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 Author: Lopes, João M. (author)
Other Authors: Figueiredo, Joana (author), Fonseca, Pedro (author), Cerqueira, João José (author), Vilas Boas, João P. (author), Santos, Cristina (author)
Format: article
Language:eng
Published: 2022
Subjects:
Artificial intelligence
Deep learning
Energy expenditure
Gait rehabilitation
Human-inthe-loop
Robotics-based rehabilitation
Wearable sensors
Science & Technology
Online Access:https://hdl.handle.net/1822/81030
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/81030

Internet

https://hdl.handle.net/1822/81030

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