EMG-force estimation for multiple fingers

• Published in: 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) pp. 1 - 6
• Main Authors: Pu Liu, Brown, Donald R., Clancy, Edward A., Martel, Francois, Rancourt, Denis
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-12-2013
• Subjects: Accuracy; Biological system modeling; biomedical signal processing; Electrodes; Electromyography; EMG signal processing; Force; MONOS devices; Muscles; Training
• DOI: 10.1109/SPMB.2013.6736772

Electromyogram (EMG) activity from the extensor and flexor muscles of the forearm was sensed with high-density surface electrode arrays and related to the force produced at the four fingertips during constant-posture, slowly force-varying contractions from three healthy subjects. Various electrode montages (spatial filters) and number of electrodes used in the system identification were studied. Average errors were small, ranging from 4.21 to 8.10 %MVC F (flexion maximum voluntary contraction), with errors trending lower when more EMG channels were used and when a monopolar electrode montage was selected. Results are supportive that multiple degrees of freedom of proportional control information are available from the surface EMG of the forearm, at least in intact subjects. Applications for future study include the control of prosthetic upper limb devices in amputees.