DocumentCode :
424239
Title :
A delay partition method for calculating complexity of physiological signals
Author :
Zhang, Ai-Hua ; Zheng, Chong-xun ; Pei, Xiao-Mei ; Gu, Jian-Wan
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2520
Abstract :
It is often required to take a partition preprocessing before a complexity analysis is made for biomedical signal time series. Due to noise existing in signal measuring system, a wrong analysis result may be produced, and even the dynamic property of the original signal may be radically distorted in some case. In order to solve such problems, a delay partition method was presented. The proposed method can obtain the reconstructed string objectively representing the original signals. The simulation and electroencephalogram signal complexity analysis have shown that the delay partition method is proper and effective.
Keywords :
electroencephalography; medical signal processing; biomedical signal time series; delay partition method; electroencephalogram signal complexity analysis; partition preprocessing; physiological signal complexity calculation; signal measuring system; Biomedical engineering; Delay estimation; Educational institutions; Educational technology; Kinetic theory; Length measurement; Noise measurement; Partitioning algorithms; Sampling methods; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382228
Filename :
1382228
Link To Document :
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