A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment

作者：Jing Zhan, Zhengying Li, Xiaoyan Wu, Chao Zhang, Tao Zhao, Kewei Chen, Zhibing Lu · 发表于：Scientific Data · 年份：2025 · DOI：10.1038/s41597-025-05287-z · 被引用次数：5 · 研究领域：Non-Invasive Vital Sign Monitoring、Phonocardiography and Auscultation Techniques、ECG Monitoring and Analysis

Cardiac dysfunction plays a critical role in clinical diagnostics and treatment. Although traditional methods like echocardiography and blood biomarkers are effective, their limitations highlight the need for noninvasive and continuous monitoring solutions. Ballistocardiography (BCG), which captures subtle body vibrations generated by cardiac mechanical activity, has emerged as a promising tool for remote cardiovascular monitoring. This study presents a multi-pathology BCG dataset comprising recordings from healthy participants, patients with heart failure (HF), and those with arrhythmias such as atrial fibrillation (AF), premature ventricular contractions (PVCs), and premature atrial contractions (PACs). Synchronized electrocardiogram (ECG) and M-mode echocardiography recordings are also included, providing a comprehensive overview of cardiac function under diverse physiological and pathological conditions. The dataset aims to support the development of advanced algorithms and promote clinical validation of BCG as a tool for noninvasive cardiovascular monitoring.