Wavelet-based analysis of human blood-flow dynamics.

Abstract:

:To analyze signals measured from human blood flow in the time-frequency domain, we used the wavelet transform which gives good time resolution for high-frequency components and good frequency resolution for low-frequency components. Five characteristic frequency peaks, corresponding to five almost periodic rhythmic activities, were found on the time 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 between the groups of control subjects and athletes.

journal_name

Bull Math Biol

authors

Bracic M,Stefanovska A

doi

10.1006/bulm.1998.0047

subject

Has Abstract

pub_date

1998-09-01 00:00:00

pages

919-35

issue

5

eissn

0092-8240

issn

1522-9602

pii

S0092-8240(98)90047-7

journal_volume

60

pub_type

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