Spontaneous fluctuations in the peripheral photoplethysmographic waveform: roles of arterial pressure and muscle sympathetic nerve activity.

Assessment of spontaneous slow waves in the peripheral blood volume using the photoplethysmogram (PPG) has shown potential clinical value, but the physiological correlates of these fluctuations have not been fully elucidated. This study addressed the contribution of arterial pressure and muscle sympathetic nerve activity (MSNA) in beat-to-beat PPG variability in resting humans under spontaneous breathing conditions. Peripheral PPG waveforms were measured from the fingertip, earlobe, and toe in young and healthy individuals (n = 13), together with the arterial pressure waveform, electrocardiogram, respiration, and direct measurement of MSNA by microneurography. Cross-spectral coherence analysis revealed that among the PPG waveforms, low-frequency fluctuations (0.04-0.15 Hz) in the ear PPG had the highest coherence with arterial pressure (0.71 ± 0.15) and MSNA (0.44 ± 0.18, with a peak of 0.71 ± 0.16 at 0.10 ± 0.03 Hz). The normalized midfrequency powers (0.08-0.15 Hz), with an emphasis on the 0.1-Hz region, were positively correlated between MSNA and the ear PPG (r = 0.77, P = 0.002). Finger and toe PPGs had lower coherence with arterial pressure (0.35 ± 0.10 and 0.30 ± 0.11, respectively) and MSNA (0.33 ± 0.10 and 0.26 ± 0.10, respectively) in the LF band but displayed higher coherence between themselves (0.54 ± 0.09) compared with the ear (P < 0.001), which may suggest the dominance of regional vasomotor activities and a common sympathetic influence in the glabrous skin. These findings highlight the differential mechanisms governing PPG waveform fluctuations across different body sites. Spontaneous PPG variability in the ear includes a major contribution from arterial pressure and MSNA, which may provide a rationale for its clinical utility.

[1]  M. Piepoli,et al.  Autonomic control of the heart and peripheral vessels in human septic shock , 1995, Intensive Care Medicine.

[2]  R. Magatelli,et al.  Detection of low- and high-frequency rhythms in the variability of skin sympathetic nerve activity. , 2000, American journal of physiology. Heart and circulatory physiology.

[3]  N. Kondo,et al.  Modulation of the control of muscle sympathetic nerve activity during severe orthostatic stress , 2006, The Journal of physiology.

[4]  K. Hagbarth,et al.  Thermoregulatory and rhythm‐generating mechanisms governing the sudomotor and vasoconstrictor outflow in human cutaneous nerves. , 1980, The Journal of physiology.

[5]  Victor A. Convertino,et al.  Pulse Oximeter Plethysmographic Waveform Changes in Awake, Spontaneously Breathing, Hypovolemic Volunteers , 2011, Anesthesia and analgesia.

[6]  J S Floras,et al.  Frequency domain characteristics of muscle sympathetic nerve activity in heart failure and healthy humans. , 1997, The American journal of physiology.

[7]  Karim Bendjelid,et al.  Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients , 2007, Intensive Care Medicine.

[8]  B. Wallin,et al.  Modulation of muscle sympathetic activity during spontaneous and artificial ventilation and apnoea in humans. , 1995, Journal of the autonomic nervous system.

[9]  Hendrik Lehnert,et al.  Endotoxemia causes central downregulation of sympathetic vasomotor tone in healthy humans. , 2008, American journal of physiology. Regulatory, integrative and comparative physiology.

[10]  N. Lovell,et al.  Identification of high-risk acute coronary syndromes by spectral analysis of ear photoplethysmographic waveform variability , 2011, Physiological measurement.

[11]  H. Asada,et al.  Utility of the Photoplethysmogram in Circulatory Monitoring , 2008, Anesthesiology.

[12]  B. Wallin,et al.  Age-Related Differences in the Sympathetic-Hemodynamic Balance in Men , 2009, Hypertension.

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

[14]  M. Nitzan,et al.  Influence of thoracic sympathectomy on cardiac induced oscillations in tissue blood volume , 2001, Medical and Biological Engineering and Computing.

[15]  D. Galletly,et al.  Effect of propofol on heart rate, arterial pressure and digital plethysmograph variability. , 1994, British journal of anaesthesia.

[16]  Caroline A Rickards,et al.  Muscle sympathetic nerve activity during intense lower body negative pressure to presyncope in humans , 2009, The Journal of physiology.

[17]  I. Roddie,et al.  Circulation to Skin and Adipose Tissue , 2011 .

[18]  Greg Atkinson,et al.  Contribution of arterial Windkessel in low-frequency cerebral hemodynamics during transient changes in blood pressure. , 2011, Journal of applied physiology.

[19]  A. Malliani,et al.  Cardiovascular Neural Regulation Explored in the Frequency Domain , 1991, Circulation.

