Deep autoencoder neural networks for heart sound classification

A novel feature-level fusion scheme with multimodal attention CNN for heart sound classification

K Ranipa, WP Zhu, MNS Swamy - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective Most of the existing machine learning-based heart sound
classification methods achieve limited accuracy. Since they primarily depend on single …
保存 引用 被引用数: 4 関連記事 全 3 バージョン

Enhancing Voice Disorder Detection Using Deep Transfer Learning Feature Fusion

R Jegan, R Jayagowri - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
This paper introduces a computerized non-invasive voice pathology detection system using
deep transfer learning network (DTLN) feature fusion. The system takes both healthy and …
保存 引用 被引用数: 2 関連記事

Towards Smartphone-Based Heart Sound Classification

P Priyadarshinee, BT Balamurali… - 2024 International …, 2024 - ieeexplore.ieee.org
Globally prevalent, cardiovascular diseases (CVD) result in high annual mortality rates.
Heart auscultation, though accessible and non-invasive, is a difficult skill to acquire for …
保存 引用 関連記事

Cardiovascular Disease Detection Using Deep Learning and Nature-Inspired Optimization Algorithm

B Kaushal, R Jegan, S Raveendran… - AI and IoT …, 2024 - taylorfrancis.com
Heart-related diseases that result in heart attacks and cardiac arrhythmias if not detected at
an early stage are an increasing concern in the world. Consequently, heart disease …
保存 引用 関連記事 全 2 バージョン HTMLバージョン