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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Detalles Bibliográficos
Autores principales: Lopes, João M., Figueiredo, Joana, Fonseca, Pedro, Cerqueira, João J., Vilas-Boas, João P., Santos, Cristina P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607229/
https://www.ncbi.nlm.nih.gov/pubmed/36298264
http://dx.doi.org/10.3390/s22207913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607229/
https://www.ncbi.nlm.nih.gov/pubmed/36298264
http://dx.doi.org/10.3390/s22207913

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