Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables

Abstract Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and energy balance. Despite advances in wrist-worn inertial measurement units (IMU), actigraphy remains the most accepted measure for estimating EE, despite known Errors in accuracy, particularl...

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Bibliographic Details
Main Authors: Boyang Wei, Christopher Romano, Mahdi Pedram, Bonnie Nolan, Whitney A. Morelli, Nabil Alshurafa
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Actigraphy
Machine learning
Metabolic equivalent of task
Obesity
Online Access:https://doi.org/10.1038/s41598-025-99963-0
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https://doi.org/10.1038/s41598-025-99963-0

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