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GitHub / aaleksandraristic / Intelligent-ECG-Diagnostic-System-based-on-CNN-Models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaleksandraristic%2FIntelligent-ECG-Diagnostic-System-based-on-CNN-Models
PURL: pkg:github/aaleksandraristic/Intelligent-ECG-Diagnostic-System-based-on-CNN-Models

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 325 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 5 months ago

Topics: classification-algorithm, cnn-keras, cnn-model, convolutional-neural-networks, deep-learning, deep-neural-networks, ecg-classification, ecg-signal, image-classification, image-preprocessing, machine-learning, resnet, resnet-50, vgg16, vgg16-model

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