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Dataset · Hugging Face

smam/chb-mit-seizure-windows-2to1

CHB-MIT Seizure Detection - Balanced Binary Classification Dataset Dataset Description Preprocessed, balanced version of the CHB-MIT Scalp EEG Database for binary seizure classification tasks. Key Features Window Size: 8 seconds Sample Rate: 200 Hz Channels: 18 (standardized from original 23) Samples per Window: 1600 Non-seizure ratio: 2:1 (non-seizure:seizure) Balance Strategy Only full seizure windows where the entire 8s is… See the full description on the dataset page: https://huggingface.co/datasets/smam/chb-mit-seizure-windows-2to1.

Author / organizationsmam
License (as declared)cc-by-4.0
Downloads289 (as reported by Hugging Face)
Likes0
Created26 February 2026
Last updated at source5 March 2026
EEGseizure-detectionmedicalneuroscienceCHB-MIT
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  • 17 Oct 2026 Description: CHB-MIT Seizure Detection - Balanced Binary Classification Dataset Dataset Description Preprocessed, balanced version of the CHB-MIT Scalp EEG Database for binary seizure classification tasks. Key Features Window Size: 8 seconds Sample Rate → CHB-MIT Seizure Detection - Balanced Binary Classification Dataset Dataset Description Preprocessed, balanced version of the CHB-MIT Scalp EEG Database for binary seizure classification tasks. Key Features Window Size: 8 seconds Sample Rate

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