During prolonged submaximal muscle contractions, electromyographic (EMG) signals
typically increase as a result of increasing motor unit activities to compensate for fatigue …

This article describes the combination of multivariate Granger causality analysis, temporal
down‐sampling of fMRI time series, and graph theoretic concepts for investigating causal …

A dynamical model is presented as a framework for muscle activation, fatigue, and recovery.
By describing the effects of muscle fatigue and recovery in terms of two phenomenological …

Electromyography (EMG) signals are gaining popularity to develop the prosthetics. In this
paper, an efficient multi-channel EMG signal acquisition system has been proposed for …

Muscle fatigue has been studied for over a century, but almost no data are available to
indicate how the brain perceives fatigue and modulates its signals to the fatiguing muscle. In …

Independent component analysis (ICA) is a data‐driven approach that has exhibited great
utility for functional magnetic resonance imaging (fMRI). Standard ICA implementations …

Coherence between electromyography (EMG) and electroencephalography (EEG) or
magnetoencephalography (MEG) is frequently examined to gain insights on neuromuscular …

Accumulating evidence suggests that the overall level of cortical activation controlling a
voluntary motor task that leads to significant muscle fatigue does not decrease as much as …

Fractal dimension (FD) has been proved useful in quantifying the complexity of dynamical
signals in biology and medicine. In this study, we measured FDs of human …

Animal studies have shown that there are cell populations only discharging phasically
before a motor task and others only active tonically during holding phase of the task. How …