{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T03:06:53Z","timestamp":1783480013516,"version":"3.55.0"},"reference-count":41,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009629","name":"Fondazione Cassa di Risparmio di Trento e Rovereto (Caritro)","doi-asserted-by":"publisher","award":["2020.0409"],"award-info":[{"award-number":["2020.0409"]}],"id":[{"id":"10.13039\/501100009629","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The 5-Sit-to-stand test (5STS) is widely used to estimate lower limb muscle power (MP). An Inertial Measurement Unit (IMU) could be used to obtain objective, accurate and automatic measures of lower limb MP. In 62 older adults (30 F, 66 \u00b1 6 years) we compared (paired t-test, Pearson\u2019s correlation coefficient, and Bland-Altman analysis) IMU-based estimates of total trial time (totT), mean concentric time (McT), velocity (McV), force (McF), and MP against laboratory equipment (Lab). While significantly different, Lab vs. IMU measures of totT (8.97 \u00b1 2.44 vs. 8.86 \u00b1 2.45 s, p = 0.003), McV (0.35 \u00b1 0.09 vs. 0.27 \u00b1 0.10 m\u2219s\u22121, p &lt; 0.001), McF (673.13 \u00b1 146.43 vs. 653.41 \u00b1 144.58 N, p &lt; 0.001) and MP (233.00 \u00b1 70.83 vs. 174.84 \u00b1 71.16 W, p &lt; 0.001) had a very large to extremely large correlation (r = 0.99, r = 0.93, and r = 0.97 r = 0.76 and r = 0.79, respectively, for totT, McT, McF, McV and MP). Bland\u2013Altman analysis showed a small, significant bias and good precision for all the variables, but McT. A sensor-based 5STS evaluation appears to be a promising objective and digitalized measure of MP. This approach could offer a practical alternative to the gold standard methods used to measure MP.<\/jats:p>","DOI":"10.3390\/s23104802","type":"journal-article","created":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T01:58:06Z","timestamp":1684288686000},"page":"4802","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Temporal, Kinematic and Kinetic Variables Derived from a Wearable 3D Inertial Sensor to Estimate Muscle Power during the 5 Sit to Stand Test in Older Individuals: A Validation Study"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9575-9209","authenticated-orcid":false,"given":"Gianluca","family":"Bochicchio","sequence":"first","affiliation":[{"name":"Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9855-9659","authenticated-orcid":false,"given":"Luca","family":"Ferrari","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy"},{"name":"Department of Biomolecular Sciences, University of Urbino, 61029 Urbino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Bottari","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3134-4511","authenticated-orcid":false,"given":"Francesco","family":"Lucertini","sequence":"additional","affiliation":[{"name":"Department of Biomolecular Sciences, University of Urbino, 61029 Urbino, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2702-9965","authenticated-orcid":false,"given":"Alessandra","family":"Scarton","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy"},{"name":"Microgate Srl, 39100 Bolzano, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4394-8550","authenticated-orcid":false,"given":"Silvia","family":"Pogliaghi","sequence":"additional","affiliation":[{"name":"Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37131 Verona, Italy"},{"name":"Research Associate Canadian Center for Activity and Ageing, University of Western Ontario, London, ON N6A 3K7, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1007\/s41999-022-00706-5","article-title":"Defining Terms Commonly Used in Sarcopenia Research: A Glossary Proposed by the Global Leadership in Sarcopenia (GLIS) Steering Committee","volume":"13","author":"Cawthon","year":"2022","journal-title":"Eur. 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