1. Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China; 2. Air Force Medical Center, PLA, Beijing 100142, China; 3. Medical Big Data Research Center, Chinese PLA General Hospital, Beijing 100853, China; 4. Department of Medical Engineering Management, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan Shandong 250021, China
Comparison of Heart Rate Variability between Normoxia and Hypobaric Hypoxia Exposure
1. Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China; 2. Air Force Medical Center, PLA, Beijing 100142, China; 3. Medical Big Data Research Center, Chinese PLA General Hospital, Beijing 100853, China; 4. Department of Medical Engineering Management, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan Shandong 250021, China
摘要This study aimed to use the sample entropy (SampEn) method to compare the difference between normoxia and hypobaric hypoxia exposure in heart rate variability. Eight healthy male volunteers were included in this research. For each subject, electrocardiography and finger pulse signal were recorded to obtain the heart rate time series. The SpO2 signal was collected at the same time. In normoxia or hypobaric hypoxia 4300 m section, the segment of RR time series from the second 5 min episode (from the 6th to the 10th min) was chosen for the SampEn calculation. The differences between normoxia and hypobaric hypoxia states were analyzed. Results showed that a significant difference exists in SampEn between two states (normoxia 0.54±0.05 vs hypobaric hypoxia 4300 m exposure 0.46±0.05), indicating the regulatory mechanisms of autonomic nervous system from a nonlinear perspective.
Abstract:This study aimed to use the sample entropy (SampEn) method to compare the difference between normoxia and hypobaric hypoxia exposure in heart rate variability. Eight healthy male volunteers were included in this research. For each subject, electrocardiography and finger pulse signal were recorded to obtain the heart rate time series. The SpO2 signal was collected at the same time. In normoxia or hypobaric hypoxia 4300 m section, the segment of RR time series from the second 5 min episode (from the 6th to the 10th min) was chosen for the SampEn calculation. The differences between normoxia and hypobaric hypoxia states were analyzed. Results showed that a significant difference exists in SampEn between two states (normoxia 0.54±0.05 vs hypobaric hypoxia 4300 m exposure 0.46±0.05), indicating the regulatory mechanisms of autonomic nervous system from a nonlinear perspective.
通讯作者:
Yuanyuan Liu, Department of Medical Engineering Integration, School of Control, Shandong University, Jinan Shandong 250061, China. E-mail address: liuyy@sdu.edu.cn
引用本文:
Yuanyuan Liu, Zhengtao Cao, Mengsun Yu, Jun Yang, Binhua Wang, Yingying Ma. Comparison of Heart Rate Variability between Normoxia and Hypobaric Hypoxia Exposure[J]. 中国生物医学工程学报(英文版), 2020, 29(2): 25-30.
Yuanyuan Liu, Zhengtao Cao, Mengsun Yu, Jun Yang, Binhua Wang, Yingying Ma. Comparison of Heart Rate Variability between Normoxia and Hypobaric Hypoxia Exposure. Chinese Journal of Biomedical Engineering, 2020, 29(2): 25-30.
[1] Boos CJ, Bye K, Sevier L,et al. High altitude affects nocturnal non-linear heart rate variability: PATCH-HA study[J].Front in Phy,2018,9:1-7. [2] Burtscher M. Risk of cardiovascular events during mountain activities[J].Adv Exp Med Biol, 2007,618:1-11. [3] Roche F, Reynaud C, Garet M, et al. Cardiac baroreflex control in humans during and immediately after brief exposure to simulated high altitude[J].Clin Physiol Funct Imaging, 2002,22:301-306. [4] Saito S, Tanobe K. Relationship between arterial oxygen saturation and heart rate variability at high attitudes[J].Am J Emerg Med, 2005,23:8-12. [5] Farinelli C, Kayser B, Binzoni T, et al. Autonomic nervous control of heart rate at altitude (5050 m) [J].Eur J Appl Physiol, 1994,69:502-507. [6] Perini R, Milesi S, Biancardi L, et al. Effects of high altitude acclimatization on heart rate variability in resting humans[J].Eur J Appl Physiol, 