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Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments.

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Title: Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments.
Authors: Zambrano-de la Torre, Misael1 (AUTHOR), Guzman-Alfaro, Sebastian1,2 (AUTHOR) sebastian.guzman@uaz.edu.mx, Acuña-Correa, Andrea1,2 (AUTHOR), Soto-Murillo, Manuel A.1,2 (AUTHOR), Guzmán-Fernández, Maximiliano1 (AUTHOR), Robles-Ortiz, Ricardo1 (AUTHOR), Villagrana-Bañuelos, Karen E.1 (AUTHOR), Arceo-Olague, Jose G.1 (AUTHOR), Espino-Salinas, Carlos H.1 (AUTHOR), Sánchez-Reyna, Ana G.1 (AUTHOR), Cuevas-Rodriguez, Erik O.1 (AUTHOR)
Source: Bioengineering (Basel). May2026, Vol. 13 Issue 5, p532. 26p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. May2026, Vol. 13 Issue 5, p532. 26p.
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              Text: May2026
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