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Integrated Smart Micro-Systems Towards Personalized Healthcare Presents a thorough summary of recent advances in microelectronic systems and their applications for personalized healthcare Integrated Smart Micro-Systems Towards Personalized Healthcare provides up-to-date coverage of developments in smart microelectronics and their applications in health-related areas such as sports safety, remote diagnosis, and closed-loop health management. Using a comprehensive approach to the rapidly growing field, this one-stop resource examines different methods, designs, materials, and applications of systems such as multi-modal sensing biomedical platforms and non-invasive health monitoring sensors. The book’s five parts detail the core units of micro-systems, self-charging power units, self-driven monitor patches, self-powered sensing platforms, and integrated health monitoring systems. Succinct chapters address topics including multi-functional material optimization, multi-dimensional electrode preparation, multi-scene application display, and the use of multi-modal signal sensing to monitor physical and chemical indicators during exercise. Throughout the text, the authors offer key insights on device performance improvement, reliable fabrication processing, and compatible integration designs. Provides an overview self-powered, wearable micro-systems with emphasis on personalized healthcare Covers the working mechanisms and structural design of different energy-harvesting units, energy storage units, and functional units Introduces an integrated self-charging power unit consisting of triboelectric nanogenerators with supercapacitor Describes a general solution-evaporation method for developing porous CNT-PDMS conductive elastomers Examines a fully-integrated self-powered sweat sensing platform built on a wearable freestanding-mode triboelectric nanogenerator Integrated Smart Micro-Systems Towards Personalized Healthcare is an essential text for researchers, electronic engineers, entrepreneurs, and industry professionals working in material science, electronics, mechanical engineering, bioengineering, and sensor development.
Health technologies for personalized medicine have become important enablers for monitoring and treatment in both inpatient and outpatient care. The benefits of these technologies lead not only to improvements in medical services quality for all stakeholders, but also to new healthcare business models, promising a better containment of healthcare costs. This book presents the proceedings of the 2013 pHealth Conference, held in Tallinn, Estonia, in June 2013. The pHealth conferences have established themselves as the leading international conference series on wearable or implantable micro and nanotechnologies for personalized medicine and health service provision. pHealth 2013 proceeds in bringing together a dynamic emerging professional community from Europe and beyond. The keynotes, invited speeches and oral presentations in this book address these wearable technologies, and also other topics such as health games, terminologies and ontologies, medical decision support, monitoring of environmental and living conditions, as well as social and ethical issues. We are at the beginning of what promises to be revolutionary change in healthcare offering significant opportunities for both patients and healthcare providers. This book will therefore be of interest to the entire healthcare industry.
Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.
Smart mobile systems – microsystems, smart textiles, smart implants, sensor-controlled medical devices – together with related body, local and wide-area networks up to cloud services, have become important enablers for telemedicine and the next generation of healthcare services. The multilateral benefits of pHealth technologies offer enormous potential for all stakeholder communities, not only in terms of improvements in medical quality and industrial competitiveness, but also for the management of healthcare costs and, last but not least, the improvement of patient experience. This book presents the proceedings of pHealth 2021, the 18th in a series of conferences on wearable micro and nano technologies for personalized health with personal health management systems, hosted by the University of Genoa, Italy, and held as an online event from 8 – 10 November 2021. The conference focused on digital health ecosystems in the transformation of healthcare towards personalized, participative, preventive, predictive precision medicine (5P medicine). The book contains 46 peer-reviewed papers (1 keynote, 5 invited papers, 33 full papers, and 7 poster papers). Subjects covered include the deployment of mobile technologies, micro-nano-bio smart systems, bio-data management and analytics, autonomous and intelligent systems, the Health Internet of Things (HIoT), as well as potential risks for security and privacy, and the motivation and empowerment of patients in care processes. Providing an overview of current advances in personalized health and health management, the book will be of interest to all those working in the field of healthcare today.
