Literature DB >> 25494499

Monitoring cardiac stress using features extracted from S₁ heart sounds.

Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator.   

Abstract

It is known that acoustic heart sounds carry significant information about the mechanical activity of the heart. In this paper, we present a novel type of cardiac monitoring based on heart sound analysis. Specifically, we study two morphological features and their associations with physiological changes from the baseline state. The framework is demonstrated on recordings during laparoscopic surgeries of 15 patients. Insufflation, which is performed during laparoscopic surgery, provides a controlled, externally induced cardiac stress, enabling an analysis of each patient with respect to their own baseline. We demonstrate that the proposed features change during cardiac stress, and the change is more significant for patients with cardiac problems. Furthermore, we show that other well-known ECG morphology features are less sensitive in this specific cardiac stress experiment.

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Year:  2014        PMID: 25494499     DOI: 10.1109/TBME.2014.2377695

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  1 in total

1.  Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine.

Authors:  Amir Mohammad Amiri; Mohammadreza Abtahi; Nick Constant; Kunal Mankodiya
Journal:  Healthcare (Basel)       Date:  2017-03-18
  1 in total

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