Full Description
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.
Contents
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
