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dc.contributor.authorMarsan, Thibault
dc.contributor.authorClauzade, Sacha
dc.contributor.authorZhang, Xiang
dc.contributor.authorGrandin, Nicolas
dc.contributor.authorUrman, Tatiana
dc.contributor.authorLinton, Evan
dc.contributor.authorSibachir, Samy
dc.contributor.authorRicciardi, Catherine E.
dc.contributor.authorTemporelli, Robin
dc.date.accessioned2026-02-02T19:25:57Z
dc.date.available2026-02-02T19:25:57Z
dc.date.issued2026-01-18
dc.identifier.urihttps://hdl.handle.net/1721.1/164708
dc.description.abstractObjective gait assessment is essential for post-stroke rehabilitation monitoring, yet optical motion capture systems remain inaccessible to most clinical settings due to cost and infrastructure constraints. This study assessed the validity of the REEV SENSE IMU for measuring spatiotemporal gait parameters in post-stroke individuals and evaluated assistive device effects on measurement accuracy. Twenty chronic post-stroke participants were enrolled, and fourteen completed the study (ten without an assistive device, four using a cane) after applying pre-defined exclusion criteria (walking speed <0.28 m/s, n = 6). Participants walked at self-selected speed while simultaneously being recorded by REEV SENSE IMUs and optical motion capture. Spatiotemporal parameters from matched heel strikes were compared using intraclass correlation coefficients (ICC), mean relative error (MRE), and Bland–Altman analysis. Temporal parameters demonstrated excellent reliability: contact time (ICC 0.96–0.99, MRE 2.77–5.45%), stride duration (ICC 0.95–0.99, MRE 2.57–2.62%), and cadence (ICC 0.98–0.99, MRE 1.80–1.93%). Spatial parameters showed greater variability, with stride length degrading substantially in slow-walking conditions (Cane group: ICC 0.76, MRE 8.60%). REEV SENSE provides reliable temporal parameter measurement comparable to commercial systems, positioning it as a practical tool for clinical gait monitoring in post-stroke rehabilitation. However, spatial parameter accuracy requires cautious interpretation in slow-walking regimes, necessitating independent validation when clinical decisions depend on precise stride length estimates.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/s26020667en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleREEV SENSE IMUs for Spatiotemporal Gait Analysis in Post-Stroke Patients: Validation Against Optical Motion Captureen_US
dc.typeArticleen_US
dc.identifier.citationMarsan, T.; Clauzade, S.; Zhang, X.; Grandin, N.; Urman, T.; Linton, E.; Sibachir, S.; Ricciardi, C.E.; Temporelli, R. REEV SENSE IMUs for Spatiotemporal Gait Analysis in Post-Stroke Patients: Validation Against Optical Motion Capture. Sensors 2026, 26, 667.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Clinical and Translational Researchen_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.relation.journalSensorsen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2026-02-01T17:54:49Z
dspace.date.submission2026-02-01T17:54:49Z
mit.journal.volume26en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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