Apnea patients characterized by 0.02 Hz peak in the multitaper spectrogram of electrocardiogram signals

Jarvis, M. R., Mitra, P. P. (2000) Apnea patients characterized by 0.02 Hz peak in the multitaper spectrogram of electrocardiogram signals. Computers in Cardiology 2000. pp. 769-772.

URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
DOI: 10.1109/CIC.2000.898638

Abstract

The authors present a method for identifying patients suffering from the sleep disorder apnea on the basis of their Electro-Cardiograms (EGCs). The method is a simple algorithm which utilises characteristic features present in the ECG spectrogram. Additionally they describe extensions which enable assessment of whether a subject is experiencing apnea on a minute by minute basis. The authors find that the most informative spectral feature is a previously observed low frequency oscillation at 0.02 Hz. The oscillation is present during apnea episodes in both the raw ECG signal and also the point process signal formed from the beat times. This indicates that there is a change in the intrinsic dynamics of the system regulating the cardiac cycle heart during apnea episodes. The method was applied to a test set of data provided by Dr Penzel for the `Computers in Cardiology Challenge 2000' competition and classified all subjects correctly (30/30=100%) and scored 15257/17268=88% on the minute by minute classification. Entrant 7 Entry numbers 20000503.123923 and 20000916.193931

Item Type: Paper
Uncontrolled Keywords: electrocardiography feature extraction medical signal processing pneumodynamics sleep spectral analysis 0.02 Hz 0.02 Hz peak Computers in Cardiology Challenge 2000 competition ECG analysis apnea patients characterization beat times cardiac cycle electrocardiogram signals electrodiagnostics low frequency oscillation multitaper spectrogram raw ECG signal simple algorithm system intrinsic dynamics Biomedical signal processing Cardiology Frequency Heart Signal processing Spectrogram Testing
Subjects: diseases & disorders > mental disorders > sleep disorders
CSHL Authors:
Communities: CSHL labs > Mitra lab
Depositing User: Matt Covey
Date: 2000
Date Deposited: 21 Apr 2014 16:59
Last Modified: 21 Apr 2014 16:59
URI: http://repository.cshl.edu/id/eprint/29774

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