distal muscle.And pseudoseizure patient
Limbs distance in episode process is very bigger than span, prompts limb motion disorderly disorder, and fluctuation is big.Specific calculation method is such as
Under：
The calculating of frequency is analyzed using discrete Fourier transform, using following formula：Wherein X is the frequency response for inputting ordered series of numbers, to input number
Column, K are respective frequencies, and n is the sequence number for inputting ordered series of numbers, and bracelet directly gives the acceleration of tri- axis of xyz, can be according to these values
Know the severe degree of movement.
Moving track calculation uses segment calculation, using following formula：S=V0t+1/2at2, wherein S represents position
(Sx, Sy, Sz), t represent the areal survey time, and V0 represents initial velocity.
Amplitude is the acceleration amplitude of human body quadruped locomotion, can directly be measured by acceleration chip.
C, the quantitative information according to obtained in b establishes epileptic attack campaign using data reconstruction method and database method of comparison
Locus model establishes generalized tonic-clonic breaking-out epilepsy path curves, pseudoseizure motion trajectory model curve respectively.
D, tested patients carry epilepsy detection device, the letter of three axis Wireless Acceleration Sensor of processor real-time detection transmission
Number, step b, c is repeated, tested patients' motion trajectory model is established, comparison tested patients' motion trajectory model and epileptic attack are transported
The similarity of dynamic locus model, the threshold values of similarity can be preset, and distinguish that tested patients are pseudoseizure or epileptic attack, if
It is epileptic attack, sending sound and/or light alarm, to generalized tonic-clonic breaking-out epilepsy, frontal lobe epilepsy, temporal epilepsy breaking-out point
Different warning messages is not issued.
Specifically：1) one sensing device is respectively installed in the wrist of patient body, arm, sole, shank, thigh.2) lead to
Software analysis is crossed to carry out the motion profile of each position acceleration sensor epileptic's stage of attack obtained to digitize quantitative point
Analysis calculates motional amplitude stage of attack, frequency, limbs distance end amplitude ratio and shoulder abdomen amplitude ratio etc., obtains generalized tonic-clonic hair
Make and the quantitative information of false property breaking-out is special.It can be decided and especially be needed to find early comprehensively by force by duplicate preliminary experiment
(of the invention focuses on most easy danger for directly-clonic seizure epilepsy and the motion trajectory model of the non-epileptic attack of antidiastole
And the generalized tonic-clonic breaking-out of life security), these motion trajectory models are the essences of the watch device instrument carried based on patient
True acceleration analysis, to establish the motion trajectory model of above-mentioned seizures types.3) tested patients carry the device, lead to
It crosses automatic monitoring (processor) and the operation of motion profile, determines that patient episode is pseudoseizure or epileptic attack, if it is
Epileptic attack, and proximity sensing threshold value, will trigger alarm.Have inside processor alarm motion model and alarm sound or
The setting of indicator light variation and movement relation.
Certainly, the present invention can also have other various embodiments, without deviating from the spirit and substance of the present invention, ripe
Various corresponding changes and modifications, but these corresponding changes and modifications can be made according to the present invention by knowing those skilled in the art
All it should fall within the scope of protection of the appended claims of the present invention.
Claims (6)
- The detection device 1. a kind of epilepsy generalized tonic-clonic breaks out, it is characterised in that：Including bracelet, it is equipped in the bracelet Three axis Wireless Acceleration Sensors, further include processor, and the processor includes micro-chip processor, memory, radio communication mold Block, module and three axis Wireless Acceleration Sensors are wirelessly connected microprocessor by wireless communication, and solidifying in the memory has Epilepsy analyzes software；The epilepsy analysis software package includes motion profile digitlization quantitative analysis module, motion trajectory model is established Module, epileptic attack judgment module, sound and light alarm module；It further include data processing method below：Digitlization quantitative analysis is carried out to three axis Wireless Acceleration Sensor data, calculates motional amplitude, frequency, limbs distance end Amplitude ratio is built according to the motional amplitude, frequency, limbs distance end amplitude ratio using data reconstruction method and database method of comparison Found real-time epilepsy generalized tonic-clonic breaking-out motion trajectory model；The real-time epilepsy generalized tonic-clonic breaking-out motion trajectory model and cured epilepsy generalized tonic-clonic break out Motion trajectory model comparison, judges similarity；Motional amplitude, frequency, the limbs distance end amplitude ratio of calculating includes that the analysis to frequency uses discrete Fourier transform, Amplitude is the acceleration amplitude of human body quadruped locomotion, is measured by three axis Wireless Acceleration Sensors；The calculating of frequency is analyzed using discrete Fourier transform, using following formula：Wherein X is the frequency response for inputting ordered series of numbers, for input Ordered series of numbers, K are respective frequencies, and n is the sequence number for inputting ordered series of numbers, and bracelet directly gives the acceleration of tri- axis of xyz；Moving track calculation uses segment calculation, using following formula：S=V0t+1/2at2, wherein S represent position (Sx, Sy, Sz), t represents the areal survey time, and V0 represents initial velocity.
- The detection device 2. epilepsy generalized tonic-clonic according to claim 1 breaks out, it is characterised in that：The processor It further include indicator light, voice module, touch screen, the indicator light, voice module, touch screen are all connected with micro-chip processor.
- The detection device 3. epilepsy generalized tonic-clonic according to claim 1 breaks out, it is characterised in that：The channel radio Believe that module includes bluetooth module.
- The detection device 4. epilepsy generalized tonic-clonic according to claim 1 breaks out, it is characterised in that：Three axis without The data of linear acceleration transducer include the data of wrist, arm, ankle, shank, thigh, and the processor is located in bracelet.
- The detection device 5. epilepsy generalized tonic-clonic according to claim 1 breaks out, it is characterised in that：The calculating fortune Dynamic amplitude, frequency, limbs distance end amplitude ratio include comparing the relationship of far-end of limb and proximal end movement, by far-end of limb amplitude with Proximal end amplitude is divided by, and obtains limbs distance end amplitude ratio, when the absolute value of limbs distance end amplitude ratio is less than 3, is judged as close It holds based on muscular movement；When the absolute value of limbs distance end amplitude ratio is greater than 3, it is judged as based on distal muscle movement.
- The detection device 6. epilepsy generalized tonic-clonic according to claim 1 breaks out, it is characterised in that：The similarity Threshold values can preset.
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| CN107451385B (en) * | 2016-05-30 | 2021-04-27 | 中国科学院软件研究所 | Nervous system disease monitoring and early warning system based on articles for daily use |
| CN107049552B (en) * | 2017-04-20 | 2018-09-07 | 贵州省人民医院 | A kind of experimental provision for manufacturing Chronic Epilepsy animal model |
| CN109330569B (en) * | 2018-11-27 | 2021-10-22 | 成都优途科技有限公司 | Arteriovenous internal fistula thrombus early warning device and control method thereof |
| CN111643092A (en) * | 2020-06-02 | 2020-09-11 | 四川大学华西医院 | Epilepsia alarm device and epilepsia detection method |
| CN114468986A (en) * | 2020-11-13 | 2022-05-13 | 浙江大学台州研究院 | Wearable device based on artificial intelligence multimode epileptic seizure monitoring |
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Effective date of registration: 20230327 Address after: 646100 Pharmaceutical Industrial Park, national high tech Zone, Luzhou City, Sichuan Province Patentee after: SICHUAN CREDIT PHARMACEUTICAL Co.,Ltd. Address before: No. 37, Wuhou District National School Lane, Chengdu, Sichuan Province Patentee before: WEST CHINA HOSPITAL, SICHUAN University |