An upper limb rehabilitation system and method based on electromyographic signal and virtual reality interaction technology
A technology of virtual reality and electromyography, applied in the field of virtual reality interaction technology neurorehabilitation, can solve problems such as difficulty, lack of realism, and lack of system establishment, and achieve the effect of high initiative and convenience.
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Embodiment 1
[0046] Such as figure 1 , figure 2 As shown, the upper limb rehabilitation system of the present invention includes a myoelectric signal acquisition and processing part 101, a virtual reality human-computer interaction part 102, and a muscle function evaluation part 103; The processing module 105 and the model control module 106 are composed; the virtual reality human-computer interaction part is composed of a host computer virtual environment module 107 and a force feedback device module 108; the host computer virtual environment module includes a waveform display area, a virtual game scene area, and a recognition result Display area, evaluation indicator display area; the muscle function evaluation part is composed of muscle tension quantitative evaluation module 109 and muscle synergy quantitative evaluation module 110;
[0047] The signal acquisition end of the data acquisition module is connected to the electrode sheet, and the electrode sheet is connected to the upper ...
Embodiment 2
[0083] Figure 8 It is a flow chart of the control method of the upper limb rehabilitation system based on the interaction technology of myoelectric signal and virtual reality in the present invention.
[0084] The specific steps of the method are described in detail below in conjunction with the flow chart:
[0085] For the control method of the rehabilitation system described in embodiment 1:
[0086] (1) Obtain multi-channel surface EMG signals from the upper limb of the affected side of the patient through the data acquisition module. After amplification and filtering, A / D conversion is performed on the multi-channel EMG signals to obtain digital signals, and the multi-channel serial A / D signals are controlled by FPGA. The clock of the D device, the collected digital signal is sent to the DSP for signal preprocessing, the effective frequency band is extracted and the baseline drift and power frequency interference are removed to obtain a pure myoelectric signal;
[0087]...
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