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 (2 years ago)

Commits 25 (last one 2 years ago)

Stargazers 41 (0 this week)

Watchers 1 (0 this week)

Forks 6

License unknown

Ranking

RepositoryStats indexes 584,777 repositories, of these Edouard99/Stress_Detection_ECG is ranked #507,854 (13th percentile) for total stargazers, and #536,275 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,832/17,124.

Edouard99/Stress_Detection_ECG is also tagged with popular topics, for these it's ranked: deep-learning (#7,596/8398), classification (#484/540), signal-processing (#195/215)

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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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: 2024-11-20 @ 12:20pm, id: 534614491 / R_kgDOH92R2w