2010 · 23 citations · 2 references
EngineeringBiomedical EngineeringPhysiologyBioinstrumentationErgonomicsPhysical ActivityElectromyogram AnalysisFatigueMuscle Signal ProcessingElectromyographyElectromyography Feature ExtractionElectromyography Signal AcquisitionFrequency Spectrum AnalysisMuscle ContractionMuscle FatigueMuscle Fatigue AnalysisMuscular Fatigue Assessment
The muscle is moved by muscle fiber contraction receiving command from the brain. But, energy that moves muscle is not infinity. If muscle get into energy shortage, no matter how send command from the brain, muscle is not moved. Such a temporary muscular dysfunction is muscle fatigue. If muscle becomes excess fatigue condition, it may decrease work efficiency, or muscle strain. If we are able to measure muscle fatigue objectively, improve work efficiency, or avert muscle strain. Therefore, it is necessity to measure muscle fatigue. It is able to objectively measure with a surface electromyogram (EMG). The feature of muscle fatigue are increase in amplitude and make the transition from high frequency spectrum to low frequency spectrum. We evaluate muscle fatigue Mean Power Frequency (MPF). to evaluates frequency of surface EMG. We assume muscle recovery process is converse phenomenon from muscle fatigue, and it is able to evaluate elevated MPF. The purpose of the present study is to design of system that effective training, or improve work efficiency, or avert muscle strain uses feature of muscular fatigue and muscle recovery process.
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Roberto Merletti, L.R. Lo Conte, Claudio Orizio · Journal of Electromyography and Kinesiology · 1991 · 221 citations
Amelia Hummel, Thomas Läubli, Marco Pozzo et al. · European Journal of Applied Physiology · 2005 · 95 citations · Full text