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.
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