Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6950670 | Biomedical Signal Processing and Control | 2018 | 10 Pages |
Abstract
These results indicate that the proposed CNN-based system can provide satisfactory effectivity and efficiency in detecting FOG gaits if used suitably and can be beneficial to realize an accurate monitoring and gait assistance during daily living and rehabilitation therapy.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Yi Xia, Jun Zhang, Qiang Ye, Nan Cheng, Yixiang Lu, Dexiang Zhang,