The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
QRS Detection Based on Multiscale Mathematical Morphology for Wearable ECG Devices in Body Area Networks
Abstract
A novel wearable electrocardiograph (ECG) QRS detection algorithm for wearable ECG devices in body area networks is presented in this paper, which utilizes the multistage multiscale mathematical morphology filtering to suppress the impulsive noise and uses the multiframe differential modulus accumulation to remove the baseline drift and enhance the signal. The proposed algorithm, verified with data from the MIT/BIH Arrhythmia Database and wearable ECG devices, achieves an average QRS detection rate of 99.61%, a sensitivity of 99.81%, and a positive prediction of 99.80%. It compares favorably to the published methods.
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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
A novel method for detecting R-peaks in electrocardiogram (ECG) signal
Manikandan, M. S., & Soman, K. P. (2012) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2011.03.004 · Cited by 393
Metadata
- Authors
- Zhang, F., & Lian, Y.
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2009-08
- Volume
- 3
- Issue
- 4
- Pages
- 220-228
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2170839606
- Cited by
- 231
- References
- 2
- FWCI
- 6.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, F., & Lian, Y. (2009). QRS Detection Based on Multiscale Mathematical Morphology for Wearable ECG Devices in Body Area Networks. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2009.2020093
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