{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T21:10:50Z","timestamp":1761340250503,"version":"build-2065373602"},"reference-count":57,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"US Department of Health and Human Services","award":["90ARHF0006"],"award-info":[{"award-number":["90ARHF0006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Manual wheelchair users (MWUs) are prone to a sedentary life that can negatively affect their physical and cardiovascular health, making regular assessment important to identify appropriate interventions and lifestyle modifications. One mean of assessing MWUs\u2019 physical health is the 6 min push test (6MPT), where the user propels themselves as far as they can in six minutes. However, reliance on observer input introduces subjectivity, while limited quantitative data inhibit comprehensive assessment. Incorporating sensors into the 6MPT can address these limitations. Here, ten MWUs performed the 6MPT with additional sensors: two inertial measurement units (IMUs)\u2014one on the wheelchair and one on the wrist together with a heart rate wristwatch. The conventional measurements of distance and laps were recorded by the observer, and the IMU data were used to calculate laps, distance, speed, and cadence. The results demonstrated that the IMU can provide the metrics of the traditional 6MPT with strong significant correlations between calculated laps and observer lap counts (r = 0.947, p &lt; 0.001) and distances (r = 0.970, p &lt; 0.001). Moreover, heart rate during the final minute was significantly correlated with calculated distance (r = 0.762, p = 0.017). Enhanced 6MPT assessment can provide objective, quantitative, and comprehensive data for clinicians to effectively inform interventions in rehabilitation.<\/jats:p>","DOI":"10.3390\/s24134172","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T04:19:26Z","timestamp":1719461966000},"page":"4172","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Inertial Measurement Unit and Heart Rate Monitoring to Assess Cardiovascular Fitness of Manual Wheelchair Users during the Six-Minute Push Test"],"prefix":"10.3390","volume":"24","author":[{"given":"Grace","family":"Fasipe","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6448-9958","authenticated-orcid":false,"given":"Maja","family":"Gor\u0161i\u010d","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA"},{"name":"Department of Biomedical Engineering, Marquette University, Milwaukee, WI 53233, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erika V.","family":"Zabre","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob R.","family":"Rammer","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Li, Y., Li, F.M., and Carrington, P. 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