Intelligent Monitoring of Vital Parameters in Wireless Applications: Android Solution for Pulse and Body Temperature
In this paper we have set up a system to monitor certain vital parameters such as pulse and body temperature. The application thus developed displays the recorded values and measured sensor data is transmitted through wireless technologies to a mobile computing unit. The application uses a variety of IT systems, both hardware and software. In the first part of the paper is presented the current study of wireless communications. The standard used in the paper is 802.11 (via Wi-Fi). A study on the use of databases using MySQL is also presented. The Raspberry Pi 3 Model B, as a local server, is used to store the data (registered parameters of the sensors). The last part of the paper describes how to send data to an application developed for Android. An intelligent system has been implemented at the application level to allow detection of certain irregularities. These observations are made by analyzing recorded parameters. All information is displayed in a graphical interface. As this application has as main purpose the realization of a complex system that combines various methodologies and solutions, a comparative study of the different current technologies has been carried out in order to highlight the performances and the possibilities for improvement.
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Intelligent Monitoring of Vital Parameters in Wireless Applications: Android Solution for Pulse and Body Temperature
Semantic Scholar · Medicine · 2019
Abstract
In this paper we have set up a system to monitor certain vital parameters such as pulse and body temperature. The application thus developed displays the recorded values and measured sensor data is transmitted through wireless technologies to a mobile computing unit. The application uses a variety of IT systems, both hardware and software. In the first part of the paper is presented the current study of wireless communications. The standard used in the paper is 802.11 (via Wi-Fi). A study on the use of databases using MySQL is also presented. The Raspberry Pi 3 Model B, as a local server, is used to store the data (registered parameters of the sensors). The last part of the paper describes how to send data to an application developed for Android. An intelligent system has been implemented at the application level to allow detection of certain irregularities. These observations are made by analyzing recorded parameters. All information is displayed in a graphical interface. As this application has as main purpose the realization of a complex system that combines various methodologies and solutions, a comparative study of the different current technologies has been carried out in order to highlight the performances and the possibilities for improvement.