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This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings. In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers.
Healthcare transformation requires us to continually look at new and better ways to manage insights - both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization's day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V's that matter in healthcare and why Harmonize the 4 C's across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.
This book is specifically designed to serve the community of postgraduates and researchers in the fields of epidemiology, health GIS, medical geography, and health management. It starts with the basic concepts and role of remote sensing, GIS in Kala-azar diseases. The book gives an exhaustive coverage of Satellite data, GPS, GIS, spatial and attribute data modeling, and geospatial analysis of Kala-azar diseases. It also presents the modern trends of remote sensing and GIS in health risk assessment with an illustrated discussion on its numerous applications.
This volume presents the proceedings of the International Conference on Biomedical and Health Informatics (ICBHI). The conference was a new special topic conference and a common initiative by the International Federation of Medical and Biological Engineering (IFMBE) and IEEE Engineering in Medicine and Biology Society (IEEE- EMBS). BHI2015 was held in Haikou, China, 8-10 October 2015. The main theme of the BHI2015 is "The Convergence: Integrating Information and Communication Technologies with Biomedicine for Global Health". The ICBHI2015 proceedings examine enabling technologies of sensors, devices and systems that optimize the acquisition, transmission, processing, storage, retrieval, use of biomedical and health information as well as to report novel clinical applications of health information systems and the deployment of m-Health, e-Health, u-Health, p-Health and Telemedicine.
Enter the OR with confidence Here's your go-to guide to the vast array of surgical instruments and equipment used in the OR today. This spiral-bound text/atlas delivers over 725 full-color photographs, detailed specifications, and comprehensive coverage you won't find anywhere else. Thoroughly updated and revised throughout to reflect the practice of surgery today, it's the resource you'll turn to every day.
Wound Healing Biomaterials: Volume Two, Functional Biomaterials discusses the types of wounds associated with trauma, illness, or surgery that can sometimes be extremely complex and difficult to heal. Consequently, there is a prominent drive for scientists and clinicians to find methods to heal wounds opening up a new area of research in biomaterials and the ways they can be applied to the challenges associated with wound care. Much research is now concerned with new therapies, regeneration methods, and the use of biomaterials that can assist in wound healing and alter healing responses. This book provides readers with a thorough review of the functional biomaterials used for wound healing, with chapters discussing the fundamentals of wound healing biomaterials, films for wound healing applications, polymer-based dressing for wound healing applications, and functional dressings for wound care.
Revealing the many roles of RNA in regulating gene expression For decades after the discoveries of messenger RNA, transfer RNA, and ribosomal RNA, it was largely assumed that the role of RNA in the cell was limited to shuttling the genomic message, chaperoning amino acids, and toiling in the ribosomes. Eventually, hints that RNA molecules might have regulatory roles began to appear. With the advent of genomics and bioinformatics, it became evident that numerous other RNA forms exist and have specific functions, including small RNAs (sRNA), RNA thermometers, and riboswitches to regulate core metabolic pathways, bacterial pathogenesis, iron homeostasis, quorum sensing, and biofilm formation. All of these functions, and more, are presented in Regulating with RNA in Bacteria and Archaea, written by RNA biologists from around the globe. Divided into eight sections--RNases and Helicases, Cis-Acting RNAs, Cis Encoded Base Pairing RNAs, Trans-Encoded Base Pairing RNAs, Protein Titration and Scaffolding, General Considerations, Emerging Topics, and Resources--this book serves as an excellent resource for established RNA biologists and for the many scientists who are studying regulated cellular systems. It is no longer a fair assumption that gene expression regulation is the provenance of proteins only or that control is exerted primarily at the level of transcription. This book makes clear that regulatory RNAs are key partners along with proteins in controlling the complex interactions and pathways found within prokaryotes.
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Biopolymers are endowed with excellent attributes such as biodegradability, biocompatibility and functional versatility, which render them an edge over other polymers. Today, they find broad applications in the biomedical field and pharmaceutical world. Nanotechnology has offered tremendous opportunities to design and tailor-make biopolymers augmenting their applications further. This book presents topical articles on the synthesis and applications of biopolymers, biopolymer nanoparticles and nanocomposites. The book includes chapters on conducting polymers, vegetable oils, chitosan and cellulose based polyurethanes, polymeric hydrogels, biopolymeric nanoparticles and nanocomposites, and their applications as drug carriers and sensors in cancer therapy and others. This book would be useful for students, scholars, and scientists interested in the synthesis, biomedical and pharmaceutical applications of biopolymers and their nanocomposites.
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.
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today's knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
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