Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors

Deep Learning-Based Energy Expenditure Estimation in Assisted and Non-Assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors

Energy expenditure is a key rehabilitation outcome and is starting to be used in robotics-based rehabilitation through human-in-the-loop control to tailor robot assistance towards reducing patients’ energy effort. However, it is usually assessed by indirect calorimetry which entails a certain degree...

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Bibliographic Details
Main Authors: João M. Lopes, Joana Figueiredo, Pedro Fonseca, João J. Cerqueira, João P. Vilas-Boas, Cristina P. Santos
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
artificial intelligence
deep learning
energy expenditure
gait rehabilitation
human-in-the-loop
robotics-based rehabilitation
Online Access:https://www.mdpi.com/1424-8220/22/20/7913

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https://www.mdpi.com/1424-8220/22/20/7913

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