AI-Enabled Smart Healthcare Using Biomedical Signals
Language: English
Published by IGI Global, 2022
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 565.18
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians. …
Seller Inventory # 9781668439470
- Title
- AI-Enabled Smart Healthcare Using Biomedical Signals
- Author
- Ram Bilas Pachori
- Publisher
- IGI Global
- Publication year
- 2022
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1668439476
- ISBN 13
- 9781668439470
- Item weight
- 1,136 grams
- Dimensions
- 286x221x23 mm
AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians.
"Synopsis" may belong to another edition of this title.
About the Author
Dheeraj Agrawal received the B. E. degree from RGTU Bhopal in 2001. He received the M.Tech. and PhD degrees from MANIT Bhopal in 2005 and 2011, respectively. He has more than 20 years of teaching experience and is currently working as Associate Professor at MANIT Bhopal. He is also working as nodal officer at Indian Institute of Information Technology Bhopal. His research area includes Machine Learning, Image processing, and Signal Processing. He has authored several research articles in aforementioned areas. He has supervised 03 PhD scholars and is currently supervising 03 PhD scholars in his area of research.
Ram Bilas Pachori received the B.E. degree with honours in ECE from RGTU, Bhopal, India in 2001, the M.Tech. and Ph.D. degrees in EE from Indian Institute of Technology (IIT) Kanpur, India in 2003 and 2008, respectively. He worked as a Postdoctoral Fellow at Charles Delaunay Institute, University of Technology of Troyes, Troyes, France during 2007-2008. He is presently working as a Professor at IIT Indore. He worked as a Visiting Scholar at Intelligent Systems Research Center, Ulster University, Northern Ireland, UK during December 2014. He is an Associate Editor of Electronics Letters, Biomedical Signal Processing and Control journal and an Editor of IETE Technical Review journal. He is a senior member of IEEE and a Fellow of IETE and IET. He has supervised 12 Ph.D., 20 M.Tech., and 37 B.Tech. students for their theses and projects.
"About the title" may belong to another edition of this title.
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