Kurtosis is defined as (11) k = E x − μ 4 σ 4. The literature reports that median frequency, sample entropy, and root mean square have the most potential to discriminate between seizure and nonseizure records.
The relation was studied over the full range isometric force (10 100% of maximum force in 10% increments, 3 s duration) by analysing root mean square (RMS), median frequency (Mf) of the power spectrum and non-linear recurrence quantification analysis (percentage of determinism: %DET) of the surface EMG signals.
The median frequency (MDF), mean power frequency (MNF), and root mean square (RMS) amplitude of electromyographic signals during the 90 second sustained lumbar muscle contraction were analyzed.
The root mean square (RMS) and median frequency (MDF) of the SEMG signal were measured throughout the test.
Various features of sEMG such as root mean square (RMS) [ 6], median frequency [ 7], wavelet transforms [ 8, 9], fractal dimension [ 10, 11], normalized spectral moments [ 12, 13], and increase in synchronization (IIS) index [ 14] have been related to parameters of muscle contraction such as force and muscle fatigue.
The rate of decline of median frequency (MedF) with time and the concomitant rate of increase in EMG amplitude (root mean square: RMS) with time were calculated to confirm that lumbar muscular fatigue was induced correctly[ 18, 19].
Multifidi muscles median frequency before and after spinal stabilization exercises.
The mean median frequency (MF), mean power frequency (MPF), peak power and total power were analyzed.
The rate of decline of the median frequency for different trunk muscles were different (p<0.01).
Results: Trunk muscles' median frequency signals decreased and their total power increased as contraction time increased.
