A discrimination system using neural network for EMG-controlled prostheses-Integral type of EMG signal processing
Published: Dec 30, 2002
Abstract
The electromyographic (EMG) signal from active muscle is one of the most effective signals for controlling externally powered upper extremity prostheses. However, the EMG signal depends on physical condition, the state of mind, and so on, so it is difficult to use the original EMG signal to control an externally powered upper extremity prosthesis directly. A discriminating system using an integral type of EMG signal processing and a neural...
Paper Details
Title
A discrimination system using neural network for EMG-controlled prostheses-Integral type of EMG signal processing
Published Date
Dec 30, 2002
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