Title
IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection.
Abstract
Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial applications from navigation systems to guidance and robotics. Their use in clinical practice is now becoming more common, thanks to miniaturization and the ability to integrate on-board computational and decision-support features. IMU-based gait analysis is a paradigm of this evolving process, and in this ...
Year
DOI
Venue
2018
10.1109/JBHI.2018.2865218
IEEE Journal of Biomedical and Health Informatics
Keywords
Field
DocType
Machine learning,Wearable sensors,Feature extraction,Body sensor networks,Parkinson's disease,Legged locomotion,Sensitivity analysis
Computer vision,Units of measurement,Weighting,Pattern recognition,Feature selection,Gait,Computer science,Feature extraction,Gait analysis,Inertial measurement unit,Artificial intelligence,Robotics
Journal
Volume
Issue
ISSN
22
6
2168-2194
Citations 
PageRank 
References 
4
0.47
0
Authors
7