Resting-state EEG analysis system oriented to autism diagnosis
An analysis system, resting state technology, applied in the directions of diagnosis, diagnosis recording/measurement, pattern recognition in signals, etc., to achieve the effect of simple operation, superior performance and simple structure
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[0029] Such as figure 1 As shown, the resting-state EEG analysis system for autism diagnosis includes a data collection module, a data preprocessing module, and a feature extraction module. The analysis system collects data, preprocesses data, and extracts features, which is easy to operate, does not require professional training, and is very convenient to use. The data collection module adopts electroencephalography equipment to collect the brain signals of the participating experimenters when they open their eyes to rest; the data preprocessing module uses the open source toolbox eeglab13.0 based on MATLAB to analyze the resting state brain signals The data is subjected to noise reduction processing; the feature extraction module uses a pattern classification algorithm to perform a micro-state segmentation method on the resting-state EEG signal after preprocessing, and obtains four resting-state EEG micro-states, and extracts its features.
[0030] S1: Collect data
[0031...
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