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Pattern Recognition in Surface Electromyography
2015In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is
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Hand Motion Classification Using a Multi-Channel Surface Electromyography Sensor
Sensors, 2012Yunhui Liu, Xueyan Tang, Dong Sun
exaly
What do we learn from motor unit action potentials in surface electromyography?
Muscle and Nerve, 2002exaly
Surface electromyography in the assessment of jaw elevator muscles
Journal of Oral Rehabilitation, 2008exaly
Multi-Channel Surface Electromyography Electrodes: A Review
IEEE Sensors Journal, 2016Jeff Kilby +2 more
exaly
MicroElectrodes for High Density Surface Electromyography
2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)Brendan P. Beauchamp +2 more
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Motor unit potential contribution to surface electromyography
Acta Physiologica Scandinavica, 1997exaly
Surface electromyography patterns of epileptic seizures
Epileptic DisordersKaley J. Marcinski Nascimento +2 more
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