CN205318387U - Multinode parkinson disease symptom ration evaluation device - Google Patents
Multinode parkinson disease symptom ration evaluation device Download PDFInfo
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- CN205318387U CN205318387U CN201521096976.XU CN201521096976U CN205318387U CN 205318387 U CN205318387 U CN 205318387U CN 201521096976 U CN201521096976 U CN 201521096976U CN 205318387 U CN205318387 U CN 205318387U
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- 208000024891 symptom Diseases 0.000 title claims abstract description 24
- 238000011156 evaluation Methods 0.000 title abstract description 7
- 208000018737 Parkinson disease Diseases 0.000 title abstract description 5
- 230000033001 locomotion Effects 0.000 claims abstract description 39
- 238000004891 communication Methods 0.000 claims abstract description 26
- 230000003750 conditioning effect Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 25
- 230000003183 myoelectrical effect Effects 0.000 claims description 12
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- 238000005259 measurement Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 abstract description 6
- 230000036541 health Effects 0.000 abstract description 3
- 230000005611 electricity Effects 0.000 abstract 7
- 238000011002 quantification Methods 0.000 abstract 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
- 230000007659 motor function Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 208000012661 Dyskinesia Diseases 0.000 description 3
- 206010044565 Tremor Diseases 0.000 description 3
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- 238000013399 early diagnosis Methods 0.000 description 3
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- 238000011160 research Methods 0.000 description 3
- 208000002740 Muscle Rigidity Diseases 0.000 description 2
- 230000000386 athletic effect Effects 0.000 description 2
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- 206010006100 Bradykinesia Diseases 0.000 description 1
- 206010017577 Gait disturbance Diseases 0.000 description 1
- 208000006083 Hypokinesia Diseases 0.000 description 1
- 208000027089 Parkinsonian disease Diseases 0.000 description 1
- 206010034010 Parkinsonism Diseases 0.000 description 1
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- 208000011580 syndromic disease Diseases 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The utility model discloses a multinode parkinson disease symptom ration evaluation device, it includes: a plurality of motions and flesh electricity detection module, every motion has a microprocessor with flesh electricity detection module, and the electricity is connected in a microprocessor's motion sensor and flesh electric sensor respectively, and the electricity is connected in a wiFi communication module of a microprocessor output and first power management module, pronunciation logging module, it has electricity connection in order and divide equally microphone, signal conditioning circuit, adc, the 2nd microprocessor and the 2nd wiFi communication module who do not connects in second source management module output, terminal handling equipment, its output electricity respectively are connected with display screen, speaker, and terminal handling equipment still two -way electricity is connected with the 3rd wiFi communication module. The utility model discloses objective aassessment is carried out with the flesh signal of telecommunication to patient's motion function to the motion at the different positions of accessible patient health to provide the quantification index to every motion assessment of function content.
Description
Technical field
This utility model relates to the motor system qualitative assessment field in biomedical engineering. More specifically, this utility model relates to a kind of multinode parkinson symptom qualitative assessment device.
Background technology
Parkinson disease (Parkinson ' sDisease, PD) it is again paralysis agitans syndrome, parkinsonism, it is a kind of chronic CNS degenerative disorder disease. This disease is mainly in elderly population, and average age of onset is approximately 60 years old, and the age of onset of this disease in recent years has downward trend. In China, in over-65s crowd, the sickness rate of PD is 1.7% according to statistics, and in more than 55 years old crowd, the sickness rate of PD is 1%. PD has become as " the 3rd killer " of mid-aged population, and the life and health of the mankind in serious threat.
