Healthcare Paradigms In The Internet Of Things Ecosystem, Balas, Valentina E.
Автор: Zhang, Mingming Meng, Wei Название: Soft robots for healthcare applications ISBN: 1785613111 ISBN-13(EAN): 9781785613111 Издательство: Неизвестно Рейтинг: Цена: 25749.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents novel applications of mechatronics to provide better clinical rehabilitation services and new insights into emerging technologies utilized in soft robots for healthcare, and is essential reading for researchers and students working in these and related fields.
Автор: Mcgrath, Michael J. Scanaill, Cliodhna Ni Nafus, Dawn Название: Sensor technologies: healthcare, wellness and environmental applications ISBN: 1430260130 ISBN-13(EAN): 9781430260134 Издательство: Springer Рейтинг: Цена: 4186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter One: Introduction
Chapter Goal: Reader should understand the key challenges and drivers for sensor application development. The reader should also understand how sensor technologies can play a role in addressing some of the key challenges facing global society in the short to medium term. 1. Book overview 2. Drivers for Sensor Applications (Infrastructure Growth in Developing Countries, Advances in Energy Harvesting, New Applications, Cost reduction, Real-time monitoring of situations to avoid unplanned downtime, Security (personal and national), the internet of things). 3. Challenges for Sensor Applications (Power, Efficient Operation in Harsh Environments, Number of Deployable Nodes, Safety and Regulations, High Cost of Installation, Security and Reliability, sensor management) 4. Global Megatrends and the opportunities for sensing technologies o Water and Food Constraints o Aging Demographics o Public Health o Pandemics o Security
Chapter 2: Sensing and Sensor Fundamentals
Chapter Goal: Reader should understand existing sensor technologies, which can be used in healthcare, wellness, and environmental domains. They should also understand the role of smart sensors and smart phones as mobile sensing platforms and aggregators. 1. Sensing Modalities (Mechanical, MEMS, Optical, ISFET, TAS) 2. Sensing Domains (Air, Water, Noise, Bacterial, Chemical, Kinematic, DNA, Physiological) 3. Functional Characterisation of Sensors o Communication methods - discrete, wired, wireless o Smart Sensors and Sensor Platforms MSP430 (SHIMMER and telosB motes) ATmega PIC 4. Smart Phones as mobile sensor platforms 5. Selecting and specifying sensors
Chapter 3 Key Sensor Technology Components - Hardware and Software Overview Chapter Goal: Reader should have a high level understanding of the key hardware and software components, which are necessary for the development of sensors systems and why technologies are selected for specific applications. 1. Overview - Sensor systems 2. MCU's (TI MSP430, ATmega, PIC) a. ADCs b. Interrupts c. Real-time Clocks 3. Sensor Interfaces a. Digital b. Analog c. I2C 4. Communications - wired and wireless interfaces RS232/485, USB, Ethernet, FieldbusProprietary Short Range Wireless Protocols (e.g. ANT, BodyLAN, Sensium)Standard Short Range Protocols i. IEEE 802.15.6 ii. Bluetooth/Smart Bluetooth iii. 802.15.4 iv. UWB Medium Range i. Wi-Fi 5. Data storage (EEPROM, sd card, data forwarding) 6. Power management and Energy Harvesting 7. Operating Systems and Software Development Environments (SDK's)
Chapter 4 Sensor Network Architectures
Chapter Goal: Reader should understand the various approaches to the design of sensor network architectures; scaling from body worn systems, to ambient sensing, to city-scale deployments. The reader should also understand the advantages and disadvantages of current and evolving sensor network architectures. 1. Sensor network architectures o Discrete Sensor o Sensor to aggregator o PAN/WPAN/smart clothing o Pervasive/Ambient sensor networks o Wide area networks (city-wide, country wide) 2. Challenges in developing and deploying sensor networks 3. Current and Proposed Solutions o Remote sensor management o Edge Processing o Power harvesting o New communication standards Chapter 5: Adding Vibrancy to Sensor Data Chapter Goal: Reader shoul
Автор: Gurumoorthy, Sasikumar Krishna, P. Venkata Obaidat, Mohammad S. Название: Internet of things and personalized healthcare systems ISBN: 9811308659 ISBN-13(EAN): 9789811308659 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.
