Wearable-sensor data with merged and separate freezing of gait episodes for freeze detection and prediction in Parkinson’s disease

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Description:
Wearable-sensor data with merged and separate freezing of gait episodes. Walking trials with participants with Parkinson’s disease. Contains inertial measurement unit (IMU) and plantar-pressure based features. Suited for freeze detection and prediction in Parkinson’s disease.
Source Repository:
University of Waterloo Dataverse
Series:
Jonathan Kofman Dataverse
Access:
Public
License:
CC0
URL:
https://doi.org/10.5683/SP2/UFZTLV
Publication date:
2021-05-01
Subjects:
Medicine, Health and Life Sciences, Engineering
Keywords:
Parkinson’s disease, freezing of gait, wearable sensor, inertial measurement unit, IMU, plantar pressure, detection, prediction

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Citation

APA Citation:
Wearable-sensor data with merged and separate freezing of gait episodes for freeze detection and prediction in Parkinson’s disease. (2021). [Data set]. University of Waterloo Dataverse. https://doi.org/10.5683/SP2/UFZTLV
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