Literature DB >> 19963568

Automated heartsound analysis/computer-aided auscultation: a cardiologist's perspective and suggestions for future development.

C Mahnke1.   

Abstract

Heart disease is a major cause of worldwide morbidity and mortality. Properly performed, the cardiac auscultatory examination (listening to the heart with a stethoscope) is an inexpensive, widely available tool in the detection and management of heart disease. Unfortunately, accurate interpretation of heartsounds by primary care providers is fraught with error, leading to missed diagnosis of disease and/or excessive costs associated with evaluation of normal variants. Therefore, automated heartsound analysis, also known as computer aided auscultation (CAA), has the potential to become a cost-effective screening and diagnostic tool in the primary care setting. A cardiologist's suggestions for CAA system design and algorithmic development are provided.

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Year:  2009        PMID: 19963568     DOI: 10.1109/IEMBS.2009.5332551

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

Review 1.  The electronic stethoscope.

Authors:  Shuang Leng; Ru San Tan; Kevin Tshun Chuan Chai; Chao Wang; Dhanjoo Ghista; Liang Zhong
Journal:  Biomed Eng Online       Date:  2015-07-10       Impact factor: 2.819

Review 2.  Use of health information technology to reduce diagnostic errors.

Authors:  Robert El-Kareh; Omar Hasan; Gordon D Schiff
Journal:  BMJ Qual Saf       Date:  2013-07-13       Impact factor: 7.035

Review 3.  The promise of computer-assisted auscultation in screening for structural heart disease and clinical teaching.

Authors:  L Zühlke; L Myer; B M Mayosi
Journal:  Cardiovasc J Afr       Date:  2012-02-23       Impact factor: 1.167

Review 4.  A Review of Computer-Aided Heart Sound Detection Techniques.

Authors:  Suyi Li; Feng Li; Shijie Tang; Wenji Xiong
Journal:  Biomed Res Int       Date:  2020-01-10       Impact factor: 3.411

5.  Detection of Coronary Artery Disease Using Multi-Domain Feature Fusion of Multi-Channel Heart Sound Signals.

Authors:  Tongtong Liu; Peng Li; Yuanyuan Liu; Huan Zhang; Yuanyang Li; Yu Jiao; Changchun Liu; Chandan Karmakar; Xiaohong Liang; Mengli Ren; Xinpei Wang
Journal:  Entropy (Basel)       Date:  2021-05-21       Impact factor: 2.524

6.  Efficiency, sensitivity and specificity of automated auscultation diagnosis device for detection and discrimination of cardiac murmurs in children.

Authors:  Armen Kocharian; Amir-Ahmad Sepehri; Azin Janani; Elaheh Malakan-Rad
Journal:  Iran J Pediatr       Date:  2013-08       Impact factor: 0.364

7.  Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods.

Authors:  Manuel A Soto-Murillo; Jorge I Galván-Tejada; Carlos E Galván-Tejada; Jose M Celaya-Padilla; Huizilopoztli Luna-García; Rafael Magallanes-Quintanar; Tania A Gutiérrez-García; Hamurabi Gamboa-Rosales
Journal:  Healthcare (Basel)       Date:  2021-03-12
  7 in total

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