| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4943073 | Expert Systems with Applications | 2017 | 31 Pages |
Abstract
The present study describes the development of a comprehensive methodology based on machine learning techniques to segment and detect activities of daily living in people with tremor using inertial sensors, which aims at facilitating detailed interpretation of tremor movements by neurologists.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
J. Ignacio Serrano, Stefan Lambrecht, M. Dolores del Castillo, Juan P. Romero, Julián Benito-León, Eduardo Rocon,