Single-Trial EEG-EMG Coherence Analysis Reveals Muscle Fatigue-Related Progressive Alterations in Corticomuscular Coupling

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 18; no. 2; pp. 97 - 106
• Main Authors: Yang, Qi, Siemionow, Vlodek, Yao, Wanxiang, Sahgal, Vinod, Yue, Guang H.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; Cerebral Cortex - physiology; Coherence; Computer Simulation; Couplings; Data analysis; Data Interpretation, Statistical; electroencephalogram (EEG); Electroencephalography; Electroencephalography - statistics & numerical data; electromyogram (EMG); Electromyography; Electromyography - statistics & numerical data; Fatigue; Female; Fourier Analysis; Frequency; Hand Strength - physiology; Humans; Male; Muscle Fatigue - physiology; Muscle, Skeletal - physiology; Muscles; Muscular system; Wavelet transforms

Voluntary muscle fatigue is a progressive process. A recent study demonstrated muscle fatigue-induced weakening of functional corticomuscular coupling measured by coherence between the brain [electroencephalogram (EEG)] and muscle [electromyogram (EMG)] signals after a relatively long-duration muscl...