skanderhamdi/attention_cnn_lstm_covid_mel_spectrogram

Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound

26
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Experimental

This project helps medical researchers and diagnosticians develop and test automated systems for detecting COVID-19. It takes recordings of cough sounds and uses advanced signal processing to analyze them, outputting a diagnosis. The primary users are researchers working on respiratory health diagnostics.

No commits in the last 6 months.

Use this if you are a researcher or medical professional looking to explore or build automated systems for COVID-19 diagnosis using cough sound analysis.

Not ideal if you need a ready-to-use diagnostic tool for patient care, as this project is for research and development, not a deployed solution.

COVID-19 diagnosis respiratory sound analysis medical research bioacoustics public health screening
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 11 / 25

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4

Language

Python

License

Last pushed

Aug 31, 2022

Commits (30d)

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