EMG-based body–machine interface for targeted trunk muscle activation
Deficits in trunk control, commonly observed in individuals with neurological conditions, can significantly impair balance, posture, and functional movements. Body–machine interfaces (BoMIs) are promising tools for trunk rehabilitation, as they can provide real-time feedback on user movements and mu...
Saved in:
| Main Authors: | Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914825000292 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on Finger Gesture Interface Using One-Channel EMG
by: Hee-Yeong Yang, et al.
Published: (2025-01-01) -
The classification of EMG signals using machine learning for the construction of a silent speech interface.
by: Chandrashekhar, V.
Published: (2021-08-01) -
An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning
by: Joseph Berman, et al.
Published: (2024-01-01) -
Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development
by: Jung-Hoon Sul, et al.
Published: (2025-06-01) -
Simultaneous and Proportional Myoelectric Control of Multiple Degrees of Freedom in Individuals With Chronic Hemiparesis
by: Caleb J. Thomson, et al.
Published: (2025-01-01)