EliLilly

Advancing actigraphy-based daily activity and sleep analysis with machine learning

The overarching objective of the project is to enhance sleep research by developing an innovative open analytical tool for quantifying human sleep from high resolution wearable movement sensor data. These data are now widely collected in population studies, which typically involve thousands of participants who are asked to wear the movement sensor on their wrist continuously for a week.

This project is externally funded by the Lilly Research Award Program.

Participating organisations

Netherlands eScience Center
Life Sciences
Life Sciences
Accelting
Eli Lilly (United States)

Impact

Output

Team

JW
Jian Wang
Principal Research Scientist
Eli Lilly and Company
CB
Chakib Battioui
Principal Research Scientist
Eli Lilly and Company
Vincent van Hees
Vincent van Hees
Research Engineer
Netherlands eScience Center/Accelting
Lars Ridder
Lars Ridder
eScience Coordinator
Netherlands eScience Center
KS
Kalaivani Sundararajan
Posdoctoral Researcher
Netherlands eScience Center
Sonja Georgievska
Sonja Georgievska
Senior eScience Research Engineer
Netherlands eScience Center

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