DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device

Kuetche Fotsing, Alexendre Noura, Pascal Ntsama Eloundou, Colince Welba, Thierry Simo. DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device. In Franklin Tchakounté, Marcellin Atemkeng, Rajeswari Pillai Rajagopalan, editors, Safe, Secure, Ethical, Responsible Technologies and Emerging Applications - First EAI International Conference, SAFER-TEA 2023, Yaoundé, Cameroon, October 25-27, 2023, Proceedings. Volume 566 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 297-307, Springer, 2023. [doi]

Abstract

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