Biomedical Engineering/Nanotechnology

Computational Health Informatics for Biomedical Applications
Editors: Aryan Chaudhary
Sardar M. N. Islam (Naz), PhD

Computational Health Informatics for Biomedical Applications

Published. Available now.
Pub Date: June 2023
Hardback Price: see ordering info
Hard ISBN: 9781774912539
E-Book ISBN: 9781003331681
Pages: 364 w/ index
Binding Type: Hardback/ e-book
Notes: 8 color and 104 b/w illustrations

The explosion of technology in healthcare in recent years has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things (IoMT) have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores computational tactics as applied to the development of biomedical applications, using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book aims to provide a solid framework to provide the modern class of medical gearheads with information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.

The volume provides an overview of the advancements in modern technology for diagnosing major life-threatening diseases, including using photonic MEMS sensors, biomedical signal processing, 1D photonic crystal-based distributed Bragg reflectors (DBRs), and biosensor chips used to detect foreign bodies, such as cancer cells, or infected stages of blood cells for quick medical diagnosis.

The book discusses employing predictive analysis using AI, ML, and DL for tracking diseases, predicting their progress, and designing tactics as applied to heart disease, coronavirus, and many other ailments. It looks at various machine learning methods, grouping and association rules, vector machine assistance, and evolutionary algorithms. Also discussed is the evolution and implementation of information and communication technologies in healthcare delivery, which hold enormous promise for patients, providers, and payers in future healthcare systems. Other topics include using drones in health centers, such as for drug distribution and other purposes; using powerful artificial intelligence algorithms that can reveal clinically significant information hidden in vast amounts of data; and more.

Computational Health Informatics for Biomedical Applications explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It will be a valuable resource for those at the forefront of designing and employing advanced smart technologies for improved healthcare services.

CONTENTS:
Foreword by Diganta Sengupta

Preface

1. IoT-Based Healthcare Systems and Their Security Concerns
Mohit Angurala, Manju Bala, and Prabhdeep Singh

2. Distributed Bragg Reflector Biosensor for Medical Applications
Ranjith B Gowda and Preeta Sharan

3. Photonic MEMS Sensor for Biomedical Applications
Anup M. Upadhyaya and Preeta Sharan

4. Chaotic and Nonlinear Features as EEG Biomarkers for the Diagnosis of Neuropathologies
Jisu Elsa Jacob

5. Application of Artificial Intelligence and Deep Learning in Healthcare
Raman Chadha and Rohit Kumar Verma

6. Heart Disease Prediction Desktop Application Using Supervised Learning
V. Pattabiraman and R. Maheswari

7. Coronavirus Outbreak Prediction Analysis and Corona Virus Detection Through X-Ray Using Machine Learning
Suvarna Pawar, Pravin Futane, Nilesh Uke, Rasika Bhise, Priyanka Mandal, Tejas Khopade, and Tejas Rasane

8. Numerical Analysis of Bioheat Transfer in Thermal Medicine
N. Manjunath

9. Evolution of Artificial Intelligence and Deep Learning in Health Care
Keshav Kaushik

10. Medication Extender Drone Using CoppeliaSim
Faerie Mattins R., Pavitra Vasudevan, Srivarshan S., Maheswari R., and Venusamy Kanagraj

11. Big Data and Visualization-Oriented Latency-Aware Smart Health Architecture
Gugu Prasad M. S., Prabhdeep Singh, and Mohit Angurala

12. Signal Processing in Biomedical Applications in Present and Future Development

Raman Chadha and Rohit Kumar Verma

13. Emerging Trends in Healthcare and Drug Development
Chinju John, Akarsh K Nair, and Jayakrushna Sahoo

14. Future Directions in Healthcare Research
Kirandeep Singh, Prabhdeep Singh, and Mohit Angurala

Index


About the Authors / Editors:
Editors: Aryan Chaudhary
Chief Scientific Advisor, BioTech Sphere Research, India

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. He continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of work. He has authored several influential academic papers on public health and digital health, published in prestigious international journals. His research primarily focuses on integrating IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise and leadership, he is not only a keynote speaker at numerous international and national conferences but also serves as a series editor of a CRC book series and is the editor of several books on biomedical science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest editor for special issues in renowned journals. Recognized for his significant contributions, he has received prestigious accolades, including the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership. Moreover, he holds senior memberships in various international science associations, reflecting his influence and impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor for a special issue in the highly regarded journal, EAI Endorsed Transactions on AI and Robotics, and he has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a respected professional member of the Association for Computing Machinery (ACM). He has been recently elected as Chair for an ACM professional chapter.

Sardar M. N. Islam (Naz), PhD
Professor, Institute for Sustainable Industries & Liveable Cities; Lead, Decision Sciences and Modelling Program, Victoria University, Australia

Sardar M. N. Islam (Naz), PhD, is currently a Professor at the Institute for Sustainable Industries & Liveable Cities and Lead of the Decision Sciences and Modelling Program at Victoria University, Australia. He is also a Distinguished Visiting Professor of Artificial Intelligence at Sriwijaya University (UnSri), Indonesia, and a Distinguished Visiting Professor (2019–2021) at American University of Ras Al Khaimah (AURAK), United Arab of Emirates. His academic work has gained international acclaim resulting in many honors and awards, visiting and adjunct professorial appointments in different countries, appointments in editorial roles of journals, as a keynote speaker at international conferences in several countries. He has published over 31 scholarly authored academic books in different disciplines; each of these books makes significant scientific contributions to the literature. He has also published about 250 articles, including some in the top leading international journal articles in his specialized research areas.




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