This book explores how bioengineering meets IoT to revolutionize healthcare through automation, electronic records, and smart rehabilitation. It examines how these enhance care delivery, address security via blockchain, and improve patient monitoring—essential reading for healthcare professionals and technology enthusiasts.
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.
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 KaTaPaYadiN-GramRNN 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
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.
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