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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bianchi, A. Mainardi, L. Signorini, M.G. Cerutti, S. Lombardi, F. Montefusco, A. Malliani, A. |
| Copyright Year | 1991 |
| Description | Author affiliation: IRCCS Ospedale S Raffaele, Milano, Italy (Bianchi, A.) |
| Abstract | The authors describe some time-variant algorithms of autoregressive (AR) identification that result in obtaining a set of AR parameters for each data sample. The performances of the algorithms were tested on simulated series to better understand their capability in tracking abrupt or constant-rate changes in the signal. A power spectrum density was obtained at each sample and a compressed spectrum array (CSA) graph is plotted. The algorithms were then applied in the study of the heart rate variability signal in dogs during coronary occlusion and in human subjects during transient ischemic episodes. Spectral parameters were obtained on a beat-to-beat basis, for a better comprehension of the dynamic role of the autonomic nervous system in this pathology.< |
| Starting Page | 265 |
| Ending Page | 268 |
| File Size | 316373 |
| Page Count | 4 |
| File Format | |
| ISBN | 081862485X |
| DOI | 10.1109/CIC.1991.169096 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-09-23 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate variability Pathology Resonant frequency Spectral analysis Gold Cardiology Performance evaluation Testing Dogs Humans |
| Content Type | Text |
| Resource Type | Article |
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