A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns

To wavelet transform the electromyograms of the vastii muscles and generate wavelet intensity patterns (WIP) of runners. Test the hypotheses: 1) The WIP of the vastus medialis (VM) and vastus lateralis (VL) of one step are more similar than the WIPs of these two muscles, offset by one step. 2) The W...

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Veröffentlicht in:	PloS one 2018-04, Vol.13 (4), p.e0195125-e0195125
Hauptverfasser:	von Tscharner, Vinzenz, Ullrich, Martin, Mohr, Maurice, Comaduran Marquez, Daniel, Nigg, Benno M
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Analysis Athletes Biology and Life Sciences Cluster Analysis Correlation Correlation analysis Diabetes Electromyography Electrophysiology EMG Engineering and Technology Frequencies Frequency analysis Human performance Humans Hypotheses Kinesiology Laboratories Leg muscles Male Medicine and Health Sciences Muscle contraction Muscle Contraction - physiology Muscle function Muscle, Skeletal - physiology Muscles Physical Sciences Physiological aspects Physiological research Physiology Principal components analysis Research and Analysis Methods Runners (Sports) Running Signal processing Time-frequency analysis Walking Wavelet analysis Wavelet transforms Young Adult
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