Wearable Technologies for Digital Medicine

Advancement, Models, and Applications
1. Auflage 2026
ISBN: 978-1-394-27114-6
Verlag: Wiley

Buch, Englisch, 416 Seiten, Format (B × H): 155 mm x 231 mm, Gewicht: 680 g

Equip yourself with the multidisciplinary expertise to lead the digital medicine revolution with this comprehensive guide to the cutting-edge intersection of wearable technology, data science, and clinical care.

The rapid evolution of digital technology has transformed nearly every aspect of human life from communication and entertainment to healthcare and medicine. Among these advancements, smart wearables have emerged as a vital element of modern digital medicine, redefining how we monitor, diagnose, and manage health conditions. This book explores the dynamic intersection of wearable technology and medical science, providing an in-depth understanding of how these devices are revolutionizing healthcare delivery, patient monitoring, and disease management. By bridging engineering, data science, and clinical applications, it serves as a comprehensive resource for researchers, healthcare professionals, technology developers, and students interested in digital medicine.

Readers will find the volume:

- Emphasizes the importance of wearable-enabled e-medicine to create a smart and intelligent healthcare network;
- Introduces advanced architectural frameworks of digital healthcare and clinical systems;
- Provides diversified applications and case studies on smart wearable-enabled personalized healthcare services;
- Explores futuristic enhancements and challenges of different technologies in the context of wearable computing supported by e-medicine;
- Highlights techniques and methodologies related to emergency healthcare and improved customized patient care.

Audience

Academics, engineers, medical professionals, research scientists, hospital administrators, and industry professionals looking to innovate the future of personalized healthcare.

Autoren/Hrsg.

Mishra, Sushruta

Das, Subhashish

Balamurugan, S.

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik

Inhaltsverzeichnis

Preface xix
Acknowledgement xxiii

Part 1: Introduction to Wearables in Healthcare 1

1 Wearable Machine Intelligence Devices: A Comprehensive Analysis of Current Applications and Future Directions in Context to Healthcare 3
Rohit Raj Pradhan

2 Feasibility Scope of Artificial Intelligence in Advanced Sensory Wearables 31
Sanjana Panigrahi and Vaishnavi Rani

Part 2: Applications of Smart Wearables in Clinical Domain 63

3 Addressing the Integration of Wearable Devices in Chronic Disease Management 65
Aman Arpit and Rithwik Kumar Sahu

4 From Sensors to Sentiments: An NLP-Powered Exploration of Clinical Data 93
Riya Singh, Tanmay Pandey and Fariya Afrin

5 Emergence of Social Media Analysis in Personalized Healthcare 115
Pranav Kumar and Anchal Sahoo

6 Pragmatic Analysis of Brain Tumor Using Deep Learning Approach 135
Sunil Kumar Mohapatra

7 Recent Advancements in Generative Artificial Intelligence in Clinical Space 153
Oindrella Chatterjee

8 Significance of Telemedicine in Improving Mental Health in Rural Areas 179
Biswojit Panda and Arup Ranjan Dalai

Part 3: Advanced Technologies of Smart Clinical Wearables 207

9 Automated Surgery: Innovations and Development of Robotics 209
Gargi Sansanwal, Rishabh Raj Srivastava and Bidisha Biswarupa Muduli

10 Malware and e-Medicine: A Comparative Analysis and Risk Exploration 233
Pratyusa Mukherjee, Lopamudra Dalai and Shivansh Mani Tripathi

11 Prediction of Mental Health Issues Among Working Professionals Using Intelligent Models and Ensemble Classifiers 267
Tridiv Swain

12 Critical Representation of Smart and Distributed Modeling for Disease Risk Analysis 319
Gargi Sansanwal and Sanjolee Singh

13 Predicting Autism: A Deep Learning Approach with CNN-LSTM 341
Soumyendu Das and Soham Patra

14 Dominance of Ambience Intelligence in Clinical Zone 355
Lambodar Jena and Baidehi Jena

References 373
Index 375

Über Autor(innen)

Sushruta Mishra, PhD is an Assistant Professor in the School of Computer Engineering at the Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India, with more than 11 years of experience. He has published more than 130 research articles in reputed international journals and conferences. His research interests include image processing, machine learning, Internet of Things, and cognitive computing.

Subhashish Das, PhD is an Assistant Professor in the School of Computer Engineering at the Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India, with more than 21 years of experience. He has ten publications to his credit in international journals and conferences. His research interests include wireless sensor networks, distributed computing, and operating systems.

S. Balamurugan, PhD is the Director of Intelligent Research Consultancy Services, Coimbatore, Tamil Nadu, India. He has published more than 60 books, 300 articles in national and international journals and conferences, and 200 patents. He is the series editor for several book series and serves in various editorial capacities for several international journals.