[20]  Collin H. H. Tang,et al.  Augmented photoplethysmographic low frequency waves at the onset of endotoxic shock in rabbits , 2010, Physiological measurement.

[21]  P. Chowienczyk,et al.  Noninvasive Assessment of the Digital Volume Pulse: Comparison With the Peripheral Pressure Pulse , 2000, Hypertension.

[22]  J. Taylor,et al.  Automated quantification of sympathetic beat-by-beat activity, independent of signal quality. , 2001, Journal of applied physiology.

[23]  A. Awad,et al.  Different Responses of Ear and Finger Pulse Oximeter Wave Form to Cold Pressor Test , 2001, Anesthesia and analgesia.

[24]  K. Shelley Photoplethysmography: Beyond the Calculation of Arterial Oxygen Saturation and Heart Rate , 2007, Anesthesia and analgesia.

[25]  P. Larsen,et al.  Spectral analysis of AC and DC components of the pulse photoplethysmograph at rest and during induction of anaesthesia , 1997, International journal of clinical monitoring and computing.

[26]  G. Drummond,et al.  Low-frequency changes in finger volume in patients after surgery, related to respiration and venous pressure , 2009, European journal of anaesthesiology.

[27]  Nigel H. Lovell,et al.  Fingertip photoplethysmographic waveform variability and systemic vascular resistance in intensive care unit patients , 2011, Medical & Biological Engineering & Computing.

[28]  Nigel H. Lovell,et al.  Peripheral photoplethysmography variability analysis of sepsis patients , 2011, Medical & Biological Engineering & Computing.

[29]  K Dave,et al.  A CRITICAL APPRAISAL , 2002 .

[30]  Rong Zhang,et al.  Dynamic autoregulation of cutaneous circulation: differential control in glabrous versus nonglabrous skin. , 2005, American journal of physiology. Heart and circulatory physiology.

[31]  J. Hales,et al.  Evidence for skin microvascular compartmentalization by laser-Doppler and photoplethysmographic techniques. , 1993, International journal of microcirculation, clinical and experimental.

[32]  M. Cannesson,et al.  Influence of the site of measurement on the ability of plethysmographic variability index to predict fluid responsiveness. , 2011, British journal of anaesthesia.

[33]  L. Graham,et al.  Sympathetic neural hyperactivity and its normalization following unstable angina and acute myocardial infarction. , 2004, Clinical science.

[34]  B. Wallin,et al.  Relationship between spontaneous variations of muscle sympathetic activity and succeeding changes of blood pressure in man. , 1982, Journal of the autonomic nervous system.

[35]  A. Stefanovska,et al.  Wavelet analysis of oscillations in the peripheral blood circulation measured by laser Doppler technique , 1999, IEEE Transactions on Biomedical Engineering.

[36]  Märtha Sund-Levander,et al.  Normal oral, rectal, tympanic and axillary body temperature in adult men and women: a systematic literature review. , 2002, Scandinavian journal of caring sciences.

[37]  A Calciati,et al.  Autonomic control of skin microvessels: assessment by power spectrum of photoplethysmographic waves. , 1996, Clinical science.

[38]  G. Parati,et al.  Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation. A critical appraisal. , 1995, Hypertension.

[39]  P A Oberg,et al.  Photoplethysmography. Part 2. Influence of light source wavelength. , 1991, Medical & biological engineering & computing.

[40]  T. Seppänen,et al.  α‐Adrenergic effects on low‐frequency oscillations in blood pressure and R–R intervals during sympathetic activation , 2011, Experimental physiology.

[41]  M. Eriksen,et al.  Spontaneous flow waves detected by laser Doppler in human skin. , 1995, Microvascular research.

[42]  R. Cohen,et al.  An Efficient Algorithm for Spectral Analysis of Heart Rate Variability , 1986, IEEE Transactions on Biomedical Engineering.

[43]  J. T. Shepherd,et al.  Peripheral circulation and organ blood flow , 1983 .

[44]  N. Simionescu,et al.  The Cardiovascular System , 1983 .

[45]  P. Middleton,et al.  Noninvasive hemodynamic monitoring in the emergency department , 2011, Current opinion in critical care.

[46]  Douglas R Seals,et al.  Low-frequency arterial pressure fluctuations do not reflect sympathetic outflow: gender and age differences. , 1998, American journal of physiology. Heart and circulatory physiology.

[47]  H. Svensson,et al.  Involvement of sympathetic nerve activity in skin blood flow oscillations in humans. , 2003, American journal of physiology. Heart and circulatory physiology.

[48]  A. Porta,et al.  Relationship between spectral components of cardiovascular variabilities and direct measures of muscle sympathetic nerve activity in humans. , 1997, Circulation.

[49]  Raffaello Furlan,et al.  Analysis of sympathetic neural discharge in rats and humans , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[50]  R. Burr,et al.  Interpretation of normalized spectral heart rate variability indices in sleep research: a critical review. , 2007, Sleep.