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...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autoři: Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, Tallha Akram, Muhammad Altaf
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-07-01
Edice:Sensors
Témata:
phonocardiogram
machine learning
empirical mode decomposition
feature extraction
mel-frequency cepstral coefficients
support vector machines
On-line přístup:https://www.mdpi.com/1424-8220/20/13/3790
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky