Dyskinesia recognition device, system and method

A technology for motor dysfunction and identification devices, which is applied in the field of medical devices, can solve problems that are difficult to eliminate, low sensitivity, non-objective and inaccurate, and achieve the effects of convenient real-time monitoring, accurate identification, and good real-time performance

Active Publication Date: 2021-02-05
SHANDONG UNIV
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, due to the large number of people who need long-term management and rehabilitation of motor dysfunction, and currently clinically mainly rely on traditional methods such as face-to-face examination and questioning of doctors to judge motor dysfunction, the inventors found that these methods have low sensitivity and cannot detect minor abnormal motor function, which is not conducive to early diagnosis of the disease
Moreover, there are many human factors, and it is difficult to eliminate the influence caused by the subjective differences of different testers, which is not conducive to the doctor's longitudinal observation of the patient's condition and evaluation of the disease progress, which is neither objective nor accurate.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Dyskinesia recognition device, system and method
  • Dyskinesia recognition device, system and method
  • Dyskinesia recognition device, system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0069] This embodiment discloses a motor dysfunction identification system, such as Figure 9 shown, including:

[0070] 1. Acquisition module: it is configured to collect multi-dimensional motion information of the patient, and can receive the velocity, acceleration and displacement information of the corresponding patient parts collected by the sensor.

[0071] 2. The graph modeling module: it is configured to establish multiple graph models corresponding to the multi-dimensional motion information of non-overlapping time periods according to the collected multi-dimensional motion information of the patient;

[0072] As an emerging modeling method, graphical model can be effectively applied to the field of sports health assessment. The graph model (G) is a graph composed of points (V) and edges (L) to describe the system, and the distance indicators between points are usually given to the corresponding edges as weights. With the help of the relevant knowledge of the graph ...

Embodiment 3

[0106] This embodiment discloses a method for identifying motor dysfunction, such as Figure 10 shown, including the following steps:

[0107] include:

[0108] Step 1: Collect the multi-dimensional motion information of the patient, and receive the velocity, acceleration and displacement information of the corresponding patient parts collected by the sensor.

[0109] Step 2: According to the collected multi-dimensional motion information of the patient, a graphical model corresponding to the multi-dimensional motion information of multiple non-overlapping time periods is established;

[0110] As an emerging modeling method, graphical model can be effectively applied to the field of sports health assessment. The graph model (G) is a graph composed of points (V) and edges (L) to describe the system, and the distance indicators between points are usually given to the corresponding edges as weights. With the help of the relevant knowledge of the graph model, the multi-scale in...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a dyskinesia recognition device, system and method. The device comprises a plurality of detection parts which are connected with a wireless transmission mechanism through signal lines; the wireless transmission mechanism is in wireless connection with a monitoring terminal, and can transmit signals collected by a plurality of sensors to the monitoring terminal; and the detection parts and the wireless transmission mechanism are connected with bandages, so that the detection parts and the wireless transmission mechanism can be fixed to the set parts of the body of the patient through the bandages. The device and the system are objective and accurate in recognition.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a motor dysfunction identification device, system and method. Background technique [0002] The statements herein merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Motor dysfunction is a disease in which the central nervous system is damaged mainly caused by external force injury, brain injury or neurological disease, and then leads to abnormal function of the neuromuscular system. The clinical manifestations are mostly: 1. Involuntary movements; 2. Absence of movements Or slow without paralysis; 3. Abnormal posture and muscle tone. There are many reasons for motor dysfunction, such as neurological diseases, including epilepsy, Parkinson's, cerebral palsy, polio, and damage to the nervous system caused by external force injuries; it can also be caused by damage to motor organs caused by external f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11A61B5/00
CPCA61B5/0015A61B5/1118A61B5/4082A61B5/746
Inventor 卢国梁许云泉陈子旭尚伟谢兆宏许峰张红刘震王尚王莉莉
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap