Title | ||
---|---|---|
IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection. |
Abstract | ||
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carlotta Caramia | 1 | 5 | 1.22 |
Diego Torricelli | 2 | 57 | 9.97 |
Maurizio Schmid | 3 | 89 | 16.32 |
Adriana Munoz-Gonzalez | 4 | 4 | 0.47 |
jose gonzalezvargas | 5 | 20 | 2.74 |
Francisco Grandas | 6 | 4 | 0.47 |
J. L. Pons | 7 | 152 | 22.09 |