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Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data

Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data

Book SeriesLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
ISSN0302-9743 (Print) 1611-3349 (Online)
VolumeVolume 1933/2000
BookMedical Data Analysis
DOI10.1007/3-540-39949-6
Copyright2000
ISBN978-3-540-41089-8
DOI10.1007/3-540-39949-6_3
Pages67-88
Subject CollectionComputer Science
SpringerLink DateSaturday, January 01, 2000
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Synchronization Analysis of Bivariate Time Series and Its Application to Medical Data

M. Rosenblum6 Contact Information

(6)  Potsdam University, Germany
Abstract
A typical problem in time series analysis is to reveal the presence of an interdependence between two (or more) signals. Such an analysis is traditionally done by means of cross-correlation (cross-spectrum) techniques or nonlinear statistical measures.

Contact Information M. Rosenblum
Email: mros@agnld.uni-potsdam.de
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