WAVELET-BASED ANALYSIS OF HUMAN BLOOD-FLOW DYNAMICS

To analyze signals measured from human blood flow in the time-frequenc y domain, we used the wavelet transform which gives good time resoluti on for high-frequency components and good frequency resolution for low -frequency components. Five characteristic frequency peaks, correspond ing to five almost periodic rhythmic activities, were found on the tim e scale of minutes. These oscillations were characterized by time and spatial invariant measures. The potential of this approach in studying the blood-flow dynamics was illustrated by revealing differences betw een the groups of control subjects and athletes. (C) 1998 Society for Mathematical Biology.