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Bibliografía

The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice.. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological computing. In addition the book contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications. *The worlds most recognized authorities give their best practices ready for implementation. *Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications. *Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

Índice: Chapter 1 Introduction. David Feng. 1.1 Background. 1.2 Current ITApplications in Hospital Environment (HIS, RIS, PACS, EPR, etc.). 1.3 Major Activities for IT in Biomedicine and. Chapter 2 Basic Anatomy, Biochemistry and Physiology. Michael Fulham, et al. (University of Sydney). 2.1 Human Cellular Organization. 2.2 Four Primary Types of Tissues. 2.3 Major Organ Systems. 2.4 Human Feedback Mechanisms and Homeostasis. Chapter 3 Medical and Medical Imaging Data Acquisition. Stefan Eberl, Roger Fulton, et al. 3.1 Types of Medical Data (including bio-signal ECG, EEG, and other bio-test data, and then introduc... Etc.