title: Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition.
abstract: 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.
authors.forename: Shannon
authors.initials: S
authors.lastname: Brown
authors.forename: Max
authors.initials: M
authors.lastname: Ortiz-Catalan
authors.forename: Joel
authors.initials: J
authors.lastname: Petersson
authors.forename: Kristian
authors.initials: K
authors.lastname: Rodby
authors.forename: Fernando
authors.initials: F
authors.lastname: Seoane
mesh_terms: D004566:Electrodes; D004576:Electromyography / Q000295:instrumentation*; D006801:Humans; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D059629:Signal-To-Noise Ratio; D018030:Silver Compounds; D013784:Textiles
chemical_list: D018030:Silver Compounds; C037548:silver chloride