Healthcare Technologies
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Active and Assisted Living: Technologies and Applications
- Editors: Francisco Florez-Revuelta; Alexandros Andre Chaaraoui
- Publication Year: 2016
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Active and Assisted Living (AAL) systems aim at improving the quality of life and supporting independent and healthy living of older or impaired people by using a distributed network of sensors and actuators to create a ubiquitous technological layer, able to interact transparently with the users, observing and interpreting their actions and intentions, learning their preferences and adjusting the parameters of the system to improve their quality of life and work. This book provides a comprehensive review of the technologies and applications for AAL. Topics covered include the current state of the art of smart environments and labs from an AAL point of view; ambient and wearable sensors for human health monitoring; computer vision for active and assisted living; data fusion for identifying lifestyle patterns; interoperable enhanced living environments; reasoning systems for AAL; person-environment interaction; data analytics for enabling connected health; human gait analysis for frailty detection; fall prevention and detection; supporting activities of daily living; outdoor mobility assistance; location and orientation technologies based on WiFi systems; health, wellbeing and engagement in life through AAL; tablet-based clinical decision support system for hospitalised older adults; smart, age-friendly cities and communities; privacy and ethical issues; and human-centred design. The book concludes with a case study on the design and implementation of a smart home technological platform for the delivery of AAL services. With a wide range of chapters from international contributors, this book is essential reading for researchers and students in academics and industry developing AAL technologies, healthcare practitioners, and engineers with an interest in the field.
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Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications
- Editors: Tarik A. Rashid; Chinmay Chakraborty; Kym Fraser
- Publication Year: 2020
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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.
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Biomedical Nanomaterials: From Design To Implementation
- Editors: Thomas Webster; Hilal Yazici
- Publication Year: 2016
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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.
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Blockchain and Machine Learning for e-Healthcare Systems
- Editors: Balamurugan Balusamy; Naveen Chilamkurti; Lucia Agnes Beena; T. Poongodi
- Publication Year: 2020
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Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.
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Control of Prosthetic Hands: Challenges and emerging avenues
- Editor: Kianoush Nazarpour
- Publication Year: 2020
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This edited book brings together research from laboratories across the world, in order to offer a global perspective on advances in prosthetic hand control. State-of-the-art control of prosthetics in the laboratory and clinical spaces are presented and the challenges discussed, and the effect of user training on control of prosthetics to evaluate the translational efficacy and value for the end-user is highlighted. The book begins with a chapter introducing the fundamental principles, engineering challenges and control solutions for prosthetic hands. Further chapters address methods to design bespoke sockets, magnetomyography, implantable technologies for closed-loop control of prostheses, direct neural control of prostheses via nerve implants as well as user-prosthesis co-adaptation, and two chapters on prosthetics for children. The book concludes with a chapter by Dr Nazarpour on the future of myoelectric prosthetics control, with particular focus on the successful translation of research advances into real clinical gains. The book is essential reading for anyone involved in research or undertaking advanced courses in prosthetic design and control. It provides an in-depth exploration of this rewarding topic, by exploring technologies with the potential to improve the quality of life of upper-limb prosthetic users.
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EEG Signal Processing: Feature extraction, selection and classification methods
- Editor: Wai Yie Leong
- Publication Year: 2019
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Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple and inexpensive equipment, and is easier to use than other methods. EEG-based BCI methods provide modest speed and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and feature classification to discriminate among several mental tasks. This edited book presents state of the art aspects of EEG signal processing methods, with an emphasis on advanced strategies, case studies, clinical practices and applications such as EEG for meditation, auditory selective attention, sleep apnoea; person authentication; handedness detection, Parkinson's disease, motor imagery, smart air travel support and brain signal classification.
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Engineering High Quality Medical Software: Regulations, standards, methodologies and tools for certification
- Author(s): Antonio Coronato
- Publication Year: 2018
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No longer confined to medical devices, medical software has become a pervasive technology giving healthcare operators access to clinical information stored in electronic health records and clinical decision support systems, supporting robot-assisted telesurgery, and providing the technology behind ambient assisted living. These systems and software must be designed, built and maintained according to strict regulations and standards to ensure that they are safe, reliable and secure. Engineering High Quality Medical Software illustrates how to exploit techniques, methodologies, development processes and existing standards to realize high-confidence medical software. After an introductory survey of the topic the book covers global regulations and standards (including EU MDD 93/42/EEC, FDA Title 21 of US CFR, ISO 13485, ISO 14971, IEC 52304, IEEE 1012 and ISO/IEC 29119), verification and validation techniques and techniques, and methodologies and engineering tasks for the development, configuration and maintenance of medical software.
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Enhanced Living Environments: From models to technologies
- Editors: Rossitza Ivanova Goleva; Ivan Ganchev; Ciprian Dobre; Nuno Garcia; Carlos Valderrama
- Publication Year: 2017
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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.
