Literature DB >> 25974927

Acoustic Features for the Identification of Coronary Artery Disease.

Samuel E Schmidt, Claus Holst-Hansen, John Hansen, Egon Toft, Johannes J Struijk.   

Abstract

GOAL: Earlier studies have documented that coronary artery disease (CAD) produces weak murmurs, which might be detected through analysis of heart sounds. An electronic stethoscope with a digital signal processing unit could be a low cost and easily applied method for diagnosis of CAD. The current study is a search for heart sound features which might identify CAD.
METHODS: Nine different types of features from five overlapping frequency bands were obtained and analyzed using 435 recordings from 133 subjects.
RESULTS: New features describing an increase in low-frequency power in CAD patients were identified. The features of the different types were relatively strongly correlated. Using a quadratic discriminant function, multiple features were combined into a CAD-score. The area under the receiving operating characteristic for the CAD score was 0.73 (95% CI: 0.69-0.78).
CONCLUSION: The result confirms that there is a potential in heart sounds for the diagnosis of CAD, but that further improvements are necessary to gain clinical relevance.

Entities:  

Mesh:

Year:  2015        PMID: 25974927     DOI: 10.1109/TBME.2015.2432129

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


  13 in total

Review 1.  A novel approach to diagnosing coronary artery disease: acoustic detection of coronary turbulence.

Authors:  Joseph L Thomas; Simon Winther; Robert F Wilson; Morten Bøttcher
Journal:  Int J Cardiovasc Imaging       Date:  2016-08-31       Impact factor: 2.357

2.  An open access database for the evaluation of heart sound algorithms.

Authors:  Chengyu Liu; David Springer; Qiao Li; Benjamin Moody; Ricardo Abad Juan; Francisco J Chorro; Francisco Castells; José Millet Roig; Ikaro Silva; Alistair E W Johnson; Zeeshan Syed; Samuel E Schmidt; Chrysa D Papadaniil; Leontios Hadjileontiadis; Hosein Naseri; Ali Moukadem; Alain Dieterlen; Christian Brandt; Hong Tang; Maryam Samieinasab; Mohammad Reza Samieinasab; Reza Sameni; Roger G Mark; Gari D Clifford
Journal:  Physiol Meas       Date:  2016-11-21       Impact factor: 2.688

3.  Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification.

Authors:  Simon Winther; Louise Nissen; Samuel Emil Schmidt; Jelmer Sybren Westra; Laust Dupont Rasmussen; Lars Lyhne Knudsen; Lene Helleskov Madsen; Jane Kirk Johansen; Bjarke Skogstad Larsen; Johannes Jan Struijk; Lars Frost; Niels Ramsing Holm; Evald Høj Christiansen; Hans Erik Botker; Morten Bøttcher
Journal:  Heart       Date:  2017-11-09       Impact factor: 5.994

4.  Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features.

Authors:  Sumair Aziz; Muhammad Umar Khan; Majed Alhaisoni; Tallha Akram; Muhammad Altaf
Journal:  Sensors (Basel)       Date:  2020-07-06       Impact factor: 3.576

Review 5.  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

6.  Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography.

Authors:  Parastoo Dehkordi; Erwin P Bauer; Kouhyar Tavakolian; Vahid Zakeri; Andrew P Blaber; Farzad Khosrow-Khavar
Journal:  Front Physiol       Date:  2019-09-24       Impact factor: 4.566

7.  Coronary artery disease risk reclassification by a new acoustic-based score.

Authors:  S E Schmidt; S Winther; B S Larsen; M H Groenhoej; L Nissen; J Westra; L Frost; N R Holm; H Mickley; F H Steffensen; J Lambrechtsen; M S Nørskov; J J Struijk; A C P Diederichsen; M Boettcher
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-04       Impact factor: 2.357

8.  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

9.  Danish study of Non-Invasive testing in Coronary Artery Disease (Dan-NICAD): study protocol for a randomised controlled trial.

Authors:  Louise Nissen; Simon Winther; Christin Isaksen; June Anita Ejlersen; Lau Brix; Grazina Urbonaviciene; Lars Frost; Lene Helleskov Madsen; Lars Lyhne Knudsen; Samuel Emil Schmidt; Niels Ramsing Holm; Michael Maeng; Mette Nyegaard; Hans Erik Bøtker; Morten Bøttcher
Journal:  Trials       Date:  2016-05-26       Impact factor: 2.279

10.  Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris.

Authors:  Simon Winther; Samuel Emil Schmidt; Niels Ramsing Holm; Egon Toft; Johannes Jan Struijk; Hans Erik Bøtker; Morten Bøttcher
Journal:  Int J Cardiovasc Imaging       Date:  2015-09-03       Impact factor: 2.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.