Edouard99 / Stress_Detection_ECG

:stethoscope: This project aims to detect stress state based on Electrocardiogram :hearts: signals (WESAD Dataset) analysis with a deep learning model.

Date Created 2022-09-09 (about a year ago)

Commits 25 (last one about a year ago)

Stargazers 30 (0 this week)

Watchers 1 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 523,840 repositories, of these Edouard99/Stress_Detection_ECG is ranked #506,794 (3rd percentile) for total stargazers, and #489,287 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,760/14,471.

Edouard99/Stress_Detection_ECG is also tagged with popular topics, for these it's ranked: deep-learning (#7,575/7720), classification (#484/498), signal-processing (#185/188)

Other Information

Edouard99/Stress_Detection_ECG has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

ecg-signal deep-learning classification signal-processing physiological-signals

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Recent Commit History

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-05-13 @ 10:11pm, id: 534614491 / R_kgDOH92R2w