Cardiac Surveillance System Using by the Modified Kalman Filter
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21385-4_10
Reference21 articles.
1. Peters, A.E., Keeley, E.C.: Trends and predictors of participation in cardiac rehabilitation following acute myocardial infarction: data from the behavioral risk factor surveillance system. J. Am. Heart Assoc. 7(1), e007664 (2017)
2. Palanivel Rajan, S., Sukanesh, R.: Experimental studies on intelligent, wearable and automated wireless mobile tele-alert system for continuous cardiac surveillance. J. Appl. Res. Technol. 11(1), 133–143 (2013)
3. Brovko, O., Wiberg, D.M., Arena, L., Bellville, J.W.: The extended Kalman filter as a pulmonary blood flow estiṁator. Automatica 17(1), 213–220 (1981)
4. Li, Q., Mark, R.G., Clifford, G.D.: Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter. Physiol. Measur. 29(1), 15 (2007)
5. Zhang, Q., et al.: Cuff-less blood pressure measurement using pulse arrival time and a Kalman filter. J. Micromech. Microeng. 27(2), 024002 (2017)
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