Publicado:
2023-10-15Número:
Vol. 17 Núm. 2 (2023)Sección:
Visión de CasoDiseño de una solución basada en computación en la nube para el telemonitoreo de saturación de oxígeno y frecuencia cardiaca en tiempo real
Design of a cloud computing-based solution for real-time oxygen saturation and heart rate telemonitoring
Palabras clave:
Cloud, design, heart rate, oxygen saturation, telemonitoring, vital signs (en).Palabras clave:
nube, saturación de oxigeno, signos vitales, telemonitoreo (es).Descargas
Resumen (es)
El presente articulo propone un diseño arquitectural basado en computación en la nube ofreciendo un espacio digital que integra todo lo necesario para dar solución a necesidades al servicio sanitario específicamente para realizar telemonitoreo frecuencia cardiaca y saturación de oxígeno en tiempo real. los clientes de atención médica y ciencias de la vida que buscan agregar datos de múltiples fuentes para determinar la condición de un paciente donde se desarrolló un prototipo de software de telemonitoreo que utiliza datos agregados que conducen a una mejor comprensión de la condición del paciente ofreciendo la capacidad de modelar la progresión de la condición subyacente, lo que eventualmente brinda el potencial de predecir el inicio de las afecciones. Este trabajo sienta las bases para continuar con la exploración de nuevos mecanismos para extraer datos de dispositivos médicos, aplicaciones móviles e incluso chips en nuestros cuerpos para diagnosticar la salud del paciente de manera más rápida.
Palabras clave: diseño, frecuencia cardiaca, nube, saturación de oxígeno, signos vitales telemonitoreo.
Resumen (en)
This article proposes an architectural design based on cloud computing, offering a digital space that integrates everything necessary to provide a solution to the needs of the health service, specifically for real-time heart rate and oxygen saturation telemonitoring. healthcare and life sciences clients looking to aggregate data from multiple sources to determine a patient's condition where a telemonitoring software prototype was developed that uses aggregated data leading to a better understanding of the patient's condition by offering the ability to model the progression of the underlying condition, eventually providing the potential to predict the onset of conditions. This work lays the groundwork to continue exploring new mechanisms to extract data from medical devices, mobile applications, and even chips in our bodies to diagnose patient health more quickly.
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