Jathurshan0330/TFM-Tokenizer
Official Code Repository of "Tokenizing Single-Channel EEG with Time-Frequency Motif Learning". arXiv: https://arxiv.org/abs/2502.16060
This tool helps researchers and clinicians analyze single-channel EEG signals more effectively. It takes raw EEG data as input, identifies meaningful patterns in the brainwave activity, and converts them into discrete tokens. These tokens can then be used by advanced AI models to improve the accuracy and interpretation of tasks like sleep staging or seizure detection.
Use this if you are working with single-channel EEG data and want to improve the performance and generalizability of your existing analysis models, especially for tasks like sleep staging or anomaly detection.
Not ideal if you are analyzing multi-channel EEG data without a need for single-channel processing, or if you are not using AI models that benefit from tokenized input.
Stars
24
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
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