The clinical symptoms of PD is divided into dyskinesia symptom and non-athletic dysfunction symptom. First patient there is unilateral limb tremor or slow movement, has influence on the motor function of symmetrical side limbs further. Along with the research to the PD state of an illness, the non-athletic dysfunction symptom of the aspect such as Patients ' Cognitive, emotion is also paid close attention to by people. But in early days in disease, first dyskinesia symptom occurs, main manifestations is static tremor (Statictremor) clinically, slow movement (Bradykinesia), muscular rigidity (Rigidity) and posture gait disorder (Postureinstabilityandgaitdisorder). Therefore, exactly dyskinesia symptom is estimated, it is possible to better patient is carried out early diagnosis and the state of an illness is carried out by stages.
The assessment of PD patient moving dysfunction symptom is relied primarily on marking scales by current clinician, but scaling method is subject to the operating experience of scoring doctor and the impact of patient's states when assessing with emotion. So relying on marking scales that PD patient moving function is estimated and objective and accurate not, can to the early diagnosis of PD, impact by stages.Meanwhile, the motor function that PD patient can only be order sometime by scaling method is estimated, it is impossible to accomplish continuous monitoring, and the treatment of PD patient is significant by continuous monitoring.
Along with the development of sensing detection Yu electronic technology, research and develop the wearable motion of the underload for the assessment of PD patient moving function quantitative and device for monitoring physiological signals is possibly realized.
Utility model content
A purpose of the present utility model is to solve at least the above and/or defect, and provides the advantage that at least will be described later.
This utility model is it is also an object that provide a kind of multinode parkinson symptom qualitative assessment device, it can by detecting the motion of patient body different parts and electromyographic signal, thus the motor function of patient is carried out objective evaluation, and each motor function project is provided quantifiable index, improve the substantivity to patient motion perception and sensitivity.
In order to realize according to these purposes of the present utility model and further advantage, it is provided that a kind of multinode Parkinsonian symptoms qualitative assessment device, comprising:
Multiple motions and checking with EMG method module, each motion and checking with EMG method module have first microprocessor, it is electrically connected the motion sensor in described first microprocessor input and myoelectric sensor, it is electrically connected to the first WiFi communication module of described first microprocessor outfan, and first power management module, the outfan of wherein said first power management module is electrically connected in described motion sensor, myoelectric sensor, first microprocessor and the first WiFi communication module;
Voice recording module, it has the mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module that sequentially electrically connect, and the outfan that described mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module manage module with second source respectively electrically connects;
Terminal process equipment, its outfan has been electrically connected display screen, speaker, and described terminal process equipment is also two-way is electrically connected with the 3rd WiFi communication module.
Preferably, wherein, also include:
First status indicator lamp, it is electrically connected to the outfan of described first microprocessor;
Second status indicator lamp, it is electrically connected to the outfan of described second microprocessor;
Memory element, it is electrically connected to the outfan of described terminal process equipment.
Preferably, wherein, described motion sensor is nine axis movement sensors, and it has and is packaged in the three axis accelerometer of same chip, three-axis gyroscope and three axle magnetometers.
Preferably, wherein, described myoelectric sensor adopts the analog front-end chip that can simultaneously gather 2～8 passage biopotential signals.
Preferably, wherein, the measurement electrode of described myoelectric sensor selects differential electrode.
Preferably, wherein, described first microprocessor and the first WiFi communication module, the second microprocessor and the second WiFi communication module are the single chip microcontroller unit that built-in WiFi is connective.
Preferably, wherein, described first power management module and second source management module are respectively provided with electric power management circuit and the battery of the outfan being connected to described electric power management circuit, and described battery is rechargeable battery.
Preferably, wherein, described first power management module and second source management module are equipped with USB interface, and described USB interface is connected to the input of described electric power management circuit.
This utility model at least includes following beneficial effect:
(1) multiple motion of the present utility model and checking with EMG method module can the flexible different detected part that must be worn on disturbances in patients with Parkinson disease health respectively, the corresponding movements of parts of the body signal of cooperation detection and electromyographic signal real-time Transmission, to terminal processing device, improve the reliability and reference value that gather data;
(2) voice recording module of the present utility model can gather the voice signal of patient real-time Transmission to terminal processing device, it is simple to analyzes the relation between patient's phonetic feature and Parkinsonian symptoms, improves reliable foundation for Parkinsonian early diagnosis;
(3) this utility model adopts wireless way for transmitting data, and each module is independent, can be placed in whole body flexibly, and portability is high.
