CN107273677A - A kind of multi-channel nerve function quantitative evaluation system - Google Patents
A kind of multi-channel nerve function quantitative evaluation system Download PDFInfo
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Abstract
The invention discloses a kind of multi-channel nerve function quantitative evaluation system, utilize Intellisense, Multichannel fusion, the key technologies such as natural interaction, use depth camera, handheld terminal, hand-written terminal, microphone, headend, the equipment such as mobile workstation build a set of human motion attitude data acquisition system of completion, it will perceive, motion, cognitive medical detecting method is combined with multi-channel data convergence analysis technology, style of brushwork analysis is covered in foundation, gait analysis, speech analysis, the multi-channel nerve function quantitative evaluation system of the nervous system disease abnormal behaviour early detections such as upper extremity function analysis, traditional the nervous system disease detection instrument mode is overcome to be difficult to obtain more comprehensive, the problem of physiological parameter of quantification, and eliminate the influence of interference that traditional acquisition mode has to the authenticity of perception data and the accuracy of follow-up diagnosis.
Description
Technical field
The invention belongs to computer application and medical rehabilitation field, and in particular to a kind of multi-channel nerve function quantitative is evaluated
System.
Background technology
Human society has entered into aging society, and the chronic disease of harm elderly population turns into the important disease for threatening human health
Disease.Wherein, cerebrovascular disease, dementia, the Parkinson's of influence nervous function are in rising trend in the worldwide incidence of disease,
The characteristics of with high mortality, high disability rate, patient's life-span and quality of life are had a strong impact on, bring heavy negative to society and family
Load.
The diagnosis process of these diseases need to generally undergo clinical data collection, doctor and be judged according to knowledge and experience, finally
Form the process of diagnosis.Therefore, nervous function and structure volume data evaluation, collect be diagnosis of nervous system diseases and
The foundation stone of research.
Nervous system includes perception, cognitive and three partial functions of motion, due to the functional localization feature of nervous system, to upper
Stating the evaluation of three partial functions most can directly judge whether nervous system is undermined damaged part.For a long time, various bodies
Sense, motor function evaluation method and cognitive function assessment method are widely used in clinic, can itemize and evaluate vision, the sense of hearing, touch
The many nervous functions of feel, memory, notice, operation perform function, muscular strength, Muscle tensility, mutual aid, balance etc..
Neurosurgeon and the nervous system disease researcher carry out routine work using above-mentioned evaluation method.It is clear that
These evaluation methods place one's entire reliance upon the experience of estimator, qualitative subjective evaluation are carried out to nervous function, although part evaluation side
Method has hierarchical concept, but this classification is not undoubtedly the quantitative data of equivalent difference.Its deficiency mainly has the following aspects：①
Estimator's subjective judgement determines evaluation result；2. non-quantitation data；3. dependent on scene evaluation and test, information-based, digitized degree is low,
Whole data storage and recovering and analysis can not be carried out to detection key element.
Therefore, because the complexity of nervous system structures and function, it is existing volume data evaluate collection mode have according to
The characteristics of relying subjective experience to judge, can not quantify and lack globality, clinical diagnosis and clinical research to the nervous system disease
Bring great uncertainty.
The content of the invention
In view of the above-mentioned problems, the invention provides a kind of multi-channel nerve function quantitative evaluation system, using Intellisense,
The key technologies such as Multichannel fusion, natural interaction, are turned using depth camera, handheld terminal, hand-written terminal, microphone, data
Hair device, the equipment such as mobile workstation build a set of human motion attitude data acquisition system of completion, by perceiving, motion, cognitive
Medical detecting method is combined with multi-channel data convergence analysis technology, and style of brushwork analysis, gait analysis, voice point are covered in foundation
The multi-channel nerve function quantitative evaluation system of the nervous system disease abnormal behaviour early detections such as analysis, upper extremity function analysis.
