Advancing the Investigation and Treatment of Sleep Disorders Using AI

Advancing the Investigation and Treatment of Sleep Disorders Using AI

Indexed In: SCOPUS
Release Date: June, 2021|Copyright: © 2021 |Pages: 290
DOI: 10.4018/978-1-7998-8018-9
ISBN13: 9781799880189|ISBN10: 1799880184|EISBN13: 9781799880196
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Description & Coverage
Description:

There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders.

Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.

Coverage:

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

  • Arrhythmia Detection
  • Artificial Intelligence
  • Augmented Reality
  • Biomedical Signal Processing
  • Electrocardiogram
  • Electroencephalogram
  • Electrooculogram
  • Epileptic Seizure Detection
  • Machine Learning
  • Medical Signal Processing
  • Sleep Apnea
Reviews & Statements

The book titled Advancing the Investigation and Treatment of Sleep Disorders Using AI introduces different sleep disorders that are being studied using artificial intelligence, mostly, machine learning techniques. This introduction provides information about the different approaches, latest advancements, future research that is needed or the configuration of the models/algorithms to improve the quality of life of the patients that suffer them.

– Mercedes Barrachina, Universidad Politécnica Madrid
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Editor/Author Biographies

M. Rajesh Kumar (Senior Member, IEEE and Chartered Engineer of IET, U.K) received the B.E. degree in electronics and communication engineering from the University of Madras, Chennai, India, in 2000, the M.E. degree in electrical drives and embedded control from the College of Engineering Guindy, Anna University, Chennai, in 2005, and the M.B.A. degree in systems from Alagappa University, Karaikudi, India, in 2008. Mr. Muthu received the Research Scholarships Award for his Ph.D. degree, Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K., from 2010 to 2013. He was a Senior Research Assistant with the Department of Mathematics and Information Science, Northumbria University; Newcastle upon Tyne, U.K.. He received an e-COST Grant 2013 to participate in the 10th edition of the International Summer School on Biometrics, Alghero, Italy. He was awarded the VIT University SEED Grant 2019. He received a grant from the Royal Academy of Engineering, U.K. for his collaborative research project between U.K., from 2021 to 2023, and India. Mr. Muthu a Visiting Research Fellow at Glasgow Caledonian University, Glasgow, Scotland. Since 2000, he has been in teaching and research in India and U.K. At present, he is working as an Associate Professor at VIT University, Vellore, India. He has published appreciable number of papers in referred International journals and IEEE conferences and book chapters. His research group includes speech processing, biomedical signal, acoustic signal, image security, data analytic, perceptual hashing, pattern recognition, machine intelligence, and optimization technique.

Ranjeet Kumar is currently working as an assistant professor (Senior Grade) at the School of Electronics Engineering (SENSE), VIT University, Chennai Campus, Chennai, India. He is completed a Ph.D. in the domain of signal processing under the Electronics and Communication Engineering discipline in the year 2016 form PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India. His field of research is signal and image processing, biomedical signal processing, etc. In this domain, he has published more than 30 research papers in reputed journals and conference proceedings. He also published several book chapters in the reputed book series. He has experience of 8 years in the field of research, teaching and learning. He is also an active member of a professional body and societies with IEEE, IAENG.

D. Vaithiyanathan is currently working as Assistant Professor in the Department of Electronics and Communication Engineering, National Institute of Technology Delhi, India. From 2010 to 2017, he held the position of Teaching Fellow in the Department of Electronics and Communication Engineering, College of Engineering Guindy, Anna University, Chennai. He received his B.E in Electronics and Communication Engineering from University of Madras and M.E in Applied Electronics from Government College of Technology Coimbatore and Ph.D from Department of Electronics and Communication Engineering, College of Engineering Guindy, Anna University, Chennai. His research interest includes Low Power Circuit Design, Memory Design, Embedded System and VLSI Architecture for Digital Signal and Image Processing.

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