Bioengineering and IoT

Shaping the Future of Healthcare
Herausgeber: Kathole, Atul; Katti, Jayashree; Le, Dac-Nhuong

• Gebundenes Buch

Produktbeschreibung

This book provides a unique blend of interdisciplinary information to help readers grasp how bioengineering and Internet of Things (IoT) technologies are transforming healthcare. Bioengineering and IoT: Shaping the Future of Healthcare examines how the combination of bioengineering and the IoT is revolutionizing healthcare and delves into the groundbreaking junction of these fields. The book explores healthcare automation to streamline and improve various aspects of healthcare delivery, administration, and management. The authors examine several key aspects and benefits of healthcare automation in relation to electronic health records (EHRs)/pharmacy automation/telemedicine and remote monitoring. The book examines rehabilitation through the IoT and the integration of smart devices and technologies to enhance the effectiveness of rehabilitation programs, monitor patients' progress, and provide personalized care. They also explore how healthcare IoT and blockchain technology hold great promise for addressing key challenges in the healthcare industry, including data security, interoperability, and patient privacy. This book is intended for healthcare, IoT and technology professionals, researchers, students, and enthusiasts. It will be essential for anyone exploring the intriguing junction of bioengineering and IoT in healthcare's future.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 230
• Erscheinungstermin: 22. Januar 2026
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781032903156
• ISBN-10: 1032903155
• Artikelnr.: 75127028

Autorenporträt

Dr. Jayashree Katti is a Professor and Head of the Department of Information Technology at Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. Her areas of interest include cryptography, visual cryptography, algebraic cryptanalysis, implicant theory, parallel computing, and augmented and virtual reality. Dr. Atul Kathole is an Assistant Professor in Pimpri Chinchwad College of Engineering, Pune. He has completed his education in computer science and engineering. His areas of interest include ML, IoT, networking, and embedded systems. Dr. Dac-Nhuong Le has an M.Sc. and Ph.D. in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. He is an Associate Professor in Computer Science, Deputy Head of Faculty of Information Technology, Haiphong University, Vietnam. His areas of research include soft computing, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedical.

Inhaltsangabe

Chapter 1 Automated Waste Management System: A Deep Learning Approach
Chapter 2 Challenges and Key Issues in IoT Privacy and Security Chapter 3
Recent Advances in Neuromuscular Sciences in Sports Chapter 4 Wearable
Devices, Internet of Things for Evaluation of Movement in Neck Pain
Patients Chapter 5 Smart Nutrition: Leveraging IoT and AI for Real-Time,
Personalized Dietary Management Chapter 6 Culturally Rooted and AI-Enhanced
Cryptographic Key Generation for Secure IoT Systems: A
KaTaPaYadi-N-Gram-RNN Hybrid Framework Chapter 7 IoT-Enabled Smart Boat for
Enhanced Pond Fishing Chapter 8 Comprehensive Health Forecasting and Care
Solutions Using Predictive Analytics and AI Techniques Chapter 9 Remote
Health Surveillance (RHS) Chapter 10 Enhancing Patient Care through the Use
of Machine Learning-Powered Internet of Things (IoT) Solutions in the
Healthcare Industry Chapter 11 Implementing IoT for Dispensing Sanitary
Napkins Using Digital Payment Chapter 12 Artificial Intelligence Empowered
Internet of Nanorobotics for Medical Systems Chapter 13 Deep Learning
Approach to Detecting Diabetes Mellitus: Addressing the Problem of Data
Accessibility and Quality Chapter 14 Wearables, Internet of Things on
Evaluation of Movement in Neck Pain Patients Chapter 15 Detection of Brain
Tumors in 3D MRI through Intelligent Segmentation using DPSO and FODPSO
Algorithms Chapter 16 Machine Learning-Enabled Smart Health Monitoring for
Predictive Analytics