Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals

• Published in: Computers in biology and medicine Vol. 118; p. 103632
• Main Authors: Ghosh, Samit Kumar, Ponnalagu, R.N., Tripathy, R.K., Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.03.2020; Elsevier Limited
• Subjects: Abnormalities; Aorta; Aortic stenosis; Automation; Blood coagulation; Chirplet transform; Classification; Classifiers; Congestive heart failure; Coronary artery disease; Entropy; Frequency analysis; Heart valve diseases (HVDs); Heart valves; Internal Medicine; Multiclass composite classifier; Other; PCG; Regurgitation; Signal classification; Stenosis; Time–frequency analysis; Chirplet transform; Heart valve diseases (HVDs); Time–frequency analysis; Multiclass composite classifier; PCG

Heart valve diseases (HVDs) are a group of cardiovascular abnormalities, and the causes of HVDs are blood clots, congestive heart failure, stroke, and sudden cardiac death, if not treated timely. Hence, the detection of HVDs at the initial stage is very important in cardiovascular engineering to red...