PRE2016 3 Groep8: Difference between revisions

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== Week planning ==
== Week planning ==
'''Task division'''
Introductory presentation, February 13th: Joris Veens, Ineke Kil
- Defining autonomous part for formula optimizing: Joris Veens, Jolien van der Thiel
- Bluetooth connected kitchen scale: Joris Verhagen, Bjorn van Rixtel
- Lay-out application (inputs, outputs as well): Ainse Kokkelmans
- USE aspects, ethical aspects, social relevance: Ineke


== Case scenario ==  
== Case scenario ==  

Revision as of 14:20, 11 February 2017

Student Numbers of group 8 members

- 0957735

- 0895428

- 0955135

- 0957168

- 0960769

- 0959019


Introduction

Problem definition

More than 1.2 million people in the Netherlands have diabetes. That is about one out of every fourteen people and everyday about 169 people are newly diagnosed. [1] Although it is treatable with medicines or insulin, it is a chronically disease you are confronted with everyday. Depending on the type of diabetes, people have to insert insulin three times a day, around every meal. A diabetes patient always has to keep track of the number of grams of carbohydrates that have been consumed. On the basis of a formula, it can be calculated how much insulin is needed to keep ones blood sugar level on healthy terms. However, this is a standard formula for everyone and throughout your own life it also differs how much extra insulin is needed for every gram of carbohydrates. This formula should actually differ for every person and change from time to time. It is also quite some work to always keep track of the food or carbohydrates you have eaten, especially for a plate full of hot steaming food...

Our solution

Our goal is to develop a diabetes application that helps a patient with the problems mentioned above. The most important part of the application is an algorithm that learns from the user and optimizes the formula accordingly. At the start of using the application you have to fill in what you have eaten on a day and your blood glucose level for a longer period. From this information the algorithm learns what your blood glucose level will be depending only on what you have eaten on a day. This information will be used to let the user know how much insulin must be inserted. Additionally, the input of what you have eaten should be simple. This can be done with text or a picture. The program also remembers what you often eat at a certain time of the day, so if you want to fill in what you have eaten you receive suggestions of specific meals or snacks. As extra help the application can be linked to a kitchen scale with Bluetooth. If you scoop up dinner on your plate while it is on the scale the application immediately knows how much grams of, for instance, potatoes you are going to eat.

Week planning

Task division

Introductory presentation, February 13th: Joris Veens, Ineke Kil

- Defining autonomous part for formula optimizing: Joris Veens, Jolien van der Thiel - Bluetooth connected kitchen scale: Joris Verhagen, Bjorn van Rixtel - Lay-out application (inputs, outputs as well): Ainse Kokkelmans - USE aspects, ethical aspects, social relevance: Ineke

Case scenario

Users

Sources

[1] https://www.diabetesfonds.nl/home