tothemoon10080 / CHB-MIT-data-preprocessing-and-prediction

This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

Date Created 2023-11-22 (about a year ago)

Commits 2 (last one about a year ago)

Stargazers 26 (0 this week)

Watchers 1 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 601,131 repositories, of these tothemoon10080/CHB-MIT-data-preprocessing-and-prediction is ranked #590,203 (2nd percentile) for total stargazers, and #548,833 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #118,311/120,802.

tothemoon10080/CHB-MIT-data-preprocessing-and-prediction is also tagged with popular topics, for these it's ranked: python (#22,216/22461), machine-learning (#8,015/8113), signal-processing (#216/218)

All Topics

python eeg-analysis chb-mit-dataset machine-learning signal-processing data-preprocessing feature-extraction epilepsy-prediction healthcare-analytics

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2 commits on the default branch (main) since jan '22

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tothemoon10080/CHB-MIT-data-preprocessing-and-prediction

updated: 2025-01-03 @ 05:38pm, id: 722061848 / R_kgDOKwnKGA