Download Free Medical Biometrics Computerized Tcm Data Analysis Book in PDF and EPUB Free Download. You can read online Medical Biometrics Computerized Tcm Data Analysis and write the review.

The introduction of traditional Chinese medicine (TCM) through modern information technology will not only achieve the objective progress of the heritage of thousands of years of TCM, but also deliver novel discoveries for modern medicines.This book is an advanced monograph based on a decade's worth of research work by the authors. After a brief introduction on the four diagnosis approaches in TCM, this book delves into the three main TCM data analysis techniques: computerized tongue, pulse and odor analysis.Both graduate students and researchers in computerized TCM data analysis will benefit from the book as it will provide a comprehensive understanding of the state-of-the-art analysis methods, image / signal acquisition devices, and the related feature extraction and classification methods.
This book provides a comprehensive summary on the ten years of research work by the authors in the field of computerized TCM data analysis. The book first presents a general introduction to computerized TCM data analysis (CTDA), and then briefly introduces the essential background on signal/image processing and pattern recognition. After that, this book looks into three main TCM data analysis technologies: computerized tongue analysis, computerized pulse analysis, and computerized odor analysis. Finally, conclusion and remarks are provided to give the authors' perspectives on ongoing and future research.
What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications — facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features — are identified.The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.
This book constitutes the refereed proceedings of the First International Conference on Medical Biometrics, ICMB 2008, held in Hong Kong, China. The 17 revised full papers and 23 revised poster papers were carefully reviewed and selected from numerous submissions. Medical biometrics is emerging as a very promising and reliable method for automated medical diagnosis. It integrates multidisciplinary technologies in biology, medicine, electronics, computing, and statistics.
Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
Nurses are key to building effective teams in primary care, but it has proved difficult to develop 'teams' in a service based on a small-business model. Current organisational arrangements fragment the different clinical professionals into tribes who have different employers and managers. This book brings together the work of pioneers in the field, to provide models for the future. As the need to define the primary care team becomes more urgent, this book is essential reading for all nursing professionals in primary care, nursing management, general practitioners, and primary care leaders at health authorities and Primary Care Organisations. 'The authors present an understanding of the context within which change is taking place, the elements to be addressed in the change process and a challenge for the future direction and pace of change.' From the Foreword by Marion Bull, Chief Nursing Officer, Welsh Office
Annotation This volume constitutes the refereed proceedings of the Second International Conference on Medical Biometrics, ICMB 2010, held in Hong Kong, China, in June 2010.
An authoritative survey of intelligent fingerprint-recognition concepts, technology, and systems is given. Editors and contributors are the leading researchers and applied R&D developers of this personal identification (biometric security) topic and technology. Biometrics and pattern recognition researchers and professionals will find the book an indispensable resource for current knowledge and technology in the field.
This new edition's CD-ROM now has both the source code, and a graphic interface to make it easier to use.