A New Method in Short-Term Heart Rate Variability — Five-Class Density Histogram
A five-class density histogram with an index named cumulative density was proposed to analyze the short-term HRV. 150 subjects participated in the test, falling into three groups with equal numbers -- the healthy young group (Young), the healthy old group (Old), and the group of patients with congestive heart failure (CHF). Results of multiple comparisons showed a significant differences of the cumulative density in the three groups, with values 0.0238 for Young, 0.0406 for Old and 0.0732 for CHF (p<0.001). After 7 days and 14 days, 46 subjects from the Young and Old groups were retested twice following the same test protocol. Results showed good-to-excellent interclass correlations (ICC=0.783, 95% confidence interval 0.676-0.864). The Bland-Altman plots were used to reexamine the test-retest reliability. In conclusion, the method proposed could be a valid and reliable method to the short-term HRV assessment.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1327802Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1511
 Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, "Heart rate variability: standards of measurement, physiological interpretation and clinical use," Circulation, vol.93, no.5, pp. 1043-1065, 1996.
 Y. Gang and M. Malik, "Heart Rate Variability: Measurements and Risk Stratification," in Electrical Diseases of the Heart, 1st ed. I. Gussak, C. Antzelevitch, A. Wilde, et al. Ed. London, Springer, 2008, pp. 365-378.
 A. Rajendra, J. Paul, N. Kannathal, et al., "Heart rate variability: a review," Med Bio Eng Comput, vol.44, no.12, pp. 1031-1051, 2006.
 G. Berntson, J. Bigger, D. Eckberg, et al., "Heart rate variability: origins, methods, and interpretive caveats," Psychophysiology, vol.34, no.6, pp. 623-648, 1997.
 R. Kleiger, P. Stein, and J. Bigger Jr, "Heart rate variability: measurement and clinical utility," Ann Noninvasive Electrocardiol, vol. 10, no. 1, pp. 88-101, 2005.
 C. Li, C. Zheng, and C. Tai, "Detection of ECG characteristic points using wavelet transforms", IEEE Trans Biomed Eng, vol.42, no.1, pp. 21-28, 1995ÒÇé
 J. Mart├¡nez, R. Almeida, S. Olmos, et al., "A wavelet-based ECG delineator: evaluation on standard databases", IEEE Trans Biomed Eng, vol.51, no.4, pp. 570-581, 2004.
 J. Mateo, and P. Laguna, "Analysis of heart rate variability in the presence of ectopic beats using the heart timing signal," IEEE Trans Biomed Eng, vol. 50, no. 3, pp. 334-343, 2003.
 K. Solem, P. Laguna, and L. Sornmo, "An efficient method for handling ectopic beats using the heart timing signal," IEEE Trans Biomed Eng, vol. 53, no. 1, pp. 13-20, 2006.
 J. Mcnames, T. Thong, and M. Aboy, "Impulse rejection filter for artifact removal in spectral analysis of biomedical signals," in Proc. 26th Annu. Int. Conf. IEEE-EMBS, San Francisco, CA, 2004, pp. 145-148.
 L. Li, J. Yang, C. Liu, B. Li, and C. Liu, "An impulse rejection filter based on moving window for artifact removal in RR interval series," J Optoelectron Laser, vol. 21, no. 9, pp. 1426-1430, 2010.
 J. Landis, and G. Koch, "The measurement of observer agreement for categorical data," Biometrics, vol. 33, no. 1, pp. 159-174, 1977.
 M. Pitzalis, F. Mastropasqua, F. Massari, et al., "Short- and long-term reproducibility of time and frequency domain heart rate variability measurements in normal subjects," Cardiovasc Res, vol. 32, no. 2, pp. 226-233, 1996.