Open Access

Coorbit Theory, Multi- -Modulation Frames, and the Concept of Joint Sparsity for Medical Multichannel Data Analysis

EURASIP Journal on Advances in Signal Processing20082008:471601

Received: 30 November 2007

Accepted: 19 August 2008

Published: 11 November 2008


This paper is concerned with the analysis and decomposition of medical multichannel data. We present a signal processing technique that reliably detects and separates signal components such as mMCG, fMCG, or MMG by involving the spatiotemporal morphology of the data provided by the multisensor geometry of the so-called multichannel superconducting quantum interference device (SQUID) system. The mathematical building blocks are coorbit theory, multi- -modulation frames, and the concept of joint sparsity measures. Combining the ingredients, we end up with an iterative procedure (with component-dependent projection operations) that delivers the individual signal components.

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Authors’ Affiliations

FB 12 - Faculty of Mathematics and Computer Sciences, Philipps-University of Marburg
Institute for Computational Mathematics in Science and Technology, University of Applied Sciences Neubrandenburg
Zuse Institute Berlin
MEG-Center Tübingen


© Stephan Dahlke et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.