CN206197948U - Quantify the wearable smart machine of detection Parkinson's motor symptoms - Google Patents
Quantify the wearable smart machine of detection Parkinson's motor symptoms Download PDFInfo
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- CN206197948U CN206197948U CN201620760939.2U CN201620760939U CN206197948U CN 206197948 U CN206197948 U CN 206197948U CN 201620760939 U CN201620760939 U CN 201620760939U CN 206197948 U CN206197948 U CN 206197948U
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Abstract
The utility model is related to a kind of wearable smart machine for quantifying detection Parkinson's motor symptoms, including being used to detect the wearing mechanism of Parkinson's motor symptoms and being used to the intelligent terminal for gathering the data message of wearing mechanism and processing and displaying, the wearing mechanism includes foot's module, foot's module includes the power module for electricity consumption power elements, it is used to sense the first MEMS motion measurement module of posture gait data, it is used to sense the pressure sensor of sole stress data and is used to the measurement data for gathering the first MEMS motion measurement module and the first microcontroller for being used to gather the measurement data of pressure sensor, the foot bottom of pressure sensor correspondence human body is set.The program, by the posture gait of the first MEMS motion measurement module senses patient foot, and is sent to intelligent terminal and is processed by the first microcontroller by measurement data, is used to aid in the monitoring and treatment of Parkinson's motor symptoms.
Description
Technical field
The utility model is related to a kind of wearable smart machine for quantifying detection Parkinson's motor symptoms.
Background technology
Parkinson's disease is a kind of disease of chronic central nervous system degenerative disorder.Tremble, muscular rigidity and fortune
It is Parkinson's 3 cardinal symptoms arranged side by side to move slow.There are increasing treatment method, but traditional Parkinson at present
The order of severity and its therapeutic effect of symptom it is main by neurosurgeon by rule of thumb with feel to be diagnosed.Therefore, public in application
Cloth CN 104127187A, entitled " for the wearable system and method for patient's Parkinson cardinal symptom quantitative determination " is public
A kind of wearable system for patient's Parkinson cardinal symptom quantitative determination is opened, the system includes gloves and is attached thereto
Computer；The gloves include wrist and finger tip module again, and the two modules are worn on patient's finger tip and wrist, institute respectively
Stating wrist includes sensor, microcontroller, and wherein sensor is by first MEMS motion measurement module and one group
Two pressure sensors composition of difference output, for the collection of muscular rigidity measurement data, and the data of collection is sent to
Microcontroller；The finger tip module includes second MEMS motion measurement module, is measured with bradykinesia for trembling
The collection of data, and the data of collection are sent to microcontroller；The microcontroller gathers the sensor and described the
Two measurement data of MEMS motion measurement module, and be sent to computer and process and display, realization is trembled, flesh
Meat is stiff and moves slow parameter measurement, and the initial data of measurement result and measurement passes through Computer display and preservation.
Above-mentioned wearable system can be realized trembling, muscular rigidity, bradykinesia, the quantitative inspection of four symptoms of unusual fluctuation disease
Survey, but its detection is comprehensive not enough.
In consideration of it, the present inventor carries out in-depth study to above mentioned problem, there is this case to produce then.
Utility model content
The purpose of this utility model is to provide a kind of quantization that can preferably aid in Parkinson's motor symptoms to check to examine
Survey the wearable smart machine of Parkinson's motor symptoms.
In order to achieve the above object, the utility model is using such technical scheme：
Quantify the wearable smart machine of detection Parkinson's motor symptoms, including be used to detect wearing for Parkinson's motor symptoms
Wear mechanism and be used to the intelligent terminal for gathering the data message of wearing mechanism and processing and displaying, the wearing mechanism includes
The foot's module in shoe body or in foot is installed in, foot's module includes being the power module of electricity consumption power elements, is used to feel
Survey posture gait data the first MEMS motion measurement module, be used to sense the pressure sensor of sole stress data with
And be used to gather the measurement data of the first MEMS motion measurement module and be used to gather the measurement data of pressure sensor
The first microcontroller, pressure sensor correspondence human body foot bottom set.
Used as a kind of preferred embodiment of the present utility model, the wearing mechanism passes through the first wireless mould with the intelligent terminal
Block is connected in the way of radio communication.
As a kind of preferred embodiment of the present utility model, the power module, the first MEMS motion measurement
Module and first wireless module are integrated on one piece of circuit board, and the circuit board is connected to the rear heel of the shoe body.
