2022
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 learning
2021
Children with Cerebral Palsy Have Similar Walking and Running Quality Assessed by an Overall Kinematic Index
Kelly D, McMulkin M, Franklin C, Cooney K. Children with Cerebral Palsy Have Similar Walking and Running Quality Assessed by an Overall Kinematic Index. International Journal Of Environmental Research And Public Health 2021, 18: 4683. PMID: 33924873, PMCID: PMC8124669, DOI: 10.3390/ijerph18094683.Peer-Reviewed Original ResearchConceptsGait Deviation IndexDiplegic cerebral palsyCerebral palsyMotion analysis centersDiplegic CPRunning kinematicsGDI scoreDeviation indexSeparate walkingRunning abilityWalking dataKinematic indicesPalsyRetrospective comparative studyWalkingAnalysis of varianceActive participationParticipantsChildrenOverall indexEffects of activationQualityRunningCerebralIndex
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