Commenced in January 2007
Paper Count: 30184
Effect of Physical Contact (Hand-Holding) on Heart Rate Variability
Abstract:Heart-s electric field can be measured anywhere on the surface of the body (ECG). When individuals touch, one person-s ECG signal can be registered in other person-s EEG and elsewhere on his body. Now, the aim of this study was to test the hypothesis that physical contact (hand-holding) of two persons changes their heart rate variability. Subjects were sixteen healthy female (age: 20- 26) which divided into eight sets. In each sets, we had two friends that they passed intimacy test of J.sternberg. ECG of two subjects (each set) acquired for 5 minutes before hand-holding (as control group) and 5 minutes during they held their hands (as experimental group). Then heart rate variability signals were extracted from subjects' ECG and analyzed in linear feature space (time and frequency domain) and nonlinear feature space. Considering the results, we conclude that physical contact (hand-holding of two friends) increases parasympathetic activity, as indicate by increase SD1, SD1/SD2, HF and MF power (p<0.05) and decreases sympathetic activity, as indicate by decrease LF power (p<0.01) and LF/HF ratio (p<0.05).
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334031Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2601
 R. McCraty, M. Atkinson, D. Tomasino, W.Tiller, "The Electricity of Touch: Detection and measurement of cardiac energy exchange between people," In: K.H. Pribram, ed. Brain and Values: Is a Biological Science of Values Possible. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers, 1998: 359-379.
 R. McCraty, "The Energetic Heart: Bioelectromagnetic Communication Within and Between People," Chapter published in: Clinical Applications of Bioelectromagnetic Medicine, edited by Rosch P J and Markov M S. New York: Marcel Dekker: 541-562, 2004.
 R. McCraty, "The Scientific Role of the Heart in Learning and Performance," HeartMath Research Center, Institute of HeartMath, Publication No. 02-030, Boulder Creek, CA, 2002.
 J.I Lacey and B.C. Lacey , "Two-way communication between the heart and the brain: Significance of time within the cardiac cycle," American Psychologist, February 1978; 99-113.
 W.A. Tiller, R. McCraty, M. Atkinson, "Cardiac coherence: a new, noninvasive measure of autonomic nervous system order," Alternative Therapies Health Med, 1996; 2:52-65.
 D. Childre, R. Mccraty, M. Atkinson, "Method and Apparatus for Facilitating Physiological Coherence and Autonomic Balance," 2000. Available: http://www.faqs.org/patents/app/20090137915.
 R. McCraty, "Influence of Cardiac Afferent Input on Heart-Brain Synchronization and Cognitive Performance," International Journal of Psychophysiology, 45(1-2):72-73, 2002.
 R. McCraty, M. Atkinson, W.A. Tiller, G. Rein, A.D. Watkins, "The effects of emotions on short term heart rate variability using power spectrum analysis," American Journal of Cardiology, 1995; 76:1089- 1093.
 J. Pan and W.J. Tompkins, "A Real-Time QRS Detection Algorithm," IEEE Transactions On Biomedical Engineering, VOL. BME-32, NO. 3, March 1985.
 Mika P. Tarvainen and Juha-Pekka Niskanen. User-s Guide of Kubios HRV version 2.0. Biosignal Analysis and Medical Imaging Group (BSAMIG). 2008. Available: http://kubios.uku.fi.
 S.L. Marple, "Digital Spectral Analysis," Prentice-Hall International, 1987.
 M. Brennan, M. Palaniswami, and P. Kamen , "Do existing measures of Poincar'e plot geometry reflect nonlinear features of heart rate variability," IEEE Trans Biomed Eng, 48(11):1342-1347, November 2001.
 S. Carrasco, M.J. Cait'an, R. Gonz'alez, and O. Y'anez, "Correlation among Poincar'e plot indexes and time and frequency domain measures of heart rate variability," J Med Eng Technol, 25(6):240-248, November/December 2001.
 J.A. Richman. and J.R. Moorman, "Physiological time-series analysis using approximate entropy and sample entropy," Am J Physiol, 278:H2039-H2049, 2000.
 Y. Fusheng, H. Bo, and T. Qingyu, "Approximate entropy and its application in biosignal analysis," InM. Akay, editor, Nonlinear Biomedical Signal Processing: Dynamic Analysis and Modeling, volume II, chapter 3, pages 72-91. IEEE Press, New York, 2001.
 B. Henry, N. Lovell, and F. Camacho, "Nonlinear dynamics time series analysis," In M. Akay, editor, Nonlinear Biomedical Signal Processing: Dynamic Analysis and Modeling, volume II, chapter 1, pages 1-39. IEEE Press, New York, 2001.
 C.-K. Peng, S. Havlin, H.E. Stanley., and A.L.Goldberger, "Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series," Chaos, 5:82-87, 1995.
 T. Penzel, J.W. Kantelhardt, L. Grote, J.-H. Peter, and A. Bunde, "Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea," IEEE Trans Biomed Eng, 50(10):1143-1151, October 2003.
 M.P. Tulppo, T.H. M├ñkikallio, T.E.S. Takala, T. Sepp├ñnen, H.V. Huikuri, "Quantitative beat-to-beat analysis of heart rate dynamics during exercise," Am. J. Physiol, vol. 271, pp. H244-H252, 1996.
 N. Jafarnia-Dabanlooa, D.C. McLernona, H. Zhangb, A. Ayatollahic, V. Johari-Majd, "A modified Zeeman model for producing HRV signals and its application to ECG signal generation", Elsevier Ltd, 2006.
 S. Akselrod, D. Gordon, F.A. Ubel, D.C. Shannon, A.C. Barger, R.J. Conen, "Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control," Science, 1981, 213:220- 222.