[HTML][HTML] Surrogate data for hypothesis testing of physical systems
G Lancaster, D Iatsenko, A Pidde, V Ticcinelli… - Physics Reports, 2018 - Elsevier
The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …
increasing, stimulating the development of many novel methods for the extraction of …
Phase transfer entropy: a novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions
We introduce here phase transfer entropy (Phase TE) as a measure of directed connectivity
among neuronal oscillations. Phase TE quantifies the transfer entropy between phase time …
among neuronal oscillations. Phase TE quantifies the transfer entropy between phase time …
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
Research on brain biometrics using electroencephalographic (EEG) signals has received
increasing attentions in recent years. In particular, it has been recognized that the brain …
increasing attentions in recent years. In particular, it has been recognized that the brain …
Differentiation of schizophrenia by combining the spatial EEG brain network patterns of rest and task P300
The P300 is regarded as a psychosis endophenotype of schizophrenia and a putative
biomarker of risk for schizophrenia. However, the brain activity (ie, P300 amplitude) during …
biomarker of risk for schizophrenia. However, the brain activity (ie, P300 amplitude) during …
Supervised network-based fuzzy learning of EEG signals for Alzheimer's disease identification
H Yu, X Lei, Z Song, C Liu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurate identification of Alzheimer's disease (AD) with electroencephalograph (EEG) is
crucial in the clinical diagnosis of neurological disorders. However, the effectiveness and …
crucial in the clinical diagnosis of neurological disorders. However, the effectiveness and …
Assessment of driving fatigue based on intra/inter-region phase synchronization
Driver fatigue has been under more attention as it is a main cause of traffic accidents. This
paper proposed a method which utilized the inter/intra-region phase synchronization and …
paper proposed a method which utilized the inter/intra-region phase synchronization and …
EEG-based multi-frequency band functional connectivity analysis and the application of spatio-temporal features in emotion recognition
Y Zhang, G Yan, W Chang, W Huang, Y Yuan - … Signal Processing and …, 2023 - Elsevier
The study of emotional states in brain-computer interface (BCI) has a wide range of
applications in psychiatry, psychology, et al. However, there is few novel feature extraction …
applications in psychiatry, psychology, et al. However, there is few novel feature extraction …
The time-varying networks in P300: a task-evoked EEG study
P300 is an important event-related potential that can be elicited by external visual, auditory,
and somatosensory stimuli. Various cognition-related brain functions (ie, attention …
and somatosensory stimuli. Various cognition-related brain functions (ie, attention …
Learning graph in graph convolutional neural networks for robust seizure prediction
Objective. Brain-computer interface (BCI) has demonstrated its effectiveness in epilepsy
treatment and control. In a BCI-aided epilepsy treatment system, therapic electrical stimulus …
treatment and control. In a BCI-aided epilepsy treatment system, therapic electrical stimulus …
Modulation effect of acupuncture on functional brain networks and classification of its manipulation with EEG signals
H Yu, X Li, X Lei, J Wang - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
Acupuncture manipulation is the key of Chinese medicine acupuncture therapy. In clinical
practice, different acupuncture manipulations are required to achieve different therapeutic …
practice, different acupuncture manipulations are required to achieve different therapeutic …