To achieve these goals, the present invention uses following technical scheme：
A kind of multi-channel nerve function quantitative evaluation system, including：Body gait and attitude data collection analysis module, hand
Portion's motor function collection apparatus module, phonetic feature acquisition module and multi-channel data convergence analysis module；
Body gait and attitude data the collection analysis module is used to gather gait during human body walking under nature
And body posture data and analyze the corresponding characteristic of acquisition；
The hand movement function collection apparatus module is used to gather related to the nervous system disease when touch-control and writing
Hand movement function characteristic；
The phonetic feature acquisition module is used to gather in every-day language and medical science detection process and the nervous system disease phase
The voice feature data of pass；
The multi-channel data convergence analysis module is used for the body gait and attitude data collection analysis module, hand
The characteristic that portion's motor function collection apparatus module and phonetic feature acquisition module are obtained is merged, and with specific nerveous system
Disease of uniting is associated, and the nervous system disease quantitative evalution model parameter is obtained, for nervous function quantitative assessment.
Further, body gait and attitude data the collection analysis module includes being laid in data acquisition space
Single or multiple depth cameras, the gait and body posture data that the depth camera is collected include color flow image,
Depth image stream, infrared image stream, audio data stream and skeletal joint point attitude data stream, the feature obtained through the module analysis
Data include the attitude parameters such as speed, acceleration, track, angle, duration, cycle, step height, leg speed, step pitch.
Further, body gait and attitude data the collection analysis module also includes data readback mark submodule,
For by medical science related personnel, to needing the feature of progress manual oversight analysis, (such as finger to mediate parameter, parameter of quickly rotating
Deng) manually marked.
Further, the hand movement function collection apparatus module includes handheld terminal and hand-written terminal, described hand-held
Terminal is used to, by monitoring using the interactive action during handheld terminal, gather and god by the sensor of handheld terminal in itself
Through the related hand movement function characteristic (including sound, touch-control pressure, touch-control area, hand tremble) of systemic disease, institute
State hand-written terminal and be used to gathering hand movement function characteristic related to the nervous system disease during handwriting input and (including press
Power, track, posture inclination angle).
Further, the handheld terminal also includes wireless control terminal module, for remotely being grasped to whole system
Control.
Further, the wireless control terminal module includes again：Data Enter submodule, for the letter to gathered person
Breath (predominantly gathered person No. ID) is scanned typing；Scale score typing submodule, the scale for typing gathered person
Score (handedness, dysarthria etc.)；The timing submodule of inspection project, (starts the time, stops for record check object time
Only time, duration)；Remote control submodule, for the process of data acquisition is carried out remote control (startup of data acquisition,
Pause, stopping, gathered person's information, the running status of acquisition system record).
Further, the phonetic feature acquisition module be used for by microphone gather every-day language during and medical science inspection
Speech data during survey, including sustained vowel pronunciation (for example " ah ... ") or continuous statement pronunciation (a word or one section
Words), obtain the phonetic feature related to the nervous system disease.
Further, the substantial amounts of normal non-patient groups of the multi-channel data convergence analysis module collection and nervous system
The motor function of Disease checks data, and calculates the characteristic ginseng value of its motor behavior, herein on basis, by above-mentioned spy
Levy parameter value and carry out data relation analysis with specific the nervous system disease, among the normally characteristic parameter of non-patient groups really
Determine nervous function range of normal value, and be analyzed with the characteristic parameter of corresponding patient with nervous system disease, obtain with
The model parameter of the associated quantitative neurologic score of the nervous system disease, so that for nervous function quantitative assessment.
Beneficial effects of the present invention are as follows：
Feature level of the present invention based on the offer of multichannel physiology interactive knowledge base, intergrade, the convergence analysis number of semantic class
According to fusion diagnosis of nervous system diseases rule and the hybrid classification model of statistical inference model construct determining for the nervous system disease
Measure prediction, examination, diagnostic model.Medical detecting method is combined with Intellisense, Multichannel fusion, natural interaction, perceived
With understand user's line, gait, voice, upper extremity function analysis etc. key feature, under the guidance of neurologic score method, knot
The specific data of nervous system related disorder are closed, the corresponding key feature of analysis mining symptom writes data analysis algorithm, finally
Set up multi-channel nerve function quantitative evaluation system.
Glitch-free medical science movement posture data acquisition is carried out to gathered person, passed using vision, tactile and writing pencil etc.
