Self-Doctor for your Diabetes

Diabetes is a big problem in nowadays. We should prevent diabetes, so we have to implement new technologies to reduce the effect of diabetes. Here I describe about how we can implement IoT for Diabetics mellitus. This is my 6th article in Medium.

By 2025 Internet of Things (IoT) will have huge impact on health and wellness and could reach $1.6 trillion dollars a year. Most of the income will come from IoT-connected wearables, sensors, and medical devices in the early detection, prevention, and ongoing monitoring of many health problems, including pulmonary disease, heart disease and diabetes. To fully utilize IoT, must all the activities be digitalized at every phase in a patient’s care. It may seem impossible but it is much possible. Most of them are already implemented but few critical technologies must be made in order fully connect the healthcare sector.

A chronic disease in which the body either cannot produce insulin or cannot properly use the insulin it produces is Diabetes. The amount of glucose (sugar) in the blood is controlled by a hormone called Insulin. Diabetes can damage organs, blood vessels and nerves by having high blood sugar levels. The body uses insulin to use sugar as a source of energy. If the level of sugar in blood is low then diabetes Insipidus occurs and if level of sugar in blood is high diabetes mellitus occurs. Patients having advanced Type 2 diabetes treated in part with a commonly-used medication that helps their body produce insulin around the clock to keep their blood sugar, also known as glucose, within safe limits. The most serious risk for diabetics like this is not high blood sugar, but low blood sugar, which can kill within hours. The most dangerous time: at night

There are a number of different types of diabetes such as Type 1 diabetes, Type 2 diabetes, Gestational diabetes, Diabetes LADA, Diabetes MODY, Double diabetes, Type 3 diabetes, Steroid-induced diabetes, Brittle diabetes, Secondary diabetes, Diabetes Insipidus, Juvenile diabetes, etc.

• Type 1 diabetes — most common form in children.
• Type 2 diabetes — most common form in adults.
• Gestational diabetes — can occur specifically during pregnancy.
• Diabetes LADA — a form of type 1 that can occur in adults.
• Diabetes MODY — caused by a known genetic mutation.
• Double diabetes — This is when type 1 diabetics develop insulin resistance.
• Type 3 diabetes — Closely linked with Alzheimer’s disease.
• Steroid-induced diabetes — Type 2 brought on by long term use of corticosteroids.
• Brittle diabetes — a form of type 1 that is very hard to control.
• Secondary diabetes — Occurs as a consequence of another medical condition.
• Diabetes Insipidus — a rare form of diabetes not related to diabetes mellitus.
• Juvenile diabetes — Juvenile diabetes refers to diabetes in the young.

The numbers are staggering. The World Health Organization in their 2016 Global Report on Diabetes, shows that approximately 422 million adults were living with diabetes in 2014, compared to 108 million in 1980 around the world. Also, the occurrence of diabetes has nearly doubled since 1980, rising from 4.7% to 8.5% in the adult population around the world. And it caused 1.5 million deaths in 2012, and higher-than-optimal blood glucose caused an additional 2.2 million deaths. Also, it shows that in 2030 diabetes will be the 7th leading cause of death.When it comes to economic impact these numbers don’t consider the economic impact of the disease, both personally and societally.

If we eat sweets/sugar, then our blood pressure will increase so we can identify whether the person is eating the sugar or not. We can make a wrist band and monitor our blood pressure or nowadays smart watches also monitor our blood pressure. We create an app to our smart phone to get the values from smart watches or wrist bands. That app will compare your blood pressure values every second. From the pressure values the app can identify whether your blood pressure is increasing or decreasing. If your pressure is increasing, then you will get a message like “You are eating more sugar” from the app.

But this project is too much complicated because our blood pressure will increase not only by eating sugar but also by smoking, being overweight or obese, lack of physical activity, too much salt in the diet, too much alcohol consumption (more than 1 to 2 drinks per day), stress, older age, genetics, family history of high blood pressure, chronic kidney disease, adrenal and thyroid disorders, sleep apnea and other factors. If blood pleasure increases, then we can’t clearly say whether it increased by eating sugar or not. So we want to consider other factors and want to detect them.

If you have any suggestion to develop this project inform me.

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