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Home / programming language / Online Dotnet Projects / An IoT Based System for Remote Patient Monitoring
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Dotnet Project - Cloud Computing, Final Year Project
  • Dotnet Project - Cloud Computing, Final Year Project

An IoT Based System for Remote Patient Monitoring

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SKU: PROJ7399 Categories: 2017 Projects, Cloud Computing Projects, Online Dotnet Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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An IoT Based System for Remote Patient
Monitoring

Abstract— a surgical procedure, patients are monitored in an ICU until physically stable, after which are discharged to a ward for further evaluation and recovery. Usually, ward evaluation does not imply continuous physiological parameters monitoring and therefore patient relapse is not uncommon. The present paper describes the steps taken to design and build a low-cost modular monitoring system prototype. This system aims to offer mobile support in order to facilitate faster and better medical interventions in emergency cases and has been
developed using low-power dedicated sensor arrays for EKG, SpO2, temperature and movement. The interfaces for these
sensors have been developed according to the IoT model: a central control unit exposes a RESTful based Web interface that ensures a platform agnostic behaviour and provides a flexible mechanism to integrate new components.a surgical procedure, patients are monitored in an ICU until physically stable, after which are discharged to a ward for further evaluation and recovery. Usually, ward evaluation does not imply continuous physiological parameters
monitoring and therefore patient relapse is not uncommon. The present paper describes the steps taken to design and build a low-cost modular monitoring system prototype. This system aims to offer mobile support in order to facilitate faster and better medical interventions in emergency cases and has been developed using low-power dedicated sensor arrays for EKG, SpO2, temperature and movement. The interfaces for these sensors have been developed according to the IoT model: a central control unit exposes a RESTful based Web interface that ensures a platform agnostic behaviour and provides a flexible mechanism to integrate new components. < final year projects >

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