Feedback type human body prosthesis control method and system

Abstract

The invention discloses a feedback type human body prosthesis control method and system. The method comprises the following steps: acquiring an electroencephalogram signal of a user; pre-processing the electroencephalogram signal; carrying out separation, characteristic extraction and pattern recognition on the pre-processed electroencephalogram signal; driving a prosthesis to do corresponding actions by utilizing an recognition result; acquiring a feedback signal of whether the prosthesis does the corresponding actions or not; when the prosthesis does not do the corresponding actions, controlling the prosthesis to do the corresponding actions again, so as to realize closed-loop regulation according to a result of whether the prosthesis responds or not. Therefore, the error rate of disabled people in a prosthesis utilization process is reduced and the aim of accurate operation is realized.

Description

technical field [0001] The invention belongs to the technical field of medical devices, in particular to a feedback type human prosthesis control method and system. Background technique [0002] At present, there are four ways to control the electric prosthesis for the handicapped. The first is to use the micro button switch to control the forward and reverse of the motor. The number of buttons is too large, which makes the operation inconvenient; the second is to use the myoelectric control circuit. Detect the bioelectric signal (myoelectric signal) generated by the muscle contraction of the amputee, and control the motor action after processing. This control method requires the muscles and nerves of the residual limb to be basically intact. Even so, the analysis of the myoelectric signal is still difficult. Prosthetics can only help the disabled to complete some simple and rough large-scale movements, but they are helpless for a large number of fine movements in daily life...

AI Technical Summary

Problems solved by technology

[0002] At present, there are four ways to control the electric prosthesis for the handicapped. The first is to use the micro button switch to control the forward and reverse of the motor. The number of buttons is too large, which makes the operation inconvenient; the second is to use the myoelectric control circuit. Detect the bioelectric signal (myoelectric signal) generated by the muscle contraction of the amputee, and control the motor action after processing. This control method requires the muscles and nerves of the residual limb to be basically intact. Even so, the analysis of the myoelectric signal is still difficult. Prosthetics can only help the disabled to complete some simple and rough large-scale movements, but they are helpless for a large number of fine movements in daily life. Their reliability is low and their cost is high. Larger, higher energy consumption and higher cost; the fourth is the method of human brain control machinery, using human brain thinking to control mechanical prosthetics, using human brain thinking to control computer technology, using layer EEG scanning technology to scan the human brain , and then convert the scanned information into physical movements of the hands or legs. This type of prosthetic control system involving EEG signals is more flexible and diverse, and the operation is more precise.

However, an important defect of this type of equipment is that it adopts an open-loop control method. When the disabled use this type of prosthesis, it cannot guarantee that the processor installed in the prosthesis can respond after receiving every signal sent. result in imprecise operation

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