Advance in Rehabilitative Intuitive Robotics

This article presents a systematic review of up-to-date progress on upper limb and lower extremity exoskeletons and prosthetic devices intuitively controlled by electromyography (EMG) or electroencephalography (EEG) signals for paraplegic patients and amputees. Bio-electrical signal processing methods are introduced, including waveform recognition and template matching (WRTM), wavelet analysis, fast Fourier transform (FFT), static status evoked visual potential (SSEVP) methods. Progress in electrodes used as human machine interface (HMI) is introduced, including carbon nanotube multi-electrode array (CNT-MEA).