Detection of delay time between the alterations of cardiac rhythm and periodic breathing

A. FIGLIOLA; O. A. ROSSO; E. SERRANO

PHYSICA A - STATISTICAL AND THEORETICAL PHYSICS

Elsevier Science

Año: 2003 vol. 327 p. 174 - 179

0378-4371

Analysis oftime-series multichannel physiological data were performed using wavelets. Wavelet provides a time-scale description and lead us to decompose any signal into frequency bands. A better precision in the frequency domain is often necessary to detect stationary phenomena or characterize time–frequency structures. A natural idea is to combine wavelet analysis with local Fourier analysis using an appropriate strategy: the wave packets. In this paper, we apply trigonometric wave packets to determine the time lag between the start ofthe apneas in the breathing and the consistent disorder in the cardiac rhythm. We show that breathing dynamic drives the evolution ofthe cardiac rhythm wave packets. In this paper, we apply trigonometric wave packets to determine the time lag between the start ofthe apneas in the breathing and the consistent disorder in the cardiac rhythm. We show that breathing dynamic drives the evolution ofthe cardiac rhythm. wave packets. In this paper, we apply trigonometric wave packets to determine the time lag between the start ofthe apneas in the breathing and the consistent disorder in the cardiac rhythm. We show that breathing dynamic drives the evolution ofthe cardiac rhythm.