Part is embodied by further advantage of the present utility model, target and feature by description below, and part also will by being understood by those skilled in the art research of the present utility model and practice.
Accompanying drawing explanation
Fig. 1 is the system block diagram of single motion and checking with EMG method module in one embodiment of this utility model;
Fig. 2 is the system block diagram of voice recording module in another embodiment of this utility model;
Fig. 3 is the system block diagram of multinode Parkinsonian symptoms qualitative assessment device in another embodiment of this utility model.
Detailed description of the invention
Below in conjunction with accompanying drawing, this utility model is described in further detail, to make those skilled in the art can implement according to this with reference to description word.
Should be appreciated that used herein such as " have ", existence or the interpolation of other elements one or more or its combination do not allotted in " comprising " and " including " term.
Fig. 1～Fig. 3 illustrates according to a kind of way of realization of the present utility model, including:
Multiple motions and checking with EMG method module, with reference to Fig. 1, each motion and checking with EMG method module have first microprocessor, it is electrically connected the motion sensor in described first microprocessor input and myoelectric sensor, it is electrically connected to the first WiFi communication module of described first microprocessor outfan, and first power management module, the outfan of wherein said first power management module is electrically connected in described motion sensor, myoelectric sensor, first microprocessor and the first WiFi communication module;
Voice recording module, with reference to Fig. 2, it has the mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module that sequentially electrically connect, and the outfan that described mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module manage module with second source respectively electrically connects;
Terminal process equipment, its outfan is connected to display screen, speaker and the 3rd WiFi communication module, and described terminal process equipment can be have the smart mobile phone of WiFi communication function, panel computer, electronic computer etc., but is not limited thereto.
In this technical scheme, multiple motions and checking with EMG method module are fixed on respectively through elastic webbing the positions to be monitored such as the bilateral hand of Parkinsonian, bilateral leg and waist, ensure fixing firm, so that detection module does not shake when patient moving, with reference to Fig. 3,5 motions are individually fixed in the left and right upper limb of patient, left and right lower limb and waist with checking with EMG method module; Voice recording module is fixed on by clip Parkinsonian's jacket collar or shirtfront etc., guarantee that voice recording module can clearly record the voice signal of patient, installment work terminates rear Parkinsonian and carries out regular motion evaluation project, and simultaneously terminal process equipment instructs video by what its display screen and player can play corresponding conventional locomotor ratings project;
When patient completes above-mentioned respective item action, the signal of Real-time Collection can be analyzed processing by WiFi module transmission to terminal process equipment by multiple motions with checking with EMG method module and voice recording module, thus the content of each motor functional evaluation of patient can be provided quantizating index.
In another kind of example, also include:
First status indicator lamp, it is connected to the outfan of described first microprocessor;
Second status indicator lamp, it is connected to the outfan of described second microprocessor;
Memory element, it is electrically connected to the outfan of described terminal process equipment, in order to the preservation of measurement data;
Wherein said first and second status indicator lamp is respectively in order to indicate the working condition of each motion and checking with EMG method module and voice recording module, it is prevented that the judgement to result of each module generation anomalous effects.
In such scheme, described motion sensor is nine axis movement sensors, and it has and is packaged in the three axis accelerometer of same chip, three-axis gyroscope and three axle magnetometers, in order to detect the motor message of Parkinsonian's particular body portion from multiple dimensions.
In such scheme, described myoelectric sensor adopts the analog front-end chip that can simultaneously gather 2～8 passage biopotential signals, it is divided into several region first against a certain region to be detected, the region that the measurement electrode that each passage is corresponding is respectively distributed to delimit is detected, both ensure that the detection of the multichannel electromyographic signal to Parkinsonian's particular body portion, decrease again the cost of signal acquiring system, power consumption and the complexity of signal processing.
