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Methods Inf Med 1994; 33(01): 85-88
DOI: 10.1055/s-0038-1634983
Original Article
Schattauer GmbH

On-Line Beat-to-Beat Monitoring of Spectral Parameters of Heart Rate Variability Signal Using a Pole-Tracking Algorithm

L. T. Mainardi
1   Department of Biomedical Engineering, Polytechnic University, Milano, Italy
,
A. M. Bianchi
2   Laboratory of Biomedical Engineering, IRCCS S. Raffaele Hospital, Milano, Italy
,
S. Cerutti
3   Department of Computer and System Sciences, University “La Sapienza”, Roma, Italy
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Publikationsverlauf

Publikationsdatum:
08. Februar 2018 (online)

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Abstract:

Spectral parameters extracted from the heart rate variability (HRV) signal are obtained on a beat-to-beat basis, following a procedure which uses two recursive algorithms. In the first step of the procedure the set of the AR model coefficients is updated each time a new RR value is available. Then from the estimated AR model parameters, the new position of the poles of the model transfer function in the complex z-plane is evaluated and, finally, through a residual calculation, it is possible to calculate the spectral parameters which quantify the control of the autonomic nervous system in assessing the cardiac frequency (i.e., power and frequency of LF and HF components). The whole procedure has first been tested on a simulated time series, in order to evaluate its performance in tracking the dynamic changes during different conditions; next the algorithms were employed in the study of the HRV signal for continuous monitoring of non-stationary conditions.

Keywords

Time-variant Spectral Analysis - Auto-Regressive Models - Heart Rate Variability - Autonomic Nervous System
 

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