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Engineering in Medicine and Biology Magazine, IEEE

Issue 2 • Date March-April 2006

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Displaying Results 1 - 25 of 32
  • Biomedical engineering in the Czech Republic

    Publication Year: 2006 , Page(s): 16 - 19
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  • Providing senior design students with a clinical perspective

    Publication Year: 2006 , Page(s): 20 - 21
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (161 KB)  

    This article aims to provide students with a clinical perspective of medical device design. This study shows that it is not only important for students to understand how medical devices are designed and function but how these devices are used by patients, physicians, surgeons, nurses, and physical therapists too. For implantable devices, this includes problems associated with the preparation, inse... View full abstract»

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  • The future appears to promise a more integrative approach to functional brain imaging.

    Publication Year: 2006 , Page(s): 26
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (41 KB) |  | HTML iconHTML  

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  • Spring cleaning and ethics in our backyard

    Publication Year: 2006 , Page(s): 4 - 5
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  • Advertisers' Index

    Publication Year: 2006 , Page(s): 136
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  • An analysis of IEEE publications

    Publication Year: 2006 , Page(s): 6 - 9
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (302 KB) |  | HTML iconHTML  

    This study reports on a few elements of the scientific production of the IEEE. Other features could be displayed that would be interesting for a better understanding of the trajectories of the societies, journals, etc. The possibility of projecting new data onto the current spaces allows researchers to see if journals are static (the concepts and methods remaining stable) or dynamic (evolutions, r... View full abstract»

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  • Using small numbers of subjects in fMRI-based research

    Publication Year: 2006 , Page(s): 52 - 59
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (371 KB) |  | HTML iconHTML  

    This article reviews a number of issues related to the special features and potentials associated with doing functional brain imaging experiments with one or a small number of subjects. It concludes with a speculation that, ironically, it may someday turn out that the information from a few brains, thoroughly studied, will reveal more about universal aspects of human brain function and organizatio... View full abstract»

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  • Exploratory analysis of brain connectivity with ICA

    Publication Year: 2006 , Page(s): 102 - 111
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1072 KB) |  | HTML iconHTML  

    Covariance-based methods of exploration of functional connectivity of the brain from functional magnetic resonance imaging (fMRI) experiments, such as principal component analysis (PCA) and structural equation modeling (SEM), require a priori knowledge such as an anatomical model to infer functional connectivity. In this research, a hybrid method, combining independent component analysis (ICA) and... View full abstract»

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  • A brief introduction to functional MRI

    Publication Year: 2006 , Page(s): 24 - 26
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (519 KB) |  | HTML iconHTML  

    IEEE Engineering in Medicine and Biology Magazine focuses on modern methods for the analysis of data from functional magnetic resonance imaging (fMRI) studies. Accordingly, the guest editors have seen fit to begin with a brief article on the history, mechanisms and methods behind fMRI. This is followed by the presentation of recent significant progress in paradigm design for fMRI as well as develo... View full abstract»

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  • Multivariate statistical analysis in fMRI

    Publication Year: 2006 , Page(s): 60 - 64
    Cited by:  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (285 KB) |  | HTML iconHTML  

    The paper briefly discussed different statistical analysis in functional magnetic resonance imaging (fMRI). Multivariate regression analysis with multiple comparisons corrections allows the determination of activated voxels that can then be grouped into regions of interest (ROIs). Principal component analysis (PCA) is useful in extracting common temporal response features of an ROI as well as diff... View full abstract»

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  • 2006 EMBS administrative committee

    Publication Year: 2006 , Page(s): 134
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  • Behind the scenes at EMBC '05

    Publication Year: 2006 , Page(s): 124 - 131
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  • Wide open window

    Publication Year: 2006 , Page(s): 22 - 23
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  • Unmixing fMRI with independent component analysis

    Publication Year: 2006 , Page(s): 79 - 90
    Cited by:  Papers (42)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2441 KB) |  | HTML iconHTML  

    Independent component analysis (ICA) is a statistical method used to discover hidden factors (sources or features) from a set of measurements or observed data such that the sources are maximally independent. Typically, it assumes a generative model where observations are assumed to be linear mixtures of independent sources and works with higher-order statistics to achieve independence. ICA has rec... View full abstract»

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  • IEEE Engineering in Medicine and Biology Magazine - Vol 25 No. 2

    Publication Year: 2006 , Page(s): 0_1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2006 , Page(s): 1 - 2
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    Freely Available from IEEE
  • New to the society news

    Publication Year: 2006 , Page(s): 10 - 11
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (138 KB) |  | HTML iconHTML  

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  • Hello from your new representative!

    Publication Year: 2006 , Page(s): 12 - 13
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  • Book reviews

    Publication Year: 2006 , Page(s): 14 - 15
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  • First Call for Papers Announcement

    Publication Year: 2006 , Page(s): 17 - 18
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    Freely Available from IEEE
  • Evaluating fMRI preprocessing pipelines

    Publication Year: 2006 , Page(s): 27 - 41
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (576 KB) |  | HTML iconHTML  

    This article reviews the evaluation and optimization of the preprocessing steps for blood-oxygenation-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). This technique indirectly measures changes in local neuronal firing rates by measuring associated changes in deoxy-hemoglobin concentrations in nearby blood vessels. Based on the existing literature, it is impossible to make conc... View full abstract»

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  • Modeling and inference of multisubject fMRI data

    Publication Year: 2006 , Page(s): 42 - 51
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (409 KB) |  | HTML iconHTML  

    This article reviews four commonly used approaches to group modeling in fMRI. The methods differ in their computational intensity (FSL with its two-level estimation including MCM being the most intense) and assumptions (SPM2 with its assumption of spatially homogeneous covariance Vg being most restrictive). This study also distinguishes fixed-effects models from mixed-effects models and... View full abstract»

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  • Surfing the brain

    Publication Year: 2006 , Page(s): 65 - 78
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1550 KB) |  | HTML iconHTML  

    In this paper, an overview with unification of techniques that deploy the wavelet transform in the spatial domain for the analysis of functional magnetic resonance imaging (fMRI) is presented. View full abstract»

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  • Increasing the effect size in event-related fMRI studies

    Publication Year: 2006 , Page(s): 91 - 101
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1989 KB) |  | HTML iconHTML  

    Independent component analysis (ICA) has proved to be a powerful method for exploratory analysis of functional magnetic resonance imaging (fMRI) data. It has been used to uncover unexpected activations in fMRI data derived from brain activation. ICA has been used to characterize other sources of variability in the fMRI signal besides task-related activity, as well as challenging some of the assump... View full abstract»

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  • fMRI neuroinformatics

    Publication Year: 2006 , Page(s): 112 - 119
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1743 KB) |  | HTML iconHTML  

    Functional magnetic resonance imaging (fMRI) generates vast amounts of data. The handling, processing, and analysis of fMRI data would be inconceivable without computer-based methods. fMRI neuroinformatics is concerned with research, development, and operation of these methods. Reconstruction, rudimentary analysis, and visualization tools are implemented in software controlling modern MRI scanners... View full abstract»

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Aims & Scope

IEEE Engineering in Medicine and Biology Magazine contains articles on current technologies and methods used in biomedical and clinical engineering.

 

This Magazine ceased publication in 2010. The current retitled publication is IEEE Pulse.

Full Aims & Scope