Bhuvaneshwari Patil; International Journal of Advance Research, Ideas and Innovations in Technology © 2020, www.IJARIIT.com All Rights Reserved Page |14 ISSN: 2454-132X Impact factor: 6.078 (Volume 6, Issue 5) Available online at: www.ijariit.com Portable IoT based health monitoring system Bhuvaneshwari Patil bsp14052001@gmail.com Ramaiah Institute of Technology, Bengaluru, Karnataka ABSTRACT In present times, the number of patients is increasing rapidly. There are many health management systems and the systems are lacking in one or other features. One of the major issues is that not all patients are treated with utmost care which can sometimes be dangerous in case of emergency or critical patients and common people cannot be able to afford the basic health monitoring system. The lack of communication between patients and the hospital staff might be there because of the patient’s health conditions, effects of medication, because they have an ongoing disability. Existing systems are digital but they aren't portable, that creates a vast problem and communication gap between hospital staff and patients. This motivates us to solve the aforementioned problems in the existing system using sensors which solve the problem of portable devices for measuring the patient health parameters and send the readings to the cloud database, these reading can be used by the doctor during patient diagnosis as the history is saved in cloud. The proposed health management system will solve the problems related to real-time monitoring of patient’s conditions without being connected to the bed in the hospital all the time as it is simple to implement, use and cost effective. Keywords: sensors, IoT, Raspberry Pie 1. INTRODUCTION The Internet of Things is a topic of social, economic, and technical significance. Internet of Thing using sensors, Processors, and Microcontrollers with accessories are used for communication through the internet and are becoming the constitutive part of the Internet, it is built with a suitable protocol which helps them interact with each other and with the users respectively. This communication through the internet plays a major role in the Internet of things which reduces the difficulty faced by patients and doctors. The homecare [1,2] can be provided instead of the expensive clinical care. IoT technology is increasing to support the cost and quality of patient life; it also increases the life span of patients with proper medication. Undetected health problems can be solved through this IoT Technology. Further, digital identity for each patient can be maintained by which complications can be greatly reduced. The communication between the health sensor device [3] with the computer or Smartphone which has the default ability to communicate with the server makes the whole system cost-effective and the complexity of the system is also reduced. Hence, the system can also be made IoT enabled and Machine compatible. With the new system, we have a design enabling the patients to keep track of their own data records [4]. This new system will improve the quality of life for old age people who need constant monitoring and help their family members by giving them a quick report about the patient every time they want to know as well as a notification in case of danger. We are targeting the most general use-cases related to the health of patients depend upon like heartbeat, temperature, etc. Emergency switch in the new system will reduce the dependency that the existing systems have on nurses and staff. The proposed system under this report will be a prototype of the actual full-featured system we aimed at initially. Further enhancement with new concise and better processors can be integrated to make it more reliable and faster. The proposed model uses modern solutions to improve the current existing hospital management system. This new system will improve the quality of care resulting in obvious benefits to patient care. The benefit of this model is that it reports to the doctor and the staff about the patient’s condition constantly which reduces the communication gap in case of emergency and offers patients the invaluable assurance that someone is watching out for their health and helps them recover quickly. This model increases the capacity for physicians to treat more patients. Also, it saves a lot of time and saves the cost of treatment as well as it is much cheaper to build compared to existing systems. Further enhancement can be done with new concise and better processors that can be integrated to make it more reliable and faster.