Publications by authors named "Yi-Long Liou"

Article Synopsis
  • * The study involved 33 FES patients and 34 HCs performing verbal fluency tests, with their brain activity analyzed using support vector machine (SVM) and deep neural network (DNN) classifiers.
  • * The DNN classifier outperformed SVM with an accuracy of 79.7%, indicating that NIRS may be a promising tool for distinguishing FES patients from healthy individuals, though more research is needed to validate these findings.
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