TY - JOUR AU - Wu, Hancong AU - Dupan, Sigrid AU - Nazarpour, Kianoush PY - 2020/07/23 Y2 - 2024/03/29 TI - Abstract Myoelectric Control with an Arduino-based System JF - Myoelectric Controls Symposium JA - MEC Symposium VL - IS - SE - Prosthetic Devices and Materials DO - UR - https://conferences.lib.unb.ca/index.php/mec/article/view/71 SP - AB - <p>This paper presents the design and evaluation of an Arduino-based system for electromyogram (EMG) signal measurement and prosthesis control with the abstract decoder. It achieves a 2 kHz sampling rate for two EMG channels, processes EMG signals on-the-fly and sends the prosthesis control command via a CAN bus. We tested the accuracy and responsiveness of the system in real-time by playing back previously recorded EMG signals through a Tip, Ring, and Sleeve (TRS) function generator. The correlation coefficients between the mean absolute value (MAV) of the original signals and the measured signals were above 97%.</p> ER -