Low-cost wireless surface EMG sensor using the MSP430 microcontroller
Beneteau, Armand and Di Caterina, Gaetano and Petropoulakis, Lykourgos and Soraghan, John; (2014) Low-cost wireless surface EMG sensor using the MSP430 microcontroller. In: 6th European Embedded Design in Education and Research Conference (EDERC), Milano, Italy, 2014. IEEE, Piscataway, NJ, pp. 264-268. ISBN 9781479968411 (https://doi.org/10.1109/EDERC.2014.6924401)
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Abstract
Electromyography is the study of the voltage polarisation signals generated during body muscle contractions. Surface EMG is non-invasive and is ideal for applications such as training, rehabilitation and active prosthesis control. Despite the progress in technology, myoelectric prostheses currently on the market still adopt simple analog sensors. Digital EMG acquisition is now common practice in research and academic institutions, but it involves fairly expensive pieces of equipment. This paper describes the implementation of a low-cost wireless surface EMG digital sensor based on the MSP430 microcontroller from Texas Instruments. The proposed acquisition system fully exploits the capabilities of the eZ430-RF2500 Development Tool to digitise surface EMG signals, transmit them wirelessly between nodes and finally read them into a PC for further processing. Experimental results demonstrate the effectiveness of the proposed system in acquiring sEMG signals for pattern recognition and real-time control.
ORCID iDs
Beneteau, Armand, Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897, Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670 and Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Book Section ID code: 50788 Dates: DateEvent12 September 2014PublishedNotes: (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 Dec 2014 12:01 Last modified: 27 Nov 2024 01:27 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/50788