Sep 24, 2012 � In this study, we showed that the increase in relative low beta power through NFT was highly significantly correlated with a decrease in wavelet�...
Sep 24, 2012 � Neurofeedback training (NFT) has an important role in improvement of cognitive functions in both clinical and healthy individuals.
Soft Boundary-based Neurofeedback Training procedure: A Method to Control EEG Signal Features during Neurofeedback Training Using Fuzzy Similarity Measures.
Variation of wavelet entropy in electroencephalogram signal during neurofeedback training. Ghoshuni, Majid; ;; Firoozabadi, Mohammad; ;; Khalilzadeh, Mohammad�...
Variation of wavelet entropy in electroencephalogram signal during neurofeedback training � Majid Ghoshuni, Mohammad Firoozabadi, Mohammad Ali Khalilzadeh�...
No information is available for this page. � Learn why
Apr 6, 2024 � Wavelet entropy can reflect the changes in the complexity of EEG signals during wake and different sleep stages in patients with insomnia disorder.
Missing: Variation neurofeedback training.
Variation of Wavelet Entropy in Electroencephalogram Signal during Neurofeedback Training ... In this study, variation of wavelet entropy during low beta�...
Sep 1, 2020 � A neurofeedback training method was proposed for learning how to control the EEG features during training. The subject is assessed using fuzzy similarity�...
Jun 14, 2021 � In this paper, we propose an improved random forest- (IRF-) algorithm-based attention monitoring and training method with closed-loop neurofeedback.