Time-varying analysis for the estimation of spectral parameters in cardiovascular variability signals

Cerutti S., Bianchi A., Mainardi L.

International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society, Illinois, United States Of America, 30 October - 02 November 1997, vol.19, pp.2698-2703 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 19
  • City: Illinois
  • Country: United States Of America
  • Page Numbers: pp.2698-2703
  • Istanbul University Affiliated: No

Abstract

The frequency domain analysis of the heart rare variability (HRV) signal is actually extended to nonstationary situations in order to quantify the autonomic control during physiological or pathological dynamical phenomena. Different methods of time-frequency representation of a signal have been proposed in literature. In the present paper a recursive implementation of the Autoregressive (AR) spectral identification is described together with application in clinical protocols dealing with myocardial ischemia, both spontaneous or induced by and with episodes of vaso-vagal dipyridamol infusion syncope..