Muscular weakness finger function rehabilitation training system based on multi-sensor data glove

Abstract

The invention discloses a myasthenia finger function rehabilitation training system based on a multi-sensor data glove. The myasthenia finger function rehabilitation training system comprises a sensor data communication module, a rehabilitation training development module and a data management storage module. A user transmits hand information to the system in real time by wearing a data glove, wherein the data glove comprises three sensors, namely a stretchable and bendable sensor for monitoring finger movement states, an inertial sensor for capturing palm space movement states and a flexible pressure sensor for detecting hand grasping force; the intelligent rehabilitation training system can be autonomously used by a user, qualitative training data of the user is changed into quantitative training data, training actions of the user are visualized, and the training data of the user are displayed and stored in real time, so that rehabilitation doctors can propose feedback suggestions for rehabilitation training of the user, and the rehabilitation training efficiency is improved. Various sensor data are connected with a virtual hand by using a virtual reality technology, and a user is helped to perform autonomous rehabilitation training through an auxiliary training game.

Description

technical field [0001] The invention relates to the technical field of rehabilitation medical equipment, in particular to a muscle weakness finger function rehabilitation training system based on multi-sensor data gloves. Background technique [0002] The hand is an important organ used by human beings to interact with the objective world. It has dual functions of self-care, productive labor, emotional expression, and thought exchange. However, impairment of hand function due to diseases, accidents and other factors is not uncommon, such as hand trauma and stroke. Although the rapid development of medical technology can continuously reduce the risk of death of stroke patients, the sequelae of disability still cannot be changed. According to rehabilitation theory and clinical proof: after surgery or drug treatment, reasonable rehabilitation training can achieve good results for the recovery of hand nerves and muscles. [0003] At present, active hand function rehabilitation...

AI Technical Summary

Problems solved by technology

[0003] At present, there are not many active hand function rehabilitation training systems based on data gloves in China, and ordinary data gloves can only detect the position of finger movement, but cannot detect the strength of hand grip

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