TY - GEN
T1 - Towards improved myoelectric prosthesis control
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
AU - Ping, Zhou
AU - Lowery, Madeleine M.
AU - Dewald, Julius P.A.
AU - Kuiken, Todd A.
PY - 2005
Y1 - 2005
N2 - The control of shoulder disarticulation prostheses remains a challenging problem. Recently, a novel method, using targeted muscle reinnervation to develop additional myoelectric control sites, has Improved the control of myoelectric upper limb prosthesis In a patient with bilateral amputations at the shoulder disarticulation level [1]. Encouraged by this achievement, we recorded high density surface electromyogram (EMG) signals from the patient's reinnervated muscles as he actuated a variety of different movements. We believe that the reinnervated muscle activation patterns revealed by the high density EMG recording have the potential to further improve the myoelectric prosthesis control. As the Initial stage of the study, this paper presents the experiment of high density surface EMG recording, the preliminary EMG data analysis and the framework for future investigation with advanced feature extraction and pattern recognition techniques.
AB - The control of shoulder disarticulation prostheses remains a challenging problem. Recently, a novel method, using targeted muscle reinnervation to develop additional myoelectric control sites, has Improved the control of myoelectric upper limb prosthesis In a patient with bilateral amputations at the shoulder disarticulation level [1]. Encouraged by this achievement, we recorded high density surface electromyogram (EMG) signals from the patient's reinnervated muscles as he actuated a variety of different movements. We believe that the reinnervated muscle activation patterns revealed by the high density EMG recording have the potential to further improve the myoelectric prosthesis control. As the Initial stage of the study, this paper presents the experiment of high density surface EMG recording, the preliminary EMG data analysis and the framework for future investigation with advanced feature extraction and pattern recognition techniques.
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M3 - Conference contribution
AN - SCOPUS:33846908543
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 4064
EP - 4067
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -