@inproceedings{ab9477f99dc742cd971c69066b56d2af,
title = "The chaos model analysis based on time-varying fractal dimension",
abstract = "An evaluation formula of varying-time Hurst index is established by wavelet and the algorithm of varying-time index is presented, which is applied to extract the characteristics of the atrial fibrillation in this paper. The diagnosis of atrial fibrillation curve figure can be done at some resolution ratio level. The results show that the time-varying fractal dimension rises when atrial fibrillation begins, while it falls when atrial fibrillation ends. The begin and the end characteristics of atrial fibrillation can be successfully detected by means of the change of the time-varying fractal dimension. The result also indicates that the complexity of heart rate variability (HRV) decreases at the beginning of atrial fibrillation.",
author = "Jianrong Hou and Dan Huang and Hui Zhao",
year = "2007",
doi = "10.1007/978-3-540-74771-0\_41",
language = "英语",
isbn = "9783540747703",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "364--369",
booktitle = "Life System Modeling and Simulation - International Conference, LSMS 2007, Proceedings",
address = "德国",
note = "2007 International Conference on Life System Modeling and Simulation, LSMS 2007 ; Conference date: 14-09-2007 Through 17-09-2007",
}