Determination of heart rate variability with an electronic stethoscope

IntroductionHeart rate variability (HRV) is widely used to characterize cardiac autonomic function by measuring beat-to-beat alterations in heart rate. Decreased HRV has been found predictive of worse cardiovascular (CV) outcomes. HRV is determined from time intervals between QRS complexes recorded by electrocardiography (ECG) for several minutes to 24 h. Although cardiac auscultation with a stethoscope is performed routinely on patients, the human ear cannot detect heart sound time intervals. The electronic stethoscope digitally processes heart sounds, from which cardiac time intervals can be obtained.MethodsAccordingly, the objective of this study was to determine the feasibility of obtaining HRV from electronically recorded heart sounds. We prospectively studied 50 subjects with and without CV risk factors/disease and simultaneously recorded single lead ECG and heart sounds for 2 min.ResultsTime and frequency measures of HRV were calculated from R–R and S1–S1 intervals and were compared using intra-class correlation coefficients (ICC).ConclusionThe majority of the indices were strongly correlated (ICC 0.73–1.0), while the remaining indices were moderately correlated (ICC 0.56–0.63). In conclusion, we found HRV measures determined from S1–S1 are in agreement with those determined by single lead ECG, and we demonstrate and discuss differences in the measures in detail. In addition to characterizing cardiac murmurs and time intervals, the electronic stethoscope holds promise as a convenient low-cost tool to determine HRV in the hospital and outpatient settings as a practical extension of the physical examination.

[1]  Bedside measurement of systolic and diastolic time intervals using the stethometer. , 1977, Cardiovascular research.

[2]  J Abrams Current concepts of the genesis of heart sounds. I. First and second sounds. , 1978, JAMA.

[3]  J Abrams Current concepts of the genesis of heart sounds. II. Third and fourth sounds. , 1978, JAMA.

[4]  I. Ovsyshcher,et al.  Systolic Time Intervals in Adolescents: Normal Standards for Clinical Use and Comparison with Children and Adults , 1981, Circulation.

[5]  A. Weissler,et al.  Interpreting systolic time intervals in man. , 1983, Journal of the American College of Cardiology.

[6]  M. Tavel,et al.  Enhanced auscultation with a new graphic display system. , 1994, Archives of internal medicine.

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

[8]  Patrick Gaydecki,et al.  The use of the Hilbert transform in ECG signal analysis , 2001, Comput. Biol. Medicine.

[9]  L. Durand,et al.  A new, simple, and accurate method for non-invasive estimation of pulmonary arterial pressure , 2002, Heart.

[10]  J. Townend,et al.  Prognostic significance of early short-term measurements of heart rate variability following acute myocardial infarction. , 2004, The American journal of cardiology.

[11]  Marc L De Buyzere,et al.  Time intervals and global cardiac function. Use and limitations. , 2004, European heart journal.

[12]  P. Stein,et al.  Heart Rate Variability: Measurement and Clinical Utility , 2005, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.

[13]  Paul D. Bromley,et al.  The reliability of short-term measurements of heart rate variability. , 2005, International journal of cardiology.

[14]  M. Tavel,et al.  Cardiac Auscultation: A Glorious Past—And It Does Have a Future! , 2006, Circulation.

[15]  Acoustic cardiographic parameters and their relationship to invasive hemodynamic measurements in patients with left ventricular systolic dysfunction. , 2006, Congestive heart failure.

[16]  Nestor Rodrigues de Oliveira Neto,et al.  Abnormalities of the Systolic Time Intervals Obtained by Electronic Stethoscope in Heart Failure , 2007 .

[17]  David A. Brodie,et al.  Changes in short-term measures of heart rate variability after eight weeks of cardiac rehabilitation , 2007, Clinical Autonomic Research.

[18]  P. Erne,et al.  Beyond auscultation--acoustic cardiography in the diagnosis and assessment of cardiac disease. , 2008, Swiss medical weekly.

[19]  J. Goldberger,et al.  Assessment of autonomic function in cardiovascular disease: physiological basis and prognostic implications. , 2008, Journal of the American College of Cardiology.

[20]  Pere Caminal,et al.  Methods derived from nonlinear dynamics for analysing heart rate variability , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[21]  B. Penninx,et al.  Association between Anxiety Disorders and Heart Rate Variability in The Netherlands Study of Depression and Anxiety (NESDA) , 2009, Psychosomatic medicine.

[22]  C. Lindsell,et al.  Bedside prediction of increased filling pressure using acoustic electrocardiography. , 2009, The American journal of emergency medicine.

[23]  G. Lu,et al.  A comparison of photoplethysmography and ECG recording to analyse heart rate variability in healthy subjects , 2009, Journal of medical engineering & technology.

[24]  Liisa Keltikangas-Järvinen,et al.  Short-term heart rate variability in healthy young adults The Cardiovascular Risk in Young Finns Study , 2009, Autonomic Neuroscience.

[25]  K. Larkin,et al.  Biofeedback of Heart Rate Variability and Related Physiology: A Critical Review , 2010, Applied psychophysiology and biofeedback.

[26]  D. Nunan,et al.  A Quantitative Systematic Review of Normal Values for Short‐Term Heart Rate Variability in Healthy Adults , 2010, Pacing and clinical electrophysiology : PACE.