Authors:
Yogendra Narain Singh
1
and
P. Gupta
2
Affiliations:
1
Institute of Engineering & Technology, India
;
2
Indian Institute of Technology Kanpur, India
Keyword(s):
ECG analysis, T wave delineation, QRS complex.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
This study presented an efficient and robust method for the automatic delineation of T wave in the single-lead electrocardiogram. The method attained optimum performance using the fusion of delineation results obtained from a pair of new approaches. The first approach utilizes the advantage of time derivative and determines T wave ends using derivative curve analysis. The effect of local noise on the ECG signal is seized using a nonderivative approach which performs T wave delineation using the analysis of its waveform curvature toward the ends. Using the assumption that beginning and end of T wave exhibit the convex shape, this approach determines minimum radius of curvature of the convex regions at both ends. It is formally shown that the time instance corresponding to minimum radius of curvature coincides with T wave ends. The delineation results obtained from both the approaches are fused to achieve the optimum performance. The delineator attained a detection sensitivity of 99.9%
, positive predictivity of 99.1% and an accuracy of 99.01% over the first lead of physionet QT database (20 records of 1, 000 beats each). The delineation errors are found well within the referenced intercardiologist observations, especially for T wave end. The mean error and standard deviation are found smaller than 10 ms which outperformed in comparison to other published results.
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