Overview

In recent times, research in human-focused robot technologies aims to bring social-emotional intelligence closer, which interconnects with human lifestyles. Among several areas that can benefit from it, the healthcare sector, which consists of many possible areas of therapeutic interposition, is the most vital. Further, there is always concern about patient adherence to cardiac rehabilitation. It is essential to understand the motivational factors affecting patient participation and compliance with cardiac rehabilitation by recognizing and understanding the nature of patient experiences. Cognitive Cardiac Rehabilitation Using IoT and AI Tools describes the application of AI techniques used to extract features from brain and heart signal data and to better efficiency compared to the existing methods. This book also describes the application of AI tools to classify disorders and better performance compared to the existing benchmarks. Covering topics such as cardiac rehabilitation, heart disease prediction, and online social media analytics, this premier reference source is an excellent resource for healthcare professionals, medical engineers, hospital administrators, students and educators of higher education, researchers, and academicians.

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9781668475614

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Parijat Bhowmick is presently an Assistant Professor at the Department of Electronics and Electrical Engineering of IIT Guwahati. Prior to joining this position, he worked as a Post-doctoral Research Associate for three years at the Control Systems Centre, University of Manchester, UK. He completed his PhD degree in Control Engineering from IIT Kharagpur in the year 2018. He did his Master's from Jadavpur University in 2012 with the same specialisation. He was a recipient of the University Gold Medal in ME and was also a recipient of the Institute Silver Medal during his B. Tech. He is an active researcher in the horizon of Robust control of uncertain systems, Negative Imaginary Systems theory, Vibration control of mechatronic systems, Cooperative Control of Multi-agent Systems (including Multi-Robot Systems) and Control of Smart/Micro-grid Systems. He has published around forty papers so far in Tier-I international journals and flagship conferences. He has also guided five PhD students till date in the domain of Control and Robotics.

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