Projects per year
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%.
|Title of host publication||MEC20 Symposium Proceedings|
|Number of pages||4|
|Publication status||Published - 23 Jul 2020|
|Event||Myoelectric Controls Symposium 2020 - Fredericton, Canada|
Duration: 10 Aug 2020 → 13 Aug 2020
|Symposium||Myoelectric Controls Symposium 2020|
|Abbreviated title||MEC 2020|
|Period||10/08/20 → 13/08/20|
FingerprintDive into the research topics of 'Abstract Myoelectric Control with an Arduino-based System'. Together they form a unique fingerprint.
- 1 Finished
Sensorimotor learning for control of prosthetic limbs
1/02/18 → 31/01/23