{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:10:13Z","timestamp":1774379413832,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T00:00:00Z","timestamp":1609200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CBET-1067740"],"award-info":[{"award-number":["CBET-1067740"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["UNS-1512564"],"award-info":[{"award-number":["UNS-1512564"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["UNS-1512564"],"award-info":[{"award-number":["UNS-1512564"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +\/\u2212 0.15), dP\/dtmax (Pearson correlation coefficient of 0.51 +\/\u2212 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +\/\u2212 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors\u2019 knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.<\/jats:p>","DOI":"10.3390\/s21010156","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T19:55:25Z","timestamp":1609271725000},"page":"156","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4293-3090","authenticated-orcid":false,"given":"Charles","family":"Carlson","sequence":"first","affiliation":[{"name":"Mike Wiegers Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA"}]},{"given":"Vanessa-Rose","family":"Turpin","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Kansas State University, Manhattan, KS 66506, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4688-7976","authenticated-orcid":false,"given":"Ahmad","family":"Suliman","sequence":"additional","affiliation":[{"name":"Mike Wiegers Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA"}]},{"given":"Carl","family":"Ade","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Kansas State University, Manhattan, KS 66506, USA"}]},{"given":"Steve","family":"Warren","sequence":"additional","affiliation":[{"name":"Mike Wiegers Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA"}]},{"given":"David E.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Mike Wiegers Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"53945","DOI":"10.1109\/ACCESS.2019.2912650","article-title":"Performance Comparison for Ballistocardiogram Peak Detection Methods","volume":"7","author":"Suliman","year":"2019","journal-title":"IEEE Access"},{"key":"ref_2","unstructured":"Shin, J.H., and Park, K.S. 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