Artificial Intelligence and IoT based Automatic smart health care system to monitor and avoid Blood pressure and all types of Diabetes to avoid it early stages for healthy life for all ages using WSN, image processing and deep learning algorithms
Creators: name: Rajamani, Santhosh Kumar
name: Sapra, Puneet
name: E.S, Manikandan
name: S, Vidya
name: Oliver, A.Sheryl
name: Trivedi, Himanshu
Publisher: name: figshare
Year: 2022
Subjects: Health promotion
Health care administration

description: Since the number of people with chronic ailments, such as the elderly and the disabled, has risen substantially, there is an urgent need for a fresh approach to health-care system design. Under the new method, traditional healthcare facilities such as hospitals, nursing homes, and other such venues would be utilised less frequently. Instead, individualised treatment will be prioritised. Particularly in the fields of artificial intelligence (AI) and machine learning, contemporary technology is developing at a rapid rate. This has made the development of an intelligent healthcare system more important than ever (ML). This study aims to find what's new in smart healthcare systems by analysing recent advancements in important areas such as wearable and smartphone devices for health monitoring, machine learning for disease detection, and the frameworks that enable these technologies. Some of this endeavor's most noteworthy outcomes are listed below. The first innovative component of this study is the creation of a system for continuous in-home health monitoring called WISE (Wearable IoT-cloud-based hEalth monitoring system). The initials represent a cloud-based wearable IoT health monitoring solution. WISE utilises BASN (body area sensor network) technology for real-time health monitoring. A number of wearable sensors, including those that monitor your heart rate, temperature, and blood pressure, have been included. Second, the majority of wearable health monitoring systems display, process, and transmit data via a smartphone. Consequences will be imposed on those who use their phones excessively as a result of this requirement. The BASN collects real-time data and transmits it as rapidly as possible to the cloud. A lightweight wearable LCD might potentially be used to display the data quickly. The Internet of Things has introduced a slew of new options and applications to patients in the medical field. Medical work necessitates the use of an Internet of Things application. When we discuss Internet of Things (IoT) technology, we are referring to a real-time monitoring system that is easy to use, consumes little power, and can be monitored in real time. Remote health monitoring has advanced significantly in recent years. This endeavour represents a significantstep forward. Standard monitoring systems require patients to be admitted to hospitals to ensure that signals are monitored properly. There may be adverse consequences for patients, particularly those with serious and unstable health problems, making care more dangerous for them. As a result, novel ideas in this field can be generated by modern electronic devices and internet technology. A high-speed microcontroller continuously monitors and analyses patient symptoms. This method enables early detection of heart disease, potentially saving lives. Due to the critical nature of this review page for the Smart mobile app, the results are displayed in real time when the Smart app is launched on your phone.