Coorbit Theory, Multi--Modulation Frames, and the Concept of Joint Sparsity for Medical Multichannel Data Analysis
Coorbit Theory, Multi--Modulation Frames, and the Concept of Joint Sparsity for Medical Multichannel Data Analysis
复制标题
DOI：
10.1155/2008/471601
复制
发表时间：
2008-11
影响因子：
1.9
通讯作者：
S. Dahlke;G. Teschke;K. Stingl
中科院分区：
文献类型：
--
作者：
S. Dahlke;G. Teschke;K. Stingl
本文研究医学多通道数据的分析与分解。我们提出了一种信号处理技术，可靠地检测和分离信号成分，如mMCG，fMCG，或MMG涉及的时空形态的多传感器几何形状的所谓的多通道超导量子干涉装置（SQUID）系统提供的数据。数学积木是共轨理论，多调制帧，和联合稀疏措施的概念。结合这些成分，我们最终得到了一个迭代过程（具有依赖于分量的投影操作），该过程提供了各个信号分量。
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.