Sensor, adopts the related medical data of its nervous system disease under walking naturally, touch control operation, writing state, so as to overcome
Behavioural characteristic under the conditions of behavioural characteristic that traditional body-worn medical sensors are gathered and normal life is not quite identical
Problem, and eliminate the shadow due to the interference that acquisition mode has to the authenticity of perception data and the accuracy of follow-up diagnosis
Ring.
Quantification gathers the medical features data of a variety of passages, including upper limbs, lower limb, sitting posture, writing, touch-control, voice etc.
The data parameters of motor behavior, the isomery of convergence analysis multiple modalities perceives the mapping pass for adopting data and specific the nervous system disease
System, overcomes traditional the nervous system disease detection instrument mode and is difficult to obtain asking for the more comprehensive, physiological parameter of quantification
Topic.
Brief description of the drawings
Fig. 1：The Technical Architecture figure of multi-channel nerve function quantitative evaluation system of the present invention.
Fig. 2：The Technical Architecture figure of present invention collection body gait and body posture data.
Fig. 3：The present invention realizes the flow chart that multi-channel nerve function quantitative is evaluated.
Fig. 4：The depth illustrated example that depth camera of the present invention is collected.
Embodiment
Multi-channel nerve function quantitative evaluation system is as shown in figure 1, mainly include：
1) depth camera：Gather the real-time color figure of human body gait when walking and body posture under nature,
Depth map data stream, it can be connected with data acquisition substation, by data acquisition substation by the data storage collected in data
In collection substation or the local storage being connected with data acquisition substation.Time is carried out by headend and mobile workstation
It is synchronous, the status information in transmission gatherer process, and monitored by mobile workstation.When the depth camera for being laid in detection zone
When machine is two, the Technical Architecture figure of its gathered data as shown in Fig. 2 two depth cameras respectively different angle acquisitions from
Real-time color figure, depth map data stream, infrared image stream, the sound of human body gait when walking and body posture under right state
Data flow, wherein, the target bone data tracing that infrared image stream is used under extreme condition, during specific implementation：By allowing target
Patient obtains high luminance pixels in infrared image and is used in video scene and complicated extreme feelings with 3M reflex reflection band marks
The tracking of intended patient is completed under condition, audio data stream is then controlled for the remote speech of medical personnel.Meanwhile, the two depth
Video camera is connected with two data acquisition substations respectively, by data acquisition substation by the data storage collected in data acquisition
In substation or the local storage being connected with data acquisition substation.Time is carried out by headend and mobile workstation same
Status information in step, transmission gatherer process, and monitored by mobile workstation.
2) handheld terminal：Comprising two kinds of functions, one kind is used as collecting device, used by gathered person, carries out touch-control friendship
Mutually, user's upper limbs hand exercise data under acquisition tasks state, including it is double refer to alternately button, dialing and setting-out action when
Between, contact, contact area, track, the spatial attitude of equipment etc..During gathered data, gathered person is required by finger
Carry out including double data collection steps for referring to the AD HOC such as alternately button, dialing, the lines for drawing AD HOC, the number of collection
Preserved according to locally；It is another to be used as system wireless control terminal, and used by system manager, by wirelessly with shifting
Dynamic work station is communicated and controls mobile workstation, and remote control can be carried out to whole data collecting system, including collected
The scanning record (being mainly gathered person No. ID) of person's information, scale score typing (handedness, dysarthria etc.), inspection project
Timing (start time, dwell time, duration), the process of servers' data collection remote control (startup of data acquisition,
Pause, stop, gathered person's information, the running status of acquisition system record) etc. function.
3) hand-written terminal：Gather hand exercise characteristic during handwriting input.Including pressure, track, posture inclination angle etc.,
And it is stored in the data acquisition substation being attached thereto.
4) microphone：Speech data during collection every-day language and in medical science detection process, including sustained vowel hair
Sound (for example " ah ... ") or continuous statement pronunciation (in short or one section of word), obtain the voice related to the nervous system disease
Feature is (for example：Vocal fold shakes the cycle, is mingled with noise, vocal organs vibrating state etc.), carry out the nervous system disease evaluation.
5) headend：By wired or wireless each collecting device of structure and the communication network of mobile workstation, enter
Order and the forwardings of information such as the order of row time synchronized, collection start stop command, working condition.Due to the view data fluxion of collection
It is larger according to measuring, so the data transfer for data and the handheld terminal collection that depth camera is collected, storing to being locally stored
In equipment.
