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Methods Inf Med 1997; 36(04/05): 241-245
DOI: 10.1055/s-0038-1636880
Original Article
Schattauer GmbH

The Whale Forgetting Factor in Recursive AR Spectral Analysis of Heart Rate Variability Signals

A. M. Bianchi
1   laboratory of Biomedical Engineering, IRCCS H. S. Raffaele
,
L. T. Mainardi
2   Department of Biomedical Engineering, Polytechnic University, Milano, Italy
,
S. Cerutti
2   Department of Biomedical Engineering, Polytechnic University, Milano, Italy
› Author Affiliations
Further Information

Publication History

Publication Date:
19 February 2018 (online)

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Abstract:

Spectral parameters extracted from the heart rate variability signal are obtained on a beat-to-beat basis by means of autoregressive recursive identification. In this paper a whale forgetting window is introduced, instead of the classical exponential one, in order to reduce the noise influence on the estimated parameters. After proper simulation it was found that the whale forgetting window markedly reduces the noise in the identification, but maintains a good response to abrupt changes in the signal. The algorithm was thus applied to the analysis of the HRV data recorded during differenttransient situations in physiological and pathological conditions. The spectral parameters were obtained on a beat-to-beat basis and their trends were smoother and more accurate with respect to the traditional exponential window also in presence of noise or artifacts in the time series (sudden and short time changes, ectopic beats, etc.), without losing the signal variations of physiological interest.

Keywords:

Recursive Identification - Autoregressive Model - Heart Rate Variability
 

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