IMHMS: IoT Based Modern Health Care Monitoring System
1Balasubramanian R, 2Marikkannan M.
1M.E., Computer Science and Engineering (PG Scholar), Department of Computer Science and Engineering, Government College of Engineering, Erode, India.
2Assistant Professor (Senior), Department of CSE, Government College of Engineering, Erode, India.
Abstract
Internet of Things (IoT) technology has attracted much attention in recent years for its potential to alleviate the strain on healthcare systems caused by an aging population and a rise in chronic illness. Standardization is a key issue limiting progress in this area, and thus this paper proposes a standard model for application in future IoT healthcare systems. This survey paper then presents the state-of-the-art research relating to each area of the model, evaluating their strengths, weaknesses, and overall suitability for a wearable IoT healthcare system. Challenges that healthcare IoT faces including security, privacy, wearability, and low-power operation are presented, and recommendations are made for future research directions [1]. we survey state-of-the-art methods, protocols, and applications in this new emerging area. This survey paper proposes a novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly. As compared to similar survey papers in the area, this paper is far more comprehensive in its coverage and
exhaustively covers most major technologies spanning from sensors to applications [5]. Internet of Things (IoT) especially in the Healthcare area, we want to take care of our elders with some monitoring equipment, and the Internet of Things can play a monitoring equipment, and the Internet of Things can play a significant role [15]. ZigBee, Long-range Wide Area Network (LoRaWAN), Radio Frequency Identification (RFID). Apart from this, it was also observed that remote monitoring system in healthcare is incomplete without data processing and early prediction in such diseases [15].
Key words: Healthcare, LoRaWAN, ZigBee, Radio Frequency Identification (RFID).
