MED: Muse™-based Eye-blink Detection Algorithm Using a Single EEG Channel
Author:
Affiliation:
1. Technion - Israel Institute of Technology,Faculty of Electrical Engineering,Haifa,Israel
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10014679/10014707/10014708.pdf?arnumber=10014708
Reference14 articles.
1. Low-Cost Portable 4-Channel Wireless EEG Data Acquisition System for BCI Applications
2. Choosing MUSE: Validation of a Low-Cost, Portable EEG System for ERP Research
3. Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals
4. A wearable EEG-based drowsiness detection system with blink duration and alpha waves analysis
5. ld convolutional neural network approach to classify voluntary eye blinks in eeg signals for bci applications;lo giudice;2020 Int Joint Conf on Neural Networks (IJCNN),2020
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