### 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 |

### Fingerprint

### ASJC Scopus subject areas

- Software
- Cardiology and Cardiovascular Medicine

### Cite this

*Computers in Cardiology*(pp. 391-394). IEEE Comp Soc.

**Coherence and transfer function estimation in cardiovascular variability analysis : A comparison between the classical and autoregressive approach.** / Maestri, R.; Pinna, G. D.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Computers in Cardiology.*IEEE Comp Soc, pp. 391-394, Proceedings of the 1997 24th Annual Meeting on Computers in Cardiology, Lund, Sweden, 9/7/97.

}

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.

UR - http://www.scopus.com/inward/record.url?scp=0031377655&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031377655&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031377655

SP - 391

EP - 394

BT - Computers in Cardiology

PB - IEEE Comp Soc

ER -