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Nonlinear measures of heart rate time series: influence of posture and controlled breathing

Radhakrishna, RKA and Dutt, DN and Yeragani, Vikram Kumar (2000) Nonlinear measures of heart rate time series: influence of posture and controlled breathing. In: Autonomic Neuroscience, 83 (3). pp. 148-158.

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Official URL: http://dx.doi.org/10.1016/S1566-0702(00)00173-9


In this study, we investigated measures of nonlinear dynamics and chaos theory in regards to heart rate variability in 27 normal control subjects in supine and standing postures, and 14 subjects in spontaneous and controlled breathing conditions. We examined minimum embedding dimension (MED), largest Lyapunov exponent (LLE) and measures of nonlinearity (NL) of heart rate time series. MED quantifies the system's complexity, LLE predictability and NL, a measure of deviation from linear processes. There was a significant decrease in complexity (P<0.00001), a decrease in predictability (P<0.00001) and an increase in nonlinearity (P=0.00001) during the change from supine to standing posture. Decrease in MED, and increases in NL score and LLE in standing posture appear to be partly due to an increase in sympathetic activity of the autonomous nervous system in standing posture. An improvement in predictability during controlled breathing appears to be due to the introduction of a periodic component. (C) 2000 published by Elsevier Science B.V.

Item Type: Journal Article
Publication: Autonomic Neuroscience
Publisher: Elsevier Science
Additional Information: Copyright of this article belongs to Elsevier Science.
Keywords: Nonlinear;Chaos;Spectral;Heart rate variability;Posture; Breathing
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 23 Aug 2010 05:44
Last Modified: 19 Sep 2010 06:14
URI: http://eprints.iisc.ac.in/id/eprint/31455

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