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dc.contributor.authorMohammadi-Ghazi, Reza
dc.contributor.authorNguyen, Hung
dc.contributor.authorMishra, Ram Kinker
dc.contributor.authorEnriquez, Ana
dc.contributor.authorNajafi, Bijan
dc.contributor.authorStephen, Christopher D.
dc.contributor.authorGupta, Anoopum S.
dc.contributor.authorSchmahmann, Jeremy D.
dc.contributor.authorVaziri, Ashkan
dc.date.accessioned2022-10-26T17:35:26Z
dc.date.available2022-10-26T17:35:26Z
dc.date.issued2022-10-20
dc.identifier.urihttps://hdl.handle.net/1721.1/145995
dc.description.abstractThe study presents a novel approach to objectively assessing the upper-extremity motor symptoms in spinocerebellar ataxia (SCA) using data collected via a wearable sensor worn on the patient&rsquo;s wrist during upper-extremity tasks associated with the Assessment and Rating of Ataxia (SARA). First, we developed an algorithm for detecting/extracting the cycles of the finger-to-nose test (FNT). We extracted multiple features from the detected cycles and identified features and parameters correlated with the SARA scores. Additionally, we developed models to predict the severity of symptoms based on the FNT. The proposed technique was validated on a dataset comprising the seventeen (<i>n</i> = 17) participants&rsquo; assessments. The cycle detection technique showed an accuracy of 97.6% in a Bland&ndash;Altman analysis and a 94% accuracy (F1-score of 0.93) in predicting the severity of the FNT. Furthermore, the dependency of the upper-extremity tests was investigated through statistical analysis, and the results confirm dependency and potential redundancies in the upper-extremity SARA assessments. Our findings pave the way to enhance the utility of objective measures of SCA assessments. The proposed wearable-based platform has the potential to eliminate subjectivity and inter-rater variabilities in assessing ataxia.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/s22207993en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleObjective Assessment of Upper-Extremity Motor Functions in Spinocerebellar Ataxia Using Wearable Sensorsen_US
dc.typeArticleen_US
dc.identifier.citationSensors 22 (20): 7993 (2022)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering. Laboratory for Infrastructure Science and Sustainability
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.updated2022-10-26T11:07:58Z
dspace.date.submission2022-10-26T11:07:58Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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