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Efficient data handling for massive ...

Chakraborty, Chinmay.

Efficient data handling for massive Internet of medical thingshealthcare data analytics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Efficient data handling for massive Internet of medical thingsedited by Chinmay Chakraborty ... [et al.].
其他題名:	healthcare data analytics /
其他作者:	Chakraborty, Chinmay.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiv, 388 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Cyber-physical systems, IoT.
電子資源:	https://doi.org/10.1007/978-3-030-66633-0
ISBN:	9783030666330

Efficient data handling for massive Internet of medical thingshealthcare data analytics /
Efficient data handling for massive Internet of medical thingshealthcare data analytics /[electronic resource] :edited by Chinmay Chakraborty ... [et al.]. - Cham :Springer International Publishing :2021. - xiv, 388 p. :ill., digital ;24 cm. - Internet of things,2199-1073. - Internet of things..

Chapter 1. An Overview of the Internet of Medical Things and its Modern Perspective -- Chapter 2. Big medical data analytics under Internet of Things -- Chapter 3. Big Medical Data Analytics using Sensor Technology -- Chapter 4. Smart Healthcare Technologies for Massive Internet of Medical Things -- Chapter 5. Sensor Informatics of IoT, AR/VR, and MR in Healthcare Applications -- Chapter 6. Body Sensor Networks as emerging trends of technology in health care system: Challenges and Future -- Chapter 7. Smart sensors technologies for Healthcare system -- Chapter 8. Cloud and IoMT-based Big Data Analytics system during COVID-19 pandemic -- Chapter 9. Remote human's health and activities monitoring using wearable sensor based system- a review -- Chapter 10. A Healthcare Resource Management Optimization Framework for ECG Biomedical Sensors -- Chapter 11. Diabetes Detection and Sensor Based Continuous Glucose Monitoring - A Deep Learning Approach -- Chapter 12. 'Sensing the Mind'-An Exploratory Study About Sensors used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition -- Chapter 13. Role of Sensors, Devices and Technology for Detection of COVID-19 Virus -- Chapter 14. Implementation of Internet of Medical Things (IoMT): Clinical and Policy Implications -- Chapter 15. Applicability of Blockchain Technology in Healthcare Industry: Applications, Challenges & Solutions.

This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things. Presents a rigorous introduction to theoretical foundations and practical solutions for Internet of Medical Things; Covers data handling, intelligence and security and related issues to guide the massive data handling techniques for healthcare; Includes examples and case studies for further study for academics, researchers, and professionals.

ISBN: 9783030666330

Standard No.: 10.1007/978-3-030-66633-0doiSubjects--Topical Terms:

836359
Cyber-physical systems, IoT.

LC Class. No.: R859.7.I58

Dewey Class. No.: 610.285

Efficient data handling for massive Internet of medical thingshealthcare data analytics /
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