Calculation formula linear features.

<div><p>Resting-state electroencephalogram (EEG) microstate analysis resolves EEG signals into topographical maps representing discrete, sequential network activations. These maps can be used to identify patterns in EEGs that may be indicative of underlying neurological conditions. One s...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xiaoli Yang (314226) (author)
مؤلفون آخرون:	Zhipeng Fan (110971) (author), Zhenwei Li (834360) (author), Jiayi Zhou (2228527) (author)
منشور في:	2024
الموضوعات:	Medicine Neuroscience Biotechnology Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified underlying neurological conditions two feature sets sequential network activations regular feature set alzheimer &# 8217 8 &# 8211 microstate feature set healthy control group global microstate disorganization four different classifiers four classifiers obtains xlink "> resting average classification accuracy main frequency band eeg conventional features best classification effect microstate features classification accuracy microstate parameters main band classification results classification efficacy ad group ad classification state electroencephalogram results show raw eeg pass filtering openneuro eeg initially investigated independent database identify patterns effectively classify dependent variable 61 %, 22 %. 19 %. 13 hz
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Calculation formula linear features.

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