Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis
Meyer B, Tulipani L, Gurchiek R, Allen D, Solomon A, Cheney N, McGinnis R. Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis. PLOS Digital Health 2022, 1: e0000120. PMID: 36812538, PMCID: PMC9931255, DOI: 10.1371/journal.pdig.0000120.Peer-Reviewed Original ResearchWalking boutsFall riskGait parametersOpen-source datasetsNon-fallersFeature-based modelWalking bout durationClassification performanceWearable sensorsFall risk classificationDaily activity performancePatient-reported surveysBiannual clinical visitsFall risk estimationBout durationDeep learning modelsFall historyShort boutsClinic visitsInvestigate fall riskWalking dataRisk estimatesAssociated with morbiditySensor dataDeep learningThe Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis
Tulipani L, Meyer B, Fox S, Solomon A, Mcginnis R. The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis. IEEE Transactions On Neural Systems And Rehabilitation Engineering 2022, 30: 1213-1222. PMID: 35468063, PMCID: PMC9204833, DOI: 10.1109/tnsre.2022.3169962.Peer-Reviewed Original ResearchConceptsSensory impairmentInvestigate impairmentsDaily lifeLevel of clinical disabilityPerformance metricsStructured tasksImpairmentPyramidal impairmentSub scoresMultiple sclerosisDaily life monitoringDichotomize participantsSit-stand transitionsClinical disabilityClassification performanceTaskWearable sensorsSupervised settingChest featuresFaller classificationDeficitsLife monitoringLow fall riskArea under the curveFunctional assessment