Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use of videoconferencing, mentorship during surgical procedures, or machine-to-machine communication to process data from one location by programmes running in another. This edited book presents a variety of technologies with applications in telemedicine, originating from the fields of biomedical sensors, wireless sensor networking, computer-aided diagnosis methods, signal and image processing and analysis, automation and control, virtual and augmented reality, multivariate analysis, and data acquisition devices. The Internet of Medical Things (IoMT), surgical robots, telemonitoring, and teleoperation systems are also explored, as well as the associated security and privacy concerns in this field. Topics covered include critical factors in the development, implementation and evaluation of telemedicine; surgical tele-mentoring; technologies in medical information processing; recent advances of signal/image processing techniques in healthcare; a real-time ECG processing platform for telemedicine applications; data mining in telemedicine; social work and telemental health services for rural and remote communities; applying telemedicine to social work practice and education; advanced telemedicine systems for remote healthcare monitoring; the impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images; modelling the relationships between changes in EEG features and subjective quality of HDR images; IoMT and healthcare delivery in chronic diseases; and transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy.

Nanomaterials are able to penetrate nanoscale pores of tissues, possess prolonged circulation, enter cells, and have increased surface area per volume allowing for greater drug loading. For these reasons, nanomaterials are finding numerous uses in medicine including fighting cancer, promoting tissue regeneration, reversing aging, inhibiting infection, limiting inflammation or scar tissue growth, and many others. This book describes the engineering applications and challenges of using nanostructured surfaces and nanomaterials in healthcare. Topics covered include biomimetic coating of calcium phosphates on Ti metals; surface modifications of orthopaedic implant materials using an electroplating process; design, fabrication and application of carbon-based nano biomaterials; usage of stem cells in bone and cartilage tissue engineering; nanobiomaterials and 3D bioprinting for osteochondral regeneration; self- assembled peptide hydrogels for biomedical applications; antimicrobial properties of nanomaterials; nanoparticle enhanced radiation therapy for bacterial infection; nanomaterials used in implant technology and their toxicity; challenges of risk assessment of nanomaterials in consumer products and current regulatory status; and the clinical rationale for silicon nitride bioceramics in orthopedics. With contributions from an international selection of researchers this book is essential reading for researchers in industry and academia working at the interfaces of healthcare, engineering and nanotechnology.

A secured system for Healthcare 4.0 is vital to all stakeholders, including patients and caregivers. Using the new Blockchain system of trusted ledgers would help guarantee authenticity in the multi-access system that is Healthcare 4.0. This is the first comprehensive book that explores how to achieve secure systems for Healthcare 4.0 using Blockchain, with emphasis on the key challenges of privacy and security. The book is organized into four sections. The first section is focused on 5G healthcare privacy and security concerns. The second section discusses healthcare architecture and emerging technologies. The third section covers the role of artificial intelligence for data security and privacy in 5G healthcare services. Finally, the last section systematically illustrates the adoption of blockchain in various applications of 5G healthcare. The book is essential reading for all involved in setting up, running, and maintaining healthcare information systems. Engineers, scientists, technologists, developers, designers, and researchers in healthcare technologies, health informatics, security, and information technology will find the content particularly useful.

While digital transformations are happening in all walks of society and business, there is real potential for improving the quality of life of the elderly using digital methods and tools. This book evolved from a recent multi-country and multi-disciplinary initiative called Digital Health for the Ageing Population. This project (2019-2021) aimed to promote the general awareness of digital health for the ageing population with collaborative research across several countries including Australia, Bangladesh, China, India, Japan, Norway, The Netherlands, and USA.Digital health promises to deliver better healthcare quality cost-efficiently to more people, especially in the case of lifestyle diseases such as diabetes. It will achieve this by combining the benefits of telehealth, eHealth, data-driven personalised healthcare, and evidence-based care. This book presents a discussion of evolving digital technologies, such as smart phones and assisted living, and innovative digitally based services that are helping improve the quality and cost of healthcare for the elderly.With its international scope and detailed coverage of relevant digital methods and tools, this book will benefit healthcare technologists, ICT developers, managers of healthcare and mobile healthcare projects, and academic researchers working in related fields.

