IoB: Sensors for Wearable Monitoring and Enhancing Health Care Systems

The health care industry is very rapidly embracing the Internet of Bodies (IoB). The reason for this trend is that IoB features are widely integrated into medical devices that improve efficiency and quality of service. Ongoing surveillance is needed for seniors and patients with chronic diseases. The IoB health care spending solution will reach an astounding US $1 trillion by 2025 for some estimates. It sets the stage for accessible, highly personalized and timely health services for all. The sensors will be integrated into the environment or worn by the user to collect a wealth of information about mental and physical health. Such information, when exploited and aggregated on a continuous and effective basis, can lead to positive changes in the health care landscape. The patient's physiological state is monitored clinically using IoB sensors. By analyzing the collected information, the data will be sent to the processing centers for appropriate action in the cloud environment. The data will check the condition of normal people as well as the sensors. This paper focuses on an IoB application for health care using sensors like KY-039, LM35 and DB1820 and implementing Python middleware for data scripting.