Pervasive Computing Technologies for Healthcare PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Pervasive Computing Technologies for Healthcare PDF full book. Access full book title Pervasive Computing Technologies for Healthcare by Hadas Lewy. Download full books in PDF and EPUB format.
Author: Hadas Lewy Publisher: Springer Nature ISBN: 3030991946 Category : Medical Languages : en Pages : 574
Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 full and 7 short papers were selected from 74 submissions and are organized in 3 main tracks: hospitality and community care, homecare and medical education. The COVID 19 pandemic was challenging all dimensions of Pervasive Health (PH) and traditional ways of monitoring, diagnosing, treating and communicating changed dramatically.
Author: Hadas Lewy Publisher: Springer Nature ISBN: 3030991946 Category : Medical Languages : en Pages : 574
Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 28 full and 7 short papers were selected from 74 submissions and are organized in 3 main tracks: hospitality and community care, homecare and medical education. The COVID 19 pandemic was challenging all dimensions of Pervasive Health (PH) and traditional ways of monitoring, diagnosing, treating and communicating changed dramatically.
Author: Sébastien Marcel Publisher: Springer Nature ISBN: 9811952884 Category : Computers Languages : en Pages : 595
Book Description
The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous editions, this thoroughly updated third edition has been considerably revised to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering recent technologies like Vision Transformers, and review of competition series; examines methods for PAD in iris recognition systems, the use of pupil size measurement or multiple spectra for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as recent progress on detection of 3D facial masks and the use of multiple spectra with Deep Neural Networks; presents an analysis of PAD for automatic speaker recognition (ASV), including a study of the generalization to unseen attacks; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and face anti-spoofing; provides analyses of PAD in finger-vein recognition, in signature biometrics, and in mobile biometrics; includes coverage of international standards in PAD and legal aspects of image manipulations like morphing.This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics. This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.
Author: Amit Kumar Singh Publisher: Elsevier ISBN: 0443132348 Category : Computers Languages : en Pages : 444
Book Description
Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, x-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI. Another typical source of variability is the existence of data from different time points, such as pre and post treatment, for instance. These large and highly diverse amounts of information need to be organized and mined in an appropriate way so that meaningful information can be extracted. New multimodal data fusion techniques are able to combine salient information into one single source to ensure better diagnostic accuracy and assessment. Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. This book can be used as a reference for practicing engineers, scientists, and researchers. It will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications. - Presents broad coverage of applied case studies using data fusion techniques to mine, organize, and interpret medical data - Investigates how data fusion techniques offer a new solution for dealing with massive amounts of medical data coming from diverse sources and multiple formats - Focuses on identifying challenges, solutions, and new directions that will be useful for graduate students, researchers, and practitioners from government, academia, industry, and healthcare
Author: Madhusudan Singh Publisher: Springer Nature ISBN: 3030684520 Category : Computers Languages : en Pages : 449
Book Description
The two-volume set LNCS 12615 + 12616 constitutes the refereed proceedings of the 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020, which took place in Daegu, South Korea, during November 24-26, 2020. The 75 full and 18 short papers included in these proceedings were carefully reviewed and selected from a total of 185 submissions. The papers were organized in topical sections named: cognitive modeling and systems; biomedical signal processing and complex problem solving; natural language, speech, voice and study; algorithms and related applications; crowd sourcing and information analysis; intelligent usability and test system; assistive living; image processing and deep learning; and human-centered AI applications.
Author: Aythami Morales Publisher: Springer Nature ISBN: 3030313212 Category : Computers Languages : en Pages : 548
Book Description
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.
Author: Shai Avidan Publisher: Springer Nature ISBN: 3031197755 Category : Computers Languages : en Pages : 813
Book Description
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author: Saeid Sanei Publisher: John Wiley & Sons ISBN: 111939001X Category : Technology & Engineering Languages : en Pages : 467
Book Description
A complete guide to the state of the art theoretical and manufacturing developments of body sensor network, design, and algorithms In Body Sensor Networking, Design, and Algorithms, professionals in the field of Biomedical Engineering and e-health get an in-depth look at advancements, changes, and developments. When it comes to advances in the industry, the text looks at cooperative networks, noninvasive and implantable sensor microelectronics, wireless sensor networks, platforms, and optimization—to name a few. Each chapter provides essential information needed to understand the current landscape of technology and mechanical developments. It covers subjects including Physiological Sensors, Sleep Stage Classification, Contactless Monitoring, and much more. Among the many topics covered, the text also includes additions such as: Over 120 figures, charts, and tables to assist with the understanding of complex topics Design examples and detailed experimental works A companion website featuring MATLAB and selected data sets Additionally, readers will learn about wearable and implantable devices, invasive and noninvasive monitoring, biocompatibility, and the tools and platforms for long-term, low-power deployment of wireless communications. It’s an essential resource for understanding the applications and practical implementation of BSN when it comes to elderly care, how to manage patients with chronic illnesses and diseases, and use cases for rehabilitation.
Author: Hadas Lewy
Author: Hadas Lewy
Author: M. Shamim Hossain
Author: Sébastien Marcel
Author: Amit Kumar Singh
Author: Hiram Ponce
Author: Madhusudan Singh
Author: Aythami Morales
Author: Liting Wang
Author: Shai Avidan
Author: Saeid Sanei