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Intarsia-sensorized...
Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
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Brown, Shannon (author)
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- Ortiz Catalan, Max Jair, 1982 (author)
- Chalmers University of Technology,Chalmers tekniska högskola
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- Petersson, Joel (author)
- Högskolan i Borås,Akademin för textil, teknik och ekonomi,University of Borås
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- Rödby, Kristian (author)
- Högskolan i Borås,Akademin för textil, teknik och ekonomi,University of Borås
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- Seoane, Fernando, 1976- (author)
- KTH,Högskolan i Borås,Akademin för textil, teknik och ekonomi,KTH-School of Technology and Health,Data- och elektroteknik,University of Borås, Sweden,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Brown, Stephen H. (author)
- Högskolan i Borås,University of Borås
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(creator_code:org_t)
- ISBN 9781457702204
- Institute of Electrical and Electronics Engineers (IEEE), 2016
- 2016
- English.
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In: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. - : Institute of Electrical and Electronics Engineers (IEEE). - 1557-170X. - 9781457702204 ; , s. 6074-6077
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes. After a comprehending measurement and performance comparison of the sEMG recordings, no significant differences were found between the textile and the Ag-AgCl electrodes in SNR and prediction accuracy obtained from pattern recognition classifiers.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Annan medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Other Medical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
Keyword
- Electrodes
- Real-time systems
- Pattern recognition
- Signal to noise ratio
- Electromyography
- Fabrics
- Applied Medical Technology
- Tillämpad medicinsk teknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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