Publisher : The Korean Institute of Electrical Engineers
DOI : 10.5370/KIEE.2015.64.8.1240
Title & Authors
Evaluation of the Ambient Temperature Effect for the Autonomic Nervous Activity of the Young Adult through the Frequency Analysis of the Heart Rate Variability Shin, Hangsik;
The purpose of this paper is to investigate the autonomic nervous system activity in various ambient temperatures. To evaluate autonomic function, we use the frequency domain analysis of heart rate variability such as FFT(fast fourier transformation), AR(Auto-Regressive) model and Lomb-Scargle peridogram. HRV(heart rate variability) is calculated by using ECG recorded from 3 different temperature room which temperature is controlled in 18℃(low), 25℃(mid) and 38℃(high), respectively. Totally 22 subjects were participated in the experiment. In the results, the most significant autonomic changes caused by temperature load were found in the HF(high frequency) component of FFT and AR model. And the HF power is decreased by increasing temperature. Significance level was increased by increasing the difference of temperatures.
J. E. Hall, Guyton and Hall Textbook of Medical Physiology: Enhanced E-book: Elsevier Health Sciences, 2010.
G. G. Berntson, “Heart rate variability: Origins, methods, and interpretive caveats,” Psychophysiology, vol. 34, pp. 623-648, 1997.
A. Camm, M. Malik, J. Bigger, G. Breithardt, S. Cerutti, R. Cohen, et al., “Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology,” Circulation, vol. 93, pp. 1043-1065, 1996.
J. A. Hirsch and B. Bishop, “Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate,” Am J Physiol, vol. 241, pp. H620-9, Oct 1981.
H. Luczak and W. Laurig, “An analysis of heart rate variability,” Ergonomics, vol. 16, pp. 85-97, Jan 1973.
J. J. Sollers, 3rd, T. A. Sanford, R. Nabors-Oberg, C. A. Anderson, and J. F. Thayer, “Examining changes in HRV in response to varying ambient temperature,” IEEE Eng Med Biol Mag, vol. 21, pp. 30-4, Jul-Aug 2002.
S. Wu, F. Deng, Y. Liu, M. Shima, J. Niu, Q. Huang, et al., “Temperature, traffic-related air pollution, and heart rate variability in a panel of healthy adults,” Environ Res, vol. 120, pp. 82-9, Jan 2013.
C. Ren, M. S. O'Neill, S. K. Park, D. Sparrow, P. Vokonas, and J. Schwartz, “Ambient temperature, air pollution, and heart rate variability in an aging population,” American journal of epidemiology, vol. 173, pp. 1013-1021, 2011.
K. Okamoto-Mizuno, K. Tsuzuki, K. Mizuno, and Y. Ohshiro, “Effects of low ambient temperature on heart rate variability during sleep in humans,” Eur J Appl Physiol, vol. 105, pp. 191-7, Jan 2009.
A. Boardman, F. S. Schlindwein, A. P. Rocha, and A. Leite, “A study on the optimum order of autoregressive models for heart rate variability,” Physiol Meas, vol. 23, pp. 325-36, May 2002.
J. G. Proakis, Digital signal processing: principles algorithms and applications: Pearson Education India, 2001.
D. Fonseca, A. Netto, R. Ferreira, and A. de Sa, “Lomb-scargle periodogram applied to heart rate variability study,” in Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP, 2013, pp. 1-4.
J. D. Scargle, “Studies in astronomical time series analysis. II-Statistical aspects of spectral analysis of unevenly spaced data,” The Astrophysical Journal, vol. 263, pp. 835-853, 1982.
J. D. Scargle, “Studies in astronomical time series analysis. III-Fourier transforms, autocorrelation functions, and cross-correlation functions of unevenly spaced data,” The Astrophysical Journal, vol. 343, pp. 874-887, 1989.
A. AC08024865 “Ergonomics of the thermal environment-Analytical determination an interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria: ISO”, 2005.
Y. Sunwoo, C. Chou, J. Takeshita, M. Murakami, Y. Tochihara, “Physiological and subjective responses to low relative humidity in young and elderly men,” J Physiol Anthropol vol. 25, pp. 229-238, 2006.
J. Pan and W. J. Tompkins, “A real-time QRS detection algorithm,” Biomedical Engineering, IEEE Transactions on, pp. 230-236, 1985.