David Zhang Knihy

This genuinely pocket-sized guide to essential medical equipment is ideal for medical students, newly qualified junior doctors and other healthcare professionals seeking a convenient and concise handbook to refer to in busy clinical settings including emergency departments. Clear, concise and systematic, it provides a visual guide to enable readers to identify correctly common medical equipment and use it appropriately without overwhelming or extraneous information. Key Features: Providing guidance and answering questions when senior help is not readily available, with this book as your indispensable companion you will be equipped to identify and use equipment with confidence in order to provide safe and effective care for patients.

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.

This book explores key advancements in computerized facial beauty analysis, focusing on data-driven research and quantitative experiments. It aims to enhance practical facial beauty analysis by proposing more reliable and stable facial features, along with new models, methods, algorithms, and a beautification system. The text evaluates previous rules and models for facial beauty using computationally efficient mathematical approaches, particularly through large-scale database experiments. The first section provides an overview of facial beauty analysis, while the second presents foundational facial beauty features. The third section discusses hypotheses related to facial beauty, and the fourth defines data-driven analysis models. The authors conclude by detailing the implementation of their new facial beauty analysis system. Targeted at researchers, professionals, and postgraduate students in facial beauty analysis, computer vision, human-machine interfaces, pattern recognition, and biometrics, the content is also beneficial for those in interdisciplinary fields. The insights and methodologies offered are valuable for researchers, while the system design and implementation serve as practical models for engineers and practitioners.

The past decade has seen a rapid increase in the demand for behavioral and physiological characteristics in e-security and forensics. Significant advances in biometric techniques are now being applied in various fields, with medicine emerging as the most promising area. Medical biometrics involves using these characteristics for medical diagnosis and body care, aiming to address open problems in medicine through biometric technologies and systems. The International Conference on Medical Biometrics (ICMB 2008) marked a pivotal moment in this field, being the first major event dedicated to fostering collaboration between biometrics and medicine. The conference attracted numerous high-quality research papers, with 40 accepted for presentation—17 orally and 23 as posters. Additionally, a workshop on Computerized Traditional Chinese Medicine was held. Our efforts focus on raising awareness among researchers, organizing collaborative research, and providing a platform for discussion. This conference facilitated the exchange of practical experiences in applying advanced biometric technologies for medical diagnosis and care, further stimulating research in medical biometrics. We extend our gratitude to Max A. for his contributions to this endeavor.

This book constitutes the refereed proceedings of the International Conference on Biometrics, ICB 2006, held in Hong Kong, China in January 2006. The book includes 104 revised full papers covering such areas of biometrics as the face, fingerprint, iris, speech and signature, biometric fusion and performance evaluation, gait, keystrokes, and more. In addition the results of the Face Authentication Competition (FAC 2006) are also announced in this volume.

InhaltsverzeichnisFingerprint Verification Competition 2004.Face Authentication Competition 2004.Signature Verification Competition 2004.Face.Fingerprint.Iris.Signature.Speech.Biometric Fusion and Risk Analysis.Other Biometrics.

An integrated design approach to ANNs for pattern recognition applications, investigating three topics of the system design methodology, including several model definitions, architectural descriptions and hardware implementations. Following an overview, engineering applications of ANNs to fuzzy clustering, speech recognition, classification and pattern recognition are covered. Aimed at researchers and graduate engineers working in the area of VLSI circuit and system design, as well as for reference on senior undergraduate level courses on parallel neural computing and VLSI system applications, David Zhangs book will prove useful to understanding this new and exciting discipline.