A Machine Learning Approach for Integrating Phonocardiogram and Electrocardiogram Data for Heart Sound Detection.
Year: 2024
Type: conference-paper
Abstract: Heart sound detection (HSD) is crucial for diagnosing cardiovascular diseases and monitoring cardiac health.While the traditional diagnostic methods often rely on either phonocardiogram (PCG) or electrocardiogram (ECG) data and often cause several performance degradations.In this work, we propose to combine the augmentation methodology with ECG and PCG fusion.Experiments are conducted with physioNet dataset used in CINC 2016 Challenges.Experimental results show the proposed method outperforming benchmark systems by providing complementary information, hence improving performance with modality fusion.
Source: Computing in cardiology
Authors: Thu P. Mains, Shruti Kshirsagar
Institution: Wichita State University
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4405434925