Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
Paper i proceeding, 2016

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.


Stephen H. Brown

Högskolan i Borås

Max Jair Ortiz Catalan

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

J. Petersson

Högskolan i Borås

K. Rodby

Högskolan i Borås

Fernando Seoane Martinez

Kungliga Tekniska Högskolan (KTH)

Högskolan i Borås

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

1557170X (ISSN)

Vol. 2016-October 6074-6077 7592114
978-1-4577-0220-4 (ISBN)


Medicinsk laboratorie- och mätteknik





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