MATHEMATICAL MODEL OF THE VARIABILITY OF THE ELECTRICAL ACTIVITY PARAMETERS OF BIOMEDICAL SIGNALS

Biomedical signals such as electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG) are invaluable sources of information for healthcare and research. Variability within these signals holds rich insights into the functioning of physiological systems. This paper covers the development of mathematical models to understand and exploit the intrinsic variability of electrical activity parameters in biomedical signals