Abstract
Cyber-Physical Systems (CPS) are being developed with the integration of
computational capabilities and communication with physical systems. Recent
technologies like WSN (Wireless Sensor Networks), Communication Networks, Cloud
Computing, Big Data, and many more use CPS. Applications include Smart Grid,
Healthcare, Transportation, and Smart Buildings. CPS has made a huge impact on
increasing the efficiency of medicines and life span in many developed countries. This
has drawn researchers and the government's interest in Medical Cyber-Physical
Systems (MCPS), especially during Covid times. Many models were developed during
the pandemic. One of them is a Machine Learning (ML) integrated X-ray device called
Covilearn. In this chapter, an introduction to CPS in health care, its current trends, and
a device called e-stocking has been discussed. It is being used to treat leg venous
insufficiency. The motive of the application of CPS is to reduce power consumption for
long-term usage. This system is based on a model-driven energy-aware approach.
There are three approaches - Mechanical, Software, and Communication. False alarm is
one of the major issues as it is a pressure on both patients and caretakers. A model
aimed at resolving this problem is proposed and discussed here. Also, the existing
challenges and prospective opportunities in the domain of CPS have been explored.