DocumentCode
2154601
Title
Assessing autonomic activity from the EKG related to seizure onset detection and localization
Author
Quint, Stephen R. ; Messenheimer, John A. ; Tennison, Michael B. ; Nagle, H. Troy
Author_Institution
Dept. of Biomed. Eng., North Carolina Univ., Chapel Hill, NC, USA
fYear
1989
fDate
26-27 Jun 1989
Firstpage
2
Lastpage
9
Abstract
Methods are presented for the detection and analysis of heart period variation (HPV) in both the time domain and the frequency domain. Fractal analysis and rate-change detection procedures are used for the recognition of transients in the HPV random variable. The power spectra of HPV are used to quantify relative autonomic input to the heart, with power at high frequencies (sinus arrhythmia) sensitive to parasympathetic input and low frequency power due to a combination of sympathetic and parasympathetic activities. Spectral analysis of HPV is used to study the dynamic activity of the autonomic nervous system, under conditions observed clinically which are considered to be risk factors for sudden death in epileptics. Results and conclusions from a study of a population of epilepsy patients are also presented
Keywords
electrocardiography; electroencephalography; frequency-domain analysis; medical diagnostic computing; time-domain analysis; ECG; EEG; EKG; autonomic activity assessment; dynamic activity; epileptics; fractal analysis; frequency domain; heart period variation; localization; parasympathetic input; power spectra; rate-change detection procedures; seizure onset detection; spectral analysis; time domain; Autonomic nervous system; Epilepsy; Fractals; Frequency domain analysis; Heart; Random variables; Resonant frequency; Spectral analysis; Time domain analysis; Transient analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems,1989. Proceedings., Second Annual IEEE Symposium on
Conference_Location
Minneapolis, MN
Print_ISBN
0-8186-1960-0
Type
conf
DOI
10.1109/CBMSYS.1989.47350
Filename
47350
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