http://orcid.org/0000-0003-4095-678X
References
- Task Force of the European Society of Cardiology and North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurements, physiological interpretation, and clinical use. Eur Heart J. 1996;17:354–381.
- Srinivas K, Ram Gopal Reddy L. Reduced data dual scale entropy analysis of HRV signals for improved congestive heart failure detection. Meas Sci Rev. 2014;14:294–301.
- Vescio B, Salsone M, Gambardella A, et al. Comparison between electrocardiographic and earlobe pulse photoplethysmographic detection for evaluating heart rate variability in healthy subjects in short- and long-term recordings. Sensors. 2018;18:844.
- Schäfer A, Vagedes J. How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram. Int J Cardiol. 2013;166:15–29.
- Lu S, Zhao H, Ju K, et al. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information? J Clin Monit Comput. 2008;22:23–29.
- Selvaraj N, Jaryal A, Santhosh J, et al. Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography. J Med Eng Technol. 2008;32:479–484.
- Lu G, Yang F, Taylor JA, et al. A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects. J Med Eng Technol. 2009;33:634–641.
- Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. J R Stat Soc D (Stat). 1983;32:307–317.
- Hall JE, Guyton AC. Textbook of medical physiology. 11th ed. Pennsylvania (PA): Elsevier Saunders; 2006.
- Benitez D, Gaydecki PA, Zaidi A, et al. The use of the Hilbert transform in ECG signal analysis. Comput Biol Med. 2001;31:399–406.
- Zahedi E, Chellappan K, Ali MAM, et al. Analysis of the effect of ageing on rising edge characteristics of the photoplethysmogram using a modified Windkessel model. Cardiovasc Eng. 2007;7:172–178.
- Politi MT, Ghigo A, Fernández JM, et al. The dicrotic notch analyzed by a numerical model. Comput Biol Med. 2016;72:54–64.
- Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiol Meas. 2007;28:R1–R39.
- Dutch J, Redman S. Psychological stress and arterial pulse transit time. N Z Med J. 1983;96:607–609.
- Yang B, Chon KH. A novel approach to monitor nonstationary dynamics in physiological signals: application to blood pressure, pulse oximeter, and respiratory data. Ann Biomed Eng. 2010;38:3478–3488.