Used as a kind of preferred embodiment of the present utility model, the pressure sensor is connected by wire with the circuit board.
Used as a kind of preferred embodiment of the present utility model, the first MEMS motion measurement module is six axle inertia
Measuring unit, embedded one of unit is used for the three axis accelerometer and of the linear acceleration for measuring the motion of patient's heel
The individual three-axis gyroscope for measuring the three-dimensional angular velocity value of patient's heel motion.
Used as a kind of preferred embodiment of the present utility model, first wireless module is bluetooth module.
Used as a kind of preferred embodiment of the present utility model, the intelligent terminal is computer, panel computer or smart mobile phone.
Used as a kind of preferred embodiment of the present utility model, the wearing mechanism also includes being used to sense muscular rigidity data
Wrist and being used to sense tremble, the finger tip module of bradykinesia and unusual fluctuation disease data, also including may be worn in wrist
Belt body, wrist is connected on belt body, and finger tip module is connected on wrist by wire.
As a kind of preferred embodiment of the present utility model, adhered layer is connected with the circuit board.
After using the technical solution of the utility model, by first MEMS motion measurement module senses patient's pin
The posture gait in portion, and measurement data is sent to by intelligent terminal by the first microcontroller is processed, it is used to aid in handkerchief gold
The monitoring and treatment of gloomy motor symptoms.
Brief description of the drawings
Mechanism's use state figure is dressed in Fig. 1 the utility model (intelligent terminal is not shown in figure)；
Fig. 2 is theory diagram of the present utility model；
Fig. 3 is the structural representation of wrist and finger tip module in the utility model；
Fig. 4 is the structural representation of foot's module in the utility model；
In figure：
10- intelligent terminal 21- shoe bodies
22- circuit board 23- pressure sensors
24- the first MEMS motion measurement module the first microcontrollers of 25-
26- the first wireless module 27- power modules
31- wrist 32- finger tip modules
33- the second wireless module 40- belt bodies
50- adhered layers
Specific embodiment
In order to the technical solution of the utility model is explained further, it is described in detail below in conjunction with the accompanying drawings.
Referring to Figures 1 and 2, quantify the wearable smart machine of detection Parkinson's motor symptoms, including be used to detect handkerchief gold
The intelligent terminal 10 that the wearing mechanism of gloomy motor symptoms and being used to gathers the data message of wearing mechanism and processs and displays,
The wearing mechanism includes being installed in the foot's module in shoe body 21 or in foot, and foot's module includes being electricity consumption power elements
Power module 27, be used to sense the first MEMS motion measurement module 24 of posture gait data, be used to sense sole
The pressure sensor 23 of stress data and it is used to gather the measurement data and use of the first MEMS motion measurement module 24
To gather the first microcontroller 25 of the measurement data of pressure sensor 23, the foot bottom of the correspondence human body of pressure sensor 23 sets
Put.It should be noted that the first MEMS motion measurement module 24, the first microcontroller 25 and intelligence in the utility model
Energy terminal 10 is known hardware of the prior art, and the software function that it is carried also is open described in prior art, this practicality
The new collection and treatment for being incorporated into shoe body 21 or posture gait data being realized in foot.
Used as a kind of preferred embodiment of the present utility model, the wearing mechanism is wireless by first with the intelligent terminal 10
Module 26 is connected in the way of radio communication.
Used as a kind of preferred embodiment of the present utility model, the power module 27, first MEMS motion are surveyed
Amount module 24 and first wireless module 26 are integrated on one piece of circuit board 22, and the circuit board 22 is connected to the shoe body 21
Rear heel or foot rear heel, specifically, circuit board 22 is provided with adhered layer 50, by the adhered layer 50 by foot's mould
Block is connected to the rear heel of shoe body 21 or the rear heel of foot, and specifically, adhered layer 50 can use adhesive tape layer or thread gluing
Layer etc..
Used as a kind of preferred embodiment of the present utility model, pressure sensor 23 is connected with the first microcontroller 25 by wire
(such as IIC or spi bus).When in use, pressure sensor 23 can be placed under the shoe-pad of shoe body 21, be used to sense foot
Pressure.
