Smart Electronic Devices and Systems for Biomedical and Healthcare Applications (eBook, PDF)

Redaktion: Kumar, Upendra; Keservani, Raj K.; Kesharwani, Rajesh K.

• Format: PDF

Produktbeschreibung

This new book explores the development of smart bioelectronics and biomedical devices using advanced information technology, which has significantly revolutionized biomedical engineering and healthcare, enabling a variety of applications in advanced clinical medicine, surgery, and implants. The book considers the integration of AI, big data analytics, the Internet of Things, machine learning, cloud storage, and other technologies for predictive modeling, information analysis, etc., for medical diagnosis and treatment. It covers areas such as medical image retrieval, machine learning for diagnosis, biomedical applications based on mobile phone cell network systems, and much more.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 342
• Erscheinungstermin: 25. November 2025
• Englisch
• ISBN-13: 9781040254059
• Artikelnr.: 75541325

Autorenporträt

Upendra Kumar, PhD, is an Assistant Professor of Computer Science and Engineering at the Institute of Engineering and Technology, Dr. A. P. J. Abdul Kalam Technical University, India. He has several years of industrial experience working on corporate projects as a JAVA/J2EE developer as well as over 10 years of teaching and research experience. He has published many papers as well as books and book chapters; delivered expert lectures at international and national conferences, workshops, and seminars; and is a member of review committees of journals, conferences and professional bodies. Rajesh K. Kesharwani, PhD, is an Associate Professor of Computer Application, Nehru Gram Bharati, India. Dr. Kesharwani has authored articles, book chapters, and edited books with international publishers and is co-editor of the book series AAP Advances in Nutraceuticals. A member of many scientific communities as well as a reviewer for international journals, he has presented papers at national and international conferences and has received awards for his work. His research focuses on medical informatics, protein structure and function prediction, computer-aided drug designing, drug delivery, cancer biology, nanobiotechnology, and biomedical sciences. Raj K. Keservani, PhD, is an Associate Professor of Pharmacy at CSM Group of Institutions, India. With over 12 years of academic experience, he has supervised students for their research work; has published many books (authored and edited), book chapters, and papers in national and international journals; and acted as a reviewer for several international scientific journals. He is a co-editor of the book series AAP Advances in Nutraceuticals. His work revolves around nutraceutical and functional foods, novel drug delivery systems, transdermal drug delivery/drug delivery, health science, cancer biology, and neurobiology.

Inhaltsangabe

1. The Role of Big Data Analytics and IoT in the Healthcare Domain. 2.
Machine Learning Techniques Used for Biomedical and Healthcare Systems. 3.
Study of ML-Enabled Big Data Analysis for IoT-Based Smart Medico Systems.
4. Predictive Modeling of Vector-Borne Diseases and Their Pathogens Using
Artificial Intelligence. 5. Machine Learning with Cloud-IoT in a Health
Prediction System. 6. Implementation of Compact Dual-Band Printed Antenna
for Biomedical Applications. 7. Biomedical Applications Based on Mobile
Phone Cell Network Systems. 8. Intelligent Visual to Textual Mapping in
Automatic Medical Diagnosis and Treatment. 9. Design and Analysis of OTA-OC
CMOS Filter for Recording High Focal Oscillations-EEG Application. 10. A
Flow-Induced Piezoelectric Vibration Energy Harvester (PVEH) with Magnetic
Force Enhancement in Biomedical and mHealth. 11. Analysis of Integrated
Intelligent Methods Toward Medical Decision-Making. 12. Image Description
Based Medical Image Retrieval. 13. Deep Learning, Extreme Machine Learning,
and Kernel-Based ELM for the Diagnosis of Alzheimer's Disease.