Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification
Motor imagery-based brain-computer interface (MI-BCI) systems convert user intentions into computer commands, aiding the communication and rehabilitation of individuals with motor disabilities. Traditional MI classification relies on supervised learning; however, it faces challenges in acquiring lar...
| প্রধান লেখক: | , , , |
|---|---|
| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
IEEE
2024-01-01
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| মালা: | IEEE Access |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://ieeexplore.ieee.org/document/10680037/ |