2023
Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis
VanDyk T, Meyer B, DePetrillo P, Donahue N, O’Leary A, Fox S, Cheney N, Ceruolo M, Solomon A, McGinnis R. Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis. IEEE Transactions On Neural Systems And Rehabilitation Engineering 2023, 31: 2279-2286. PMID: 37115839, PMCID: PMC10408384, DOI: 10.1109/tnsre.2023.3271601.Peer-Reviewed Original ResearchConceptsPrediction of fall riskStanding transitionsDigital phenotypingFall riskNon-fallersSymptom monitoringPhysician assessmentMultiple sclerosisBiweekly assessmentsClinical metricsCharacterize symptomsHome monitoringSymptomsFatigueMotor instabilityAccelerometryFallersAssessmentPwMSPersonsApplications of wearablePhysiciansIsolation periodActivity classifierIntervention
2022
Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis
Tulipani L, Meyer B, Allen D, Solomon A, McGinnis R. Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis. Gait & Posture 2022, 94: 19-25. PMID: 35220031, PMCID: PMC9086135, DOI: 10.1016/j.gaitpost.2022.02.016.Peer-Reviewed Original ResearchConceptsWearable sensorsFall statusFall riskUnsupervised conditionsChair stand test performanceClassification AUCUnsupervised monitoringChair stand testAccelerometer-derived metricsPredicting fall riskStandard Functional AssessmentSupervised performanceBalance confidenceFunctional mobilityWearableNon-fallersStand testBalance deficitsRoutine clinical assessmentSupervision visitsSensorThree-month periodPerformanceFunctional assessmentMultiple sclerosis
2020
Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis
Tulipani L, Meyer B, Larie D, Solomon A, McGinnis R. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis. Gait & Posture 2020, 80: 361-366. PMID: 32615409, PMCID: PMC7413823, DOI: 10.1016/j.gaitpost.2020.06.014.Peer-Reviewed Original ResearchConceptsInertial sensorsAccelerometer-based approachFall riskBalance confidenceWearable inertial sensorsStand-to-sit transitionsTriaxial acceleration dataFall statusWearable sensorsAccelerometer-based metricsMeasures of disease severityAccelerometer featuresSelf-report outcome measuresChair stand testWearable accelerometersAccelerometer-derived metricsSit-to-standSit-stand transitionsAccuracy of functional assessmentsChallenging taskMetricsSensorClinical metricsAcceleration dataLogistic regression models