IoT-Based COVID-19 Health Monitoring System: Context, Early Warning and Self-Adaptation. - Antonio Iyda Paganelli; Adriano Branco; Markus Endler; Pedro Elkind Velmovitsky; Pedro Miranda 001; Plinio Pelegrini Morita; Paulo Alencar 001; Donald D. Cowan (IEEE BigData, 2021)

Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications. - Antonio Iyda Paganelli; André Sarmento; Adriano Branco; Markus Endler; Nathalia Moraes do Nascimento; Paulo S. C. Alencar; Donald D. Cowan (IEEE Big Data, 2022)

A novel self-adaptive method for improving patient monitoring with composite early-warning scores. - Antonio Iyda Paganelli; Pedro Elkind Velmovitsky; Adriano Branco; Markus Endler; Plinio Pelegrini Morita; Paulo Alencar 001; Donald D. Cowan (IEEE Big Data, 2022)

A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home. - Antonio Iyda Paganelli; Pedro Elkind Velmovitsky; Pedro Miranda 001; Adriano Branco; Paulo Alencar 001; Donald D. Cowan; Markus Endler; Plinio Pelegrini Morita (Internet Things, 2022)

Real-time data analysis in health monitoring systems: A comprehensive systematic literature review. - Antonio Iyda Paganelli; Abel González Mondéjar; Abner Cardoso da Silva; Greis F. M. Silva-Calpa; Mateus F. Teixeira; Felipe Gomes de Carvalho; Alberto Barbosa Raposo; Markus Endler (J. Biomed. Informatics, 2022)