An adaptive scheme for the weighted-least-square (WLS) is proposed. Algorithm performance in individuating the tracking the modifications of the cardiac autonomic control is illustrated. To make data interpretation easier, the time-frequency distributions are displayed as spectrograms. Additionally, the signal speed variation is used to draw the attention of the physician to transient episodes
Evaluating time-varying heart-rate variability power spectral density / Cesarelli, Mario; Bifulco, Paolo; Bracale, M.. - In: IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE. - ISSN 0739-5175. - STAMPA. - 16:6(1997), pp. 76-79. [10.1109/51.637120]
Evaluating time-varying heart-rate variability power spectral density
CESARELLI, MARIO;BIFULCO, PAOLO;
1997
Abstract
An adaptive scheme for the weighted-least-square (WLS) is proposed. Algorithm performance in individuating the tracking the modifications of the cardiac autonomic control is illustrated. To make data interpretation easier, the time-frequency distributions are displayed as spectrograms. Additionally, the signal speed variation is used to draw the attention of the physician to transient episodesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
