Abstract
In this work we compared by a computer simulation the accuracy of the magnitude squared coherence (MSC) function and of the gain and phase spectrum estimated by the Blackman-Tukey (BT) and autoregressive (AR) methods. Two stochastic processes were generated by AR fitting a real systolic pressure signal and a synthetic signal both containing a very low frequency (0.01-0.04 Hz), a low frequency (0.04-0.15 Hz) and a high frequency (0.15-0.45 Hz) component, passed through a linear block with known transfer function and added to a white noise source. The synthetic signal was characterized by narrower spectral peaks in order to stress the resolving power of the estimated functions. For each process 300 realizations at a record length of 3 and 5 min were generated, the corresponding system output computed and the MSC, gain and phase at the 3 spectral components estimated. The error in the estimation of the gain and phase shift was negligible at all frequencies for both AR and BT. In the estimation of the MSC, AR performed better than BT, which showed a systematic negative bias and a lower spectral resolution.
| Original language | English |
|---|---|
| Title of host publication | Computers in Cardiology |
| Publisher | IEEE Comp Soc |
| Pages | 391-394 |
| Number of pages | 4 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 24th Annual Meeting on Computers in Cardiology - Lund, Sweden Duration: Sep 7 1997 → Sep 10 1997 |
Other
| Other | Proceedings of the 1997 24th Annual Meeting on Computers in Cardiology |
|---|---|
| City | Lund, Sweden |
| Period | 9/7/97 → 9/10/97 |
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ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine
Cite this
Coherence and transfer function estimation in cardiovascular variability analysis : A comparison between the classical and autoregressive approach. / Maestri, R.; Pinna, G. D.
Computers in Cardiology. IEEE Comp Soc, 1997. p. 391-394.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Coherence and transfer function estimation in cardiovascular variability analysis
T2 - A comparison between the classical and autoregressive approach
AU - Maestri, R.
AU - Pinna, G. D.
PY - 1997
Y1 - 1997
N2 - In this work we compared by a computer simulation the accuracy of the magnitude squared coherence (MSC) function and of the gain and phase spectrum estimated by the Blackman-Tukey (BT) and autoregressive (AR) methods. Two stochastic processes were generated by AR fitting a real systolic pressure signal and a synthetic signal both containing a very low frequency (0.01-0.04 Hz), a low frequency (0.04-0.15 Hz) and a high frequency (0.15-0.45 Hz) component, passed through a linear block with known transfer function and added to a white noise source. The synthetic signal was characterized by narrower spectral peaks in order to stress the resolving power of the estimated functions. For each process 300 realizations at a record length of 3 and 5 min were generated, the corresponding system output computed and the MSC, gain and phase at the 3 spectral components estimated. The error in the estimation of the gain and phase shift was negligible at all frequencies for both AR and BT. In the estimation of the MSC, AR performed better than BT, which showed a systematic negative bias and a lower spectral resolution.
AB - In this work we compared by a computer simulation the accuracy of the magnitude squared coherence (MSC) function and of the gain and phase spectrum estimated by the Blackman-Tukey (BT) and autoregressive (AR) methods. Two stochastic processes were generated by AR fitting a real systolic pressure signal and a synthetic signal both containing a very low frequency (0.01-0.04 Hz), a low frequency (0.04-0.15 Hz) and a high frequency (0.15-0.45 Hz) component, passed through a linear block with known transfer function and added to a white noise source. The synthetic signal was characterized by narrower spectral peaks in order to stress the resolving power of the estimated functions. For each process 300 realizations at a record length of 3 and 5 min were generated, the corresponding system output computed and the MSC, gain and phase at the 3 spectral components estimated. The error in the estimation of the gain and phase shift was negligible at all frequencies for both AR and BT. In the estimation of the MSC, AR performed better than BT, which showed a systematic negative bias and a lower spectral resolution.
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M3 - Conference contribution
AN - SCOPUS:0031377655
SP - 391
EP - 394
BT - Computers in Cardiology
PB - IEEE Comp Soc
ER -