Automatically evaluating balance using machine learning and data from a single inertial measurement unit

Automatically evaluating balance using machine learning and data from a single inertial measurement unit

Abstract Background Recently, machine learning techniques have been applied to data collected from inertial measurement units to automatically assess balance, but rely on hand-engineered features. We explore the utility of machine learning to automatically extract important features from inertial me...

Full description

Bibliographic Details
Main Authors: Fahad Kamran, Kathryn Harrold, Jonathan Zwier, Wendy Carender, Tian Bao, Kathleen H. Sienko, Jenna Wiens
Format: Article
Language:English
Published: BMC 2021-07-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Balance training
Wearable sensors
Machine learning
Telerehabilitation
Online Access:https://doi.org/10.1186/s12984-021-00894-4

Internet

https://doi.org/10.1186/s12984-021-00894-4

Similar Items