Intelligent Data Sensing And Processing For Health And Well Being Applications

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Intelligent Data Sensing and Processing for Health and Well-being Applications

Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco

Author : Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco
Publisher : Academic Press
Page : 313 pages
File Size : 46,7 Mb
Release : 2018-07-26
Category : Science
ISBN : 9780128123201

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Intelligent Data Sensing and Processing for Health and Well-being Applications by Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco Pdf

Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow’s IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. Examines the latest applications and future directions for mobile data sensing in an array of health and well-being scenarios Combines leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field of smart sensors, smart sensor networks, data analysis and machine intelligence methods Features an analysis of security, privacy and ethical issues in smart sensor health and well-being applications Equips readers interested in interdisciplinary projects in ubiquitous computing or pervasive computing and ambient intelligence with the latest trends and developments

Intelligent Systems and Applications

Kohei Arai

Author : Kohei Arai
Publisher : Springer Nature
Page : 886 pages
File Size : 53,5 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9783031160783

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Intelligent Systems and Applications by Kohei Arai Pdf

This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.

Sensor Technologies

Michael J. McGrath,Cliodhna Ni Scanaill,Dawn Nafus

Author : Michael J. McGrath,Cliodhna Ni Scanaill,Dawn Nafus
Publisher : Apress
Page : 321 pages
File Size : 46,5 Mb
Release : 2014-01-23
Category : Computers
ISBN : 9781430260141

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Sensor Technologies by Michael J. McGrath,Cliodhna Ni Scanaill,Dawn Nafus Pdf

Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. The book provides an application-based approach using real-world examples to illustrate the application of sensor technologies in a practical and experiential manner. The book guides the reader from the formulation of the research question, through the design and validation process, to the deployment and management phase of sensor applications. The processes and examples used in the book are primarily based on research carried out by Intel or joint academic research programs. “Sensor Technologies: Healthcare, Wellness and Environmental Applications provides an extensive overview of sensing technologies and their applications in healthcare, wellness, and environmental monitoring. From sensor hardware to system applications and case studies, this book gives readers an in-depth understanding of the technologies and how they can be applied. I would highly recommend it to students or researchers who are interested in wireless sensing technologies and the associated applications.” Dr. Benny Lo Lecturer, The Hamlyn Centre, Imperial College of London “This timely addition to the literature on sensors covers the broad complexity of sensing, sensor types, and the vast range of existing and emerging applications in a very clearly written and accessible manner. It is particularly good at capturing the exciting possibilities that will occur as sensor networks merge with cloud-based ‘big data’ analytics to provide a host of new applications that will impact directly on the individual in ways we cannot fully predict at present. It really brings this home through the use of carefully chosen case studies that bring the overwhelming concept of 'big data' down to the personal level of individual life and health.” Dermot Diamond Director, National Centre for Sensor Research, Principal Investigator, CLARITY Centre for Sensor Web Technologies, Dublin City University "Sensor Technologies: Healthcare, Wellness and Environmental Applications takes the reader on an end-to-end journey of sensor technologies, covering the fundamentals from an engineering perspective, introducing how the data gleaned can be both processed and visualized, in addition to offering exemplar case studies in a number of application domains. It is a must-read for those studying any undergraduate course that involves sensor technologies. It also provides a thorough foundation for those involved in the research and development of applied sensor systems. I highly recommend it to any engineer who wishes to broaden their knowledge in this area!" Chris Nugent Professor of Biomedical Engineering, University of Ulster

Intelligent Data Analysis for Biomedical Applications

Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas

Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
Publisher : Academic Press
Page : 294 pages
File Size : 44,5 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9780128156438

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Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas Pdf

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

AI in Learning: Designing the Future

Hannele Niemi,Roy D. Pea,Yu Lu

Author : Hannele Niemi,Roy D. Pea,Yu Lu
Publisher : Springer Nature
Page : 354 pages
File Size : 48,9 Mb
Release : 2022-11-26
Category : Psychology
ISBN : 9783031096877

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AI in Learning: Designing the Future by Hannele Niemi,Roy D. Pea,Yu Lu Pdf

AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers.

