Nonlinear analysis of cardiac rhythm fluctuations using DFA method
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DOI: 10.1016/S0378-4371(99)00295-2
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- Vandewalle, N. & Ausloos, M., 1997. "Coherent and random sequences in financial fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 454-459.
- Stanley, H.E. & Buldyrev, S.V. & Goldberger, A.L. & Havlin, S. & Peng, C.-K. & Simons, M., 1993. "Long-range power-law correlations in condensed matter physics and biophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 200(1), pages 4-24.
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- Jean-Marc Bardet & Imen Kammoun & Veronique Billat, 2012. "A new process for modeling heartbeat signals during exhaustive run with an adaptive estimator of its fractal parameters," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1331-1351, December.
- Szi-Wen Chen & Jiunn-Woei Liaw & Ya-Ju Chang & Hsiao-Lung Chan & Li-Yu Chiu, 2015. "A Cycling Movement Based System for Real-Time Muscle Fatigue and Cardiac Stress Monitoring and Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-17, June.
- Ohashi, Alberto Masayoshi F ., 2001. "Instability and chaotic dynamics in stock returns," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.
- Yin, Yi & Shang, Pengjian, 2013. "Modified DFA and DCCA approach for quantifying the multiscale correlation structure of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6442-6457.
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Keywords
Biological physics; Data analysis; Random processes; Chaos (theory and models);All these keywords.
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