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Intelligent artificial limb based on double-arm electromyogram and attitude information acquisition and motion classifying method

A technology of electromyographic signal acquisition and intelligent prosthesis, which can be applied in prosthesis, medical science, sensors, etc., and can solve problems such as unsatisfactory effect.

Active Publication Date: 2015-11-04
SHENYANG POLYTECHNIC UNIV
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  • Intelligent artificial limb based on double-arm electromyogram and attitude information acquisition and motion classifying method
  • Intelligent artificial limb based on double-arm electromyogram and attitude information acquisition and motion classifying method
  • Intelligent artificial limb based on double-arm electromyogram and attitude information acquisition and motion classifying method

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[0030] like figure 1 As shown, the present invention provides an intelligent prosthesis based on the collection of arm myoelectricity and attitude information. The prosthesis includes a surface myoelectric signal acquisition module, a myoelectric signal processing module, an action pattern recognition module, a pattern matching module and a prosthetic action execution module. The surface electromyographic signal acquisition module is connected to the electromyographic signal processing module, the electromyographic signal processing module is connected to the action pattern recognition module, the action pattern recognition module is connected to the pattern matching module, and the pattern matching module is connected to the prosthetic action execution module. The electromyographic signal acquisition collects surface electromyographic signals at the normal arm and the injured arm of the patient respectively. The EMG signal processing module denoises the collected EMG signal ...

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Abstract

An intelligent artificial limb based on double-arm electromyogram and attitude information acquisition comprises a surface electromyogram signal acquisition module, an electromyogram signal processing module, an action mode recognition module, a mode matching module and an artificial limb action executing module. The surface electromyogram signal acquisition module is connected with the electromyogram signal processing module, the electromyogram signal processing module is connected with the action mode recognition module, the action mode recognition module is connected with the mode matching module, and the mode matching module is connected with the artificial limb action executing module. Analyzed and introduced healthy hand postures and electrical signals are utilized to classify motions of the intelligent artificial limb in a refined mode, and enable the intelligent artificial limb to be capable of achieving more motion modes and achieving various motion functions of arms.

Description

technical field [0001] The invention belongs to the technical field of myoelectric prosthesis intelligent control, and relates to an intelligent prosthesis and a motion classification method based on the collection of double-arm myoelectricity and posture information. Background technique [0002] Millions of people have lost arms due to acquired amputations or congenital limb defects. In order to improve their quality of life, smart prosthetics can be used to replace cosmetic gloves and prosthetic hands to realize the original arm functions and assist in daily activities. [0003] Muscle electrical signals reflect people's movement intentions. When the human body performs corresponding actions, the brain will give instructions to the corresponding muscles through the nervous system. Even if a limb is lost, the corresponding nerve pathways will also transmit electrical signals, reflecting the current intention of the person. For example, in patients who have lost their for...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61F2/72A61F2/62A61F2/56A61B5/0488
Inventor 白殿春杨俊友苏笑滢横井浩史孙柏青姜银来杨光张守先张家晋
Owner SHENYANG POLYTECHNIC UNIV
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