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Using Sensors to Measure Activity in People with Stroke

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dc.contributor.authorFulk, George D.
dc.contributor.authorSazonov, Edward
dc.contributor.otherClarkson University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T21:10:23Z
dc.date.available2023-09-28T21:10:23Z
dc.date.issued2011
dc.description.abstractPurpose: The purpose of this study was to determine the ability of a novel shoe-based sensor that uses accelerometers, pressure sensors, and pattern recognition with a support vector machine (SVM) to accurately identify sitting, standing, and walking postures in people with stroke. Methods: Subjects with stroke wore the shoe-based sensor while randomly assuming 3 main postures: sitting, standing, and walking. A SVM classifier was used to train and validate the data to develop individual and group models, which were tested for accuracy, recall, and precision. Results: Eight subjects participated. Both individual and group models were able to accurately identify the different postures (99.1% to 100% individual models and 76.9% to 100% group models). Recall and precision were also high for both individual (0.99 to 1.00) and group (0.82 to 0.99) models. Conclusions: The unique combination of accelerometer and pressure sensors built into the shoe was able to accurately identify postures. This shoe sensor could be used to provide accurate information on community performance of activities in people with stroke as well as provide behavioral enhancing feedback as part of a telerehabilitation intervention.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationFulk, G. D., & Sazonov, E. (2011). Using Sensors to Measure Activity in People with Stroke. In Topics in Stroke Rehabilitation (Vol. 18, Issue 6, pp. 746–757). Informa UK Limited. https://doi.org/10.1310/tsr1806-746
dc.identifier.doi10.1310/tsr1806-746
dc.identifier.orcidhttps://orcid.org/0000-0001-7792-4234
dc.identifier.orcidhttps://orcid.org/0000-0001-9139-2238
dc.identifier.urihttps://ir.ua.edu/handle/123456789/12044
dc.languageEnglish
dc.language.isoen_US
dc.publisherTaylor & Francis
dc.subjectaccelerometry
dc.subjectphysical activity
dc.subjectstroke
dc.subjectwearable sensors
dc.subjectAMBULATORY ACTIVITY
dc.subjectPHYSICAL-ACTIVITY
dc.subjectCOMMUNITY AMBULATION
dc.subjectACCELEROMETRY
dc.subjectREHABILITATION
dc.subjectRELIABILITY
dc.subjectRECOVERY
dc.subjectVALIDITY
dc.subjectWALKING
dc.subjectSCALE
dc.subjectRehabilitation
dc.titleUsing Sensors to Measure Activity in People with Strokeen_US
dc.typeArticle
dc.typetext

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