Smart Health Care System

Diabetes type 2, (t2dm) is a chronic disease that affects the insulin level of body. Insulin handles glucose that is a class of sugar in human blood. The prevalence of type 2 diabetes mellitus in Pakistan is approximately 11.77%. Issues in control and prevention of diabetes mellitus type 2 (t2dm) in

Project Title

Smart Health Care System

Project Area of Specialization

Internet of Things

Project Summary

Diabetes type 2, (t2dm) is a chronic disease that affects the insulin level of body. Insulin handles glucose that is a class of sugar in human blood. The prevalence of type 2 diabetes mellitus in Pakistan is approximately 11.77%. Issues in control and prevention of diabetes mellitus type 2 (t2dm) include sampling of blood and timely analysis. Many applications are designed for analysis of t2dm most application work for fitness and patient analysis so, that is not enough for cure diseases and to improve quality of life of a patient. We needed the most favourable application and devices for treatment.

Out proposed system measures the level of blood insulin and alerts close relatives and family doctor doctor with the help of GPS, GSM technology and use buzzer for display message through small LCD that are attached with a patient. Out of two critical situations, one is hyperglycemia (shout level of sugar) and other is hypoglycemia both are abnormalities. Out system will detect both of these types.

Project Objectives

This project will help to diagnose the Diabetes on early stages and awareness about Diabetes. It will be low cost solution and it will help the doctor to diagnose Diabetes type 2.

Project Implementation Method

T2dm mostly affect, and older persons occur when the pancreas does not produce enough insulin. Our methodology is that we are using non-invasive sensor and through this patient not get rigid during analysing, previous researchers used invasive sensor patient may become panic due to prinking the finger many times. Our system consists of both Desktop and Android application and free cloud-based through GSM Sensor. Previous methodology scientist used an invasive sensor that is body specific and creates some irritation for patients during testing for diagnosing diabetes and, we can see there is no alert system. So, we kept these things in mind and purposed such methodology discussed are as under(Rodgers, Pai et al. 2014).

                   Figure 3: Non-invasive analyser

1. 1.  Architecture Design

Our team decides to modify the previous architecture model of (t2dm). In his model, we have the flexibility to modify, and communication of system Show that.

                Figure 4: Working Methodology

Body glucose meter sensor (non-invasive) and other IoT’s devices communicate with Arduino/raspberry pie Data devices. Sensors analog signal analyses by Arduino/raspberry devices. These devices share data with mobile application and optional with cloud computing to the desktop application. In this application, we add one step of security for user authentication. Same as it is present at the web-based application for personal doctor authentication. The mobile application communicates with other features like alerting user (alert to the user at critical levels of diabetes), Alert at added mobile numbers (by SMS with GPS location of the patient) these number added by self like friends and nearby relatives for rescues. At the same time alert to emergency (ambulance for urgent treatment). Last turn alerts the doctor (ready for situation handling). Web-based application use to registered and admitted patient though doctor’s perception. This application stores all data of the patient at the service side. Optional feature use clouding computer this is advance foam but expensive. Cloud computing directly communicate with IoT sensors.

1. 1. Data analyses

Action at these conditions for different situations. This graphical information gathering by a local doctor.

                     Figure 5: Range of diabetes level

Benefits of the Project

Early diagnose and better treatment of Diabetes type 2

Technical Details of Final Deliverable

Non-invasive sensor (glucometer)

This non-invasive sensor works at the principle of light penetration into the skin, when body glucose level at higher condition then the power of light penetration less as compared to the low level of glucose.

IoT (internet of things) use for wireless communication through services [8].

Smartphone

Smartphone use for application interaction with the user for analysis and alert by GSM and mobile data. If we cannot use the smartphone, then we need cloud computing and IoT, s for communication between patient to doctors and other entities.

 Personal computer

Personal computer uses to doctor for patient analysis and HCI functionality. Like web-application.

1.  processing model

In this model show functionality of the application.

             Figure 7: FUNCTIONALITY OF MODEL

1. 1. Sensor

We use a non-invasive sensor for the comfort of the patient. This sensor works at the principle of light intensity. The sensor takes reading from a body and send to Arduino/raspberry pie. [13][18]

1. 1. Intel Microcontroller

These device use for data processing. When the data came from the sensor, sensor side data almost analog or unrefined foam. Arduino and raspberry pie convert data into processing foam and make to able for functionality. [14]

1. 1. Mobile Application

 The mobile application provides human interaction and controls all alerting functionality like SMS sending, Patient position after the attack. Another feature is self-analysis.

1. 1. Web-Based Application

Web-Application divided into two portions one side is doctor side in which doctor registered patient after the patient analysis. Doctor analysis all previous record of the patient. Other side patient check by self all recoveries and deficiency in health cure.  

1. 1. Application functionality

Application analysis of all conditions of the patient. When the application detected critical or harmful levels of diabetes, then alert the patient, nearby person though display attached at the jacket and by buzzer tone. In next step alert the regimented five mobile number those added by self. After all these application alert doctor and emergency rescue. All of these communications proceeded with the help of GPS, GSM, and mobile Data-network.

1. 1. Use of display and buzzer

 The display shows that all situations how to treat patients and what happened with the patient. Buzzer attracted the near persons for help.

Final Deliverable of the Project

Hardware System

Core Industry

Medical

Other Industries

IT , Health

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com