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A randomisation method for discriminating between signal and noise recordings of rhythmic electromyographic activity
1Sherrington School of Physiology, UMDS (St Thomas's Hospital Campus), London, UK, a.thexton@umds.ac.uk
Journal of Neuroscience Methods
|June 1, 1996
Abstract:
A method is described which enables an amplitude threshold level to be derived from previously recorded rhythmic electromyographic activity, or from other rhythmic physiological data, so that the signal and noise components can be best separated. The method utilises randomisation of the original data and a non-parametric measure of the resultant information loss; this avoids any assumptions about the amplitude density function. The probability that the division into signal and noise is no better than chance may also be calculated.