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Implementation method of hand stimulation training device based on machine learning

A training device and machine learning technology, which can be used in positioning for physical therapy, equipment using electric current, physical therapy, etc., can solve the problems of difficult to achieve the purpose of auxiliary treatment, unpredictable training results, unsatisfactory training results, etc., and achieve medical saving Expenses, avoiding delays in illness, and improving the effect of stimulating training effects

Active Publication Date: 2021-02-19
WEST CHINA HOSPITAL SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing hand stimulation training programs often have unsatisfactory training effects, and in the end it is difficult to achieve the expected purpose of adjuvant therapy. It has brought greater difficulties for doctors to formulate training plans

Method used

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  • Implementation method of hand stimulation training device based on machine learning
  • Implementation method of hand stimulation training device based on machine learning
  • Implementation method of hand stimulation training device based on machine learning

Examples

Experimental program
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Embodiment

[0032] The invention provides a hand stimulation training device based on machine learning, such as figure 1 , 2 As shown, it includes a glove 1 that matches the shape of the palm and has an air bag inside, an air pump 2 used to inflate the glove 1 is used in conjunction with the glove 1, and a control device 3 for controlling the operation of the air pump 2 and the glove 1 is arranged on The wireless module 10 on the control device 3 and the remote terminal 11 connected to the wireless module 10 . The glove 1 includes a finger part 4, a palm part 5 and a back of the hand 6 which are connected on the outside and are mutually independent closed structures inside, which are respectively arranged at the end of the middle finger sleeve of the finger part 4, the center of the palm part 5 and the back of the hand. The inflation port 7 in the center of 6 communicates with the air pump 2, and a number of stimulation components 8 arranged in the glove and distributed according to the ...

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Abstract

The invention discloses an implementation method of a hand stimulation training device based on machine learning. The hand stimulation training device comprises a glove, an inflator pump, a control device, a wireless module and a remote terminal, wherein the glove comprises finger parts, a palm part, a hand back part, inflation inlets which are formed in the tail ends of middle finger sleeves of the finger parts, the center of the palm part and the center of the hand back part respectively and communicate with an inflation pump, and a plurality of stimulation components which are arranged in the glove and distributed according to acupuncture points of the hand; and all the stimulation components are electrically connected with the control device. The implementation method comprises the following steps: (1) establishing a database; (2) pretreating raw data; (3) processing missing data; (4) developing a neural network model; and (5) generating a prediction guide for hand stimulation training. The corresponding neural network model is established in a machine learning mode, the stimulation training recovery degree under different hand nerve injury conditions is predicted through the model, and guidance can be provided for doctors to make an optimal training plan.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a method for realizing a hand stimulation training device based on machine learning. Background technique [0002] Hand acupuncture, also known as hand acupuncture. It is formed on the basis of traditional Chinese acupuncture and moxibustion combined with biological holographic theory and rules, and stimulates specific areas and acupoints of the hand through acupuncture and other methods to treat diseases. After years of practice, electroacupuncture has been applied to hand acupuncture to treat diseases in modern times, and more experience has been accumulated in the positioning, adaptation range and stimulation methods of hand acupuncture point lines. Hand acupuncture has become one of the commonly used treatment methods by some clinicians. First, it has achieved remarkable curative effect in the treatment of a large number of pediatric patients. The hand-acupuncture s...

Claims

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Application Information

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IPC IPC(8): A61H39/00G16H20/30
CPCA61H39/002G16H20/30A61H2201/5007A61H2205/065
Inventor 屈云
Owner WEST CHINA HOSPITAL SICHUAN UNIV
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