Role of Embedded Computing Systems in Biomedical Applications–Opportunities and Challenges

Embedded computing systems are an amalgamation of various electronic devices, sensors, and processor that is designed to perform specific tasks. In the biomedical field, embedded computing systems are typically used to process data and storage purposes. In recent years, there has been a surge in interest in embedded computing systems for biomedical applications because of their high level of dependability and ability to provide effective healthcare solutions and services. These systems play an important in various applications such as electronic devices, specialized health care systems, reliable wearable electronic gadgets, electrocardiograms, and others. With tremendous technological innovations, such as the assimilation of computing systems with the IoT (Internet of Things) and AI (artificial intelligence) ML (Machine Learning) are the driving factors which has led to gain tremendous usage in the present scenario, and it will continue to grow exponentially in future with global advancements. This technological transformation could certainly create a revolution in embedded computing systems having the global market estimated to be USD 86.5 billion in 2020 and projected to reach USD 116.2 billion by 2025; at a CAGR of 6.1% from 2020 to 2025. This paper attempts to brief the role, opportunities, and challenges of embedded computing devices in the biomedical field particularly to health care applications.