### Abstract

An approach to assessing closed-loop physiologic regulation by the analysis of multiple fluctuating physiologic signals is presented. In particular, the couplings among heart rate, instantaneous lung volume, and arterial blood pressure have been studied. The procedure used consists of several steps. First, a block diagram model is constructed to display the assumed interrelationships among the measured data. Second, linear, constant-coefficient, autoregressive moving-average equations are written to describe each block in the model. Third, the physiologic signals are recorded under conditions which ensure that their frequency content is broadband (e.g., during random interval breathing). Finally, the set of coefficients that result in an optimum least squares fit to the data is found. These parameters specify the transfer functions that correspond to the blocks in the original model. Preliminary results suggest that the time constants and sensitivities inferred from the estimated transfer functions agree with more invasive direct measurements reported in the literature.

Original language | English (US) |
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Title of host publication | Computers in Cardiology |

Publisher | Publ by IEEE |

Pages | 3-8 |

Number of pages | 6 |

ISBN (Print) | 0818621141 |

State | Published - Sep 1989 |

Externally published | Yes |

Event | Proceedings - Computers in Cardiology - Jerusalem, Isr Duration: Sep 19 1989 → Sep 22 1989 |

### Other

Other | Proceedings - Computers in Cardiology |
---|---|

City | Jerusalem, Isr |

Period | 9/19/89 → 9/22/89 |

### Fingerprint

### ASJC Scopus subject areas

- Software
- Cardiology and Cardiovascular Medicine

### Cite this

*Computers in Cardiology*(pp. 3-8). Publ by IEEE.

**Closed-loop identification of cardiovascular regulatory mechanisms.** / Appel, Marvin L.; Saul, J. Philip; Berger, Ronald D; Cohen, Richard J.

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

*Computers in Cardiology.*Publ by IEEE, pp. 3-8, Proceedings - Computers in Cardiology, Jerusalem, Isr, 9/19/89.

}

TY - GEN

T1 - Closed-loop identification of cardiovascular regulatory mechanisms

AU - Appel, Marvin L.

AU - Saul, J. Philip

AU - Berger, Ronald D

AU - Cohen, Richard J.

PY - 1989/9

Y1 - 1989/9

N2 - An approach to assessing closed-loop physiologic regulation by the analysis of multiple fluctuating physiologic signals is presented. In particular, the couplings among heart rate, instantaneous lung volume, and arterial blood pressure have been studied. The procedure used consists of several steps. First, a block diagram model is constructed to display the assumed interrelationships among the measured data. Second, linear, constant-coefficient, autoregressive moving-average equations are written to describe each block in the model. Third, the physiologic signals are recorded under conditions which ensure that their frequency content is broadband (e.g., during random interval breathing). Finally, the set of coefficients that result in an optimum least squares fit to the data is found. These parameters specify the transfer functions that correspond to the blocks in the original model. Preliminary results suggest that the time constants and sensitivities inferred from the estimated transfer functions agree with more invasive direct measurements reported in the literature.

AB - An approach to assessing closed-loop physiologic regulation by the analysis of multiple fluctuating physiologic signals is presented. In particular, the couplings among heart rate, instantaneous lung volume, and arterial blood pressure have been studied. The procedure used consists of several steps. First, a block diagram model is constructed to display the assumed interrelationships among the measured data. Second, linear, constant-coefficient, autoregressive moving-average equations are written to describe each block in the model. Third, the physiologic signals are recorded under conditions which ensure that their frequency content is broadband (e.g., during random interval breathing). Finally, the set of coefficients that result in an optimum least squares fit to the data is found. These parameters specify the transfer functions that correspond to the blocks in the original model. Preliminary results suggest that the time constants and sensitivities inferred from the estimated transfer functions agree with more invasive direct measurements reported in the literature.

UR - http://www.scopus.com/inward/record.url?scp=0024721119&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024721119&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0818621141

SP - 3

EP - 8

BT - Computers in Cardiology

PB - Publ by IEEE

ER -