Literature DB >> 19136603

Respiratory modulation of heart sound morphology.

Guy Amit1, Khuloud Shukha, Noam Gavriely, Nathan Intrator.   

Abstract

Heart sounds, the acoustic vibrations produced by the mechanical processes of the cardiac cycle, are modulated by respiratory activity. We have used computational techniques of cluster analysis and classification to study the effects of the respiratory phase and the respiratory resistive load on the temporal and morphological properties of the first (S1) and second heart sounds (S2), acquired from 12 healthy volunteers. Heart sounds exhibited strong morphological variability during normal respiration and nearly no variability during apnea. The variability was shown to be periodic, with its estimated period in good agreement with the measured duration of the respiratory cycle. Significant differences were observed between properties of S1 and S2 occurring during inspiration and expiration. S1 was commonly attenuated and slightly delayed during inspiration, whereas S2 was accentuated and its aortic component occurred earlier at late inspiration and early expiration. Typical split morphology was observed for S1 and S2 during inspiration. At high-breathing load, these changes became more prominent and occurred earlier in the respiratory cycle. Unsupervised cluster analysis was able to automatically identify the distinct morphologies associated with different respiratory phases and load. Classification of the respiration phase (inspiration or expiration) from the morphology of S1 achieved an average accuracy of 87 +/- 7%, and classification of the breathing load was accurate in 82 +/- 7%. These results suggest that quantitative heart sound analysis can shed light on the relation between respiration and cardiovascular mechanics and may be applied to continuous cardiopulmonary monitoring.

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Year:  2009        PMID: 19136603     DOI: 10.1152/ajpheart.00806.2008

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  7 in total

1.  Heart sounds analysis via esophageal stethoscope system in beagles.

Authors:  Sang Hi Park; Young Duck Shin; Jin Ho Bae; Eun Jung Kwon; Tae-Soo Lee; Ji-Yun Shin; Yeong-Cheol Kim; Gyeong-Deuk Min; Myoung hwan Kim
Journal:  J Clin Monit Comput       Date:  2013-03-26       Impact factor: 2.502

2.  Wearable Sensing of Cardiac Timing Intervals from Cardiogenic Limb Vibration Signals.

Authors:  Andrew D Wiens; Ann Johnson; Omer T Inan
Journal:  IEEE Sens J       Date:  2016-12-22       Impact factor: 3.301

3.  Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos.

Authors:  Petra Kraus; Xing Xing; Siew Lan Lim; Max E Fun; V Sivakamasundari; Sook Peng Yap; Haixia Lee; R Krishna Murthy Karuturi; Thomas Lufkin
Journal:  BMC Res Notes       Date:  2012-05-14

4.  A deep neural network using audio files for detection of aortic stenosis.

Authors:  Ingo Voigt; Marc Boeckmann; Oliver Bruder; Alexander Wolf; Thomas Schmitz; Heinrich Wieneke
Journal:  Clin Cardiol       Date:  2022-04-19       Impact factor: 3.287

5.  Respiratory-Induced Amplitude Modulation of Forcecardiography Signals.

Authors:  Jessica Centracchio; Emilio Andreozzi; Daniele Esposito; Gaetano D Gargiulo
Journal:  Bioengineering (Basel)       Date:  2022-09-07

6.  Nonlinear Time Domain Relation between Respiratory Phase and Timing of the First Heart Sound.

Authors:  Hong Tang; Yongwan Park; Chengjie Ruan
Journal:  Comput Math Methods Med       Date:  2015-10-01       Impact factor: 2.238

7.  The correlation between the first heart sound and cardiac output as measured by using digital esophageal stethoscope under anaesthesia.

Authors:  Young Duck Shin; Kyoung Hoon Yim; Sang Hi Park; Yong Wook Jeon; Jin Ho Bae; Tae Soo Lee; Myoung Hwan Kim; Young Jin Choi
Journal:  Pak J Med Sci       Date:  2014-03       Impact factor: 1.088

  7 in total

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