The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A novel method for detecting R-peaks in electrocardiogram (ECG) signal
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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 Wavelet-Based ECG Delineator: Evaluation on Standard Databases
Martinez, J. P., Almeida, R., Olmos, S., Rocha, A. P., & Laguna, P. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.821031 · Cited by 1,605
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
Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database
Hamilton, P. S., & Tompkins, W. J. (1986) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1986.325695 · Cited by 1,142
The use of the Hilbert transform in ECG signal analysis
Benitez, D., Gaydecki, P. A., Zaidi, A., & Fitzpatrick, A. P. (2001) · Computers in Biology and Medicine · doi:10.1016/s0010-4825(01)00009-9 · Cited by 489
Heart sound segmentation algorithm based on heart sound envelogram
Liang, H., Lukkarinen, S., & Hartimo, I. (2002) · Computers in Cardiology 1997 · doi:10.1109/cic.1997.647841 · Cited by 414
Analysis of First-Derivative Based QRS Detection Algorithms
Arzeno, N. M., Deng, Z.-D., & Poon, C.-S. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.912658 · Cited by 413
QRS complexes detection for ECG signal: The Difference Operation Method
Yeh, Y.-C., & Wang, W.-J. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2008.04.006 · Cited by 282
Software QRS detection in ambulatory monitoring — a review
Pahlm, O., & Sörnmo, L. (1984) · Medical & Biological Engineering & Computing · doi:10.1007/bf02442095 · Cited by 253
Zhang, F., & Lian, Y. (2009) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2009.2020093 · Cited by 231
Cited by
A Review of Signal Processing Techniques for Electrocardiogram Signal Quality Assessment
Satija, U., Ramkumar, B., & Manikandan, M. S. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2018.2810957 · Cited by 295
Self-citationFixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies
Abdennadher, N., Pau, D., & Bruna, A. (2021) · 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) · doi:10.1109/gcce53005.2021.9622022 · Cited by 9
Metadata
- Authors
- Manikandan, M. S., & Soman, K. P.
- Venue
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 7
- Issue
- 2
- Pages
- 118-128
- ISSN
- 1746-8094 (ISSN-L)
- OpenAlex
- W2074820813
- Cited by
- 393
- References
- 14
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: A novel method for detecting R-peaks in electrocardiogram (ECG) signal. https://app.cochat.ai/papers/10.1016/j.bspc.2011.03.004
- The paper
- Manikandan, M. S., & Soman, K. P. (2012). A novel method for detecting R-peaks in electrocardiogram (ECG) signal. Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2011.03.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
