Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
2016 (English)In: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, Institute of Electrical and Electronics Engineers (IEEE) , 2016, 6074-6077 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2016. 6074-6077 p.
Electrodes, Real-time systems, Pattern recognition, Signal to noise ratio, Electromyography, Fabrics
Research subject Applied Medical Technology
IdentifiersURN: urn:nbn:se:hb:diva-11671DOI: 10.1109/EMBC.2016.7592114ISBN: 978-1-4577-0220-4 (print)OAI: oai:DiVA.org:hb-11671DiVA: diva2:1062797
IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, August 17-20, 2016
ProjectsElektrodress. Seamless Textile Electronic Integration KKS
FunderKnowledge Foundation, 20110136]