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Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels.

Autor: Raghu STP; Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada. Electronic address: stallam@unb.ca., MacIsaac DT; Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada., Scheme EJ; Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Dec 04; Vol. 185, pp. 109479. Date of Electronic Publication: 2024 Dec 04.

Repeatability of surface EMG-based single parameter muscle fatigue assessment strategies in static and cyclic contractions.

Autor: Zaman SA; Department of Electrical and Computer Engineering, Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B5A3, Canada. sabeer.zaman@unb.ca, Macisaac DT, Parker PA

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2011; Vol. 2011, pp. 3857-60.

Influences of dynamic factors on myoelectric parameters.

Autor: MacIsaac DT; Institute of Biomedical Engineering, Department of Electrical Engineering, University of New Brunswick. dmacisaac@unb.ca, Parker PA, Scott RN, Englehart KB, Duffley C

Publikováno v: IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society [IEEE Eng Med Biol Mag] 2001 Nov-Dec; Vol. 20 (6), pp. 82-9.