DocumentCode :
2480519
Title :
Theoretical & experimental analysis of the Non Markov Parameter to detect low frequency synchronisation in time series analysis
Author :
Varghese, J.J. ; Weegink, K.J. ; Bellette, P.A. ; Coyne, T. ; Silburn, P.A. ; Meehan, P.A.
Author_Institution :
Int. Sch. of Min. & Mech. Eng., Univ. of Queensland Brisbane, Brisbane, QLD, Australia
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
2707
Lastpage :
2711
Abstract :
A theoretical investigation into the behaviour of the Non-Markov Parameter is performed from a signal processing perspective in contrast to previous methodologies based on stochastic processes theory. The results indicate that the NMP can be regarded as an informational metric which is indicative of the degree of low frequency synchronisation in a complex system. These results have deep implications for physiological analysis of biological systems where the presence of sychronisation is often a marker of pathological functioning. The NMP measure is then applied to in vivo micro-electrode recordings from the subthalamic nucleus.
Keywords :
Markov processes; synchronisation; low frequency synchronisation; nonMarkov parameter; pathological functioning; physiological analysis; signal processing; stochastic processes theory; time series analysis; Correlation; Equations; Kernel; Mathematical model; Measurement; Neurons; Signal processing; Markov Chains; Models, Theoretical;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090743
Filename :
6090743
Link To Document :
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