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Rödby, Kristian
Publikasjoner (5 av 5) Visa alla publikasjoner
Brown, S., Ortiz-Catalan, M., Petersson, J., Rödby, K. & Seoane, F. (2016). Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition. In: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the: . Paper presented at IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, August 17-20, 2016 (pp. 6074-6077). Institute of Electrical and Electronics Engineers (IEEE)
Åpne denne publikasjonen i ny fane eller vindu >>Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
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2016 (engelsk)Inngår i: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, Institute of Electrical and Electronics Engineers (IEEE) , 2016, s. 6074-6077Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2016
Emneord
Electrodes, Real-time systems, Pattern recognition, Signal to noise ratio, Electromyography, Fabrics
HSV kategori
Forskningsprogram
Tillämpad medicinsk teknik
Identifikatorer
urn:nbn:se:hb:diva-11671 (URN)10.1109/EMBC.2016.7592114 (DOI)000399823506105 ()2-s2.0-85009089616 (Scopus ID)978-1-4577-0220-4 (ISBN)
Konferanse
IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, August 17-20, 2016
Prosjekter
Elektrodress. Seamless Textile Electronic Integration KKS
Forskningsfinansiär
Knowledge Foundation, 20110136]
Tilgjengelig fra: 2017-01-08 Laget: 2017-01-08 Sist oppdatert: 2018-11-30bibliografisk kontrollert
Brown, S., Ortiz-Catalan, M., Petersson, J., Rödby, K. & Seoane, F. (2016). Intarsia-Sensorized Band and Textrodes for the Acquisition of Myoelectric Signals. In: The Second International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems: . Paper presented at The Second International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, Valencia, May 22-26, 2016 (pp. 14-19). International Academy, Research and Industry Association (IARIA), Article ID 2_10_80013.
Åpne denne publikasjonen i ny fane eller vindu >>Intarsia-Sensorized Band and Textrodes for the Acquisition of Myoelectric Signals
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2016 (engelsk)Inngår i: The Second International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, International Academy, Research and Industry Association (IARIA) , 2016, s. 14-19, artikkel-id 2_10_80013Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation, and has been an increasing area of study. This study attempts to use a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques to evaluate the quality of sEMG acquired by knitted textile electrodes. 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. Overall no significant differences were found between the textile and the Ag-AgCl electrodes in SNR and prediction accuracy obtained from pattern recognition classifiers. On average the textile electrodes produced a high prediction accuracy, >97% across all movements, which is equivalent to the accuracy obtained with conventional gel electrodes (Ag-AgCl). Furthermore the SNR for the Maximum Voluntary Contraction did not differ considerably between the textile and the Ag-AgCl electrodes.

sted, utgiver, år, opplag, sider
International Academy, Research and Industry Association (IARIA), 2016
Emneord
Textrodes, Smart Textiles, Pattern Recognition, Intarsia
HSV kategori
Identifikatorer
urn:nbn:se:hb:diva-11672 (URN)978-1-61208-480-0 (ISBN)
Konferanse
The Second International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, Valencia, May 22-26, 2016
Forskningsfinansiär
Knowledge Foundation, 20110136]
Tilgjengelig fra: 2017-01-08 Laget: 2017-01-08 Sist oppdatert: 2017-01-09bibliografisk kontrollert
Abtahi, F., Lu, K., Guangchao, L., Rödby, K. & Seoane, F. (2015). A Knitted Garment using Intarsia Technique for Heart Rate Variability Biofeedback: Evaluation of Initial Prototype.. In: : . Paper presented at Annual I-Pack KTH-VINNOVA Excellence Center Workshop.
Åpne denne publikasjonen i ny fane eller vindu >>A Knitted Garment using Intarsia Technique for Heart Rate Variability Biofeedback: Evaluation of Initial Prototype.
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2015 (engelsk)Konferansepaper, Poster (with or without abstract) (Annet vitenskapelig)
Emneord
Intarsia, textile-electronic integration
HSV kategori
Forskningsprogram
Människan i vården
Identifikatorer
urn:nbn:se:hb:diva-8765 (URN)
Konferanse
Annual I-Pack KTH-VINNOVA Excellence Center Workshop
Tilgjengelig fra: 2016-02-03 Laget: 2016-02-03 Sist oppdatert: 2017-05-04bibliografisk kontrollert
Abtahi, F., Ji, G., Lu, K., Rödby, K. & Seoane, F. (2015). A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype. In: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): . Paper presented at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, August 25-29, 2015. (pp. 3121-3124).
Åpne denne publikasjonen i ny fane eller vindu >>A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype
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2015 (engelsk)Inngår i: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, s. 3121-3124Konferansepaper, Publicerat paper (Fagfellevurdert)
HSV kategori
Identifikatorer
urn:nbn:se:hb:diva-8556 (URN)10.1109/EMBC.2015.7319053 (DOI)000371717203100 ()26736953 (PubMedID)2-s2.0-84953238768 (Scopus ID)
Konferanse
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, August 25-29, 2015.
Tilgjengelig fra: 2016-01-14 Laget: 2016-01-14 Sist oppdatert: 2018-12-07bibliografisk kontrollert
Abtahi, F., Ji, G., Lu, K., Rödby, K., Björlin, A., Östlund, A., . . . Lindecrantz, K. (2015). Textile-Electronic Integration in Wearable Measurement Garments for Pervasive Healthcare Monitoring. In: : . Paper presented at Annual I-Pack KTH- VINNOVA Excellence Center Workshop.
Åpne denne publikasjonen i ny fane eller vindu >>Textile-Electronic Integration in Wearable Measurement Garments for Pervasive Healthcare Monitoring
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2015 (engelsk)Konferansepaper, Poster (with or without abstract) (Annet vitenskapelig)
Emneord
Intarsia, Textile-electronic integration Wearable measurements systems
HSV kategori
Forskningsprogram
Människan i vården
Identifikatorer
urn:nbn:se:hb:diva-8766 (URN)
Konferanse
Annual I-Pack KTH- VINNOVA Excellence Center Workshop
Tilgjengelig fra: 2016-01-14 Laget: 2016-02-03 Sist oppdatert: 2018-04-24bibliografisk kontrollert
Organisasjoner