NDLI: Biomedical Signal and Image Processing

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Biosensors, Medical Imaging, and Biology for Engineers [review of 3-D Cell-Based Biosensors in Drug Discovery Programs: Microtissue Engineering for High Throughput Screening (Kisaalita, W. S.; 2010)] [Book Reviews]

Medical Imaging: Principles, Detectors, and Electronics (Iniewski, K., Ed.; 2009) [Book Reviews]

Biology for Engineers (Johnson, A.T.; 2011) [Book Reviews]

Second AMA-IEEE Medical Technology Conference on Healthcare

EMBC 2011

Issue 2

Issue 1

Year : 2010 Volume : 1

Biomedical Signal and Image Processing

Content Provider	IEEE Xplore Digital Library
Author	Cerutti, S. Baselli, G. Bianchi, A.M. Caiani, E. Contini, D. Cubeddu, R. Dercole, F. Rienzo, L.D. Liberati, D. Mainardi, L. Ravazzani, P. Rinaldi, S. Signorini, M.G. Torricelli, A.
Copyright Year	2010
Abstract	Biological signal and image processing (BSIP) constitutes a major field of interest in both educational aspects and research environments in biomedical engineering. In fact, the physiological knowledge improvement in a wide variety of innovative research as well as the implementation in many clinical procedures extensively makes use of these concepts in more or less sophisticated medical applications. In this article, the important links between BSIP and physiological modeling and their important derived synergies are particularly stressed. In support of this aim, examples have been provided in the areas of cardiovascular system studies, as well as in neurosciences and functional imaging, by using different modalities. Along this direction, the integration operation of the detected information between multiple signals, organs, modalities, and across multiple scales (from gene/protein levels up to cell and organ levels) seems to be extremely promising. Further, advanced methods in the area of information treatment, such as time-frequency and time-variant approaches, have been investigated in the biomedical field together with the complexity measurements, most often carried out through nonlinear dynamical approaches where, also in this context, the integration between modeling and information processing plays a fundamental role. Finally, a few examples have been described in which the study of EMFs, in the form of signals and images properly detected, have a relevant impact on various biomedical applications.
Page Count	14
File Size	3709476
Starting Page	41
Ending Page	54
File Format	PDF
ISSN	21542287
Volume Number	2
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Biological system modeling Analytical models Biomedical image processing Biomedical monitoring Data models
Content Type	Text
Resource Type	Article
Subject	Medicine Biomedical Engineering

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