Deep learning for COVID ‐19 contamination analysis and prediction using ECG images on Raspberry Pi 4

This paper's primary goal is to diagnose COVID‐19 contamination based on the artificial intelligence approach automatically. We used convolutional neural network deep learning algorithm for analyzing the ECG images to detect cardiac abnormalities, consequent of the contamination by the SARS‐CoV...

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Veröffentlicht in:	International journal of imaging systems and technology 2023-11, Vol.33 (6), p.1858-1869
Hauptverfasser:	Mhamdi, Lotfi, Dammak, Oussama, Cottin, François, Ben Dhaou, Imed
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Algorithms Artificial intelligence Artificial neural networks Contamination COVID-19 Deep learning Diagnosis Machine learning Respiratory system Viral diseases Viruses
Online-Zugang:	Volltext
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