1996,73:521-528. [7] Iwasaki K, Aoki, K, Saitoh, T, et al. Cardiovascular regulation response to hypoxia during stepwise decreases from 21% to 15% inhaled oxygen. Aviat[J].Space Envir Md, 2006,77:1015-1019. [8] Malliani A, Pagani M, Lombardi F, et al. Cardiovascular neural regulation explored in the frequency domain[J].Circulation, 1991,84:482-492. [9] Yasuma F, Hayano JI. Impact of acute hypoxia on heart rate and blood pressure variability in conscious dogs[J].Am J Physiol-Heart C, 2000,279:2344-2349. [10] Cao ZT, Liu YY, Liu CY, et al. Analysis of heart rate variability between rest and exercise states in hypoxic environment using fuzzy measure entropy[C]. 8th ITME, 2016: 83-89. [11] Martinez JP, Almeida R, Olmos S, et al. A wavelet-based ECG delineator: evaluation on standard databases[J].IEEE T Bio-Med Eng,2004,51:570-581. [12] Liu CY, Li LP, Zhao LN, et al. A combination method of improved impulse rejection filter and template matching for identification of anomalous intervals in electrocardiographic RR sequences[J].J Med Biol Eng,2012,32:245-251. [13] Richman JS, Randall JM. Physiological time-series analysis using approximate entropy and sample entropy[J].Am J Physiol Heart Circ Physiol,2000,278:2039-2049. [14] Douglas EL, Joshua SR, Pamela GM, et al. Sample entropy analysis of neonatal heart rate variability[J].Ame J of Physi-Reg, Int and Com Physiol, 2002,283:R789-R797. [15] Pincus SM. Approximate entropy as a measure of system complexity[J].Proc of the Nat Aca of Sci, 1991,88:2297-2301. [16] Pincus SM, Keefe DL. Quantification of hormone pulsatility via an approximate entropy algorithm[J].Am J Physiol, 1992,262:741-754. [17] World Health Organization. International travel and health[M]. Geneva, Switzerland: WHO, 2005:12-13. [18] Zhang D, She J, Zhang ZB, et al. Effects of acute hypoxia on heart rate variability, sample entropy and cardiorespiratory phase synchronization[J].Bio Med Eng OnL, 2014,13:1-12. [19] Kanai M, Nishihara F, Shiga T, et al. Alterations in autonomic nerve control of heart rate among tourists at 2700 and 3700 m above sea level[J].Wilderness Environ Med, 2001,12:8-12. [20] Vigo DE, Pérez Lloret S, Videla AJ, et al. Heart rate nonlinear dynamics during sudden hypoxia at 8230 m simulated altitude[J].Wilderness Environ Med, 2010,21:4-10. [21] Barron HV, Viskin S. Autonomic markers and prediction of cardiac death after myocardial infarction[J].Lancet, 1998,351:461-462. [22] Petra Z, Tanja P, Zarko F. Effect of hypobaric hypoxia on heart rate variability during exercise: a pilot field study[J].Euro J Appl Physiol, 2009,107:345-350. [23] Porta A, Gnecchi T, Tobaldini E, et al. Progressive decrease of heart period variability entropy-based complexity during graded head-up tilt[J].J Appl Physiol, 2007,103:1143-1149. [24] Penttila J, Helminen A, Jartti T, et al. Effect of cardiac vagal outflow on complexity and fractal correlation properties of heart rate dynamics[J].Auto Auta Harm, 2003,23:173-179. [25] Porta A, Guzzetti S, Furlan R, et al. Complexity and nonlinearity in short-term heart period variability: comparison of methods based on local nonlinear prediction[J].IEEE T Bio Eng, 2007,54:94-106. [26] Goncalves H, Henriques CT, Bernardes J, et al. Linear and nonlinear heart-rate analysis in a rat model of acute anoxia[J].Physiol. Meas, 2008,29:1133-1143. [27] Heffernan KS, Fahs CA, Shinsako KK, et al. Heart rate recovery and heart rate complexity following resistance exercise training and detraining in young men[J].Am J Physiol Heart Circ Physiol,2007,293:H3180-H3186. [28] Lu S, Chen X, Kanters J, et al. Automatic selection of the threshold value r for approximate entropy[J].IEEE T Bio-Med Eng, 2008,55:1966-1972. [29] Chon K, Scully C, Lu S. Approximate entropy for all signals. IEEE Eng[J].Med Biol,2009,28:18-23. [30] Liu CY, Liu CC, Shao P, et al. Comparison of different threshold values r for approximate entropy: application to investigate the heart rate variability between heart failure and healthy control groups[J].Physiol Meas, 2011,32:167-180.