Myoelectric signal acquisition device and acquisition processing method thereof
An electromyographic signal acquisition and electromyographic signal technology, which is applied in the field of electromechanical signal acquisition devices and their acquisition and processing, can solve problems such as increased data processing difficulty, limited application occasions, large power frequency interference, etc., and achieves that it is difficult to collect environmental interference. , Low data processing difficulty, and the effect of avoiding interference
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specific Embodiment 1
[0044] Such as figure 1 The shown electromyographic signal acquisition device includes a body surface welt electrode for obtaining electromyographic signals, and a signal conditioning circuit for processing electromyographic signals; the signal conditioning circuit is connected to the MCU, and also includes a myoelectric signal conditioning circuit connected to the MCU. Signal storage unit; the electromyographic signal conditioning circuit includes a high-pass filter, an amplifier and a low-pass filter connected in sequence, and the collected electromyographic signal is sent to the MCU after high-pass filtering, amplification and low-pass filtering; the electrodes adopt Ag and / or AgCl surface electrodes, one electrode is composed of three Ag and / or AgCl electrodes parallel to each other, the middle electrode is the reference ground terminal, and the two on both sides form the differential input terminal.
[0045] In this specific embodiment, the amplifier adopts the amplifier ...
specific Embodiment 2
[0047] On the basis of the first embodiment, the power supply circuit is a battery power supply circuit. The battery power supply circuit is powered by a battery with stable and pure voltage. The interference easily introduced by external wires is avoided, so the common 50Hz notch filter can be omitted. Using a 50Hz notch filter has the disadvantage of eliminating part of the useful 50Hz signal.
specific Embodiment 3
[0048] On the basis of the specific embodiment 1 or 2, the MCU adopts a peripheral chip of the model MSP430F167, uses ADC12 to sample the electromyography signal, and performs filtering processing on the sampling result.
[0049] The MCU adopts MSP430F167, which has rich internal and external peripherals, including DMA, 12-bit AD module (ADC12), hardware multiplier (MPY), USART, 16-bit Timer and up to 48 I / O ports. In this device, the ADC12 is used to sample the electromyographic signal, and the sampling result is filtered to improve the accuracy of sampling; the use of DMA with ADC12 greatly improves the speed of reading AD sampling results; MPY greatly improves the data processing speed. In this specific embodiment, the device runs on an 8M clock, and the sampling frequency is set to 2000 Hz, which fully meets the sampling interval requirement.
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