Title :
Chaotic behavior of respiration signals
Author :
Tranquillo, Joseph ; Ning, Taikang
Author_Institution :
Dept. of Eng., Trinity Coll., Hartford, CT, USA
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;
Conference_Titel :
Bioengineering Conference, 1997., Proceedings of the IEEE 1997 23rd Northeast
Conference_Location :
Durham, NH
Print_ISBN :
0-7803-3848-0
DOI :
10.1109/NEBC.1997.594952