Автор: Sheryl Brahnam; Lakhmi C. Jain Название: Advanced Computational Intelligence Paradigms in Healthcare 6 ISBN: 3642446248 ISBN-13(EAN): 9783642446245 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering a plethora of aspects of this developing field, this book explores the latest applications of virtual reality to psychotherapy, rehabilitation and neurological assessment. It ranges from VR`s use in conditions from PTSD to amblyopia in children.
Автор: Barry G. Silverman; Ashlesha Jain; Ajita Ichalkara Название: Intelligent Paradigms for Healthcare Enterprises ISBN: 3642061753 ISBN-13(EAN): 9783642061752 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This compendium brings together leading researchers in the fields of Intelligent Systems and healthcare aiming at medical engineers, healthcare managers and computer scientists worldwide.
Автор: Balas, Valentina E. Название: Internet Of Things In Biomedical Engineering ISBN: 0128173564 ISBN-13(EAN): 9780128173565 Издательство: Elsevier Science Рейтинг: Цена: 22401.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on 'daily life.' Contributors from various experts then discuss 'computer assisted anthropology, ' CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining.
This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic.
Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications
Discusses big data and data mining in healthcare and other IoT based biomedical data analysis
Includes discussions on a variety of IoT applications and medical information systems
Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT
Автор: Picard, Robert Название: Value of Connected Things for Healthcare ISBN: 178548298X ISBN-13(EAN): 9781785482984 Издательство: Elsevier Science Рейтинг: Цена: 18022.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Value of Connected Things for Healthcare is based on feedback from members of the LLSA Forum, patients, healthcare professionals, Living Labs, industrialists, researchers and institutional actors confronted with the design, development, implementation and use of these types of tools that penetrate health and communicate data. The term connected object refers to devices that continuously collect data through these objects, providing the state of health of people wherever they are and whatever they do. These objects allow clinical researchers to study new phenomena that have hitherto escaped observations in institutions.
However, the mobilization of these technologies in this context poses technical questions because the requirements of a remote, continuous operation are high. What is termed connected health emphasizes the human dimension of the subject, i.e., citizens, patients, health professionals, territorial communities, professional networks, institutions and associations. The questions of who benefits and ethical considerations are paramount to this discussion.
Brings awareness of the complexity of connected objects
Presents examples that highlight the use of connected codes
Describes new devices and related services
Identifies the challenges associated with solving these problems
Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues csover wide-ranging technology areas along with their applications and challenges. It also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
Автор: Dey, Nilanjan Название: Big Data Analytics for Intelligent Healthcare Management ISBN: 012818146X ISBN-13(EAN): 9780128181461 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.
Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more
Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc.
Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Energy Efficiency of Medical Devices and Healthcare Facilities provides comprehensive coverage of cutting-edge, interdisciplinary research, and commercial solutions in this field. The authors discuss energy-related challenges, such as energy-efficient design, including renewable energy, of different medical devices from a hardware and mechanical perspectives, as well as energy management solutions and techniques in healthcare networks and facilities. They also discuss energy-related trade-offs to maximize the medical devices availability, especially battery-operated ones, while providing immediate response and low latency communication in emergency situations, sustainability and robustness for chronic disease treatment, in addition to high protection against cyber-attacks that may threaten patients' lives. Finally, the book examines technologies and future trends of next generation healthcare from an energy efficiency and management point of view, such as personalized or smart health and the Internet of Medical Things -- IoMT, where patients can participate in their own treatment through innovative medical devices and software applications and tools. The books applied approach makes it a useful resource for engineering researchers and practitioners of all levels involved in medical devices development, healthcare systems, and energy management of healthcare facilities. Graduate students in mechanical and electric engineering, and computer science students and professionals also benefit.
Название: Machine learning for healthcare technologies ISBN: 1849199787 ISBN-13(EAN): 9781849199780 Издательство: Неизвестно Рейтинг: Цена: 26553.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.
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