Estimation of the correlation dimension of heart rate using surrogate data techniques

Biomedical Sciences Instrumentation

Volumn 33, Issue , 1997, Pages 491-496

  Thayer, Julian F ^a   Moulden, Sharon A ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b GEORGE MASON UNIVERSITY   (United States)

Author keywords

Correlation dimension; Heart rate; Nonlinear dynamics; Suurogate data

Indexed keywords

BREATHING RATE; CASE REPORT; CONFERENCE PAPER; FEMALE; HEART RATE; HUMAN; NONLINEAR SYSTEM; SYSTEM ANALYSIS;

FEMALE; HEART RATE; HUMANS; NONLINEAR DYNAMICS; RESPIRATION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0031410728     PISSN: 00678856     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (5)

1. Skinner J, Molnar M, Vybiral T, and Mitra M. Application of chaos theory to biology and medicine. Int. Phys. Beh. Sci., 27 (1992), 39-53.
2. Kaplan D, Furman M, Pincus S, Ryan S, Lipsitz L, and Goldberger A. Aging and the complexity of cardiovascular dynamics. Biophys. J., 59 (1991), 945-949.
3. Thayer JF, and Friedman BH. Assessment of anxiety using heart rate nonlinear dynamics. SPIE Chaos in Biology and Medicine, 2036 (1993), 42-48.
4. Ding M, Sauer T, Grebogi C, Ott E, and Yorke JA. Estimating correlation dimension from a chaotic time series: When does plateau onset occur? Unpublished manuscript (1993).
5. Theiler J, Galdrikian B, Longtin A, Eubank S, and Farmer JD. Using surrogate data to detect nonlinearity in time series. Nonlinear Modeling and Forecasting, SFI Studies Sci. Complex. Proc. XII (Addison-Wesley, 1992).