Abstract | ||
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Complex sensor arrays prohibit practical deployment of existing wearables-based algorithms for free-living analysis of muscle and joint mechanics. Machine learning techniques have been proposed as a potential solution, however, they are less interpretable and generalizable when compared to physics-based techniques. Herein, we propose a hybrid method utilizing inertial sensor- and electromyography ... |
Year | DOI | Venue |
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2022 | 10.1109/TBME.2021.3102009 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Knee,Electrodes,Legged locomotion,Instruments,Machine learning,Muscles,Electromyography | Journal | 69 |
Issue | ISSN | Citations |
2 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Reed D Gurchiek | 1 | 5 | 2.15 |
Nicole Donahue | 2 | 0 | 0.34 |
Niccolo M Fiorentino | 3 | 0 | 0.34 |
Ryan S Mcginnis | 4 | 0 | 0.34 |