Optimal Ballistocardiography sensor placements for vascular health monitoring
Year: 2025
Type: article
Abstract: The vital assessment of cardiovascular health metrics, notably heart and respiratory rates, is paramount for early detection and timely intervention of vascular anomalies. With the rise in global prevalence of cardiovascular diseases, there’s a pressing demand for systems that support long-term and remote monitoring. In response, this study explored Ballistocardiography (BCG)—a technique capturing the minute vibrations caused by cardiac contractions and bodily movements, offering non-invasive, continuous monitoring. Utilizing Dozee, a cutting-edge contactless monitoring system, we sought to identify optimal sensor placements. Data was collated from 18 healthy participants and 7 with vascular conditions, with sensors arrayed across the upper and lower body. Post rigorous signal filtering and statistical analyses, the thorax and lumbar spine sensors emerged as the most accurate for the upper and lower body, respectively. However, regions like the cerebral and legs faced compromised signals due to external interferences such as body movements. The study underscores BCG’s potential as a promising, non-invasive, and cost-effective alternative to traditional diagnostics. For a broader clinical application and validation, further research, especially high-powered controlled studies are required.
Authors: Vaishnavi Rangaraj, Ume Hani Jawad, Swarna Kedia, Madhusmita Rawooth, Umesh Mohan, Pooja Kadambi, Abhishek Appaji
Institutions: B.M.S. College of Engineering, Maastricht University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,150
Award: G8082754747
OpenAlex ID: W4409785948
