Methods for Improving Deep Learning-Based Cardiac Auscultation Accuracy: Data Augmentation and Data Generalization

Methods for Improving Deep Learning-Based Cardiac Auscultation Accuracy: Data Augmentation and Data Generalization

Cardiac auscultation is a cost-effective and noninvasive technique for cardiovascular disease detection. Recently, various studies have been underway for cardiac auscultation using deep learning, not doctors. When training a deep learning network, it is important to secure large amount of high-quali...

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Bibliographic Details
Main Authors: Yoojin Jeong, Juhee Kim, Daeyeol Kim, Jinsoo Kim, Kwangkee Lee
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
cardiovascular disease
heart sounds
heartbeat classification
signal preprocessing
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/2076-3417/11/10/4544

Internet

https://www.mdpi.com/2076-3417/11/10/4544

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