An EEG-sEMG Asynchronous Time–Frequency Progressive Fusion Model for Hand Trajectory Estimation
Accurate motor trajectory estimation from physiological signals is essential for developing advanced motor rehabilitation and bionic devices. Fusion of electroencephalography (EEG) and surface electromyography (sEMG) leverages complementary information, yet existing methods primarily target discrete...
Збережено в:
| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
|
| Серія: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11268383/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|