Bøker i Healthcare Technologies-serien

This edited book discusses the technical considerations, potential opportunities and critical challenges of AI and blockchain in telehealth systems and presents case studies and critical lessons to consider when designing future AI and blockchain-based telehealth systems which have privacy and security in mind.

This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses.

This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis.

Health informatics uses information technology to organise and analyse health data to improve healthcare outcomes. This book covers current and future applications of health informatics topics including robotics, sensing, and blockchain and discusses electronic access (and connectivity) to medical records for patients and clinicians.

This book covers computer-integrated equipment manufacturing, which allows high levels of adaptability and rapid equipment design changes to enable smart manufacturing processes. Benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation, are discussed.

This book discusses the applications of distributed ledger technology in healthcare environments such as e-healthcare records and data security, health insurance management and fraud detection, pharmaceutical supply chain management and drug traceability, and IoT enabled patient monitoring.

This book concentrates on sensing and measurement technologies for rehabilitation applications. The book looks at motion sensing technologies, human motion and exogames and healthcare applications including speech, respiration, and recovery from stroke or accident.

This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how machine learning techniques can be applied to help individual patients.

This book discusses digital twin technologies for applications in the healthcare system. The book also addresses the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues.

This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.

This edited book covers novel techniques and solutions that provide medical information processing and security for smart healthcare applications. It covers the recent trends in the field of medical information processing and focuses on new security approaches and privacy solutions for smart healthcare applications.

Enhanced living environments employ information and communications technologies to support true ambient assisted living for people with disabilities. This book provides an overview of today's architectures, techniques, protocols, components, and cloud-based solutions related to ambient assisted living and enhanced living environments.

This book explores technologies that will lead the way to a revolution in healthcare delivery. Topics include information systems in healthcare, big data for public health, home monitoring, mobile apps, gamification, minimally disruptive medicine, medical robotics, immersive technologies, blockchain and artificial intelligence.

This book presents an innovative, unique and holistic approach to modeling and simulation approaches in healthcare management. From system architecture to modeling methodology, this book shows how to improve patient health and costs of care via the design and implementation of an efficient infrastructure.

This book focuses on the feature extraction methods used in Electroencephalographic (EEG) signal processing. It presents state-of-the-art aspects of EEG interpretation and the value of EEG; gives practical tips on interpretation and covers specific areas where EEG is most useful.

This book focuses on high-confidence medical software in the growing field of e-health, telecare services and health technology. It covers the development of methodologies and engineering tasks together with standards and regulations for medical software.

In this title, a team of top experts address cyber security for e-Health technologies and systems. It examines the need for better security and privacy infrastructure, outlining methods and policies for working with sensitive data.

This book presents a discussion of evolving digital technologies, such as smart phones, assisted living, and innovative digitally based services that are helping to deliver quality, cost-effective and widely accessible healthcare for the elderly.

This book discusses electromagnetic waves and antennas used as diagnostic tools and therapeutic techniques for applications in cancer detection, stroke event detection, GI diagnostics, and cardiovascular risk predictions. It discusses electromagnetic devices, wireless implants, and in vitro and in vivo testing.

Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.