Abstract
Heart rate variability (HRV), extracted from an electrocardiogram, is known to be a noninvasive indicator reflecting the dynamic interplay between perturbations to cardiovascular function and the dynamic response of the cardiovascular regulatory system. Photoplethysmography (PPG) is a noninvasive method to monitor arterial oxygen saturation on a continuous basis. Given the rich cardiovascular information in the PPG signal, and the ubiquity and simplicity of pulse oximetry, we are investigating the feasibility of acquiring dynamics pertaining to the autonomic nervous system from PPG waveforms. To do this, we are quantifying PPG variability (PPGV). Detailed algorithmic approaches for extracting accurate PPGV signals are presented. We compare PPGV to HRV by computing time and frequency domain parameters often associated with HRV measurements, as well as approximate entropy calculations. Our results demonstrate that the parameters of PPGV are highly correlated with the parameters of HRV. Thus, our results indicate that PPGV could be used as an alternative measurement of HRV.
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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 1996; 93: 1043–1065
Akselrod S, Gordon D, Madwed JB, Snidman NC, Shannon DC, Cohen RJ 1985 Hemodynamic regulation: investigation by spectral analysis. Am J Physiol 249: H867–H875
Bigger JT Jr., Fleiss JL, Rolnitzky LM, Steinman RC, Schneider WJ 1991 Time course of recovery of heart period variability after myocardial infarction. J Am Coll Cardiol 18: 1643–1649
Broome IJ, Mason RA 1988 Identification of autonomic dysfunction with a pulse oximeter. Anaesthesia 43: 833–836
Davies CT, Neilson JM 1967 Sinus arrhythmia in man at rest. J Appl Physiol 22: 947–955
Eckberg DL 1997 Sympathovagal balance: a critical appraisal. Circulation 96: 3224–3232
Huang W, Shen Z, Huang NE, Fung YC 1998 Engineering analysis of biological variables: an example of blood pressure over 1 day. Proc Natl Acad Sci U S A 95: 4816–4821
Huang W, Shen Z, Huang NE, Fung YC 1998 Use of intrinsic modes in biology: examples of indicial response of pulmonary blood pressure to +/- step hypoxia. Proc Natl Acad Sci USA 95: 12766–12771
Huikuri HV, Koistinen MJ, Yli-Mayry S, Airaksinen KE, Seppanen T, Ikaheimo MJ, Myerburg RJ 1995 Impaired low-frequency oscillations of heart rate in patients with prior acute myocardial infarction and life-threatening arrhythmias. Am J Cardiol 76: 56–60
Kleiger RE, Miller JP, Bigger JT Jr., Moss AJ 1987 Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol 59: 256–262
Modi KD, Sharma AK, Mishra SK, Mithal A 1997 Pulse oximetry for the assessment of autonomic neuropathy in diabetic patients. J Diabetes Complications 11: 35–39
Huang NE, SRL, Shen Z. The mechanism for frequency downshift in nonlinear wave evolution. Adv Appl Mech 1996; 32: 59–111
Pincus SM 1991 Approximate entropy as a measure of system complexity. Proc Natl Acad Sci USA 88: 2297–2301
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Lu S, Zhao H, Ju K, Shin KS, Lee MH, Shelley K, Chon KH. Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?
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Lu, S., Zhao, H., Ju, K. et al. Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information?. J Clin Monit Comput 22, 23–29 (2008). https://doi.org/10.1007/s10877-007-9103-y
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DOI: https://doi.org/10.1007/s10877-007-9103-y