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

Congenital heart disease (CHD) is a heart disorder associated with the devastating indications that result in increased mortality, increased morbidity, increased healthcare expenditure, and decreased quality of life. Ventricular Septal Defects (VSDs) and Arterial Septal Defects (ASDs) are the most c...

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Principais autores:	Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, Tallha Akram, Muhammad Altaf
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2020-07-01
סדרה:	Sensors
נושאים:	phonocardiogram machine learning empirical mode decomposition feature extraction mel-frequency cepstral coefficients support vector machines
גישה מקוונת:	https://www.mdpi.com/1424-8220/20/13/3790
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