Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach

Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach

Simple sensor-based procedures, including auscultation and electrocardiography (ECG), can facilitate early diagnosis of valvular diseases, resulting in timely treatment. This study assessed the impact of combining these sensor-based procedures with machine learning on diagnosing valvular abnormaliti...

Full description

Bibliographic Details
Main Authors: Takeru Shiraga, Hisaki Makimoto, Benita Kohlmann, Christofori-Eleni Magnisali, Yoshie Imai, Yusuke Itani, Asuka Makimoto, Fabian Schölzel, Alexandru Bejinariu, Malte Kelm, Obaida Rana
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
auscultation
electrocardiography
valvular disease
heart failure
multimodal artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/23/24/9834

Internet

https://www.mdpi.com/1424-8220/23/24/9834

Similar Items