A wearable sensor dataset featuring data collected from 38 persons with multiple sclerosis (PwMS), 21 of which are identified as fallers and 17 as non-fallers based on 6 month fall history. Both in lab and remote data are available.
In order to explore fall risk and performance of daily life activities, we introduce a new open-source dataset featuring data collected from 38 persons with multiple sclerosis (PwMS), 21 of which are identified as fallers and 17 as non-fallers based on their six-month fall history. This dataset contains inertial-measurement-unit data from several body locations collected in the laboratory, patient-reported surveys and neurological assessments, and two days of free-living sensor data from the chest and right thigh. Six-month repeat assessment (n = 28) and one-year repeat assessment (n = 15) data are also available for some patients.