Multiscale wavelet analysis in ECG segmentation problem
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Abstract
This article proposes an electrocardiogram (ECG) segmentation algorithm, using multi-resolution wavelet analysis of signals. The algorithm was tested using ECG taken from international electrocardiogram databases: MIT-BIH Arrhythmia Database. Test material has a wide range: normal and pathological signals, signals, complicated by noise of different frequencies and capacities. Accuracy of ECG QRS complex localization is 98%, the point J - 95%, T wave - 86%, P wave - 80%.
References 6, figures 5, tabl. 1.
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References
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