Internet of Things for Healthcare Technologies

✍ Scribed by Chinmay Chakraborty, Amit Banerjee, Maheshkumar H. Kolekar, Lalit Garg, Basabi Chakraborty

• Publisher: Springer Singapore;Springer
• Year: 2021
• Tongue: English
• Leaves: 332
• Series: Studies in Big Data 73
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

✦ Table of Contents

Front Matter ....Pages i-xv
IoT in Smart Healthcare System (S. Ananda Kumar, G. Mahesh)....Pages 1-19
IoT-Based Diseases Prediction and Diagnosis System for Healthcare (Iman Raeesi Vanani, Morteza Amirhosseini)....Pages 21-48
A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems (Reinaldo Padilha França, Yuzo Iano, Ana Carolina Borges Monteiro, Rangel Arthur)....Pages 49-70
Investigating Correlation of Tension-Type Headache and Diabetes: IoT Perspective in Health care (Rohit Rastogi, Parul Singhal, Devendra Kumar Chaturvedi, Mayank Gupta)....Pages 71-91
Machine Learning Applications for a Real-Time Monitoring of Arrhythmia Patients Using IoT (Rajendran Sree Ranjani)....Pages 93-107
Human Heart Arrhythmia Identification Using ECG Signals: An Approach Towards Biomedical Signal Processing (Ravina Dnyaneshwar Edake)....Pages 109-135
Deep Learning and Its Applications in Medical Imaging (Farzaneh Mansouri Musolu, Saeid Sadeghi Darvazeh, Iman Raeesi Vanani)....Pages 137-153
Brain Tumor Classification Using Deep Learning (Vishal K. Waghmare, Maheshkumar H. Kolekar)....Pages 155-175
Early Detection of Dementia Disease Using Data Mining Techniques (M. Sucharitha, Chinmay Chakraborty, S. Srinivasa Rao, V. S. K. Reddy)....Pages 177-194
Social, Medical, and Educational Applications of IoT to Assist Visually Impaired People (Soham Sharma, M. Umme Salma)....Pages 195-214
Design of an Embedded System for Remote Monitoring of Malnutrition for People Living in Rural Areas (Bikash Dey)....Pages 215-246
A Review on Security and Privacy Concern in IoT Health Care (Joy Chatterjee, Manab Kumar Das, Sayon Ghosh, Atanu Das, Rajib Bag)....Pages 247-271
Applications of Internet of Things in Medical Area (Mamata Rath)....Pages 273-292
Bigdata in the Management of Diabetes Mellitus Treatment (Dhanaraj Rajesh Kumar, K. Rajkumar, K. Lalitha, V. Dhanakoti)....Pages 293-324

✦ Subjects

Engineering; Computational Intelligence; Big Data; Health Informatics