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Smart Electronic Devices and Systems for Biomedical and Healthcare Applications -

Smart Electronic Devices and Systems for Biomedical and Healthcare Applications

Buch | Hardcover
326 Seiten
2025
Apple Academic Press Inc. (Verlag)
978-1-77491-816-6 (ISBN)
CHF 296,75 inkl. MwSt
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Explores the development of smart bioelectronics and biomedical devices using advanced information technology. Considers the integration of smart technologies in healthcare, employing big data analytics, the Internet of Things, machine learning, and other technologies for predictive modeling, etc., for medical diagnosis and treatment.
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.

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.

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.

Erscheinungsdatum
Zusatzinfo 37 Tables, black and white; 9 Line drawings, color; 62 Line drawings, black and white; 4 Halftones, color; 14 Halftones, black and white; 13 Illustrations, color; 76 Illustrations, black and white
Verlagsort Oakville
Sprache englisch
Maße 156 x 234 mm
Gewicht 790 g
Themenwelt Medizin / Pharmazie Medizinische Fachgebiete Radiologie / Bildgebende Verfahren
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Elektrotechnik / Energietechnik
Technik Medizintechnik
ISBN-10 1-77491-816-1 / 1774918161
ISBN-13 978-1-77491-816-6 / 9781774918166
Zustand Neuware
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