The Science behind the COVID Pandemic and Healthcare Technology Solutions

Sasan Adibi,Abbas Rajabifard,Sheikh Mohammed Shariful Islam,Alireza Ahmadvand

Author : Sasan Adibi,Abbas Rajabifard,Sheikh Mohammed Shariful Islam,Alireza Ahmadvand
Publisher : Springer Nature
Page : 718 pages
File Size : 53,9 Mb
Release : 2022-10-29
Category : Technology & Engineering
ISBN : 9783031100314

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The Science behind the COVID Pandemic and Healthcare Technology Solutions by Sasan Adibi,Abbas Rajabifard,Sheikh Mohammed Shariful Islam,Alireza Ahmadvand Pdf

This book offers a timely review of modern technologies for health, with a special emphasis on wireless and wearable technologies, GIS tools and machine learning methods for managing the impacts of pandemics. It describes new strategies for forecasting evolution of pandemics, optimizing contract tracing, and for detection and diagnosis of diseases, among others. Written by researchers and professionals with different backgrounds, this book offers a extensive information and a source of inspiration for physiologists, engineers, IT scientists and policy makers in the health and technology sector.

Sensors for Health Monitoring

Nilanjan Dey,Jyotismita Chaki,Rajesh Kumar

Author : Nilanjan Dey,Jyotismita Chaki,Rajesh Kumar
Publisher : Academic Press
Page : 322 pages
File Size : 43,7 Mb
Release : 2019-09-09
Category : Technology & Engineering
ISBN : 9780128193624

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Sensors for Health Monitoring by Nilanjan Dey,Jyotismita Chaki,Rajesh Kumar Pdf

Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best sensors for a U-Healthcare system, advises and guides readers on how to overcome challenges relating to data acquisition and signal processing, and presents comprehensive coverage of up-to-date requirements in hardware, communication and calculation for next-generation uHealth systems. It then compares new technological and technical trends and discusses how they address expected u-Health requirements. In addition, detailed information on system operations is presented and challenges in ubiquitous computing are highlighted. The book not only helps beginners with a holistic approach toward understanding u-Health systems, but also presents researchers with the technological trends and design challenges they may face when designing such systems. Presents an outstanding update on the use of U-Health data analysis and management tools in different applications, highlighting sensor systems Highlights Internet of Things enabled U-Healthcare Covers different data transmission techniques, applications and challenges with extensive case studies for U-Healthcare systems

Intelligent Data Security Solutions for e-Health Applications

Amit Kumar Singh,Mohamed Elhoseny

Author : Amit Kumar Singh,Mohamed Elhoseny
Publisher : Academic Press
Page : 342 pages
File Size : 51,5 Mb
Release : 2020-09-01
Category : Computers
ISBN : 9780128195383

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Intelligent Data Security Solutions for e-Health Applications by Amit Kumar Singh,Mohamed Elhoseny Pdf

E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however, is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical records. However, the robustness, security and efficient image archiving and retrieval of medical data information against these cyberattacks is a challenging area for researchers in the field of e-health applications. Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications. Investigates new security and privacy requirements related to eHealth technologies and large sets of applications Reviews how the abundance of digital information on system behavior is now being captured, processed, and used to improve and strengthen security and privacy Provides an overview of innovative security techniques which are being developed to ensure the guaranteed authenticity of transmitted, shared or stored data/information

Quantifying Quality of Life

Katarzyna Wac,Sharon Wulfovich

Author : Katarzyna Wac,Sharon Wulfovich
Publisher : Springer Nature
Page : 596 pages
File Size : 44,7 Mb
Release : 2022
Category : Bioinformatics
ISBN : 9783030942120

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Quantifying Quality of Life by Katarzyna Wac,Sharon Wulfovich Pdf

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject.

Data Mining and Machine Learning In Decision Support

M. Sudha

Author : M. Sudha
Publisher : Walnut Publication
Page : 95 pages
File Size : 41,5 Mb
Release : 2018-12-17
Category : Computers
ISBN : 9789388397230

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Data Mining and Machine Learning In Decision Support by M. Sudha Pdf

This Book outline the experimental studies on various inter-disciplinary applications of data mining and machine learning methods in decision support. This book provides an insight on some real world examples with suitable models and the performance of those methods for real life adoption and optimization.

m-Health

Robert S. H. Istepanian,Bryan Woodward

Author : Robert S. H. Istepanian,Bryan Woodward
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 50,8 Mb
Release : 2016-11-14
Category : Science
ISBN : 9781118496985

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m-Health by Robert S. H. Istepanian,Bryan Woodward Pdf

Addresses recent advances from both the clinical and technological perspectives to provide a comprehensive presentation of m-Health This book introduces the concept of m-Health, first coined by Robert S. H. Istepanian in 2003. The evolution of m-Health since then—how it was transformed from an academic concept to a global healthcare technology phenomenon—is discussed. Afterwards the authors describe in detail the basics of the three enabling scientific technological elements of m-Health (sensors, computing, and communications), and how each of these key ingredients has evolved and matured over the last decade. The book concludes with detailed discussion of the future of m-Health and presents future directions to potentially shape and transform healthcare services in the coming decades. In addition, this book: Discusses the rapid evolution of m-Health in parallel with the maturing process of its enabling technologies, from bio-wearable sensors to the wireless and mobile communication technologies from IOT to 5G systems and beyond Includes clinical examples and current studies, particularly in acute and chronic disease management, to illustrate some of the relevant medical aspects and clinical applications of m-Health Describes current m-Health ecosystems and business models Covers successful applications and deployment examples of m-Health in various global health settings, particularly in developing countries

