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...
Main Authors: | Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, Tallha Akram, Muhammad Altaf |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/13/3790 |
Similar Items
-
Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Omair Rashed Abdulwareth Almanifi, et al.
Published: (2022-12-01) -
A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients
by: Elmehdi Benmalek, et al.
Published: (2023-06-01) -
High Security and Capacity of Image Steganography for Hiding Human Speech Based on Spatial and Cepstral Domains
by: Yazen A. Khaleel
Published: (2020-06-01) -
Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models
by: Sheeraz Memon, et al.
Published: (2013-10-01) -
Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient
by: Karisma Trinanda Putra
Published: (2017-11-01)