Internet of Things for Healthcare Technologies

Internet of Things for Healthcare Technologies
  • eBook:
    Internet of Things for Healthcare Technologies
  • Author:
    Chinmay Chakraborty, Amit Banerjee, Maheshkumar H. Kolekar, Lalit Garg, Basabi Chakraborty
  • Edition:
    1st ed. 2020 edition
  • Categories:
  • Data:
    July 18, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    453 pages
  • Format:

Book Description
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.


1. IoT in Smart Healthcare System
2. IoT-Based Diseases Prediction and Diagnosis System for Healthcare
3. A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems
4. Investigating Correlation of Tension-Type Headache and Diabetes: IoT Perspective in Health care
5. Machine Learning Applications for a Real-Time Monitoring of Arrhythmia Patients Using IoT
6. Human Heart Arrhythmia Identification Using ECG Signals: An Approach Towards Biomedical Signal Processing
7. Deep Learning and Its Applications in Medical Imaging
8. Brain Tumor Classification Using Deep Learning
9. Early Detection of Dementia Disease Using Data Mining Techniques
10. Social, Medical, and Educational Applications of IoT to Assist Visually Impaired People
11. Design of an Embedded System for Remote Monitoring of Malnutrition for People Living in Rural Areas
12. A Review on Security and Privacy Concern in IoT Health Care
13. Applications of Internet of Things in Medical Area
14. Bigdata in the Management of Diabetes Mellitus Treatment

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