Hemodynamic parameters such as heart rate, arterial blood pressure stroke volume fluctuate on a beat-to-beat basis as a result of the dynamic interplay between ongoing perturbations to the cardiovascular system and the response of the regulatory systems. Mathematical analysis of beat-to-beat variability has been shown previously to provide a noninvasive means of assessing the integrity of the closed loop regulation of the cardiovascular system. For example, spectral analysis of heart rate variability has been shown to provide a noninvasive measure of parasympathetic and beta-sympathetic activity. In this proposal we plan to study spontaneous beat-to-beat variability in hemodynamic parameters in response to broad-band perturbations applied to respiratory activity, heart rate and arterial blood pressure. These studies will be conducted in the dog and in man to define the regulatory mechanisms governing beat-to-beat variability in hemodynamic parameters. Abnormalities in hemodynamic parameter variability will be identified in pathophysiological conditions affecting cardiovascular regulation such as heart failure and hypertension. A computer model of beat-to-beat cardiovascular regulation will be developed to elucidate mechanisms of variability in hemodynamic parameters and synthesize the results of the experimental studies. Finally, new clinical diagnostic methods will be developed to identify regulatory dysfunction in a sensitive and quantitative manner.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL039291-03
Application #
3356057
Study Section
Special Emphasis Panel (SSS (D))
Project Start
1989-04-01
Project End
1994-03-31
Budget Start
1991-04-01
Budget End
1992-03-31
Support Year
3
Fiscal Year
1991
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
Organized Research Units
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Mukkamala, R; Mathias, J M; Mullen, T J et al. (1999) System identification of closed-loop cardiovascular control mechanisms: diabetic autonomic neuropathy. Am J Physiol 276:R905-12
Mullen, T J; Berger, R D; Oman, C M et al. (1998) Human heart rate variability relation is unchanged during motion sickness. J Vestib Res 8:95-105
Mullen, T J; Appel, M L; Mukkamala, R et al. (1997) System identification of closed-loop cardiovascular control: effects of posture and autonomic blockade. Am J Physiol 272:H448-61
Perrott, M H; Cohen, R J (1996) An efficient approach to ARMA modeling of biological systems with multiple inputs and delays. IEEE Trans Biomed Eng 43:1-14
Bigger Jr, J T; Steinman, R C; Rolnitzky, L M et al. (1996) Power law behavior of RR-interval variability in healthy middle-aged persons, patients with recent acute myocardial infarction, and patients with heart transplants. Circulation 93:2142-51
Chon, K H; Mullen, T J; Cohen, R J (1996) A dual-input nonlinear system analysis of autonomic modulation of heart rate. IEEE Trans Biomed Eng 43:530-44
Triedman, J K; Perrott, M H; Cohen, R J et al. (1995) Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysis. Am J Physiol 268:H2232-8
He, B; Chernyak, Y B; Cohen, R J (1995) An equivalent body surface charge model representing three-dimensional bioelectrical activity. IEEE Trans Biomed Eng 42:637-46
He, B; Cohen, R J (1995) Body surface Laplacian electrocardiographic mapping--a review. Crit Rev Biomed Eng 23:475-510
Freeman, R; Cohen, R J; Saul, J P (1995) Transfer function analysis of respiratory sinus arrhythmia: a measure of autonomic function in diabetic neuropathy. Muscle Nerve 18:74-84

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