Electromagnetic waves have long been used in medical settings for diagnostic purposes, such as for the detection of cancerous tissues, stroke events or cardiovascular risk, as the behaviour of the waves upon meeting their target gives pertinent information for diagnostic and imaging purposes. This edited book presents advances in the use of electromagnetic waves and antennas in healthcare settings, both as diagnostic tools (such as radar-based imaging, holographic microwave imaging, thermoacoustic imaging systems), and therapeutic interventions (such as microwave ablation therapies for cancer). Written by an international team of biomedical engineering researchers, it discusses all aspects related to the design and modelling of electromagnetic imaging techniques, electromagnetic devices, wireless implants, wearable systems and wireless sensor networks and in vitro and in vivo testing. Design issues for wearable antennas, wearable sensors, magnetic coils and coil array issues are explored and biomedical applications such as cancer detection, stoke event detection, GI diagnostics, and cardiovascular risk prediction are discussed. The book also explores scattering problems of electromagnetic waves between different tissues, and how these complex scattering problems can be resolved. This book will be of interest to researchers and engineers in the electromagnetic wave community, those in antenna research, biomedical engineering and related fields.

Enhanced living environments employ information and communications technologies to support true ambient assisted living for adults and 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. Topics covered include: an introduction to enhanced living environments; pervasive sensing for social connectedness; ethics in information and communication technologies; service scenarios in smart personal environments; technological support to stress level monitoring; big data systems to improve healthcare information searching over the Internet; sensors for wireless body area networks; linear wireless sensor networks and protocols in next generation networks; model-compilation challenges for cyber-physical systems; health monitoring using wireless body area networks; wearable health care; and intelligent systems for after-stroke home rehabilitation.

IoT-enabled healthcare technologies can be used for remote health monitoring, rehabilitation assessment and assisted ambient living. Healthcare analytics can be applied to the data gathered from these different areas to improve healthcare outcomes by providing clinicians with real-world, real-time data so they can more easily support and advise their patients. The book explores the application of Al systems to analyse patient data and guide interventions. IoT-based monitoring systems and their security challenges are also discussed. The book is designed to be a reference for healthcare informatics researchers, developers, practitioners, and people who are interested in the personalised healthcare sector. The book will be a valuable reference tool for those who identify and develop methodologies, frameworks, tools, and applications for working with medical big data and researchers in computer engineering, healthcare electronics, device design and related fields.

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. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chronic disease. With contributions from an international panel of leading researchers, this book will find a place on the bookshelves of academic and industrial researchers and advanced students working in healthcare technologies, biomedical engineering, and machine learning.

Nanobiosensors have been successful for in vitro as well as in vivo detection of several biomolecules and it is expected that this technology will revolutionize point-of-care and personalized diagnostics, and will be extremely applicable for early disease detection and therapeutic applications. This book describes the emerging nanobiosensor technologies which are geared towards onsite clinical applications and those which can be used as a personalised diagnostic device. Biosensor technologies and materials covered include electrochemical biosensors; implantable microbiosensors; microfluidic technology; surface plasmon resonance-based technologies; optical and fibre-optic sensors; lateral flow biosensors; lab on a chip; nanomaterials based (graphene, nanoparticles, nanocomposites, and other carbon nanomaterial) sensors; metallic nanobiosensors; wearable and doppler-based non-contact vital signs biosensors; and technologies for smartphone based disease diagnosis. Clinical applications of these technologies covered in this book include detection of various protein biomarkers, small molecules, cancer and bacterial cells; detection of foodborne pathogens; generation and optimisation of antibodies for biosensor applications; microRNAs and their applications in diagnosis for osteoarthritis; detection of circulating tumor cells; online heartbeat monitoring; analysis of drugs in body fluids; sensing of nucleic acids; and monitoring oxidative stress.

Patient-Centered Digital Healthcare Technology explores the creative intersection of novel, emerging technologies and medicine. This convergence is transforming the landscape of healthcare with the overarching objectives of improving clinical outcomes and advocating wellness. The concept of encountering or treating a medical condition when it has already become disturbingly manifest is being replaced by earlier awareness, diagnosis, and proactive intervention enabled by technologies. This book features a range of innovations in health information systems and big data, artificial intelligence and machine learning, real-time home monitoring tools, smartphone apps, medical robotics and intelligent machines, virtual and augmented realities, genome sequencing, blockchain and gamification in healthcare. Intuitive digital health solutions motivate end-users to become active partners in their care, thus enhancing patient engagement and empowerment. This may perhaps lead to yet the most gratifying consequence of novel and emerging technologies: the democratization of healthcare. This book offers a valuable resource for healthcare providers, engineers, data and computer scientists, researchers, practitioners in academia, biomedical industry and multi-disciplinary clinical settings. Subjects include informatics, computing, networking, wireless and mobile applications, and robotic sensing that collectively improve healthcare access and delivery.