DocumentCode
2360822
Title
Complexity assessment of ECG RR interval
Author
Berskiene, K. ; Vainoras, A. ; Daunoraviciene, A. ; Sedekerskiene, V. ; Korsakas, S. ; Jurkonis, V.
Author_Institution
Kaunas Univ. of Technol., Kaunas
fYear
2008
fDate
14-17 Sept. 2008
Firstpage
989
Lastpage
991
Abstract
Physical load is very important and necessary for human organism and for its systems functionality. During bicycle ergometry work we can evaluate the functionality of the human organism. We looked for the complexity measure, which could integrally and simple evaluate organism reaction to physical load. We used ECG RR interval allometric relation and RR interval information dimension. We indicated, that the slope of ECG RR interval allometric relation and information dimension could be used as the RR interval complexity measures, defining all organism reaction to physical load. The study showed that young women RR interval complexity is higher, it means that all organism adaptation to physical load is better, different organism systems better interact together. Significant differences between load and recovery periods detected different adaptation complexity levels.
Keywords
bioelectric phenomena; electrocardiography; medical signal processing; ECG RR interval complexity assessment; RR interval allometric relation; RR interval information dimension; bicycle ergometry work; complexity measure; organism functionality; physical load organism adaptation; physical load organism reaction; Bicycles; Cardiology; Chaos; Data analysis; Electrocardiography; Humans; Medical diagnosis; Medical diagnostic imaging; Organisms; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2008
Conference_Location
Bologna
ISSN
0276-6547
Print_ISBN
978-1-4244-3706-1
Type
conf
DOI
10.1109/CIC.2008.4749210
Filename
4749210
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