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This paper focusses on the accurate estimation of the Mean Frequency of surface electromyogram (EMG) signals during voluntary isometric contractions. This particular type of analysis is commonly used by kinesiologists to gain important information relating to muscle fatigue. These EMG signals are typically processed to extract theMean Frequency (MNF) and studies often follow how these parameters evolve...
The study explored event-related perturbation in spectral power and in potentials during periodic fast and slow motor imagination of left and right index finger and right toe based on EEG. EEG signals were collected from 4 healthy volunteers during imagination of six tasks that involved three limbs (left and right index fingers and right toes ) and two speeds (fast and slow) and each task repeated...
Frequency domain analyses of changes in electromyographic (EMG) signals over time are frequently used to assess muscle fatigue. Fourier based approaches are typically used in these analyses, yet Fourier analysis assumes signal stationarity, which is unlikely during dynamic contractions. Wavelet based methods of signal analysis do not assume stationarity and may be more appropriate for joint time-frequency...
Electroenterogram (EEnG) is the myoelectrical signal of the small bowel. It is the result of a permanent slow wave (low frequency component) and series of spike bursts (high frequency component) that are only present when a bowel contraction occurs. This means spectral content of EEnG changes throughout time. The definition of a t-f distribution that adapts to changes in EEnG spectrum could be very...
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