{"title":"Optimal ECG Sampling Frequency for Multiscale Entropy-Based HRV","authors":"Manjit Singh","volume":134,"journal":"International Journal of Biomedical and Biological Engineering","pagesStart":26,"pagesEnd":31,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10008566","abstract":"Multiscale entropy (MSE) is an extensively used index to provide a general understanding of multiple complexity of physiologic mechanism of heart rate variability (HRV) that operates on a wide range of time scales. Accurate selection of electrocardiogram (ECG) sampling frequency is an essential concern for clinically significant HRV quantification; high ECG sampling rate increase memory requirements and processing time, whereas low sampling rate degrade signal quality and results in clinically misinterpreted HRV. In this work, the impact of ECG sampling frequency on MSE based HRV have been quantified. MSE measures are found to be sensitive to ECG sampling frequency and effect of sampling frequency will be a function of time scale.","references":"[1]\tEckberg, D. L. (2011). Sympathovagal balance. Circulation, 96, 3224-3232.\r\n[2]\tTask Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). Heart rate variability - standards of measurement, physiological interpretation and clinical use. European Heart Journal, 17, 354-381.\r\n[3]\tAcharya, U. R., Joseph, K. P., Kannathal, N., Lim, C. M., Suri, J. S. (2006). Heart rate variability: a review. Medical and Biological Engineering and Computing, 44, 1031-1051.\r\n[4]\tSingh, B., Singh, D., (2011). Ectopic beats and editing methods for Poincar\u00e9-plot-based HRV. International Journal. Biomedical Engineering and Technology, 7(4), 353\u2013364.\r\n[5]\tBerntson, G. G., Bigger, J. T., Eckberg, D.L., Grossman P., Kaufmann, P. G., Malik, M., Nagaraja, N., Porges, S. W., Saul, J. 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