Using non-invasive EEG recordings, the features of EEG are extracted based on nonlinear combination among EEG four frequency components. The index of mental ...

Abstract—Non-invasive EEGs are very useful in human- machine integration development and medical diagnosis. Mental state, especially mental fatigue, ...

As a possible consequence, EEG was recommended as a non-invasive procedure to research cognitive behavior [19] and other illness depression, such as chronic ...

Sep 9, 2024 · EEG noninvasively measures brain electrophysiological activity and is used to diagnose neurological disorders, such as depression, bipolar ...

Sep 15, 2021 · This study showed that the synchronization values of EEG signals obtained by the CPR method were significantly different between aMCI and control group.

Nov 4, 2024 · EEG signal helps to provide communication for the handicapped person using Brain computer interface (BCI). The problem with the EEG signals is ...

Aug 25, 2024 · Electroencephalography (EEG) offers non-invasive, real-time mental workload assessment, which is crucial in high-stakes domains like aviation ...

Their experimental results show that combining non-linear approaches with the one capable of producing occipital activity can improve performance. Meng et al. [ ...

Abstract—This work aims to find discriminative EEG-based features and appropriate classification methods that can categorise brainwave patterns based on ...

Oct 22, 2024 · This paper focusses on the person identification problem based on features extracted from the ElectroEncephaloGram (EEG).