Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging
The integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However, existing research in this domain has grappled with the challenge of the efficient selection of features, resulting in the und...
Saved in:
| Main Authors: | Chayut Bunterngchit, Jiaxing Wang, Zeng-Guang Hou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10643872/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
fNIRS, EEG, ECG, and GSR reveal an effect of complex, dynamically changing environments on cognitive load, affective state, and performance, but not physiological stress
by: Henrikke Dybvik, et al.
Published: (2025-06-01) -
A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features
by: Muhammad Talha, et al.
Published: (2025-01-01) -
Applications and advances of combined fMRI-fNIRs techniques in brain functional research
by: Lirui Yang, et al.
Published: (2025-03-01) -
Spectrogram Zeros Method for Rolling Bearing Fault Diagnosis Under Variable Rotating Speeds
by: Trong-Du Nguyen, et al.
Published: (2025-01-01) -
Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke
by: Sun Xiaolong, et al.
Published: (2024-12-01)