A rehabilitation method and system based on multi-sensor action recognition
A technology of action recognition and rehabilitation methods, applied in sensors, electrotherapy, therapeutic sports, etc., can solve problems such as interference of recognition effects, expensive deployment costs, and lack of neurological assessment
Active Publication Date: 2022-08-02
上海应手医疗器械有限公司
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Problems solved by technology
[0004] 1. The current rehabilitation relies on the use of mechanical rehabilitation, the training of mechanical rehabilitation is relatively rigid, and the training movements are simplistic
[0005] 2. The current sports rehabilitation lacks the evaluation of the nerves during the rehabilitation process, and it is impossible to make an effective rehabilitation plan;
[0006] 3. The current mainstream human action recognition is based on visual sensors, and its recognition effect is easily disturbed by external factors such as light and angle; the deployment cost is expensive
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[0025] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are some, but not all, embodiments of the present invention. Based on the described embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.
[0026] Unless otherwise defined, technical or scientific terms used herein should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. "First", "second" and similar words used in the description of the patent application of the present invention and the claims do not denote any order, quantity or importance, but are only used to distinguish different components. Likewise, "a" or "an" a...
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The invention relates to a rehabilitation method and system based on multi-sensor motion recognition, which specifically includes the following steps: a sample data acquisition step: acquiring acceleration sample data of a rehabilitation motion, and adding the acceleration sample data to a database; and a local feature acquisition step: According to the acceleration sample data in the database, the CART decision tree is used for classification training, and multiple local features are obtained; the action recognition step: according to the synchronous acquisition of acceleration signal data and surface EMG data, according to multiple local features and surface EMG data The single-dimensional feature of , realizes action recognition; compensation step: according to the recognized action and surface EMG signal data, the EMG compensation is implemented. The present invention adopts the multi-sensor data fusion algorithm used for human body intention recognition, uses the fully connected layer to reassemble all local features into complete one-dimensional features through the matrix, and finally uses the soft-max layer to map the one-dimensional features into probabilities to complete the classification. .
Description
technical field [0001] The invention relates to a rehabilitation method and system based on multi-sensor action recognition. Background technique [0002] In recent years, the number of patients with lower extremity motor dysfunction caused by diseases of the central nervous system, such as spinal cord injury and stroke, has increased rapidly, seriously endangering human health. With the development of society and the improvement of people's medical care and living standards, the health of the disabled has attracted the attention of the whole society. Weight loss walking training is one of the important means of walking rehabilitation for patients with these diseases, and a large number of clinical studies have confirmed its effectiveness. The traditional rehabilitation treatment method mainly relies on nurses to assist patients in rehabilitation training. The effect of rehabilitation training depends on the technical level and love of the nurses. At the same time, the numb...
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IPC IPC(8): A61B5/11A61B5/389A61B5/395A61N1/36A63B71/06
CPCA61B5/1118A61B5/1121A61B5/389A61B5/395A61B5/6801A61B5/7267A61N1/36003A61N1/36031A63B71/0619A63B2071/0655A63B2213/004A63B2214/00A63B2220/40A63B2230/085
Inventor茆顺明周志勇张迪李龙康威江亚娟康文王荣荣许红霞
Owner上海应手医疗器械有限公司