In such scheme, the measurement electrode of described myoelectric sensor selects differential electrode, is both easy to carry, and also to skin zero damage when measuring.
In such scheme, described first microprocessor and the first WiFi communication module, the second microprocessor and the second WiFi communication module are the single chip microcontroller unit CC3200 chip that built-in WiFi is connective, this chip can realize microcontroller and two functions of WiFi communication, to reduce the volume and weight of sensor further, it is achieved system is microminiaturized.
In such scheme, described first power management module and second source management module are respectively provided with electric power management circuit and the battery of the outfan being connected to described electric power management circuit, and described battery is rechargeable battery, adds the portability of system.
In such scheme, described first power management module and second source management module are equipped with USB interface, and described USB interface is connected to the input of described electric power management circuit in order to rechargeable battery to be charged. Further, this mode is the explanation of a kind of preferred embodiments, but is not limited thereto. When implementing this utility model, it is possible to implement different aspects according to user demand.
Number of devices described herein and treatment scale are used to simplify explanation of the present utility model. The application of multinode Parkinsonian symptoms qualitative assessment device of the present utility model, modifications and variations be will be readily apparent to persons skilled in the art.
As mentioned above, according to this utility model, by the motion of patient body different parts and electromyographic signal, the motor function of patient can be carried out objective evaluation, and each motor functional evaluation content is provided quantizating index, improve the substantivity to patient motion perception and sensitivity, and this device adopts wireless way for transmitting data, each module is independent, can being placed in whole body flexibly, portability is high.
Although embodiment of the present utility model is disclosed as above, but it is not restricted in description and embodiment listed utilization.It can be applied to various applicable field of the present utility model completely. For those skilled in the art, it is easily achieved other amendment. Therefore, under the general concept limited without departing substantially from claim and equivalency range, this utility model is not limited to specific details and shown here as the legend with description.
Claims (8)
1. a multinode Parkinsonian symptoms qualitative assessment device, it is characterised in that including:
Multiple motions and checking with EMG method module, each motion and checking with EMG method module have first microprocessor, it is electrically connected the motion sensor in described first microprocessor input and myoelectric sensor, it is electrically connected to the first WiFi communication module of described first microprocessor outfan, and first power management module, the outfan of wherein said first power management module is electrically connected in described motion sensor, myoelectric sensor, first microprocessor and the first WiFi communication module;
Voice recording module, it has the mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module that sequentially electrically connect, and the outfan that described mike, signal conditioning circuit, analog-digital converter, the second microprocessor and the second WiFi communication module manage module with second source respectively electrically connects;
Terminal process equipment, its outfan has been electrically connected display screen and speaker, and described terminal process equipment is two-way electrical connection the 3rd WiFi communication module also.
2. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterised in that also include:
First status indicator lamp, it is electrically connected to the outfan of described first microprocessor;
Second status indicator lamp, it is electrically connected to the outfan of described second microprocessor;
Memory element, it is electrically connected to the outfan of described terminal process equipment.
3. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterised in that described motion sensor is nine axis movement sensors, it has and is packaged in the three axis accelerometer of same chip, three-axis gyroscope and three axle magnetometers.
4. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterised in that described myoelectric sensor adopts the analog front-end chip that can simultaneously gather 2～8 passage biopotential signals.
5. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterised in that the measurement electrode of described myoelectric sensor selects differential electrode.
6. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterized in that, described first microprocessor and the first WiFi communication module, the second microprocessor and the second WiFi communication module are the single chip microcontroller unit that built-in WiFi is connective.
7. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 1, it is characterized in that, described first power management module and second source management module are respectively provided with electric power management circuit and the battery of the outfan being connected to described electric power management circuit, and described battery is rechargeable battery.
