{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:16:39Z","timestamp":1771002999915,"version":"3.50.1"},"reference-count":20,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001409","name":"Department of Science and Technology, Government of India","doi-asserted-by":"crossref","award":["DST\/TDT\/TDP-10\/2022"],"award-info":[{"award-number":["DST\/TDT\/TDP-10\/2022"]}],"id":[{"id":"10.13039\/501100001409","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational Methods in Sciences and Engineering"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>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\u2019s a pressing demand for systems that support long-term and remote monitoring. In response, this study explored Ballistocardiography (BCG)\u2014a 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\u2019s 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.<\/jats:p>","DOI":"10.1177\/14727978251337915","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T16:49:32Z","timestamp":1745599772000},"page":"4155-4163","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimal Ballistocardiography sensor placements for vascular health monitoring"],"prefix":"10.1177","volume":"25","author":[{"given":"Vaishnavi","family":"Rangaraj","sequence":"first","affiliation":[{"name":"B. M. S. College of Engineering"}]},{"given":"Ume Hani","family":"Jawad","sequence":"additional","affiliation":[{"name":"B. M. S. 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