TY - JOUR
T1 - Dynamics of diastolic sounds caused by partially occluded coronary arteries
AU - Akay, Metin
AU - Akay, Yasemin M.
AU - Gauthier, Dominique
AU - Paden, Robert G.
AU - Pavlicek, William
AU - Fortuin, F. David
AU - Sweeney, John P.
AU - Lee, Richard W.
N1 - Funding Information:
Manuscript received October 26, 2007; revised June 20, 2008. First published August 12, 2008; current version published March 25, 2009. This work was supported by the National Science Foundation (NSF) under Grant CBET-0828912. Asterisk indicates corresponding author. *M. Akay, Y. M. Akay, and D. Gauthier are with the Harrington Department of Bioengineering, Ira Fulton School of Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: [email protected]). R. G. Paden and W. Pavlicek are with the Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ 85054 USA. F. D. Fortuin, J. P. Sweeney, and R. W. Lee are with the Department of Cardiology, Mayo Clinic Arizona, Phoenix, AZ 85054 USA. Digital Object Identifier 10.1109/TBME.2008.2003098
PY - 2009/2
Y1 - 2009/2
N2 - The aim of this project is to improve the detection of coronary occlusions using an approach based on the recording and analysis of isolated diastolic heart sounds associated with turbulent blood flow in occluded coronary arteries. The nonlinear dynamic analysis method based on approximate entropy has been proposed for the analysis of diastolic heart sounds. A commercially available electronic stethoscope was used to record the diastolic heart sounds from patients diagnosed with or without coronary artery disease (CAD) based on their coronary angiography examination. The nonlinear dynamical analysis (approximate entropy) measures of the diastolic heart sounds recorded from 30 patients with coronary occlusions and ten normal subjects were estimated. Results suggest the presence of the high nonlinear (approximate entropy) values of diastolic heart sounds associated with CAD ( p \hbox{0.05}). This approach led to a sensitivity of 77%, a specificity of 80%, and an overall accuracy of 78%. As a summary, 23 out of 30 abnormal patients and eight out of ten normal patients were correctly detected.
AB - The aim of this project is to improve the detection of coronary occlusions using an approach based on the recording and analysis of isolated diastolic heart sounds associated with turbulent blood flow in occluded coronary arteries. The nonlinear dynamic analysis method based on approximate entropy has been proposed for the analysis of diastolic heart sounds. A commercially available electronic stethoscope was used to record the diastolic heart sounds from patients diagnosed with or without coronary artery disease (CAD) based on their coronary angiography examination. The nonlinear dynamical analysis (approximate entropy) measures of the diastolic heart sounds recorded from 30 patients with coronary occlusions and ten normal subjects were estimated. Results suggest the presence of the high nonlinear (approximate entropy) values of diastolic heart sounds associated with CAD ( p \hbox{0.05}). This approach led to a sensitivity of 77%, a specificity of 80%, and an overall accuracy of 78%. As a summary, 23 out of 30 abnormal patients and eight out of ten normal patients were correctly detected.
KW - Approximate entropy
KW - Coronary artery disease (CAD)
KW - Nonlinear dynamics analysis
UR - https://www.scopus.com/pages/publications/63849320761
UR - https://www.scopus.com/pages/publications/63849320761#tab=citedBy
U2 - 10.1109/TBME.2008.2003098
DO - 10.1109/TBME.2008.2003098
M3 - Article
C2 - 19272945
AN - SCOPUS:63849320761
SN - 0018-9294
VL - 56
SP - 513
EP - 517
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 2
M1 - 4595685
ER -