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Three-Stage Power Supply System Model for a Wearable IoT Device for COVID-19 Patients.
Alvarez-Gonzalez, Ricardo; Gonzalez-Campos, Edgar R; Quiroz-Hernandez, Nicolas; Sanchez-Galvez, Alba M.
  • Alvarez-Gonzalez R; Faculty of Electronic SciencesBenemérita Universidad Autónoma de PueblaPuebla 72000 Mexico.
  • Gonzalez-Campos ER; Faculty of Electronic SciencesBenemérita Universidad Autónoma de PueblaPuebla 72000 Mexico.
  • Quiroz-Hernandez N; Faculty of Electronic SciencesBenemérita Universidad Autónoma de PueblaPuebla 72000 Mexico.
  • Sanchez-Galvez AM; Faculty of Electronic SciencesBenemérita Universidad Autónoma de PueblaPuebla 72000 Mexico.
IEEE Embed Syst Lett ; 15(2): 61-64, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: covidwho-20232229
ABSTRACT
During the current crisis caused by the COVID-19 pandemic, Wearable IoT (WIoT) health devices have become essential resources for remote monitoring of the main physiological signs affected by this disease. As well as sensors, microprocessor, and wireless communication elements are widely studied, the power supply unit has the same importance for the WIoT technology, since the autonomy of the system between recharges is of great importance. This letter presents the design of the power supply system of a WIoT device capable of monitoring oxygen saturation and body temperature, sending the collected data to an IoT platform. The supply system is based on a three-stage block consisting of a rechargeable battery, battery charge controller, and dc voltage converter. The power supply system is designed and implemented as a prototype in order to test performance and efficiency. The results show that the designed block provides a stable supply voltage avoiding energy losses, which makes it an efficient and rapidly developing system.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Idioma: Inglés Revista: IEEE Embed Syst Lett Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Idioma: Inglés Revista: IEEE Embed Syst Lett Año: 2023 Tipo del documento: Artículo