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| | Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a ReviewEasyChair Preprint 6048, version historyJavad Hassannataj Joloudari, Sanaz Mojrian , Issa Nodehi , Amir Mashmool , Zeynab Kiani Zadegan , Sahar Khanjani Shirkharkolaie , Roohallah Alizadehsani , Tahereh Tamadon , Samiyeh Khosravi , Mitra Akbari Kohnehshari , Edris Hassannatajjeloudari , Danial Sharifrazi , Amir Mosavi , Hui Wen Loh , Ru-San Tan  and U Rajendra Acharya | Version | Date | Pages | Version notes | 
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 | 1 | July 11, 2021 | 18 |  |  | 2 | February 21, 2022 | 16 | The new version is edited in terms of context, Figures, and Tables. |  | 3 | March 10, 2022 | 16 | We add the new authors to our paper. | 
Keyphrases: Deep Convolutional Neural Network, Electrocardiogram, Myocardial Infarction Disease, deep learning, diagnosis, machine learning | 
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