Dynamic neural network approach to targeted balance assessment of individuals with and without neurological disease during non-steady-state locomotion

Dynamic neural network approach to targeted balance assessment of individuals with and without neurological disease during non-steady-state locomotion

Abstract Background Clinical balance assessments often rely on functional tasks as a proxy for balance (e.g., Timed Up and Go). In contrast, analyses of balance in research settings incorporate quantitative biomechanical measurements (e.g., whole-body angular momentum, H) using motion capture techni...

Full description

Bibliographic Details
Main Authors: Nathaniel T. Pickle, Staci M. Shearin, Nicholas P. Fey
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Biomechanics
Rehabilitation
Gait
Balance
Wearable sensing
Sparse sensing
Online Access:http://link.springer.com/article/10.1186/s12984-019-0550-8

Internet

http://link.springer.com/article/10.1186/s12984-019-0550-8

Similar Items