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Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video
- Editors: Christos P. Loizou; Constantinos S. Pattichis; Jan D'hooge
- Publication Year: 2018
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Ultrasound imaging technology has experienced a dramatic change in the last 30 years. Because of its non-invasive nature and continuing improvements in image quality, ultrasound imaging is progressively achieving an important role in the assessment and characterization of cardiovascular imaging. Speckle is inherent in ultrasound imaging giving rise to a granular appearance instead of homogeneous, flat shades of gray, as is visible and as such, speckle can severely compromise interpretation of ultrasound images, particularly in discrimination of small structures. On the other hand, speckle can be used in the detection of time varying phenomena, or tracking tissue motion. The objective of this book is to provide a reference edited volume covering the whole spectrum of speckle phenomena, theoretical background and modelling, algorithms and selected applications in cardiovascular ultrasound imaging and video processing and analysis. The book is organized under the following four parts, Part I: Introduction to Speckle Noise; Part II: Speckle Filtering; Part III: Speckle Tracking; Part IV: Selected Applications in Cardiovascular Imaging.
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Human Monitoring, Smart Health and Assisted Living: Techniques and technologies
- Editors: Sauro Longhi; Andrea Monteriu; Alessandro Freddi
- Publication Year: 2017
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Interest in Information and Communication Technologies for human monitoring, smart health and assisted living is growing due to the significant impact that these technologies are expected to have on improving the quality of life of ageing populations around the world. This book brings together chapters written by a range of researchers working in these topics, providing an overview of the areas and covering current research, developments and applications for a readership of researchers and research-led engineering practitioners. It discusses the promises and the possible advantages of these technologies, and also indicates the challenges for the future. Topics covered include: personal monitoring and health data acquisition in smart homes; contactless monitoring of respiratory activity; technology-based assistance of people with dementia; wearable sensors for gesture analysis; design and prototyping of home automation systems for the monitoring of elderly people; multi-sensor platform for circadian rhythm analysis; smart multi-sensor solutions for activity detection; human monitoring based on heterogeneous sensor networks; mobile health for vital signs and gait monitoring systems; and smartphone-based blood pressure monitoring for falls risk assessment.
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Machine Learning for Healthcare Technologies
- Editor: David A. Clifton
- Publication Year: 2016
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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.
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Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions
- Editors: Pradeep Kumar Ray; Naoki Nakashima; Ashir Ahmed; Soong-Chul Ro; Yasuhiro Soshino
- Publication Year: 2020
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This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects. This book brings together joint work in mHealth projects across multiple disciplines (software, healthcare, mobile communications, entrepreneurship and business and social development). Bringing together research from different institutions and disciplines, the editors illustrate the technical and entrepreneurial aspects of using mobile technologies for healthcare development in remote regions. Chapters are grouped into five key themes: the global challenge, portable health clinics, sustainable and resilient mHealth services, mHealth for the elderly, and mHealth for chronic illnesses. The book will be of particular interest to engineers, entrepreneurs, NGOs and researchers working in healthcare in sustainable development settings.
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Nanobiosensors for Personalized and Onsite Biomedical Diagnosis
- Editor: Pranjal Chandra
- Publication Year: 2016
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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.
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Neurotechnology: Methods, advances and applications
- Editors: Victor Hugo de Albuquerque; Alkinoos Athanasiou; Sidarta Ribeiro
- Publication Year: 2020
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This book focuses on recent advances and future trends in the methods and applications of technologies that are used in neuroscience for the evaluation, diagnosis and treatment of neurological diseases and conditions or for the improvement of quality of life. The editors have assembled contributions from a range of international experts, to bring together key topics in neurotechnology, neuroengineering, and neurorehabilitation. The book explores biomedical signal processing, neuroimaging acquisition and analysis, computational intelligence, virtual and augmented reality, biometrics, machine learning and neurorobotics, human machine interaction, mobile apps and discusses ways in which these neural technologies can be used as diagnostic tools, research methods, treatment modalities, as well as in devices and apps in everyday life. This cross-disciplinary topic is of particular interest to researchers and professionals with a background in neuroscience-related disciplines and neurotechnology, but also touches on a wide range of other fields including biomedical engineering, AI, medicine, healthcare, security and industry, among others.
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Patient-Centered Digital Healthcare Technology: Novel applications for next generation healthcare systems
- Editors: Leonard Goldschmidt; Rona Margaret Relova
- Publication Year: 2020
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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.
