Biomedical Signal and Image Processing for Clinical Decision Support Systems

Biomedical Signal and Image Processing for Clinical Decision Support Systems 2014

1Department of Computational Medicine and Bioinformatics and Department of Emergency Medicine, Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA 2Department of Emergency Medicine, Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA 3Department of Electrical and Computer Engineering, McMaster Un...

Biomedical Signal and Image Processing for Decision Support in Heart Failure

Signal and imaging investigations are currently a basic step of the diagnostic, prognostic and follow-up processes of heart diseases. Besides, the need of a more efficient, cost-effective and personalized care has lead nowadays to a renaissance of clinical decision support systems (CDSS). The purpose of this paper is to present an effective way to achieve a high-level integration of signal and ...

Biomedical Signal-Image Processing and Modelling

Biomedical Signal and Image Processing (BSIP) constitutes a major field of interest for both educational aspects and in research environment in Biomedical Engineering (BME). In fact, the physiological knowledge improvement in a wide variety of innovative research, as well as the implementation in many clinical procedures, make use extensively of these concepts in more or less sophisticated medi...

Review of biomedical signal and image processing

This article is a review of the book “Biomedical Signal and Image Processing” by Kayvan Najarian and Robert Splinter, which is published by CRC Press, Taylor & Francis Group. It will evaluate the contents of the book and discuss its suitability as a textbook, while mentioning highlights of the book, and providing comparison with other textbooks.

Biomedical Image Signal Processing for Reflection-Based Imaging