The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A nonlinear adaptive method of elimination of power line interference in ECG signals
Abstract
A new method of elimination of power line noise in electrocardiogram signals is presented. The proposed method employs, as its main building block, a recently developed signal processing algorithm capable of extracting a specified component of a signal and tracking its variations over time. Design considerations and performance of the proposed method are presented with the aid of computer simulations. Superior performance is observed in terms of effective elimination of noise under conditions of varying powerline interference frequency. The proposed method presents a simple and robust structure which complies with practical constraints involved in the problem such as low computational resource availability and low sampling frequency.
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Cites
Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
Adaptive noise cancelling: Principles and applications
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Eugene Dong, Jr., & Goodlin, R. C. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10036 · Cited by 3,939
Cited by
IEEE Transactions on Signal Processing
(2023) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.78 · Cited by 1,455
Deep learning-based multidimensional feature fusion for classification of ECG arrhythmia
Cui, J., Wang, L., He, X., De Albuquerque, V. H. C., AlQahtani, S. A., & Hassan, M. M. (2023) · Neural Computing and Applications · doi:10.1007/s00521-021-06487-5 · Cited by 43
Metadata
- Authors
- Ziarani, A. K., & Konrad, A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2002-06
- Volume
- 49
- Issue
- 6
- Pages
- 540-547
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2159633119
- Cited by
- 241
- References
- 2
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- closed
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