Projects:2017s1-158 Electromyographic Signal Processing for Controlling an Exoskeleton

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The project is to design a feasible and efficient algorithm to process the EMG signal which is extracted on the body surface of lower limbs, thereby controlling the exoskeleton.surface electrodes and a MyoWare Muscle Sensor are selected to pick up the EMG signal, and an Arduino 2560 Mega board is used to convert the analog signal to digital signal. We use the Zigbee module to obtain the digital EMG signal on PC and after that Matlab is used to do the FFT to the signal. Some features, such as peak value are extracted from the spectrogram and selected by Genetic Algorithm. Finally, ANN is used to classify the features to different motion patterns.

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