6) mobile workstation：The core control equipment of whole data collecting system, with the wired or wireless company of headend
Connect.Time synchronized is carried out to whole data collecting system, key message is synchronous.Monitor and record the fortune of whole data collecting system
Row state.Transmittable instruction is to specific data acquisition substation, so that control data gatherer process is controlled.Reception has data
The gathered data stream that substation is uploaded is gathered, and dump is into local storage.
7) data acquisition substation：It can be connected with depth camera or hand-written terminal, carry out data acquisition, and will collection
To data storage in the local storage of itself or connection.By carrying out wired or wireless connection, structure with headend
The communication network with mobile workstation is built, time synchronized, key message is carried out and uploads, and monitored by mobile workstation.
The present invention realizes the flow of multi-channel nerve function quantitative evaluation as shown in figure 3, mainly including：
According to nervous system motor function check process in medical domain, the multi-modal exercise data acquisition of non-interference is carried out,
Include the collection of gathered person's medical data related to the nervous system disease under walking naturally, touch control operation, writing state.
Wherein, the collection of medical data related to the nervous system disease under natural walking states includes, and quickly rotates, seat
Chair stands up, 3 meters of walkings etc., using depth camera gather the coloured image of the gait of human body and body posture in checking process,
Depth image (as shown in Figure 4) data.Real-time color figure, the depth map data stream in the data collected are analyzed, so as to build
Go out human body three-dimensional cloud data when walking；Build herein on human body three-dimensional cloud data basis, extract the bone of human motion
Bone joint motions data flow, so that calculate includes the attitude parameter data such as speed, cycle, step height, leg speed step pitch accordingly.It is right
Need to carry out the feature of manual oversight analysis in part, such as finger mediates parameter, quick parameter of rotating, it is necessary to by using being
The playback marking Function of system, is manually marked by medical science skilled addressee.
The collection of the medical data related to the nervous system disease is to utilize handheld terminal under touch control operation state, such as mobile phone
Exploitation is for the Function detection application of the nervous system disease, and such as lines draw unblock, dialing, by monitoring in daily mobile phone use
Interactive action, use the sensor of mobile phone in itself, collection sound (call voice or the application of medical science speech detection), touch-control pressure
The hand movement function characteristic for the nervous system disease correlation that power, touch-control area, hand tremble.
The collection of the medical data related to the nervous system disease is then to carry out cognition using hand-written terminal under writing state
Check (including MMSE, MOCA etc.), the hand exercise characteristic in collection writing process, including pressure, track, posture inclination angle
Etc. master data, analysis, which is extracted, includes the characteristics such as deadline, errors number, average degree of crook.
By applying the multi-channel nerve function quantitative evaluation system, normal non-patient groups and the nervous system disease are carried out
The style of brushwork of patient, gait, voice, upper extremity function inspection, gather corresponding medical examination data, and calculate the spy of its motor behavior
Parameter value is levied, herein on basis, features described above parameter value and specific the nervous system disease progress pathological data are associated point
Analysis, by being monitored to the long-term follow for being normally not suffering from patient group, the distributed area based on the normally characteristic ginseng value of non-patient groups
Between define nervous function range of normal value, be analyzed with the characteristic parameter of corresponding patient, and examine with reference to doctor
Disconnected conclusion is carried out after data scaling and checking, just can obtain the model parameter of the quantitative neurologic score associated with disease,
So as to for the prediction of specific the nervous system disease, examination and auxiliary diagnosis application of function.
When being detected afterwards to any detected person, it is only necessary to the check item of these characteristic parameters is carried out by the system
Mesh, gathers to quantification relevant parameter numerical value, and input model is compared, and just can obtain the quantitative assessment result of nervous function, from
And provide the possibility suggestion of illness.
