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Design of a novel biomedical signal processing and analysis tool for functional neuroimaging

机译:新型功能性神经影像生物医学信号处理与分析工具的设计

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摘要

In this paper, a MATLAB-based graphical user interface (GUI) software tool for general biomedical signal processing and analysis of functional neuroimaging data is introduced. Specifically, electroencephalography (EEG) and electrocardiography (ECG) signals can be processed and analyzed by the developed tool, which incorporates commonly used temporal and frequency analysis methods. In addition to common methods, the tool also provides non-linear chaos analysis with Lyapunov exponents and entropies; multivariate analysis with principal and independent component analyses; and pattern classification with discriminant analysis. This tool can also be utilized for training in biomedical engineering education. This easy-to-use and easy-to-learn, intuitive tool is described in detail in this paper. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
机译:本文介绍了一种用于一般生物医学信号处理和功能性神经影像数据分析的基于MATLAB的图形用户界面(GUI)软件工具。特别是,脑电图(EEG)和心电图(ECG)信号可以通过开发的工具进行处理和分析,该工具结合了常用的时间和频率分析方法。除了常用的方法外,该工具还提供具有Lyapunov指数和熵的非线性混沌分析。具有主成分和独立成分分析的多元分析;和判别分析进行模式分类。该工具也可以用于生物医学工程教育的培训。本文详细介绍了这种易于使用和易于学习的直观工具。 (C)2015 Elsevier Ireland Ltd.保留所有权利。

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