Real time control device and control method by two-degrees-of freedom myoelectricity artificial hand

Abstract

The invention relates to a technology for controlling artificial hand with electromyographic information. The existing multi-freedom prosthetic hand adopts sequential control method or switch switching method to realize control, which lacks real-time performance and poor bionic performance. The invention comprises three myoelectric pick-up sensors, and the myoelectric pick-up sensor is connected with a rear-stage amplification and filter circuit, an A / D conversion circuit, a single-chip microcomputer and two motors of a two-degree-of-freedom myoelectric prosthetic hand for sequential signals. Specific control method: Three electromyographic pickup sensors respectively collect the surface electromyographic signals corresponding to the extensor carpi ulnaris, flexor carpi ulnaris and extensor fingers from the human body, and input them after amplification, filtering and A / D conversion processing In the single-chip microcomputer; the single-chip microcomputer judges the strength of the surface electromyography signal, and outputs four control signals, and drives the motor of the artificial hand through the driving circuit to complete the four actions of the artificial hand. The recognition accuracy rate of multi-motion pattern of the hand reaches 100%, and realizes the real-time control of the four movements of the two-free artificial hand under the high reliable recognition rate.

Description

technical field [0001] The invention belongs to the technical field of information and control, and relates to a technology for controlling an artificial hand with myoelectric information, in particular to a real-time control device and a control method for a two-degree-of-freedom myoelectric hand. Background technique [0002] Electromyography (EMG for short) is a bioelectrical signal accompanying muscle activity, which is the source of the electrical signal of muscle activity, which contains various information about muscle activity, including body movement patterns corresponding to muscle activity. Surface Electromyography (SEMG for short) is the combined effect of the EMG of the superficial muscles and the electrical activity of the nerve trunk on the skin surface. Because SEMG has non-invasive characteristics in measurement, it is painless and convenient for the individual being tested, and has been widely used in clinical medicine, sports medicine and many other fields...

AI Technical Summary

Problems solved by technology

After 2000, the recognition rate of multi-degree-of-freedom myoelectric prosthetic hand has reached more than 85%, but because there is still a certain rate of misrecognition, there is still a certain distance from practical use

Although this method can be used to realize the control of multi-free prosthetic limbs, it is not widely used in the market because of the disadvantages of inconvenient operation, lack of real-time performance and poor bionic performance.

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