8. multinode Parkinsonian symptoms qualitative assessment device as claimed in claim 6, it is characterized in that, described first power management module and second source management module are equipped with USB interface, and described USB interface is connected to the input of described electric power management circuit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201521096976.XU CN205318387U (en) | 2015-12-24 | 2015-12-24 | Multinode parkinson disease symptom ration evaluation device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201521096976.XU CN205318387U (en) | 2015-12-24 | 2015-12-24 | Multinode parkinson disease symptom ration evaluation device |
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| CN205318387U true CN205318387U (en) | 2016-06-15 |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105426696A (en) * | 2015-12-24 | 2016-03-23 | 中国科学院苏州生物医学工程技术研究所 | Multi-node quantitative assessment system and method for symptoms of Parkinson's disease |
| CN106974361A (en) * | 2017-03-31 | 2017-07-25 | 西安交通大学 | A kind of wearable Intelligent insole with health diagnosis function |
| CN109620250A (en) * | 2019-02-22 | 2019-04-16 | 北京大学深圳医院 | One kind, which is trembled, detects prompt Parkinson's risk bracelet and its application method |
| CN111292844A (en) * | 2020-01-21 | 2020-06-16 | 桂林医学院附属医院 | Parkinson disease condition monitoring system |
| CN111528842A (en) * | 2020-05-26 | 2020-08-14 | 复嶂环洲生物科技(上海)有限公司 | Quantitative assessment method for Parkinson disease symptoms based on physiological and behavioral indexes |
| CN114171194A (en) * | 2021-10-20 | 2022-03-11 | 中国科学院自动化研究所 | Quantitative assessment method, device, electronic device and medium for Parkinson multiple symptoms |
-
2015
- 2015-12-24 CN CN201521096976.XU patent/CN205318387U/en not_active Expired - Fee Related
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105426696A (en) * | 2015-12-24 | 2016-03-23 | 中国科学院苏州生物医学工程技术研究所 | Multi-node quantitative assessment system and method for symptoms of Parkinson's disease |
| CN106974361A (en) * | 2017-03-31 | 2017-07-25 | 西安交通大学 | A kind of wearable Intelligent insole with health diagnosis function |
| CN106974361B (en) * | 2017-03-31 | 2018-12-18 | 西安交通大学 | A kind of wearable Intelligent insole with health diagnosis function |
| CN109620250A (en) * | 2019-02-22 | 2019-04-16 | 北京大学深圳医院 | One kind, which is trembled, detects prompt Parkinson's risk bracelet and its application method |
| CN109620250B (en) * | 2019-02-22 | 2024-02-02 | 北京大学深圳医院 | Tremor detection prompting parkinsonian risk bracelet and use method thereof |
| CN111292844A (en) * | 2020-01-21 | 2020-06-16 | 桂林医学院附属医院 | Parkinson disease condition monitoring system |
| CN111292844B (en) * | 2020-01-21 | 2023-03-21 | 桂林医学院附属医院 | Parkinson disease condition monitoring system |
| CN111528842A (en) * | 2020-05-26 | 2020-08-14 | 复嶂环洲生物科技(上海)有限公司 | Quantitative assessment method for Parkinson disease symptoms based on physiological and behavioral indexes |
| CN111528842B (en) * | 2020-05-26 | 2023-01-03 | 复嶂环洲生物科技(上海)有限公司 | Quantitative assessment method for Parkinson disease symptoms based on physiological and behavioral indexes |
| CN114171194A (en) * | 2021-10-20 | 2022-03-11 | 中国科学院自动化研究所 | Quantitative assessment method, device, electronic device and medium for Parkinson multiple symptoms |
| CN114171194B (en) * | 2021-10-20 | 2022-09-06 | 中国科学院自动化研究所 | Quantitative assessment method, device, electronic device and medium for Parkinson multiple symptoms |
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Granted publication date: 20160615 |