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Cited by 357

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Using wavelet transforms for ECG characterization. An on-line digital signal processing system

Sahambi, J.S., Tandon, S.N., Bhatt, R.K.P.·1997·IEEE Engineering in Medicine and Biology Magazine

Abstract

The rapid and objective measurement of timing intervals of the electrocardiogram (ECG) by automated systems is superior to the subjective assessment of ECG morphology. The timing interval measurements are usually made from the onset to the termination of any component of the EGG, after accurate detection of the QRS complex. This article describes a real-time system that uses wavelet transforms to overcome the limitations of other methods of detecting QRS and the onsets and offsets of P- and T-waves. Wavelet transformation is briefly discussed, and detection methods and hardware and software aspects of the system are presented, as well as experimental results.

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Metadata

Authors
Sahambi, J. S., Tandon, S. N., & Bhatt, R. K. P.
Venue
IEEE Engineering in Medicine and Biology Magazine
Published
1997
Volume
16
Issue
1
Pages
77-83
ISSN
0739-5175 (ISSN-L)
OpenAlex
W2005741784
Cited by
357
References
1
FWCI
4.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using wavelet transforms for ECG characterization. An on-line digital signal processing system. https://app.cochat.ai/papers/10.1109/51.566158
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Sahambi, J. S., Tandon, S. N., & Bhatt, R. K. P. (1997). Using wavelet transforms for ECG characterization. An on-line digital signal processing system. IEEE Engineering in Medicine and Biology Magazine. https://doi.org/10.1109/51.566158

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.