NDLI: Nonstationarity Detection: The Use of the Cross Correlation Integral in ECG, and EEG Profile Analysis

Content Provider	IEEE Xplore Digital Library
Author	Kiremire, Bunty B. E. Marwala, Tshilidzi
Copyright Year	2008
Abstract	This paper proposes the Stationarity Index, a measure of the similarities of the auto correlation integral of a section of a time series and the cross correlation of that section with others of the same time series. This measure of similarity is a measure of the stationarity of the time series and therefore can be used not only to detect nonstationarity but to also quantify it. The index is then successfully used in the analysis of electrocardiogram (ECG) and electroencephalogram (EEG) profiles to identify the changes in the dynamics of the signals as well as the occurrence of various events. The index displays sensitivity to changes in the dynamics exhibited in ECG signals that are the result of partial epileptic seizures, with the index going high in responseto the changes in the dynamics.
Starting Page	373
Ending Page	378
File Size	492007
Page Count	6
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.779
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistical analysis Delay effects Time series analysis Electrocardiography Signal processing Electroencephalography Time measurement Biomedical measurements Signal analysis Testing
Content Type	Text
Resource Type	Article

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Nonstationarity Detection: The Use of the Cross Correlation Integral in ECG, and EEG Profile Analysis