ActiGraph data for physical activity, gait and balance analysis
Principal Investigator
Name
Elias Abou Zeid
Degrees
PhD
Institution
Sanofi
Position Title
Senior Scientist
Email
About this CDAS Project
Study
IDATA
(Learn more about this study)
Project ID
IDATA-35
Initial CDAS Request Approval
Apr 27, 2020
Title
ActiGraph data for physical activity, gait and balance analysis
Summary
In some clinical studies it is important to assess the participant physical activity. Nowadays, this is can be done by asking the participant to wear actigraphy devices which collect 3D acceleration data. Among existing actigraphy devices, devices from ActiGraph (GT3x or GT9x) are the most widely used in the literature. To evaluate the quality of the ActiGraph devices, our project consists of accessing existing public ActiGraph (GT3x or GT9x) dataset for the purpose of studying the device reliability, and quality for measuring physical activity in general (e.g. gait parameters).
Aims
Analysis of ActiGraph GT3x or GT9x signal quality like noise level, sample drop
Analysis of ActiGraph ability to measure physical activity like step counts and gait speed.
Collaborators
Hillol Sarker, Sanofi