Finding neural signatures for obesity using source-localized EEG features. (arXiv:2208.14007v1 [cs.LG])

Obesity is a serious issue in the modern society since it associates to a
significantly reduced quality of life. Current research conducted to explore
the obesity-related neurological evidences using electroencephalography (EEG)
data are limited to traditional approaches. In this study, we developed a novel
machine learning model to identify brain networks of obese females using alpha
band functional connectivity features derived from EEG data. An overall
classification accuracy of 90% is achieved. Our finding suggests that the obese
brain is …

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