Energy Expenditure Estimation in Children, Adolescents and Adults by Using a Respiratory Magnetometer Plethysmography System and a Deep Learning Model

Energy Expenditure Estimation in Children, Adolescents and Adults by Using a Respiratory Magnetometer Plethysmography System and a Deep Learning Model

Purpose: Energy expenditure is a key parameter in quantifying physical activity. Traditional methods are limited because they are expensive and cumbersome. Additional portable and cheaper devices are developed to estimate energy expenditure to overcome this problem. It is essential to verify the acc...

Full description

Bibliographic Details
Main Authors: Fenfen Zhou, Xiaojian Yin, Rui Hu, Aya Houssein, Steven Gastinger, Brice Martin, Shanshan Li, Jacques Prioux
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Nutrients
Subjects:
energy expenditure
age
respiratory magnetometer plethysmography
physical activities
temporal convolutional networks model
Online Access:https://www.mdpi.com/2072-6643/14/19/4190

Internet

https://www.mdpi.com/2072-6643/14/19/4190

Similar Items