REMAP Controlled dataset

Parkinson's disease (PD) is a neurodegenerative disorder characterised by motor symptoms, such as gait dysfunction and postural instability. Technological tools to continuously monitor outcomes could capture the hour-by-hour symptom fluctuations of PD. Development of such tools is hampered by the lack of labelled datasets from home settings. To this end, we propose REMAP, a human rater-labelled dataset of REal-world Mobility Activities in Parkinson's disease including people with and without PD doing sit-to-stand transitions and turns in gait while living in a home setting. These discrete activities are captured from free-living (unobserved, unstructured) and during clinical assessments. The PD participants withheld their dopaminergic medications for a time (causing increased symptoms), so their events are labelled as being “on” or “off” medications. We include accelerometry from wrist-worn wearables and skeleton pose camera data. We present this controlled dataset available on application where there is more refined data (this is a sister dataset to the open dataset, REMAP Open, where the data is coarsened for anonymisation).
Use of this dataset is governed by the data.bris Research Data Access Agreement for Controlled data (https://www.bristol.ac.uk/staff/researchers/data/accessing-research-data/); commercial use may be arranged under bespoke agreements.