Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations

Photoplethysmography variability (PPGV) is currently considered to be a good surrogate to heart rate variability (HRV) measurements using the time between two pulse waves instead of RR intervals. Nevertheless, the interchangeability between HRV and PPGV has never been evaluated in situations with severe alterations in the autonomic nervous system (ANS). We aimed to identify the conditions for a correct utilization of PPGV in evaluating the consequences of sympathetic stimulations. Nine subjects performed three tests: active orthostatic test, slow walk and moderate and exhaustive cycling exercises in the supine position. Pulse waves at the fingertip and RR intervals were recorded at the same time. We used correlations and the Bland and Altman method to compare and evaluate interchangeability between several HRV indices. Bland and Altman analysis highlighted small discrepancies between PPGV and HRV for all HRV indices in the supine position and for LF(ms)(2), HF(ms)(2), LF(peak) and RMSSD in the upright position. During the slow walk, it was impossible to detect properly PPG peaks. We observed large differences between the two methods during the cycling exercise. In conclusion, PPGV can be used instead of HRV without reserve in the supine position but only for some HRV indices in the upright position and not during slow walk and cycling exercise.

[1]  B. Williams,et al.  AETIOLOGY OF STRIAE GRAVIDARUM , 1974 .

[2]  R. Cohen,et al.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. , 1981, Science.

[3]  D. Adam,et al.  Assessment of autonomic function in humans by heart rate spectral analysis. , 1985, The American journal of physiology.

[4]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[5]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[6]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[7]  J. Miller,et al.  Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. , 1987, The American journal of cardiology.

[8]  R J Cohen,et al.  Beat to beat variability in cardiovascular variables: noise or music? , 1989, Journal of the American College of Cardiology.

[9]  Ferdinand J. Venditti,et al.  Reduced Heart Rate Variability and Mortalit Risk in an Elderly Cohort: The Framingham Heart Study , 1994, Circulation.

[10]  J Conway,et al.  Pitfalls in the interpretation of spectral analysis of the heart rate variability during exercise in humans. , 1995, Acta physiologica Scandinavica.

[11]  K. Nakajima,et al.  Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique. , 1996, Medical engineering & physics.

[12]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[13]  S. Akselrod,et al.  Selective discrete Fourier transform algorithm for time-frequency analysis: method and application on simulated and cardiovascular signals , 1996, IEEE Transactions on Biomedical Engineering.

[14]  G. Breithardt,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. , 1996 .

[15]  I. Constant,et al.  Pulse rate variability is not a surrogate for heart rate variability. , 1999, Clinical science.

[16]  Peter J. Schwartz,et al.  Baroreflex Sensitivity and Heart Rate Variability in the Identification of Patients at Risk for Life-Threatening Arrhythmias Implications for Clinical Trials , 2001 .

[17]  A J Camm,et al.  Baroreflex Sensitivity and Heart Rate Variability in the Identification of Patients at Risk for Life-Threatening Arrhythmias: Implications for Clinical Trials , 2001, Circulation.

[18]  Frédéric Costes,et al.  Autonomic adaptations to intensive and overload training periods: a laboratory study. , 2002, Medicine and science in sports and exercise.

[19]  A. Pichon,et al.  Evaluation of the interchangeability of VO2MAX and oxygen uptake efficiency slope. , 2002, Canadian journal of applied physiology = Revue canadienne de physiologie appliquee.

[20]  Anestis Antoniadis,et al.  Quantification of cumulated physical fatigue at the workplace , 2002, Pflügers Archiv.

[21]  J. N. Watson,et al.  Standard pulse oximeters can be used to monitor respiratory rate , 2003, Emergency medicine journal : EMJ.

[22]  Mika P. Tarvainen,et al.  Software for advanced HRV analysis , 2004, Comput. Methods Programs Biomed..

[23]  A. Johansson,et al.  Monitoring of Heart and Respiratory Rates in Newborn Infants Using a New Photoplethysmographic Technique , 1999, Journal of Clinical Monitoring and Computing.

[24]  [Assessment of arterial compliance and elasticity during graded head-up tilt in healthy people]. , 2005, Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego.

[25]  Allan Kardec Barros,et al.  Assessment of pulse rate variability by the method of pulse frequency demodulation , 2005 .

[26]  Aerobic Training Guided Individually by Daily Heart Rate Variability Measurements: 2583 , 2006 .

[27]  H. Nazeran,et al.  Comparison of Heart Rate Variability Signal Features Derived from Electrocardiography and Photoplethysmography in Healthy Individuals , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[28]  Manuel Roulaud,et al.  Spectral analysis of heart rate variability: interchangeability between autoregressive analysis and fast Fourier transform. , 2006, Journal of electrocardiology.

[29]  Hannu Kinnunen,et al.  Endurance training guided individually by daily heart rate variability measurements , 2007, European Journal of Applied Physiology.

[30]  M. Herr,et al.  Changes of elastic properties of central arteries during acute static exercise and lower body negative pressure , 2008, European Journal of Applied Physiology.

[31]  Westgate Road,et al.  Photoplethysmography and its application in clinical physiological measurement , 2007 .

[32]  K. Chon,et al.  Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information? , 2008, Journal of Clinical Monitoring and Computing.

[33]  N. Selvaraj,et al.  Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography , 2008, Journal of medical engineering & technology.

[34]  M. Herr,et al.  Changes of central haemodynamic parameters during mental stress and acute bouts of static and dynamic exercise , 2008, Journal of Human Hypertension.

[35]  Veikko Louhevaara,et al.  A new heart rate variability-based method for the estimation of oxygen consumption without individual laboratory calibration: application example on postal workers. , 2008, Applied ergonomics.

[36]  L. Porto,et al.  Comparison of Time‐Domain Short‐Term Heart Interval Variability Analysis Using a Wrist‐Worn Heart Rate Monitor and the Conventional Electrocardiogram , 2009, Pacing and clinical electrophysiology : PACE.

[37]  D. Nunan,et al.  Validity and reliability of short-term heart-rate variability from the Polar S810. , 2009, Medicine and science in sports and exercise.