Difference between revisions of "Team:Grenoble-Alpes/Software"
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<h5 class="popup-description"> This part allows to follow each step and to run the full analysis by controlling the Arduino card. Each step is described by the following pseudo-code. </h5> | <h5 class="popup-description"> This part allows to follow each step and to run the full analysis by controlling the Arduino card. Each step is described by the following pseudo-code. </h5> | ||
<h5 class="popup-description"> - Check that the temperature is at 37°C inside the kit. The user will be ask to wait until the light on the kit becomes green.</h5> | <h5 class="popup-description"> - Check that the temperature is at 37°C inside the kit. The user will be ask to wait until the light on the kit becomes green.</h5> | ||
Revision as of 21:02, 27 October 2017
Application
The Braman lake seems to be suspended at the mountains’ summits. Credits: Estelle Vincent
Why using a smartphone as a detection device ?
It was decided to use a smartphone as a detection device for multiple reasons. Firstly, it was realized that because today’s smartphones capabilities are increasing, they are being used for more and more applications every day, including in the medical field. As a matter of fact, smartphones’ cameras can outperform some standalone cameras in certain domains, and for our purpose, they proved to be as effective as photodiodes for the detection of fluorescence, which translates in no loss of precision by using such device. Secondly, they are accessible wherever we are, which is ideal for the purpose of the kit as it is meant to also be used in remote places. Ultimately, a smartphone also comes with the advantage of being able to process the data it is acquiring in real time, and can then transfer this processed data to a remote database over cellular network.
The application interface
On this page is reproduced the application interface. The home page of this application is represented below with its three different buttons: "Maps", "Data" and "Analysis".
"Maps" fetch the data stored in the database and display them at every update. The data we are getting is a world map showing the cases of cholera.
"Data" fetch the data stored in the database and display them at every update. The data we are getting are the following. A histogram will show the evolution of cholera cases as time passes and it will also show the number of tests made during a given week. There will be a histogram per month (4 weeks roughly) at per African country.
Finally, "Analysis" is where a new analysis starts and as it was not possible to reproduce this "Analysis" interface, the different steps of how the analysis is programmed are explained.
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