NDLI: Decoding individuated finger flexions with Implantable MyoElectric Sensors

Content Provider	IEEE Xplore Digital Library
Author	Baker, Justin J. Yatsenko, Dimitri Schorsch, Jack F. DeMichele, Glenn A. Troyk, Phil R. Hutchinson, Douglas T. Weir, Richard F. ff. Clark, Gregory Greger, Bradley
Copyright Year	2008
Description	Author affiliation: Bioengineering Department at the University of Utah, Salt Lake City, 84112 USA (Clark, Gregory; Greger, Bradley) \|\| Biomedical Engineering at Illinois Institute of Technology, Chicago, 60616, USA (Troyk, Phil R.) \|\| University of Utah, Salt Lake City, 84112 USA (Baker, Justin J.; Hutchinson, Douglas T.) \|\| Sigenics Inc., Lincolnshire, IL, 60069 USA (DeMichele, Glenn A.) \|\| Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030 USA (Yatsenko, Dimitri) \|\| Rehabilitation Institute of Chicago, IL, 60611 USA (Schorsch, Jack F.; Weir, Richard F. ff.)
Abstract	We trained a rhesus monkey to perform randomly cued, individuated finger flexions of the thumb, index, and middle finger. Nine Implantable MyoElectric Sensors (IMES) were then surgically implanted into the finger muscles of the monkey's forearm, without any observable adverse chronic effects. Using an inductive link, we wirelessly recorded EMG from the IMES as the monkey performed a finger flexion task. A principal components analysis (PCA) based algorithm was used to decode which finger switch was pressed based on the recorded EMG. This algorithm correctly decoded which finger was moved 89% of the time. These results demonstrate that IMES offer a safe and highly promising approach for providing intuitive, dexterous control of artificial limbs and hands after amputation.
Starting Page	193
Ending Page	196
File Size	640343
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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