Used as a kind of preferred embodiment of the present utility model, the first MEMS motion measurement module 24 is used for six axles
Property measuring unit, embedded one of the unit be used for the linear acceleration for measuring the motion of patient's heel three axis accelerometer and
One three-axis gyroscope of the three-dimensional angular velocity value for being used to measure the motion of patient's heel.
Used as a kind of preferred embodiment of the present utility model, first wireless module 26 is bluetooth module.
Used as a kind of preferred embodiment of the present utility model, the intelligent terminal 10 is computer, panel computer or intelligent hand
Machine.
Used as a kind of preferred embodiment of the present utility model, the wearing mechanism also includes being used to sense muscular rigidity data
Wrist 31 and being used to sense tremble, the finger tip module 32 of bradykinesia and unusual fluctuation disease data, the correspondence disease of wrist 31
The wrist of people is set, and the finger tip of the correspondence patient of finger tip module 32 is set, and specifically, wrist 31 is fixed on wearable to wrist
Belt body 40 on, wrist 31 and finger tip module 32 can connect that (such as IIC or SPI are total by wire in the embodiment
Line).Wrist 31 and finger tip module 32 are by the second wireless module 33 and the wireless connection of intelligent terminal 10.Wrist 31
With the concrete structure of finger tip module 32, it is entitled " to be used for the main disease of patient Parkinson in the A of application publication number CN 104127187
Had been introduced in the Chinese invention patent application of the wearable system and method for shape quantitative determination ", I will not elaborate.
The system that above-mentioned part is constituted is a kind of can to realize detecting the wearable of 5 cardinal symptoms detections of patient Parkinson
System, solves the problems, such as in the prior art just for the detection of single or some symptoms, be provided in particular in muscular rigidity and
The detection of posture abnormal gait symptom, whole system is easy to carry.
The utility model can further realize the unified quantitative determination and analysis of 5 cardinal symptoms of patient Parkinson.For
Unified storage, management and the analysis of all the sensors data are realized, on the basis of above-described embodiment, there is provided a cloud platform pipe
Reason system.The system includes several wearable smart machines and the management software with friendly graphic user interface, wearable
Wirelessly be transferred to sensing data in cloud platform and stored by smart machine, and user can be by cloud platform account
Management software is logged in, the sensing data in cloud platform is had access to and analyze.
The cloud platform management system can configure the wrist and heel part of wearable device by intelligent terminal,
Parkinson's motor symptoms consecutive quantized monitoring of connection doctor, patient and family members is realized, and issues the report of symptom auxiliary evaluation.
The management software has friendly graphic user interface, and user can log in software and enter line number by cloud platform account
According to management and analysis.Meanwhile, the cloud platform management software is further provided with tremble detection and its amplitude stabilization state-detection
Module, muscular rigidity detection module, the slow symptom detection module of motion, unusual fluctuation disease detection module and posture abnormal gait detection mould
Block, user can select corresponding detection module by graphic user interface, be entered using the sensing data stored in cloud platform
Row statistical analysis and quantization detection, realize 5 detections of main movement symptomatic parameter of patients with Parkinson disease, show testing result,
And issue the report of symptom auxiliary evaluation.
Product form of the present utility model is not limited to this case diagram and embodiment, and anyone carries out similar thinking to it
Appropriate change is modified, and all should be regarded as not departing from patent category of the present utility model.
Claims (9)
1. quantify the wearable smart machine of detection Parkinson's motor symptoms, including be used to detect the wearing of Parkinson's motor symptoms
The intelligent terminal that mechanism and being used to gathers the data message of wearing mechanism and processs and displays, it is characterised in that：It is described to wear
Wearing mechanism includes being installed in the foot's module in shoe body or in foot, and foot's module includes power module, is used to sense posture
First MEMS motion measurement module of gait data, it is used to sense the pressure sensor of sole stress data and is used to
Gather the measurement data of the first MEMS motion measurement module and be used to gather the first of the measurement data of pressure sensor
Microcontroller, the wearing mechanism is connected with intelligent terminal in the way of data cube computation, the sole of pressure sensor correspondence human body
Portion is set.
2. quantization as claimed in claim 1 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Wearing mechanism is connected with the intelligent terminal by way of the first wireless module is with radio communication.
3. quantization as claimed in claim 2 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Power module, the first MEMS motion measurement module and first wireless module are integrated in one piece of circuit board
On, the circuit board is connected to the rear heel of the shoe body.
4. quantization as claimed in claim 3 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Pressure sensor is connected by wire with the circuit board.
