The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Real-Time Classification of ECGs on a PDA
Abstract
The new advances in sensor technology, personal digital assistants (PDAs), and wireless communications favor the development of a new type of monitoring system that can provide patients with assistance anywhere and at any time. Of particular interest are the monitoring systems designed for people that suffer from heart arrhythmias, due to the increasing number of people with cardiovascular diseases. PDAs can play a very important role in these kinds of systems because they are portable devices that can execute more and more complex tasks. The main questions answered in this paper are whether PDAs can perform a complete electrocardiogram beat and rhythm classifier, if the classifier has a good accuracy, and if they can do it in real time. In order to answer these questions, in this paper, we show the steps that we have followed to build the algorithm that classifies beats and rhythms, and the obtained results, which show a competitive accuracy. Moreover, we also show the feasibility of incorporating the built algorithm into the PDA.
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Citations
Cites
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Cited by
Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals
Ye, C., Kumar, B. V. K. V., & Coimbra, M. T. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2213253 · Cited by 522
A novel application of deep learning for single-lead ECG classification
Mathews, S. M., Kambhamettu, C., & Barner, K. E. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.013 · Cited by 322
Prognosis—A Wearable Health-Monitoring System for People at Risk: Methodology and Modeling
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2040085 · Cited by 136
Brock, T. P., & Smith, S. R. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.09.024 · Cited by 100
Lee, S., Chu, Y., Ryu, J., Park, Y. J., Yang, S., & Koh, S. B. (2022) · Yonsei Medical Journal · doi:10.3349/ymj.2022.63.s93 · Cited by 88
Metadata
- Authors
- Rodriguez, J., Goni, A., & Illarramendi, A.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2005-03
- Volume
- 9
- Issue
- 1
- Pages
- 23-34
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2025492635
- Cited by
- 237
- References
- 1
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rodriguez, J., Goni, A., & Illarramendi, A. (2005). Real-Time Classification of ECGs on a PDA. IEEE Transactions on Information Technology in Biomedicine. https://doi.org/10.1109/titb.2004.838369
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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.
