Heairt Rate Variability Analysis Using Wavelet Transform

LUCAS GAMERO; MARCELO RISK; JAMIL SOBH; AGUSTÍN RAMIREZ; PHILIP SAUL

COMPUTERS IN CARDIOLOGY

IEEE

Lugar: New Jersey USA; Año: 1996 vol. 23 p. 177 - 180

0276-6574

A method to analyze heart rate variability (P-IRV) signals using the Wavelet transform is presented. The Wavelet transform analysis is an alternative tool for analysis of nonstationary signals whose spectral characteristics change over time. The design and implementation includes a specially adapted decomposition-reconstruction j2ter bank for the frequency bands of interest. A time-scale representation is obtained for the very low frequency (IVEF), low frequency (LF), medium frequency (MF), and high frequency (HF) bands. Results of the wavelet analysis are compare