A Smart IoT Gateway Capable of Prescreening for Atrial Fibrillation
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20936-9_9
Reference28 articles.
1. Asgari, S., Mehrnia, A., Moussavi, M.: Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine. Comput. Biol. Med. 60, 132–142 (2015)
2. Babaeizadeh, S., Gregg, R.E., Helfenbein, E.D., Lindauer, J.M., Zhou, S.H.: Improvements in atrial fibrillation detection for real-time monitoring. J. Electrocardiol. 42(6), 522–526 (2009)
3. Censi, F., et al.: P-wave morphology assessment by a Gaussian functions-based model in atrial fibrillation patients. IEEE Trans. Biomed. Eng. 54(4), 663–672. (2007). Conference Name: IEEE Transactions on Biomedical Engineering
4. Cheng, S., Tamil, L.S., Levine, B.: A mobile health system to identify the onset of paroxysmal atrial fibrillation. In: 2015 International Conference on Healthcare Informatics, pp. 189–192 (2015)
5. Chugh, S.S., et al.: Worldwide epidemiology of atrial fibrillation: a global burden of disease 2010 study. Circulation 129(8), 837–847 (2014)
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