DocumentCode
2213072
Title
Chaotic behavior of respiration signals
Author
Tranquillo, Joseph ; Ning, Taikang
Author_Institution
Dept. of Eng., Trinity Coll., Hartford, CT, USA
fYear
1997
fDate
21-22 May 1997
Firstpage
50
Lastpage
51
Abstract
This paper reflects a study to explore the chaotic behavior of respiration signals. The correlation dimension is used to identify the presence of strange attractors and estimate dimensions. The Grassberger-Procaccia algorithm and the embedding method of Takens were used for computation of the chaotic measure. Preliminary results show the presence of an attractor at a dimension of approximately 2.0 when the data length exceeds 100 points
Keywords
chaos; correlation theory; identification; physiological models; pneumodynamics; Grassberger-Procaccia algorithm; Takens embedding method; attractor; chaotic behavior; correlation dimension; data length; dimensions; respiration signals; strange attractors; Bioelectric phenomena; Biological system modeling; Brain modeling; Chaos; Educational institutions; Electroencephalography; Embedded computing; Mathematical model; Particle measurements; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 1997., Proceedings of the IEEE 1997 23rd Northeast
Conference_Location
Durham, NH
Print_ISBN
0-7803-3848-0
Type
conf
DOI
10.1109/NEBC.1997.594952
Filename
594952
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