Claims (10)
1. a kind of multi-channel nerve function quantitative evaluation system, including：Body gait and attitude data collection analysis module, hand
Motor function collection apparatus module, phonetic feature acquisition module and multi-channel data convergence analysis module；
Body gait and attitude data the collection analysis module is for gathering gait and body during human body walking under nature
Body attitude data simultaneously analyzes the corresponding characteristic of acquisition；
The hand movement function collection apparatus module is used to gather hand related to the nervous system disease when touch-control and writing
Motor function characteristic；
The phonetic feature acquisition module is used to gather related to the nervous system disease in every-day language and medical science detection process
Voice feature data；
The multi-channel data convergence analysis module is used to transport the body gait and attitude data collection analysis module, hand
The characteristic that dynamic functional character acquisition module and phonetic feature acquisition module are obtained is merged, and with specific nervous system disease
Disease is associated, the nervous system disease quantitative evalution model parameter is obtained, for nervous function quantitative assessment.
2. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 1, it is characterised in that the body gait
And attitude data collection analysis module includes being laid in single or multiple depth cameras in data acquisition space.
3. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 2, it is characterised in that the depth camera
The gait and body posture data that machine is collected include color flow image, depth image stream, infrared image stream, audio data stream and
Skeletal joint point attitude data stream.
4. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 2, it is characterised in that the body gait
And the obtained characteristic of attitude data collection analysis module analysis include speed, acceleration, track, angle, duration, the cycle,
Step height, leg speed and step pitch.
5. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 1, it is characterised in that the body gait
And attitude data collection analysis module also include data readback mark submodule, for by medical science related personnel to need carry out
The feature of manual oversight analysis is manually marked.
6. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 1, it is characterised in that the hand exercise
Functional character acquisition module includes handheld terminal and hand-written terminal, and the handheld terminal is used to use handheld terminal mistake by monitoring
Interactive action in journey, gathers the hand movement function related to the nervous system disease special by the sensor of handheld terminal in itself
Data are levied, the hand-written terminal is used to gather hand movement function characteristic related to the nervous system disease during handwriting input
According to.
7. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 6, it is characterised in that the handheld terminal
Also include wireless control terminal module, for carrying out remote control to whole system.
8. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 7, it is characterised in that the controlled in wireless
Terminal module includes again：Data Enter submodule, typing is scanned for the information to gathered person；Scale score typing
Module, the scale score for typing gathered person；The timing submodule of inspection project, for record check object time；
Remote control submodule, remote control is carried out for the process to data acquisition.
9. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 1, it is characterised in that the phonetic feature
Acquisition module is used for by the voice feature data during microphone collection every-day language and in medical science detection process.
10. a kind of multi-channel nerve function quantitative evaluation system as claimed in claim 1, it is characterised in that the voice is special
Data are levied including sustained vowel to pronounce or continuous statement pronunciation.
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| CN109717833A (en) * | 2018-11-26 | 2019-05-07 | 中国科学院软件研究所 | A kind of neurological disease assistant diagnosis system based on human motion posture |
| CN109717831A (en) * | 2018-11-26 | 2019-05-07 | 中国科学院软件研究所 | A kind of non-interfering type the nervous system disease assisted detection system based on touch control gesture |
| CN111354458A (en) * | 2018-12-20 | 2020-06-30 | 中国科学院软件研究所 | Touch interactive motion user feature extraction method based on general drawing task and auxiliary disease detection system |
| CN111354458B (en) * | 2018-12-20 | 2023-11-14 | 中国科学院软件研究所 | Touch interactive motion user feature extraction method and auxiliary disease detection system based on universal drawing task |
| CN111292851A (en) * | 2020-02-27 | 2020-06-16 | 平安医疗健康管理股份有限公司 | Data classification method and device, computer equipment and storage medium |
| CN112704500A (en) * | 2020-12-02 | 2021-04-27 | 中南大学 | Mental state screening system, mental state screening method and storage medium |
| CN112704500B (en) * | 2020-12-02 | 2022-04-26 | 中南大学 | Mental state screening system, mental state screening method and storage medium |
| CN113317763A (en) * | 2021-06-30 | 2021-08-31 | 平安科技（深圳）有限公司 | Multi-modal Parkinson's disease detection device and computer-readable storage medium |
| CN113317763B (en) * | 2021-06-30 | 2024-03-19 | 平安科技（深圳）有限公司 | Multi-mode-based parkinsonism detection device and computer-readable storage medium |
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