The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Digital Filters for Real-Time ECG Signal Processing Using Microprocessors
Abstract
Traditionally, analog circuits have been used for signal conditioning of electrocardiograms. As an alternative, algorithms implemented as programs on microprocessors can do similar filtering tasks. Also, digital filter algorithms can perform processes that are difficult or impossible using analog techniques. Presented here are a set of real-time digital filters each implemented as a subroutine. By calling these subroutines in an appropriate sequence, a user can cascade filters together to implement a desired filtering task on a single microprocessor. Included are an adaptive 60-Hz interference filter, two low-pass filters, a high-pass filter for eliminating dc offset in an ECG, an ECG data reduction algorithm, band-pass filters for use in QRS detection, and a derivative-based QRS detection algorithm. These filters achieve real-time speeds by requiring only integer arithmetic. They can be implemented on a diversity of available microprocessors.
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Cites
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
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
A 48.6-to-105.2 µW Machine Learning Assisted Cardiac Sensor SoC for Mobile Healthcare Applications
Hsu, S.-Y., Ho, Y., Chang, P.-Y., Su, C., & Lee, C.-Y. (2014) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2013.2297406 · Cited by 82
Metadata
- Authors
- Ahlstrom, M. L., & Tompkins, W. J.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1985-09
- Volume
- BME-32
- Issue
- 9
- Pages
- 708-713
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2019485089
- Cited by
- 189
- References
- 1
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- closed
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