5. quantization as claimed in claim 4 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
First MEMS motion measurement module is six axle Inertial Measurement Units, and embedded one of the unit is used to measure patient's heel fortune
The three axis accelerometer of dynamic linear acceleration and one are used to measure the three of the three-dimensional angular velocity value of patient's heel motion
Axle gyroscope.
6. quantization as claimed in claim 5 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
First wireless module is bluetooth module.
7. quantization as claimed in claim 6 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Intelligent terminal is computer, panel computer or smart mobile phone.
8. quantization as claimed in claim 1 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Wearing mechanism also include being used to sense the wrist of muscular rigidity data and be used to sense tremble, bradykinesia and unusual fluctuation disease
The finger tip module of data, also including may be worn on the belt body in wrist, wrist is connected on belt body, and finger tip module is by leading
Line is connected on wrist.
9. quantization as claimed in claim 3 detects the wearable smart machine of Parkinson's motor symptoms, it is characterised in that：It is described
Adhered layer is connected with circuit board.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620760939.2U CN206197948U (en) | 2016-07-19 | 2016-07-19 | Quantify the wearable smart machine of detection Parkinson's motor symptoms |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620760939.2U CN206197948U (en) | 2016-07-19 | 2016-07-19 | Quantify the wearable smart machine of detection Parkinson's motor symptoms |
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| CN206197948U true CN206197948U (en) | 2017-05-31 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109480858A (en) * | 2018-12-29 | 2019-03-19 | 中国科学院合肥物质科学研究院 | It is a kind of for quantify detect disturbances in patients with Parkinson disease bradykinesia symptom wearable intelligence system and method |
| CN109745051A (en) * | 2018-12-24 | 2019-05-14 | 曾乐朋 | The monitoring device of motor symptoms |
| CN111012312A (en) * | 2019-12-25 | 2020-04-17 | 中国科学院合肥物质科学研究院 | Portable Parkinson's disease bradykinesia monitoring intervention device and method |
| ES2943163A1 (en) * | 2021-12-09 | 2023-06-09 | Roman Martinez Javier | DIAGNOSTIC DEVICE FOR NEUROLOGICAL PATHOLOGIES PRESENTING WITH TREMOR (Machine-translation by Google Translate, not legally binding) |
| CN117298449A (en) * | 2023-10-31 | 2023-12-29 | 首都医科大学宣武医院 | Closed-loop DBS regulation and control method and system based on wearable equipment |
-
2016
- 2016-07-19 CN CN201620760939.2U patent/CN206197948U/en active Active
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109745051A (en) * | 2018-12-24 | 2019-05-14 | 曾乐朋 | The monitoring device of motor symptoms |
| CN109480858A (en) * | 2018-12-29 | 2019-03-19 | 中国科学院合肥物质科学研究院 | It is a kind of for quantify detect disturbances in patients with Parkinson disease bradykinesia symptom wearable intelligence system and method |
| CN109480858B (en) * | 2018-12-29 | 2022-02-22 | 中国科学院合肥物质科学研究院 | Wearable intelligent system and method for quantitatively detecting motor retardation symptoms of Parkinson patients |
| CN111012312A (en) * | 2019-12-25 | 2020-04-17 | 中国科学院合肥物质科学研究院 | Portable Parkinson's disease bradykinesia monitoring intervention device and method |
| CN111012312B (en) * | 2019-12-25 | 2024-01-30 | 中国科学院合肥物质科学研究院 | Portable parkinsonism bradykinesia monitoring and intervention device and method |
| ES2943163A1 (en) * | 2021-12-09 | 2023-06-09 | Roman Martinez Javier | DIAGNOSTIC DEVICE FOR NEUROLOGICAL PATHOLOGIES PRESENTING WITH TREMOR (Machine-translation by Google Translate, not legally binding) |
| WO2023105107A1 (en) * | 2021-12-09 | 2023-06-15 | Roman Martinez Javier | Device for diagnosing neurological pathologies exhibiting tremor |
| CN117298449A (en) * | 2023-10-31 | 2023-12-29 | 首都医科大学宣武医院 | Closed-loop DBS regulation and control method and system based on wearable equipment |
| CN117298449B (en) * | 2023-10-31 | 2024-04-09 | 首都医科大学宣武医院 | Closed-loop DBS regulation and control method and system based on wearable equipment |
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