The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genetic design of optimum linear and nonlinear QRS detectors
Abstract
This paper describes an approach to the design of optimum QRS detectors. We report on detectors including a linear or nonlinear polynomial filter, which enhances and rectifies the QRS complex, and a simple, adaptive maxima detector. The parameters of the filter and the detector, and the samples to be processed are selected by a genetic algorithm which minimizes the detection errors made on a set of reference ECG signals. Three different architectures and the experimental results achieved on the MIT-BIH Arrhythmia Database are described.
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Citations
Cites
A Real-Time QRS Detection Algorithm
Pan, J., & Tompkins, W. J. (1985) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1985.325532 · Cited by 7,855
A comparison of the noise sensitivity of nine QRS detection algorithms
Friesen, G. M., Jannett, T. C., Jadallah, M. A., Yates, S. L., Quint, S. R., & Nagle, H. T. (1990) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.43620 · Cited by 1,043
Cited by
The principles of software QRS detection
Kohler, B.-U., Hennig, C., & Orglmeister, R. (2002) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.993193 · Cited by 1,242
Search-based software engineering
Harman, M., & Jones, B. F. (2001) · Information and Software Technology · doi:10.1016/s0950-5849(01)00189-6 · Cited by 914
Current methods in electrocardiogram characterization
Martis, R. J., Acharya, U. R., & Adeli, H. (2014) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2014.02.012 · Cited by 278
Metadata
- Authors
- Poli, R., Cagnoni, S., & Valli, G.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1995
- Volume
- 42
- Issue
- 11
- Pages
- 1137-1141
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2113804337
- Cited by
- 238
- References
- 2
- FWCI
- 0.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Poli, R., Cagnoni, S., & Valli, G. (1995). Genetic design of optimum linear and nonlinear QRS detectors. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.469381
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
