An IoT Framework for Healthcare Monitoring System

• Published in: Journal of physics. Conference series 2021-05, Vol.1913 (1), p.12145
• Main Authors: Dharmik, R C, Gotarkar, Shashank, Dinesh, Pooja, Sant Burde, Harshal
• Format: Article
• Language: English
• Subjects: Algorithms; Artificial intelligence; Edge computing; Health care; Internet of Things; Machine learning; Physicians; Physics; Signs and symptoms; Telemedicine; Tracking devices; Wearable technology
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1913/1/012145

As a result of the developments made in medical and technical aspects, the healthcare sector has been constantly evolving. Over the decades, healthcare has developed by using the best available PC technology. It has become an in-depth source of valuable analytical and analysis data. The health aspects of the person need to be monitored with the utmost concern and treated with appropriate medications. Proactive monitoring of one’s health can cure and prevent several diseases. In recent decades, technology has evolved to its height due to the availability of many wearable devices and health tracking gadgets on the market. Expert doctors also find it difficult to estimate the disease from the symptoms seen from the diseased, but using advanced technical tools such as the Internet of Things (IoT), cloud/edge computing, machine learning and AI along with Big Data will make it much easier for doctors to dig out and describe the root cause of the disease and predict its severity using modern algorithms. The objective is to be able to extract relevant and important information from the massive data usually produced in IOT devices by the front-end sensor frameworks and few intelligences that could be included in the front-end module itself to allow the front-end to make a decision based on data priority.