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Upper limb rehabilitation evaluation method based on rehabilitation exercise initiative participation judgment

A rehabilitation evaluation and active technology, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., can solve the problem of not reflecting the muscle condition of users with nervous system diseases

Pending Publication Date: 2020-12-08
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Metrics commonly used in assessment tools are derived from kinematic and kinetic data, such as position, velocity, and torque, but these data do not reflect muscular conditions (e.g., muscle strength, muscle activity) or intentions of users with neurological disorders
The advantage of these methods is that they are based on existing scale modeling, which saves the calculation process of the surveyors. The disadvantage is that professionals still need to assist in the measurement and fill in the input data.

Method used

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  • Upper limb rehabilitation evaluation method based on rehabilitation exercise initiative participation judgment
  • Upper limb rehabilitation evaluation method based on rehabilitation exercise initiative participation judgment
  • Upper limb rehabilitation evaluation method based on rehabilitation exercise initiative participation judgment

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Embodiment

[0074] Embodiment: An upper limb rehabilitation evaluation method based on the active participation judgment of rehabilitation exercise, the principle block diagram of the overall process is as follows figure 1 As shown, it is characterized in that it includes the following steps:

[0075] (1) Collect myoelectric signals and force signals as the input source data of the fuzzy reasoning model during the rehabilitation training of the upper limb rehabilitation robot;

[0076] The force signal is the pressure F obtained by the pressure force measuring device between the rehabilitation robot and the finger. The smaller and more uniform the pressure F, the lower the patient's participation. Electrical signals collected by the head muscle and deltoid muscle through the surface electrodes.

[0077] (2) Use the Butterworth band-pass filter to filter the EMG signal data obtained in step (1), and set the cutoff frequency to 500 Hz, which is a second-order band-pass filter that can eff...

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Abstract

The invention provides an upper limb rehabilitation evaluation method based on rehabilitation exercise initiative participation judgment. The method comprises the steps of signal acquisition, filtering, wavelet decomposition and reconstruction, time slice division, signal feature vector calculation, fuzzy set establishment for fuzzification, data training, membership function calculation, fuzzy evaluation matrix synthesis and rehabilitation initiative and exercise function evaluation. According to the method, participation of a rehabilitation doctor is not needed, and the upper limb rehabilitation exercise condition is measured through the participation degree of rehabilitation exercise based on electromyographic signals and contact force in the rehabilitation process. The method can helpto promote the rehabilitation enthusiasm of a user, enhance the confidence of a patient and know the illness recovery condition of the patient, and the patient can adjust the rehabilitation exercise mode and strength in a staged mode according to the rehabilitation condition.

Description

technical field [0001] The invention belongs to the field of exercise rehabilitation engineering, and in particular relates to an upper limb rehabilitation evaluation method based on the determination of active participation in rehabilitation exercise. Background technique [0002] Based on the theory of brain plasticity, stroke patients can recover upper limb function through rehabilitation exercises. In recent years, the number of stroke patients has been increasing day by day, but there is a large gap in rehabilitation physicians. As a result, more and more people choose to use upper limb rehabilitation robots to replace traditional rehabilitation physicians for rehabilitation exercises. However, only after a reasonable rehabilitation evaluation can we choose the appropriate intensity and type of rehabilitation exercise for the individualized rehabilitation goals. [0003] In the prior art, the rehabilitation evaluation of hemiplegia after stroke is mainly based on rela...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0488A61B5/00G16H20/30
CPCA61B5/725A61B5/7203A61B5/726A61B5/7257G16H20/30
Inventor 郭健郭书祥蔡慧敏
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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