{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T23:15:58Z","timestamp":1773789358874,"version":"3.50.1"},"reference-count":50,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T00:00:00Z","timestamp":1708905600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science and Technology (Taiwan)","award":["MOST 109-2221-E008-028"],"award-info":[{"award-number":["MOST 109-2221-E008-028"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The study aims to construct an inertial measuring system for the application of amputee subjects wearing a prosthesis. A new computation scheme to process inertial data by installing seven wireless inertial sensors on the lower limbs was implemented and validated by comparing it with an optical motion capture system. We applied this system to amputees to verify its performance for gait analysis. The gait parameters are evaluated to objectively assess the amputees\u2019 prosthesis-wearing status. The Madgwick algorithm was used in the study to correct the angular velocity deviation using acceleration data and convert it to quaternion. Further, the zero-velocity update method was applied to reconstruct patients\u2019 walking trajectories. The combination of computed walking trajectory with pelvic and lower limb joint motion enables sketching the details of motion via a stickman that helps visualize and animate the walk and gait of a test subject. Five participants with above-knee (n = 2) and below-knee (n = 3) amputations were recruited for gait analysis. Kinematic parameters were evaluated during a walking test to assess joint alignment and overall gait characteristics. Our findings support the feasibility of employing simple algorithms to achieve accurate and precise joint angle estimation and gait parameters based on wireless inertial sensor data.<\/jats:p>","DOI":"10.3390\/s24051519","type":"journal-article","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T10:40:17Z","timestamp":1708944017000},"page":"1519","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Inertial Measuring System to Evaluate Gait Parameters and Dynamic Alignments for Lower-Limb Amputation Subjects"],"prefix":"10.3390","volume":"24","author":[{"given":"Shao-Li","family":"Han","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, National Central University, Taoyuan 32001, Taiwan"},{"name":"Department of Physical Medicine and Rehabilitation, Changhua Christian Hospital, Changhua 500209, Taiwan"}]},{"given":"Meng-Lin","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, National Central University, Taoyuan 32001, Taiwan"}]},{"given":"Min-Chun","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, National Central University, Taoyuan 32001, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.apmr.2007.08.136","article-title":"Three-Dimensional Motions of Trunk and Pelvis during Transfemoral Amputee Gait","volume":"89","author":"Pillet","year":"2008","journal-title":"Arch. 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