An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise

<p dir="ltr">The heart sound signals captured via a digital stethoscope are often distorted by environmental and physiological noise, altering their salient and critical properties. The problem is exacerbated in crowded low-resource hospital settings with high noise levels which degr...

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Bibliographic Details
Main Author: Shams Nafisa Ali (17949191) (author)
Other Authors: Samiul Based Shuvo (17949194) (author), Muhammad Ishtiaque Sayeed Al-Manzo (17949197) (author), Anwarul Hasan (1332066) (author), Taufiq Hasan (17949200) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Noise reduction
Heart
Phonocardiography
Noise measurement
Hospitals
Lungs
Electrocardiography
Deep learning
Cardiovascular diseases
Cardiac disease
Heart sound
real time denoising
denoising autoencoder
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