An EEG annotation system facilitating brain disease research.

Youwen Zhao, Zhixiong Lin, Chenghua Wang, Jie Li,Zhihua Huang

2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)(2023)

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摘要
Clinical electroencephalography (EEG) plays a crucial role in the research, diagnosis and treatment of brain diseases. Accurate EEG annotations are particularly essential for these purposes. Existing EEG annotation tools are developed for specific research tasks, restricting their applicability. To address this issue, we have designed and developed a convenient and efficient system for EEG annotation. This system supports both channel-specific waveform annotation and channel-independent state annotation with real-time visualization effect. For these two types of annotation, we offer commonly used labels to meet the needs of diverse studies. Additionally, the system provides data conversion and preprocessing capability, various visualization settings and sample browsing functions, enhancing the user experience. The application of this system can accelerate the establishment of high-quality, multi-class annotation datasets and facilitate brain disease research.
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关键词
Electroencephalography (EEG),system design and implementation,EEG visualization and annotation,annotation labels
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