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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Hauptverfasser: Patrick Slade, Rachel Troutman, Mykel J. Kochenderfer, Steven H. Collins, Scott L. Delp
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2019-06-01
Schriftenreihe:Journal of NeuroEngineering and Rehabilitation
Schlagworte:
Energy expenditure
Estimation
Machine learning
Gait
Ground reaction forces
Electromyography
Online Zugang:http://link.springer.com/article/10.1186/s12984-019-0535-7
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