Cognitive Cardiac Rehabilitation Using IoT and AI Tools

Parijat Bhowmick (Indian Institute of Technology, Guwahati, India), Sima Das (Bengal College of Engineering and Technology, India), and Kaushik Mazumdar (Indian Institute of Technology, Dhanbad, India)

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781668475614

ISBN13 Softcover: 9798337347349

EISBN13: 9781668475621

DOI: 10.4018/978-1-6684-7561-4

Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence (AI)
Cardiac Rehabilitation
Electroencephalogram
Emotional Behavior
Heart Disease Prediction
Internet of Things (IoT)
Machine Learning Algorithms
Mental Health Predictions
Myocardial Biology
Online Social Media Analytics

Search this Book:

Reset

Indexing

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.

Sima Das is an Assistant Professor in the Department of Computer Science and Engineering at Bengal College of Engineering and Technology, Durgapur, India. She previously served as an Assistant Professor in the Department of Computer Science and Engineering at Camellia Institute of Technology and Management in Hooghly, West Bengal, India. Sima Das completed her M. Tech in Computer Science and Engineering in August 2020 from Maulana Abul Kalam Azad University of Technology (Main Campus), located in West Bengal, India. She is Doctoral Fellow in the Department of Computer Science and Engineering at NIT Rourkela, Odisha, India. Her areas of expertise and interest include Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, Cybersecurity, Smart Healthcare, and Agriculture. Sima Das has been recognized for her outstanding research contributions with the Research Excellence Award from the Global Innovation & Excellence Award in 2021. She is an Associate Member of the Institute of Engineers and a Professional Member of IEEE. Sima Das has authored numerous books, book chapters, conference papers, patents, and journal articles. Additionally, she actively participates.

All IGI Global Scientific Publishing content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global Scientific Publishing published content is available in the IGI Global Scientific Publishing InfoSci® platform.

We are committed to continually improving our platform to meet WCAG standards. We have used automated scans as well as manual review to identify and resolve compatibility issues. Our goal is to ensure all of our content is easily accessible to all users.

Current Accessibility Implementations
Screen reader compatible web pages with properly labeled elements.
Text alternatives for non-text content so it can be changed into large print, braille, speech, symbols, or simpler language.
User interface can be navigated using only a keyboard - no keyboard traps.
Consistent navigation on all web pages.
Meaningful section heading are used to organize content in a logical manner.
Logical focus order of elements on each web page.
No web pages contain any flashing, or design elements that are known to cause seizures or physical reactions.
Text has high contrast, with a contrast ratio of at least 4.5:1.
Responsive design, with text that can be resized without loss of content or functionality.

Learn More

Related Books