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Portable Biosensors and Point-of-Care Systems
- Editor: Spyridon E. Kintzios
- Publication Year: 2017
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Portable Biosensors and Point-of-Care Systems describes the principles, design and applications of a new generation of analytical and diagnostic biomedical devices, characterized by their very small size, ease of use, multi-analytical capabilities and speed to provide handheld and mobile point-of-care (POC) diagnostics. The book is divided in four Parts. Part I is an in-depth analysis of the various technologies upon which portable diagnostic devices and biosensors are built. In Part II, advances in the design and optimization of special components of biosensor systems and handheld devices are presented. In Part III, a wide scope of applications of portable biosensors and handheld POC devices is described, ranging from the support of primary healthcare to food and environmental safety screening. Diverse topics are covered, including counterterrorism, travel medicine and drug development. Finally, Part IV of the book is dedicated to the presentation of commercially available products including a review of the products of point-of-care in-vitro-diagnostics companies, a review of technologies which have achieved a high Technology Readiness Level, and a special market case study of POC infusion systems combined with intelligent patient monitoring. This book is essential reading for researchers and experts in the healthcare diagnostic and analytical sector, and for electronics and material engineers working on portable sensors.
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Security and Privacy of Electronic Healthcare Records: Concepts, paradigms and solutions
- Editors: Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar
- Publication Year: 2019
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Hospitals, medical practices and healthcare organizations are implementing new technologies at breakneck speed. Yet privacy and security considerations are often an afterthought, putting healthcare organizations at risk of data security and privacy issues, fines, damage to their reputations, with serious potential consequences for the patients. Electronic Health Record systems (EHRs) consist of clinical notes, patient listings, lab results, imaging results and screening tests. EHRs are growing in complexity over time and requiring increasing amounts of data storage. With the development of the IoT, the Cloud and Smart Cities frameworks, new privacy and security methods are being pursued to secure healthcare-based systems and platforms. Presenting a detailed framework as well as comparative case studies for security protection, data integrity, privacy preservation, scalability, and healthcare legislation, this edited volume covers state of the art research and addresses privacy and security methods and technologies for EHRs.
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Semiconductor Lasers and Diode-based Light Sources for Biophotonics
- Editors: Peter E. Andersen; Paul Michael Petersen
- Publication Year: 2018
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Semiconductor lasers are small, reliable, low cost, high-performance and user-friendly optical devices which make them highly suitable for a variety of biomedical applications. This edited book gathers experts in the field to cover the fundamentals and technology advances of semiconductor lasers and diode-based lasers with a focus on their applications in medical optics and biophotonics including edge-emitting semiconductor lasers and light emitting diodes, Q-switched and mode-locked lasers, quantum cascade lasers, semiconductor disk lasers, near-infrared spectroscopy systems for biomedical applications, bio-medical Raman spectroscopy, nonlinear imaging and optical coherence tomography.
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Soft Robots for Healthcare Applications: Design, modelling, and control
- Author(s): S. Xie ; M. Zhang ; W. Meng
- Publication Year: 2017
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Robot-assisted healthcare offers benefits for repetitive, intensive and task specific training compared to traditional manual manipulation performed by physiotherapists. However, a majority of existing rehabilitation devices use rigid actuators such as electric motors or hydraulic cylinders which cannot guarantee the safety of patients; novel soft robots combining soft and compliant actuators with stiff skeletons offer a better alternative. This book focuses on the development of these soft robotics for rehabilitation purposes. Topics covered include an introduction to soft robots and the state of the art of their use in healthcare; concept and modelling of a soft rehabilitation actuator - the Peano muscle; design of the reactive Peano muscle; soft wrist rehabilitation robot; development and control of a soft ankle rehabilitation robot (SARR); design, modelling and control strategies of a gait rehabilitation exoskeleton (GAREX); and conclusions and future work. 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.
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Value-based Learning Healthcare Systems: Integrative Modeling and Simulation
- Author(s): Zeigler P. Bernard ; Traore Kaba Traore ; Grégory Zacharewicz ; Raphaël Duboz
- Publication Year: 2018
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Achieving value-based healthcare - increasing quality, reducing cost, and spreading access - has proven to be extremely challenging, in part due to research that is siloed and largely focused on singular risk factors, ineffective care coordination resulting from service fragmentation, and costly unintended consequences of reform that have emerged due to the complexity of healthcare systems. Understanding the behavior of the overall system is becoming a major concern among healthcare managers and decision-makers intent on increasing value for their systems. This book fills a gap in the literature that is becoming more evident as reform efforts proliferate: a holistic Modeling and Simulation (M&S) approach to value-based healthcare within a framework that enables designing, testing and implementing concepts to integrate resource allocations, health phenomenon dynamics, individual behavior, and population dynamics. It presents a pathways-based efficient coordination of care model involving all stakeholders including patients, providers, care deliverers, managers, and payers. It shows how M&S can help design a better service infrastructure and describes the information technologies that are necessary to implement it successfully. It also presents global and national healthcare perspectives from Europe, USA, Asia and Africa, as well as research directions needed to realize the value-based M&S healthcare vision.