This paper presents a method and system for remote online monitoring of patients’ cardiac rhythm with formation of an alarm signal on detection of episodes of atrial fibrillation. The structure of the system, algorithms, and decision rule for detecting episodes and algorithms for forming alarm signals for the patient and physician are proposed, and results from testing the system using a database of confirmed traces of ECG signals are evaluated.
Similar content being viewed by others
References
Yuldashev, Z. M., Pustozerov, E. A., and Anisimov, A. A., “A multi-level intelligent system for remote monitoring of the health of people with chronic diseases,” Biotekhnosfera, 47, No. 5, 2-8 (2016).
Pan, J. and Tompkins, W. J., “A real-time QRS detection algorithm,” IEEE Trans. Biomed. Eng., 32, 230-236 (1985).
Zhang, Q., Manriquez, A. I., Medigue, C., Papelier, Y., and Sorine, M., “An algorithm for robust and efficient location of T-wave ends in electrocardiograms,” IEEE Trans. Biomed. Eng., 53, No. 12, 2544-2552 (2006).
Langley, P., Bernado, D., Allen, J., Bowers, E., Smith, F. E., Vecchietti, S., and Murray, A., “Can paroxysmal atrial fibrillation be predicted?,” Comput. Cardiol., 28, 121-124 (2001).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Meditsinskaya Tekhnika, Vol. 51, No. 3, May-Jun., 2017, pp. 28-31.
Rights and permissions
About this article
Cite this article
Nguyen, T.T., Yuldashev, Z.M. & Sadykova, E.V. A Remote Cardiac Rhythm Monitoring System for Detecting Episodes of Atrial Fibrillation. Biomed Eng 51, 189–194 (2017). https://doi.org/10.1007/s10527-017-9712-9
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10527-017-9712-9