Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series

• Published in: IEEE transactions on biomedical engineering Vol. 48; no. 11; pp. 1282 - 1291
• Main Authors: Porta, A., Guzzetti, S., Montano, N., Furlan, R., Pagani, M., Malliani, A., Cerutti, S.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2001; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analysis of Variance; Biological and medical sciences; Biomedical Engineering; Cardiology; Computer Simulation; Electrocardiography. Vectocardiography; Electrodiagnosis. Electric activity recording; Entropy; Frequency; Heart Rate; Heart rate variability; Humans; Integrated approach; Investigative techniques, diagnostic techniques (general aspects); Laboratories; Medical sciences; Models, Cardiovascular; Pathology; Pattern analysis; Pattern classification; Pattern Recognition, Automated; Performance analysis; Performance evaluation; Studies; Human; Evaluation; Shannon function; Entropy; Pattern recognition; Time variation; Index (documentation); Complexity; Automatic processing; Heart rate; Electrodiagnosis; Electrocardiography; Signal analysis; Quantitative analysis

An integrated approach to the complexity analysis of short heart period variability series (/spl sim/300 cardiac beats) is proposed and applied to healthy subjects during the sympathetic activation induced by head-up tilt and during the driving action produced by controlled respiration (10, 15, and...