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Pandemic like Coronavirus disease shows that there is an urgent need for changing our traditional healthcare monitoring system which produces a lot of waste and pollutes the environment. At present patients need to visit a doctor/clinic to check-up their health. Due to COVID-19, there are risks for doctors and patients to be infected by COVID-19. There are many cases reported worldwide where doctors/nurses and low immunity power people are easily affected by Coronavirus. Many clinics, hospitals are not able to treat regular patients. Therefore, there is a need to change the system for healthcare monitoring. Different types of micro/nano, wearable sensors and devices are developed for diagnosing diseases. The advantages of these micro and wearable sensors are higher sensitivity, fast response and low power consumption. Other hand, Instead of bulky instruments these wearable microsensors can be embedded/attached with the patient and it can monitor the patient's health remotely. Using modern computer and electronics technology like the Internet of Things (IoT) platform (which includes computer vision, Very Large Scale Integration (VLSI), big data analysis, deep learning, machine learning and artificial intelligence), it will become a real time health monitoring system. In this chapter we will initially discuss the present day's healthcare system, followed by micro and wearable sensors used for diagnostic purposes. Further focus of the chapter will be on the electronics used for driving the sensors, devices and the collected data will be transmitted. Finally the frameworks for IoT based wearable sensors will be discussed. These IoT based wearable sensors will be a solution for sustainable healthcare systems.

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