Rapid energy expenditure estimation for ankle assisted and inclined loaded walking

Abstract Background Estimating energy expenditure with indirect calorimetry requires expensive equipment and several minutes of data collection for each condition of interest. While several methods estimate energy expenditure using correlation to data from wearable sensors, such as heart rate monito...

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Detalhes bibliográficos
Principais autores: Patrick Slade, Rachel Troutman, Mykel J. Kochenderfer, Steven H. Collins, Scott L. Delp
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-06-01
coleção:Journal of NeuroEngineering and Rehabilitation
Assuntos:
Energy expenditure
Estimation
Machine learning
Gait
Ground reaction forces
Electromyography
Acesso em linha:http://link.springer.com/article/10.1186/s12984-019-0535-7
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