Diabetes is a disease that affects millions of people in the world, but it doesn't have to be an impediment to living a full life... through the incorporation of new technologies, the connection of different devices - glucose reader patch, smartband and smartphones - and considering the three fundamental pillars for the control and improvement of this pathology - insulin level, diet and physical activity, we offer an application that monitors and performs constant follow-up of the user, providing metrics and statistics for a correct control of the evolution of it, in addition to a follow-up and prediction of possible peaks
Registration and type of users
First, the user must identify himself as "patient/family" or as "doctor"
Then all the necessary health data (weight, age, type of diabetes) is loaded and the other devices (smartband and reader) are linked
The entrance to the platform will be by facial recognition, which allows the prediction of possible glucose peaks through artificial intelligence (paleness, dark circles)
Pillars of control
GLUCOSE: through the sensor, data is collected at different times of the day
PHYSICAL EXERCISE: the smart band collects data from the activity carried out
FOOD: artificial intelligence, based on the data from the other pillars, estimates how many (and what types) of nutrients should be ingested to have a balance. The user takes a photo of his food and immediately calculates if the intake is close to the optimal point or not.
Statistics and reminders
STATISTICS: show the evolution of glucose, exercise and food variations. This is very important for a good monitoring of the disease
REMINDERS: different types can be activated, such as meal times or insulin injection
The sensor is inserted into the upper arm by a certified healthcare professional and measures glucose continuously for 6 months
The transmitter sits above the sensor and wirelessly sends data to the user's mobile device; is removable and rechargeable and emits unique alerts by vibration on the body
The application has different interfaces depending on who the user is (patient, family or doctor). It shows the current glucose level (and its evolution statistics) and the physical activity carried out. Based on these two pillars, artificial intelligence determines how much and what food can be eaten. Possible spikes in blood glucose are also anticipated and reminders can be activated
The smartband makes it possible to measure the physical activity carried out by the user and the hours of sleep, which are essential indicators for the correct control of diabetes.
In addition, they have a section called "diabetes" that shows the person what glucose level they currently have
HOW DOES IT WORK?
Once the application has the glucose level, physical activity and diet data, the artificial intelligence analyzes it. If one is unbalanced, it sends signals to correct it
example? if the person has a high carbohydrate diet, it is very possible that their glucose level will change. In this situation, signals will be sent to measure glucose in short periods of time and the user will be suggested to replace their diet. with other foods, once balanced the application returns to its normal control times.
It allows the transmission of data from the sensor and the smartband with the application.
It is used to store, manage and process the data obtained by the devices connected to the application.
It facilitates the connectivity of the smartphone and allows the upload of data in the cloud.
Artificial intelligence predicts possible spikes in the disease.