The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A dynamical model for generating synthetic electrocardiogram signals
Abstract
A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram (ECG) signals. The operator can specify the mean and standard deviation of the heart rate, the morphology of the PQRST cycle, and the power spectrum of the RR tachogram. In particular, both respiratory sinus arrhythmia at the high frequencies (HFs) and Mayer waves at the low frequencies (LFs) together with the LF/HF ratio are incorporated in the model. Much of the beat-to-beat variation in morphology and timing of the human ECG, including QT dispersion and R-peak amplitude modulation are shown to result. This model may be employed to assess biomedical signal processing techniques which are used to compute clinical statistics from the ECG.
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Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
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A Real-Time QRS Detection Algorithm
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ACC/AHA guidelines for ambulatory electrocardiography
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Ecg pattern analysis for emotion detection
Agrafioti, F., Hatzinakos, D., & Anderson, A. K. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.28 · Cited by 476
Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction
Sharma, L. N., Tripathy, R. K., & Dandapat, S. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2405134 · Cited by 296
Quantifying Errors in Spectral Estimates of HRV Due to Beat Replacement and Resampling
Clifford, G. D., & Tarassenko, L. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.844028 · Cited by 285
Self-citationPhotoplethysmography signal processing and synthesis
Mejía-Mejía, E., Allen, J., Budidha, K., El-Hajj, C., Kyriacou, P. A., & Charlton, P. H. (2022) · Photoplethysmography · doi:10.1016/b978-0-12-823374-0.00015-3 · Cited by 138
Satija, U., Ramkumar, B., & Manikandan, M. S. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2877055 · Cited by 102
Ellis, R. J., Zhu, B., Koenig, J., Thayer, J. F., & Wang, Y. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/9/1827 · Cited by 85
A Survey on Psycho-Physiological Analysis & Measurement Methods in Multimodal Systems
Baig, M. Z., & Kavakli, M. (2019) · Multimodal Technologies and Interaction · doi:10.3390/mti3020037 · Cited by 77
Modeling of the photoplethysmogram during atrial fibrillation
Sološenko, A., Petrėnas, A., Marozas, V., & Sörnmo, L. (2017) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2016.12.016 · Cited by 69
Synthetic photoplethysmogram generation using two Gaussian functions
Tang, Q., Chen, Z., Ward, R., & Elgendi, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-69076-x · Cited by 62
Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis
Barrios, L., Oldrati, P., Santini, S., & Lutterotti, A. (2019) · Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3329189.3329215 · Cited by 43
Generating Healthcare Time Series Data for Improving Diagnostic Accuracy of Deep Neural Networks
Maweu, B. M., Shamsuddin, R., Dakshit, S., & Prabhakaran, B. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3077049 · Cited by 35
Online discovery of Heart Rate Variability patterns in mobile healthcare services
Vu, T. H. N., Park, N., Lee, Y. K., Lee, Y., Lee, J. Y., & Ryu, K. H. (2010) · Journal of Systems and Software · doi:10.1016/j.jss.2010.05.074 · Cited by 21
Metadata
- Authors
- McSharry, P. E., Clifford, G. D., Tarassenko, L., & Smith, L. A.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2003-03
- Volume
- 50
- Issue
- 3
- Pages
- 289-294
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2132904166
- Cited by
- 1,224
- References
- 5
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- closed
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