NDLI: An electrophysiological cardiac model approach to measuring T-wave alternans

Content Provider	IEEE Xplore Digital Library
Author	Mneimneh, M.A. Povinelli, R.J.
Copyright Year	2008
Description	Author affiliation: Marquette Univ., Milwaukee, WI (Mneimneh, M.A.; Povinelli, R.J.)
Abstract	The 2008 Computers in Cardiology Challenge is to automatically identify and measure T-wave alternans. The study presented here applies an electrophysiological cardiac model to the problem of characterizing the T-wave variability. Thus, the hypothesis is that the existence and magnitude of T-wave alternans can be identified and measured using a cardiac inverse problem approach, where the magnitude of the alternans are measured in the model space. The dataset used in this study is a collection of records from selected databases in the Physionet databank. Additionally, a simulated ECG dataset is used to study the sensitivity and specificity of the proposed approach under various noise conditions. Results on the simulated ECG data set show that the approach is able to differentiate between 5, 10, 20, and 100 microvolt T-wave alternans in the presence of various noises between -25 and 5dB SNR. The score from the challenge, which is the Kendall rank correlation coefficient, is 0.331.
Starting Page	613
Ending Page	616
File Size	176225
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Electrocardiography Databases Signal generators Heart Cardiology Noise level Inverse problems Signal to noise ratio 1f noise Demodulation
Content Type	Text
Resource Type	Article

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