TY - GEN
T1 - Noise cancellation for electrotactile sensory feedback of myoelectric forearm prostheses
AU - Jiang, Li
AU - Huang, Qi
AU - Zhao, Jingdong
AU - Yang, Dapeng
AU - Fan, Shaowei
AU - Liu, Hong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/21
Y1 - 2014/10/21
N2 - For achieving a closed-loop, bidirectional control over myoelectric prosthetic hands, adopting the electrical stimulation in the sensory feedback channel for providing electrotactile substitution is currently a big trend. However, the electrical pulses used for stimulation may spread to the EMG collection sites which significantly interferes the controlling stability. In this paper, a novel noise cancellation method is proposed to suppress the interference between the electrotactile feedback subsystem and the electromyographic collection subsystem. Based on the propagation model of the stimulation noise, this method integrates the optimization of the stimulation waveform, the special design of the stimulation electrode and the advanced technique of digital signal processing. Experiments on healthy subjects are conducted to verify the feasibility of the proposed method. Primary results show that, through the method, the signal to noise rate (SNR) of the EMG signals reaches to 43dB, without frequency or time multiplexing.
AB - For achieving a closed-loop, bidirectional control over myoelectric prosthetic hands, adopting the electrical stimulation in the sensory feedback channel for providing electrotactile substitution is currently a big trend. However, the electrical pulses used for stimulation may spread to the EMG collection sites which significantly interferes the controlling stability. In this paper, a novel noise cancellation method is proposed to suppress the interference between the electrotactile feedback subsystem and the electromyographic collection subsystem. Based on the propagation model of the stimulation noise, this method integrates the optimization of the stimulation waveform, the special design of the stimulation electrode and the advanced technique of digital signal processing. Experiments on healthy subjects are conducted to verify the feasibility of the proposed method. Primary results show that, through the method, the signal to noise rate (SNR) of the EMG signals reaches to 43dB, without frequency or time multiplexing.
KW - bidirectional control interface
KW - electrotactile sensory feedback
KW - myoelectric forearm prostheses
UR - https://www.scopus.com/pages/publications/84914133321
U2 - 10.1109/ICInfA.2014.6932807
DO - 10.1109/ICInfA.2014.6932807
M3 - 会议稿件
AN - SCOPUS:84914133321
T3 - 2014 IEEE International Conference on Information and Automation, ICIA 2014
SP - 1066
EP - 1071
BT - 2014 IEEE International Conference on Information and Automation, ICIA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Information and Automation, ICIA 2014
Y2 - 28 July 2014 through 30 July 2014
ER -