Literature DB >> 23014860

Determination of heart rate variability with an electronic stethoscope.

Haroon Kamran1, Isaac Naggar, Francisca Oniyuke, Mercy Palomeque, Priya Chokshi, Louis Salciccioli, Mark Stewart, Jason M Lazar.   

Abstract

INTRODUCTION: Heart 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.
METHODS: Accordingly, 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.
RESULTS: Time and frequency measures of HRV were calculated from R-R and S1-S1 intervals and were compared using intra-class correlation coefficients (ICC).
CONCLUSION: The 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.

Entities:  

Mesh:

Year:  2012        PMID: 23014860     DOI: 10.1007/s10286-012-0177-3

Source DB:  PubMed          Journal:  Clin Auton Res        ISSN: 0959-9851            Impact factor:   4.435


  24 in total

1.  Prognostic significance of early short-term measurements of heart rate variability following acute myocardial infarction.

Authors:  Richard Steeds; Janine Fletcher; Michael Smith; John West; Kevin Channer; John Townend
Journal:  Am J Cardiol       Date:  2004-11-15       Impact factor: 2.778

2.  Acoustic cardiographic parameters and their relationship to invasive hemodynamic measurements in patients with left ventricular systolic dysfunction.

Authors:  Markus Roos; Stefan Toggweiler; Michel Zuber; Peiman Jamshidi; Paul Erne
Journal:  Congest Heart Fail       Date:  2006 Jul-Aug

3.  Cardiac auscultation: a glorious past--and it does have a future!

Authors:  Morton E Tavel
Journal:  Circulation       Date:  2006-03-07       Impact factor: 29.690

4.  Changes in short-term measures of heart rate variability after eight weeks of cardiac rehabilitation.

Authors:  Gavin R H Sandercock; Richard Grocott-Mason; David A Brodie
Journal:  Clin Auton Res       Date:  2007-02-06       Impact factor: 4.435

5.  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.

Authors: 
Journal:  Eur Heart J       Date:  1996-03       Impact factor: 29.983

6.  Interpreting systolic time intervals in man.

Authors:  A M Weissler
Journal:  J Am Coll Cardiol       Date:  1983-11       Impact factor: 24.094

7.  Systolic time intervals in adolescents. Normal standards for clinical use and comparison with children and adults.

Authors:  K L Wanderman; Z Hayek; I Ovsyshcher; G Loutaty; A Cantor; Y Gussarsky; M Gueron
Journal:  Circulation       Date:  1981-01       Impact factor: 29.690

Review 8.  A quantitative systematic review of normal values for short-term heart rate variability in healthy adults.

Authors:  David Nunan; Gavin R H Sandercock; David A Brodie
Journal:  Pacing Clin Electrophysiol       Date:  2010-11       Impact factor: 1.976

9.  Short-term heart rate variability in healthy young adults: the Cardiovascular Risk in Young Finns Study.

Authors:  Tuomas Koskinen; Mika Kähönen; Antti Jula; Tomi Laitinen; Liisa Keltikangas-Järvinen; Jorma Viikari; Ilkka Välimäki; Olli T Raitakari
Journal:  Auton Neurosci       Date:  2008-11-18       Impact factor: 3.145

10.  A new, simple, and accurate method for non-invasive estimation of pulmonary arterial pressure.

Authors:  J Xu; L-G Durand; P Pibarot
Journal:  Heart       Date:  2002-07       Impact factor: 5.994

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.