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On the chaotic nature of biological signals using nonlinear data analysis methodology

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Azian Azamimi, Abdullah, Nishio, Yoshifumi
Other Authors: azamimi@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Biological signals
Lyapunov functions
Control theory
Chaotic behavior in systems
Biomedical engineering
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7291
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spelling my.unimap-72912010-01-18T07:01:48Z On the chaotic nature of biological signals using nonlinear data analysis methodology Azian Azamimi, Abdullah Nishio, Yoshifumi azamimi@unimap.edu.my Biological signals Lyapunov functions Control theory Chaotic behavior in systems Biomedical engineering Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. In this study, we analyze the characteristic of biological signals using nonlinear data analysis methodology. Biological signals are not linear so to get a more accurate portrait of nonlinear signals, we must analyze them with nonlinear analysis methods. The nonlinear analysis method is emerging as relatively new and rapidly growing in biomedical field. One of the most useful techniques in nonlinear data analysis is the concept of Lyapunov exponent. As we may know, Lyapunov exponent is often used to define whether a dynamical system is chaotic or not. If the system exhibits at least one positive Lyapunov exponent and is purely deterministic, then it is chaotic. In this work, we measure the finger pulse signal for twenty minutes in two different situations. Then, we analyze the finger pulse signal using nonlinear data analysis method. We extract and evaluate Lyapunov exponent parameters from the finger pulse signal. We finally find the positive value of Lyapunov exponent and confirm the existence of chaotic nature in biological systems. 2009-11-13T08:18:01Z 2009-11-13T08:18:01Z 2009-10-11 Working Paper p.1C5 1 - 1C5 4 http://hdl.handle.net/123456789/7291 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biological signals
Lyapunov functions
Control theory
Chaotic behavior in systems
Biomedical engineering
spellingShingle Biological signals
Lyapunov functions
Control theory
Chaotic behavior in systems
Biomedical engineering
Azian Azamimi, Abdullah
Nishio, Yoshifumi
On the chaotic nature of biological signals using nonlinear data analysis methodology
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
Azian Azamimi, Abdullah
Nishio, Yoshifumi
format Working Paper
author Azian Azamimi, Abdullah
Nishio, Yoshifumi
author_sort Azian Azamimi, Abdullah
title On the chaotic nature of biological signals using nonlinear data analysis methodology
title_short On the chaotic nature of biological signals using nonlinear data analysis methodology
title_full On the chaotic nature of biological signals using nonlinear data analysis methodology
title_fullStr On the chaotic nature of biological signals using nonlinear data analysis methodology
title_full_unstemmed On the chaotic nature of biological signals using nonlinear data analysis methodology
title_sort on the chaotic nature of biological signals using nonlinear data analysis methodology
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7291
_version_ 1643788750632779776
score 13.188404

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