# Glucose Data Classification for Diabetic Patient Monitoring
## 1 Introduction  
The presence of Internet of Things (IoT) technology is growing in several important technical areas like healthcare, smart houses, etc., and nowadays these applications are more and more accessible, available, and versatile, and allow the integration of the interconnected objects. The most important step in the field of intelligent health care is the quality of life of patients. For this reason, it is more important to build a new application in this field [1]. Daily mobile healthcare service is becoming more and more important. Chronic diseases influence the health of the people living with them, such as cardiovascular and diabetic diseases [2; 3]. From patient data, analyses can be used to identify people who need \"proactive care\" or those who need a lifestyle change to avoid a deterioration in their health status. Patients do not have a problem giving away part of their privacy if this can help to save their lives or other people's lives. \"If having more information about me enables me to live longer and be healthier\", said [PERSON] of the Electronic Privacy Information Center, \"then I do not think I am going to object. If having more information about me means my insurance rates go up, or that I'm excluded from coverage or other things that might adversely affect me, then I may have a good reason to be concerned\" [4]. Diabetes is a dangerous disease that can affect humans. Many deaths in the worlds are caused by diabetes, and most people are not yet aware of its danger. In addition, diabetes has occurred when an increase or a decrease in the level of glucose in the blood emerges. Therefore, it is necessary to keep it stable at a precise interval [5]. The growth of diabetic patients increased the use of continuous glucose monitoring devices (CGM), which are becoming the new method of continuous monitoring. They provide real-time information about the glucose level, which is updated every five minutes [6]. A glucose concentration value \(\leq\)70 mg/dL is defined as hypoglycemic and a glucose concentration value \(\geq\)180 mg/dL is defined as hyperglycemic. Periodic blood glycemic checks and consultation by medical experts is very important for patients. Then, to give an end to all these difficulties, a mobile blood glycemic device is required to send the glucose value to the medical experts. In other words, with the help of a tele-monitoring application, the problem can be solved. The tele-monitoring platform is based on SMS services via the GSM network that can be widely accessible. In this paper, a smartphone-based wireless blood glucose monitoring system is developed. The measurement of blood glucose will be sent to the mobile phone through the wireless communication protocol (Bluetooth, Wi-Fi, Zigbee, RF). After that, the given information will be shared on a mobile or a web application. The purpose of this paper is to discuss the implementation of a digital blood glucose meter system integrated with the wireless network for monitoring a patient's glucose level in real-time. The patient can do the measurements by himself/herself at any place; the glucose level sensor will automatically send the data to the medical experts via SMS (Short Message Service). This application is firstly designed to help diabetic patients; secondly it is to provide periodic communication with the medical expert; and finally, it is intended for certain emergency cases and real-time applications. In addition to all these benefits, the medical expert could often monitor the patient's health remotely and provide early treatment if something happened to the patient. A healthcare data analytics system can help patients avoid several serious health problems, and can greatly influence the cost of patients for individual treatment [7]. The main contents of this paper are organized as follows; Section 2 resumes the description of current research on the application of blood glucose level measurement for diabetics. Section 3 describes the basic theory of the digital blood glucose meter, e-health module, and GSM module.