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Serge H. Roy
Researcher at Altec Lansing
Publications - 68
Citations - 6140
Serge H. Roy is an academic researcher from Altec Lansing. The author has contributed to research in topics: Electromyography & Isometric exercise. The author has an hindex of 34, co-authored 62 publications receiving 5342 citations. Previous affiliations of Serge H. Roy include Albany Medical College & Boston University.
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Filtering the surface EMG signal: Movement artifact and baseline noise contamination
TL;DR: The analysis established the relationship between the attenuation rates of the movement artifact and the sEMG signal as a function of the filter band pass, and a Butterworth filter with a corner frequency of 20 Hz and a slope of 12 dB/oct is recommended for general use.
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Lumbar Muscle Fatigue and Chronic Lower Back Pain
TL;DR: A Back Analysis System for objectively measuring local fatigue in the back extensor muscles is presented and the applicability of this technique as a treatment outcome measure and diagnostic screening method for lower back pain patients is discussed.
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Effects of muscle fiber type and size on EMG median frequency and conduction velocity
TL;DR: The results of this study suggest that MF and CV parameters recorded during a muscular contraction are related to muscle fiber type composition and muscle fiber CSA.
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pH-induced effects on median frequency and conduction velocity of the myoelectric signal
TL;DR: An in vitro method to externally manipulate muscle pH while measuring the resultant effect on surface-detected median frequency (MDF) and conduction velocity (CV) parameters suggests that the change in bath pH caused a decrease in CV without significantly altering the fundamental shape of the M wave.
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Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions
TL;DR: Results indicate that the variability of the instantaneous median frequency is related to the repeatability of the biomechanics of the exercise, and a novel approach is proposed for calculating spectral parameters from the surface myoelectric signal during cyclic dynamic contractions.