Data Analytics and Applications of the Wearable Sensors in Healthcare

Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain

Author : Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain
Publisher : MDPI
Page : 498 pages
File Size : 55,7 Mb
Release : 2020-06-17
Category : Medical
ISBN : 9783039363506

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Data Analytics and Applications of the Wearable Sensors in Healthcare by Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain Pdf

This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Cognitive IoT

J P Patra,Gurudatta Verma

Author : J P Patra,Gurudatta Verma
Publisher : CRC Press
Page : 104 pages
File Size : 42,9 Mb
Release : 2022-08-19
Category : Computers
ISBN : 9781000764192

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Cognitive IoT by J P Patra,Gurudatta Verma Pdf

This book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT. It deals with applications of cognitive IoT in this pandemic (COVID-19), applications for student performance evaluation, applications for human healthcare for chronic disease prediction, use of wearable sensors and review regarding their energy optimization and how cognitive IoT helps in farming through rainfall prediction and prediction of lake levels. Features: Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from healthcare devices Explains different sensors available for health monitoring Explores application of cognitive IoT in COVID-19 analysis Discusses pertinent and efficient farming applications for sustaining agricultural growth Reviews smart educational aspects such as student response, performance, and behavior and instructor response, performance, and behavior This book aims at researchers, professionals and graduate students in Computer Science and Engineering, Computer Applications and Electronics Engineering, and Wireless Communications and Networking.

AI and Machine Learning Paradigms for Health Monitoring System

Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi

Author : Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi
Publisher : Springer Nature
Page : 513 pages
File Size : 43,7 Mb
Release : 2021-02-14
Category : Technology & Engineering
ISBN : 9789813344129

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AI and Machine Learning Paradigms for Health Monitoring System by Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi Pdf

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

Real-Time Data Analytics for Large Scale Sensor Data

Himansu Das,Nilanjan Dey,Valentina Emilia Balas

Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
Publisher : Academic Press
Page : 298 pages
File Size : 43,6 Mb
Release : 2019-08-31
Category : Science
ISBN : 9780128182420

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Real-Time Data Analytics for Large Scale Sensor Data by Himansu Das,Nilanjan Dey,Valentina Emilia Balas Pdf

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Intelligent Data Sensing And Processing For Health And Well Being Applications

Intelligent Data Sensing and Processing for Health and Well-being Applications by Miguel Antonio Wister Ovando,Pablo Pancardo Garcia,Francisco Diego Acosta Escalante,Jose Adan Hernandez Nolasco Pdf

Intelligent Systems and Applications by Kohei Arai Pdf

Sensor Technologies by Michael J. McGrath,Cliodhna Ni Scanaill,Dawn Nafus Pdf

Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas Pdf

AI in Learning: Designing the Future by Hannele Niemi,Roy D. Pea,Yu Lu Pdf

The Science behind the COVID Pandemic and Healthcare Technology Solutions by Sasan Adibi,Abbas Rajabifard,Sheikh Mohammed Shariful Islam,Alireza Ahmadvand Pdf

Sensors for Health Monitoring by Nilanjan Dey,Jyotismita Chaki,Rajesh Kumar Pdf

Intelligent Data Security Solutions for e-Health Applications by Amit Kumar Singh,Mohamed Elhoseny Pdf

Quantifying Quality of Life by Katarzyna Wac,Sharon Wulfovich Pdf

Data Mining and Machine Learning In Decision Support by M. Sudha Pdf

m-Health by Robert S. H. Istepanian,Bryan Woodward Pdf

Data Analytics and Applications of the Wearable Sensors in Healthcare by Shabbir Syed-Abdul,Luis Fernandez Luque,Pei-Yun Sabrina Hsueh,Juan M. García-Gomez,Begoña Garcia-Zapirain Pdf

Cognitive IoT by J P Patra,Gurudatta Verma Pdf

AI and Machine Learning Paradigms for Health Monitoring System by Hasmat Malik,Nuzhat Fatema,Jafar A. Alzubi Pdf

Real-Time Data Analytics for Large Scale Sensor Data by Himansu Das,Nilanjan Dey,Valentina Emilia Balas Pdf

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