NDLI: Extracting information from myoelectric signals

Content Provider	IEEE Xplore Digital Library
Author	Fanta, K. Pierce, S.
Copyright Year	2015
Abstract	Currently available upper-limb, myoelectric prostheses usually accomplish gesture differentiation by analyzing myoelectric signals from multiple pairs of surface electrodes distributed over the user's upper body. Another common control method is to use a single pair of surface electrodes but to enlist an application on a mobile device for specific gesture and grip settings. Both of these approaches limit the accessibility of the finished product because of their high cost and complexity. In our research, we attempt to increase the usability of myoelectric prostheses by increasing the amount of information that is extracted from the signal captured by a single pair of surface electrodes. We have designed and constructed an experimental apparatus that allows us to extract time and frequency domain content from myoelectric signals. Using this apparatus, we analyzed signals that were generated on the user's forearm when a series of different hand gripping forces were applied. We also analyzed the signals that were generated when an array of different hand gestures were performed. Our results suggest that it is feasible to differentiate between gripping forces using a simple and rapid signal analysis but that such an analysis cannot be used to differentiate between different hand gestures. Future work will explore the use of more advanced signal analysis techniques to perform gesture differentiation.
Starting Page	29
Ending Page	34
File Size	1124694
Page Count	6
File Format	PDF
e-ISBN	9781479918324
DOI	10.1109/SIEDS.2015.7116992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Force Pain Time-domain analysis Phantoms Force control Oscilloscopes prosthetics force control gesture differentiation myoelectrics Phantom Limb Pain
Content Type	Text
Resource Type	Article

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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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