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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.authorElsayed-Aly, Ingy
dc.contributor.authorRicciardi, Catherine E.
dc.contributor.authorTemporelli, Robin
dc.date.accessioned2025-08-27T16:38:32Z
dc.date.available2025-08-27T16:38:32Z
dc.date.issued2025-08-18
dc.identifier.urihttps://hdl.handle.net/1721.1/162570
dc.description.abstractHuman gait analysis is essential for clinical evaluation and rehabilitation monitoring, particularly in post-stroke individuals, where joint kinematics provide valuable insights into motor recovery. While optical motion capture (OMC) is the gold standard, its high cost and restricted use in laboratory settings limit its accessibility. This study aimed to evaluate the accuracy of REEV SENSE, a novel magnetometer-free inertial measurement unit (IMU), in capturing knee and ankle joint angles during overground walking in post-stroke individuals using assistive devices. Twenty participants with chronic stroke walked along a 10-m walkway with their usual assistive device (cane or walker), while joint kinematics were simultaneously recorded using OMC and IMUs. Agreement between the systems was assessed using the mean absolute error, root mean square error, 95% confidence intervals, and Pearson’s correlation coefficient. Knee angles measured with the IMUs showed a strong correlation with the OMC (r > 0.9) and low errors (MAE < 5°), consistent with clinical acceptability. Ankle angle accuracy was lower for participants using walkers, while knee measurements remained stable regardless of the assistive device. These findings demonstrate that REEV SENSE IMUs provide clinically relevant kinematic data and support their use as a practical wearable tool for gait analysis in real-world or remote clinical settings.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/s25165123en_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 Gait Analysis in Stroke: A Clinical Study on Lower Limb Kinematicsen_US
dc.typeArticleen_US
dc.identifier.citationMarsan, T.; Clauzade, S.; Zhang, X.; Grandin, N.; Urman, T.; Linton, E.; Elsayed-Aly, I.; Ricciardi, C.E.; Temporelli, R. REEV SENSE IMUs for Gait Analysis in Stroke: A Clinical Study on Lower Limb Kinematics. Sensors 2025, 25, 5123.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Clinical and Translational Researchen_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.updated2025-08-27T13:59:32Z
dspace.date.submission2025-08-27T13:59:32Z
mit.journal.volume25en_US
mit.journal.issue16en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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