The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An approach to QRS complex detection using mathematical morphology
Abstract
An approach to QRS complex detection based on mathematical morphology is presented in this communication. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as structuring element resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.
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Cites
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
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
A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising
Chen, S.-W., Chen, H.-C., & Chan, H.-L. (2006) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2005.11.012 · Cited by 264
Metadata
- Authors
- Trahanias, P. E.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1993
- Volume
- 40
- Issue
- 2
- Pages
- 201-205
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2124621676
- Cited by
- 193
- References
- 1
- FWCI
- 0.31
- Type
- journal article
- Language
- en
- Open access
- closed
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