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Permutation entropy and detrend fluctuation analysis for the natural complexity of cardiac heart interbeat signals |
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| Authors: | Farid Taherkhani Maryam Rahmani Fariborz Taherkhani Hamed Akbarzadeh Hadi Abroshan |
| Affiliation: | 1. Department of Chemistry, Razi University, Kermanshah, Iran;2. Hormozgan University of Medical Science, Iran;3. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran;4. Department of Chemistry, Hakim Sabzevari University, Sabzevar, Iran;5. Department of Chemistry, Carnegie Mellon University, Pittsburgh, PA, USA |
| Abstract: | We compute fractal dimension and permutation entropy for healthy and people who have experienced heart failure. Our result shows that permutation entropy is a suitable approach as well as detrend fluctuation analysis (DFA). The result of DFA shows that the fractal dimensions for healthy and heart failure are different as well as the permutation entropy result. The fluctuation value for permutation entropy for an individual who has experienced heart failure is bigger than for a healthy person. There is some specific change in the interbeat signal of a person who has experienced heart failure, but there is not previous trend for a healthy person. |
| Keywords: | Permutation entropy Detrend fluctuation analysis Heart interbeat signal Fractal dimension |
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