Pervasive Computing Technologies for Healthcare: 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, … and Telecommunications Engineering, 488)
By Athanasios Tsanas, Andreas Triantafyllidis
This book constitutes the refereed proceedings of the 16th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2022, which took place in Thessaloniki, Greece, in December 2022.The 45 full papers included in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in the following topical sections: personal informatics and wearable devices; computer vision; IoT-HR: Internet of things in health research; pervasive health for COVID-19; machine learning, human activity recognition and speech recognition; software frameworks and interoperability; facial recognition, gesture recognition and object detection; machine learning, predictive models and personalised healthcare; human-centred design of pervasive health solutions; personalized healthcare.
Are you interested in the latest developments in healthcare technology and how it is transforming the industry? Look no further than the book “Pervasive Computing Technologies for Healthcare”. Authored by Athanasios Tsanas and Andreas Triantafyllidis, this comprehensive guide provides insights into the innovative technologies that are revolutionizing healthcare and improving patient outcomes.
Introduction
In today’s digital age, technology has become an integral part of our lives, and its impact on healthcare is no exception. Pervasive computing technologies, such as wearable devices, computer vision, and the Internet of Things, have opened up new possibilities for monitoring and managing healthcare conditions remotely and in real-time.
The book begins by introducing the concept of pervasive computing and its application in healthcare. It explores how personal informatics and wearable devices can empower individuals to take control of their health and make informed decisions about their well-being. The authors delve into the world of computer vision and its role in healthcare, discussing how it can be used for gesture recognition, facial recognition, and object detection.
One of the key focuses of the book is the Internet of Things (IoT) and its potential in health research. The authors discuss various examples of IoT applications in healthcare, such as smart homes for the elderly, remote monitoring of vital signs, and real-time tracking of medication adherence. They also explore how IoT can be leveraged for research purposes, enabling large-scale data collection and analysis.
Given the ongoing global pandemic, the book includes a dedicated section on pervasive health for COVID-19. It discusses the role of technology in detecting and monitoring COVID-19, tracking the spread of the virus, and ensuring the safety of healthcare providers.
Review
Overall, “Pervasive Computing Technologies for Healthcare” offers a comprehensive overview of the latest advancements in healthcare technology. The book is well-organized, with each chapter focusing on a specific topic and providing in-depth explanations and real-world examples.
One of the strengths of the book is its emphasis on practical applications of pervasive computing technologies. The authors provide detailed case studies and examples, illustrating how these technologies have been successfully implemented in healthcare settings. This makes the book highly relevant and valuable for healthcare professionals, researchers, and technology enthusiasts alike.
The inclusion of a section on COVID-19 is particularly timely and underscores the importance of leveraging technology to address public health crises. The authors provide insights into the various ways technology can be used to combat the pandemic, from contact tracing and remote patient monitoring to telemedicine and virtual care.
Another noteworthy aspect of the book is its exploration of machine learning and its applications in healthcare. The authors discuss how machine learning algorithms can be used to recognize human activity, analyze speech patterns, and predict healthcare outcomes. This opens up exciting possibilities for personalized healthcare and improving the accuracy of diagnosis and treatment.
Order Now
If you are interested in staying up-to-date with the latest developments in healthcare technology, “Pervasive Computing Technologies for Healthcare” is a must-read. This book will equip you with the knowledge and insights needed to navigate the rapidly evolving landscape of healthcare technology.
Order your copy today and join the ranks of healthcare professionals, researchers, and technology enthusiasts who are embracing the power of pervasive computing technologies to revolutionize healthcare.
Product Details:
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Publisher:
Springer; 1st ed. 2023 edition (June 11, 2023)
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Language:
English
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eBook Digital:
717 pages
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ISBN-10:
3031345851
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ISBN-13:
978-3031345852
Product Details
- Publisher : Springer; 1st ed. 2023 edition (June 11, 2023)
- Language : English
- : 717 pages
- ISBN-10 : 3031345851
- ISBN-13 : 978-3031345852