Myoelectricity artificial hand training and controlling system with multiple degree of freedom based on PC and DSP
A control system and PC technology, applied in prosthesis, medical science, artificial arm, etc., can solve the problems of long development cycle and no actual embedded application, etc., and achieve the effect of shortening the development cycle
Inactive Publication Date: 2010-06-02
HARBIN INST OF TECH
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[0004] The present invention provides a multi-degree-of-freedom myoelectric system based on PC and DSP to solve the problems that the electromyographic pattern recognition system established based on vector machines is still in the theoretical analysis stage of the laboratory, has a long development cycle, and has no actual embedded application. Prosthetic hand training and control system
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specific Embodiment approach 1
[0018] Specific implementation mode one: see Figure 1 ~ Figure 3 , this embodiment consists of the following units:
[0019] The electromyographic signal electrode 1 is used to send the collected electromyographic signal to the power supply adapter module 2 and the DSP target board 4;
[0020] The power supply adapter module 2 is used to supply power to the myoelectric signal electrode 1, and send the myoelectric signal from the myoelectric signal electrode 1 to the data acquisition card 3;
[0021] The data acquisition card 3 is used to collect the myoelectric signal of the power supply adapter module 2, and sends the collected myoelectric signal to the PC 5 through the PCI bus;
[0022] The DSP target board 4 is used to convert the myoelectric signal from the myoelectric signal electrode 1 into a myoelectric digital signal and carry out myoelectric pattern recognition, and send the pattern recognition result to the PC 5;
[0023] PC 5, used to receive the myoelectric sign...
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The invention discloses a multi-freedom myoelectric prosthetic hand training and controlling system based on a PC and a DSP, relates to a device which executes the myoelectric signal training and theon-line identification platform research controlled by a prosthetic hand and is realized in an embedding manner, and solves the problem that a myoelectric pattern recognition system which is set up based on a vector machine stays in the theoretical analysis stage in a lab and is not applied in an embedding manner practically. A display control module is used for drawing and outputting a myoelectric signal which is obtained from a data acquisition card in a real-time manner, receiving a pattern recognition result which is obtained from a SVM pattern recognition module, and displaying the statethat the myoelectric signal controls the myoelectric prosthetic hand; a SVM training module is used for training myoelectric signal data in various modes; a SVM pattern recognition module is used foridentifying the myoelectric signal which is collected by a DSP target board; the display control module and the SVM training module run in an operating system of the PC. The multi-freedom myoelectricprosthetic hand training and controlling system sets up a myoelectric prosthetic hand training and controlling platform based on the combination of the PC and the DSP, and provides a valuation verification device which is realized in an embedding manner for the identification of the multimodal myoelectric signal.
Description
technical field [0001] The invention relates to a device for myoelectric signal training controlled by a prosthetic hand, research on an online recognition platform and embedded implementation, and belongs to the related fields of biological information recognition and control. Background technique [0002] Myoelectric prosthetic hand is an interface that re-establishes the operable connection between human and the external environment. It collects the electromyography (EMG) signal at the human arm as the control source, and after analysis, processing and pattern recognition, it is used to control the finger to complete Some basic operations. The advantages of this myoelectric prosthetic hand based on biological signal control strategy are obvious, because it reuses the characteristics of human neuromuscular electrical conduction and outputs it to the external environment, which is quite beneficial to the neurological rehabilitation of disabled people. [0003] However, som...
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IPC IPC(8): A61F2/72A61F2/54
Inventor 赵京东姜力杨大鹏刘宏
Owner HARBIN INST OF TECH