With contributions from an internationally-renowned group of experts, this book uses a multidisciplinary approach to review recent developments in the field of smart sensor systems, covering important system and design aspects. It examines topics over the whole range of sensor technology from the theory and constraints of basic elements, physics and electronics, up to the level of application-orientated issues. Developed as a complementary volume to ‘Smart Sensor Systems’ (Wiley 2008), which introduces the basics of smart sensor systems, this volume focuses on emerging sensing technologies and applications, including: State-of-the-art techniques for designing smart sensors and smart sensor systems, including measurement techniques at system level, such as dynamic error correction, calibration, self-calibration and trimming. Circuit design for sensor systems, such as the design of precision instrumentation amplifiers. Impedance sensors, and the associated measurement techniques and electronics, that measure electrical characteristics to derive physical and biomedical parameters, such as blood viscosity or growth of micro-organisms. Complete sensor systems-on-a-chip, such as CMOS optical imagers and microarrays for DNA detection, and the associated circuit and micro-fabrication techniques. Vibratory gyroscopes and the associated electronics, employing mechanical and electrical signal amplification to enable low-power angular-rate sensing. Implantable smart sensors for neural interfacing in bio-medical applications. Smart combinations of energy harvesters and energy-storage devices for autonomous wireless sensors. Smart Sensor Systems: Emerging Technologies and Applications will greatly benefit final-year undergraduate and postgraduate students in the areas of electrical, mechanical and chemical engineering, and physics. Professional engineers and researchers in the microelectronics industry, including microsystem developers, will also find this a thorough and useful volume.
Wearable Bioelectronics presents the latest on physical and (bio)chemical sensing for wearable electronics. It covers the miniaturization of bioelectrodes and high-throughput biosensing platforms while also presenting a systemic approach for the development of electrochemical biosensors and bioelectronics for biomedical applications. The book addresses the fundamentals, materials, processes and devices for wearable bioelectronics, showcasing key applications, including device fabrication, manufacturing, and healthcare applications. Topics covered include self-powering wearable bioelectronics, electrochemical transducers, textile-based biosensors, epidermal electronics and other exciting applications. - Includes comprehensive and systematic coverage of the most exciting and promising bioelectronics, processes for their fabrication, and their applications in healthcare - Reviews innovative applications, such as self-powering wearable bioelectronics, electrochemical transducers, textile-based biosensors and electronic skin - Examines and discusses the future of wearable bioelectronics - Addresses the wearable electronics market as a development of the healthcare industry
Advanced Biosensors for Health Care Applications highlights the different types of prognostic and diagnostic biomarkers associated with cancer, diabetes, Alzheimer's disease, brain and retinal diseases, cardiovascular diseases, bacterial infections, as well as various types of electrochemical biosensor techniques used for early detection of the potential biomarkers of these diseases. Many advanced nanomaterials have attracted intense interests with their unique optical and electrical properties, high stability, and good biocompatibility. Based on these properties, advanced nanoparticles have been used as biomolecular carriers, signal producers, and signal amplifiers in biosensor design. Recent studies reported that there are several diagnostic methods available, but the major issue is the sensitivity and selectivity of these approaches. This book outlines the need of novel strategies for developing new systems to retrieve health information of patients in real time. It explores the potential of nano-multidisciplinary science in the design and development of smart sensing technology using micro-nanoelectrodes, novel sensing materials, integration with MEMS, miniaturized transduction systems, novel sensing strategy, that is, FET, CMOS, System-on-a-Chip (SoC), Diagnostic-on-a-Chip (DoC), and Lab-on-a-Chip (LOC), for diagnostics and personalized health-care monitoring. It is a useful handbook for specialists in biotechnology and biochemical engineering. - Describes advanced nanomaterials for biosensor applications - Relates the properties of available nanomaterials to specific biomarkers applications - Includes diagnosis and electrochemical studies based on biosensors - Explores the potential of nano-multidisciplinary science to design and develop smart sensing technologies - Describes novel strategies for developing a new class of assay systems to retrieve the desired health information
Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.
Monitoring the safety of medicine use in children is of paramount importance since during the clinical development of medicines only limited data on this aspect are generated through clinical trials. Use of medicines outside the specifications described in the license (e.g. in terms of formulation indications contraindications or age) constitutes off-label and off-license use and these are a major area of concern. These guidelines are intended to improve awareness of medicine safety issues among everyone who has an interest in the safety of medicines in children and to provide guidance on effective systems for monitoring medicine safety in pediatric populations. This book will be of interest to all health care professionals medicine regulatory authorities pharmacovigilance centres academia the pharmaceutical industry and policy-makers. Systems for monitoring medicine safety are described in Annex 1. Pharmacovigilance methods and some examples of recent information on adverse reactions to marketed medicines are discussed in Annex 2.