Abstract
This work presents an analysis of surface electromyography (EMGs) and electroencephalography (EEG) signals through movement intention patterns. For this purpose, an experimental protocol based on these signals was developed with the aim of studying the motor intentionality of knee flexion/extension. The analysis of the events related to the desynchronization/synchronization (ERD/ERS) of the neurons from the EEG signals was performed, as well as the comparison of the patterns of the EMG signals acquired in the upper extremity and in the trunk. Preliminary results show that from these signals it is possible to recognize patterns to identify movement intention that could be applied in hybrid control strategies for a knee exoskeleton. knee exoskeleton.
| Translated title of the contribution | Exploration of Emgs/eeg Patterns Oriented to the Control of Lower Extremity Exoskeletons |
|---|---|
| Original language | Spanish (Ecuador) |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Cognitive Area Networks |
| Volume | 3 |
| Issue number | 3 |
| State | Published - 30 Jun 2016 |
Keywords
- Emgs
- Exoskeleton
- Lower extremity
- Movement intention
- Pattern recognition
- Trunk
CACES Knowledge Areas
- 417A Electronics, Automation and Sound
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