基于独立分量分析(ICA)的实时脑电数据处理

2022 14th International Conference on Communications (COMM) Pub Date : 2022-06-16 DOI:10.1109/comm54429.2022.9817209

L. Tuta, G. Roșu, Cristina Popovici, I. Nicolaescu

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引用次数: 1

摘要

提出了一种多通道脑电图信号实时处理系统。处理算法基于独立分量分析。该算法首先进行了离线测试和模拟，以进行功能和性能验证。在此基础上，建立了Simulink离散实时设计模型。最后，我们讨论了一些系统的限制，以及将设计的Simulink模型转换为实时处理系统的几种选择。

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Real- Time EEG Data Processing Using Independent Component Analysis (ICA)

The paper proposes a real-time processing system for multichannel electroencephalogram (EEG) signals. The processing algorithm is based on independent component analysis. The algorithm is initially tested and simulated offline for functionality and performance verification. A Simulink discrete real-time design is then modeled based on the processing algorithm. Finally, we discuss some of the systems limitations as well as several options for translating the designed Simulink model to a real-time processing system.

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来源期刊

2022 14th International Conference on Communications (COMM)

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