Supporting data for "Personalized Electromyography Based Control Algorithm Development and Training System for Hand Prosthesis" for HKU Libraries

<p>  </p> <p>This dataset serves as the supporting data for thesis entitled “Personalized Electromyography Based Control Algorithm Development and Training System for Hand Prosthesis”.</p> <p>It contains 5 upper limb amputees’ surface EMG signal for developing their customized intelligent prosthesis. And it also contains 11 normally subjects’ handedness’ surface EMG signal for comparison. 21-channels’s surface EMG signal were collected from the amputees and normal subjects to build the neuromuscular model of the amputees’ residual limb and normal subjects. The signal was collected with a sampling rate of 1000Hz and saved in .npy format. Corresponding data pre-processing program was included in the folder for processing while detailed data processing procedure was described in the thesis.</p> <p>For the electrodes part, the Signal-to-Noise Ratio (SNR) were collected and compared in the 1_ subfolder.</p> <p>For the hardware part, the 3D printable material to build the EAM-based prosthesis hand was included in the 2_ subfolder for reference.</p> <p>For the proposed Shorted-Surface-Distance-Matrix(SSDM)’s detailed description and calculation were included in the 3-subfolder and the program to compare the SSDM’s effect were included in this folder for further analysis.</p> <p>Due to the privacy concern of the amputees and the signed consent form, some data were not included in the dataset, but will be provided upon reasonable request.</p>