Examining Tongue Movement Intentions in EEG-Based BCI with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation
Dysphagia, a common swallowing disorder particularly prevalent among older adults and often associated with neurological conditions, significantly affects individuals’ quality of life by negatively impacting their eating habits, physical health, and social interactions. This study investigates the p...
Saved in:
| Main Authors: | Aslan Sevgi Gökçe, Yılmaz Bülent |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-10-01
|
| Series: | The EuroBiotech Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ebtj-2024-0017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system
by: R. Shelishiyah, et al.
Published: (2025-01-01) -
Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models
by: Sevgi Gokce Aslan, et al.
Published: (2024-01-01) -
Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System
by: Ali Özkahraman, et al.
Published: (2024-12-01) -
FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding
by: Sixiong Ke, et al.
Published: (2024-01-01) -
Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces
by: Xin Deng, et al.
Published: (2021-01-01)