NDLI: A Derivative-Based Approach for QT-Segment Feature Extraction in Digitized ECG Record

Content Provider	IEEE Xplore Digital Library
Author	Gupta, R. Mitra, M. Mondal, K. Bhowmick, S.
Copyright Year	2011
Abstract	Automatic electrocardiogram analysis using different signal processing technique is one of the prominent areas of research in biomedical engineering. This paper illustrates a simple approach for time plane feature extraction in the QT segment. At first, the R peaks are accurately determined using a simple derivative-based approach and hence heart rate is calculated. Next, the baseline points of all cardiac cycles in the dataset are determined in the TP segment and the baseline modulation in the signal is eliminated by an empirical formula. Finally, the characteristic points Q, Q-offset, S, S-offset, T-onset, T and T-offset are calculated for all cycles using a magnitude and slope threshold based method. Hence, QRS width, ST segment, QT segment and (QT)c are determined. ECG data for 30 second interval from MIT-PTB diagnostic database is used for testing the algorithm.
Starting Page	63
Ending Page	66
File Size	340852
Page Count	4
File Format	PDF
ISBN	9781424496839
DOI	10.1109/EAIT.2011.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	QRS detection ECG signal processing Modulation Signal processing algorithms Time-plane features Electrocardiography Lead Feature extraction PTB database Indexes
Content Type	Text
Resource Type	Article

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