Pervasive Healthcare Computing

Pervasive Healthcare Computing

Author: Upkar Varshney

Publisher: Springer Science & Business Media

Published: 2009-04-21

Total Pages: 285

ISBN-13: 1441902155

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Pervasive healthcare is the conceptual system of providing healthcare to anyone, at anytime, and anywhere by removing restraints of time and location while increasing both the coverage and the quality of healthcare. Pervasive Healthcare Computing is at the forefront of this research, and presents the ways in which mobile and wireless technologies can be used to implement the vision of pervasive healthcare. This vision includes prevention, healthcare maintenance and checkups; short-term monitoring (home healthcare), long-term monitoring (nursing home), and personalized healthcare monitoring; and incidence detection and management, emergency intervention, transportation and treatment. The pervasive healthcare applications include intelligent emergency management system, pervasive healthcare data access, and ubiquitous mobile telemedicine. Pervasive Healthcare Computing includes the treatment of several new wireless technologies and the ways in which they will implement the vision of pervasive healthcare.


Pervasive Computing in Healthcare

Pervasive Computing in Healthcare

Author: Alex Mihailidis

Publisher: CRC Press

Published: 2006-11-16

Total Pages: 336

ISBN-13: 1420005332

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With skyrocketing costs due to the increase in the elderly population, a rapid increase in lifestyle-related and chronic diseases, demand for new medical treatments and technologies, and a shortage in the number of available clinicians, nurses, and other caregivers, the challenges facing the healthcare industry seem insurmountable. However, by tra


Intelligent Pervasive Computing Systems for Smarter Healthcare

Intelligent Pervasive Computing Systems for Smarter Healthcare

Author: Arun Kumar Sangaiah

Publisher: John Wiley & Sons

Published: 2019-06-21

Total Pages: 432

ISBN-13: 1119439019

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A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors Intelligent Pervasive Computing Systems for Smarter Healthcare describes the innovations in healthcare made possible by computing through bio-sensors. The pervasive computing paradigm offers tremendous advantages in diversified areas of healthcare research and technology. The authors—noted experts in the field—provide the state-of-the-art intelligence paradigm that enables optimization of medical assessment for a healthy, authentic, safer, and more productive environment. Today’s computers are integrated through bio-sensors and generate a huge amount of information that can enhance our ability to process enormous bio-informatics data that can be transformed into meaningful medical knowledge and help with diagnosis, monitoring and tracking health issues, clinical decision making, early detection of infectious disease prevention, and rapid analysis of health hazards. The text examines a wealth of topics such as the design and development of pervasive healthcare technologies, data modeling and information management, wearable biosensors and their systems, and more. This important resource: Explores the recent trends and developments in computing through bio-sensors and its technological applications Contains a review of biosensors and sensor systems and networks for mobile health monitoring Offers an opportunity for readers to examine the concepts and future outlook of intelligence on healthcare systems incorporating biosensor applications Includes information on privacy and security issues on wireless body area network for remote healthcare monitoring Written for scientists and application developers and professionals in related fields, Intelligent Pervasive Computing Systems for Smarter Healthcare is a guide to the most recent developments in intelligent computer systems that are applicable to the healthcare industry.


Pervasive and Mobile Sensing and Computing for Healthcare

Pervasive and Mobile Sensing and Computing for Healthcare

Author: Subhas Mukhopadhyay

Publisher: Springer Science & Business Media

Published: 2012-09-14

Total Pages: 368

ISBN-13: 3642325378

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The pervasive healthcare system focus towards achieving two specific goals: the availability of eHealth applications and medical information anywhere and anytime and the invisibility of computing. Furthermore, pervasive health system encompasses new types of sensing and communication of health information as well as new type of interactions among health providers and people, among patients, among patients and researchers and patients and corporations. This book aims at promoting the discussion on current trends in technologies and concepts that help integrate health monitoring and healthcare more seamlessly to our everyday lives, regardless of space and time, but also present cutting edge perspectives and visions to highlight future development. The book presents not only the state of the art technologies and solutions to tackle the critical challenges faced by the building and development of the pervasive health system but also potential impact on society at social, medical and technological level.


Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Author: Deepak Gupta

Publisher: John Wiley & Sons

Published: 2021-01-07

Total Pages: 464

ISBN-13: 1119670071

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A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applications With the rapid development in artificially intelligent and hybrid technologies, IoT, edge, fog-driven, and pervasive computing techniques are becoming important parts of our daily lives. This book focuses on recent advances, roles, and benefits of these technologies, describing the latest intelligent systems from a practical point of view. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications is also valuable for engineers and professionals trying to solve practical, economic, or technical problems. With a uniquely practical approach spanning multiple fields of interest, contributors cover theory, applications, and design methodologies for intelligent systems. These technologies are rapidly transforming engineering, industry, and agriculture by enabling real-time processing of data via computational, resource-oriented metaheuristics and machine learning algorithms. As edge/fog computing and associated technologies are implemented far and wide, we are now able to solve previously intractable problems. With chapters contributed by experts in the field, this book: Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computing Considers probabilistic storage systems and proven optimization techniques for intelligent IoT Covers 5G edge network slicing and virtual network systems that utilize new networking capacity Explores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applications Presents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and more Researchers, graduate students, and practitioners working in the intelligent systems domain will appreciate this book’s practical orientation and comprehensive coverage. Intelligent IoT is revolutionizing every industry and field today, and Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications provides the background, orientation, and inspiration needed to begin.


Pervasive Computing Paradigms for Mental Health

Pervasive Computing Paradigms for Mental Health

Author: Pietro Cipresso

Publisher: Springer

Published: 2018-10-10

Total Pages: 171

ISBN-13: 3030010937

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This book constitutes the refereed proceedings of the 7th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2018, held in Boston, MA, USA, Jin January 2018. The 19 papers presented were carefully reviewed and selected from 30 submissions and present advanced computing and communication technologies from the use of wearable sensors and ecological virtual environments to use of big data and machine learning techniques. These technologies can be used to support and promote the well-being through an objective continuous data collection and personalized


Pervasive Computing Paradigms for Mental Health

Pervasive Computing Paradigms for Mental Health

Author: Pietro Cipresso

Publisher: Springer

Published: 2019-07-10

Total Pages: 288

ISBN-13: 3030258726

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This book constitutes the refereed proceedings of the 9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019, held in Buenos Aires, Argentina, in April 2019. The 22 papers presented were carefully reviewed and selected from 38 submissions and present new paradigms in mental healthcare, in parallel with compelling questions about how it is possible to promote and structure these changes to improve physical well-being.


Pervasive Healthcare

Pervasive Healthcare

Author: Mohammad Shahid Husain

Publisher: Springer Nature

Published: 2021-11-15

Total Pages: 382

ISBN-13: 3030777464

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This book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers.


Pervasive Computing Technologies for Healthcare

Pervasive Computing Technologies for Healthcare

Author: Hadas Lewy

Publisher: Springer Nature

Published: 2022-03-22

Total Pages: 574

ISBN-13: 3030991946

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This book constitutes the refereed proceedings of the 15th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 full and 7 short papers were selected from 74 submissions and are organized in 3 main tracks: hospitality and community care, homecare and medical education. The COVID 19 pandemic was challenging all dimensions of Pervasive Health (PH) and traditional ways of monitoring, diagnosing, treating and communicating changed dramatically.


Cloud Computing Systems and Applications in Healthcare

Cloud Computing Systems and Applications in Healthcare

Author: Bhatt, Chintan M.

Publisher: IGI Global

Published: 2016-08-30

Total Pages: 303

ISBN-13: 1522510036

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The implementation of cloud technologies in healthcare is paving the way to more effective patient care and management for medical professionals around the world. As more facilities start to integrate cloud computing into their healthcare systems, it is imperative to examine the emergent trends and innovations in the field. Cloud Computing Systems and Applications in Healthcare features innovative research on the impact that cloud technology has on patient care, disease management, and the efficiency of various medical systems. Highlighting the challenges and difficulties in implementing cloud technology into the healthcare field, this publication is a critical reference source for academicians, technology designers, engineers, professionals, analysts, and graduate students.