about
Data selection in EEG signals classification.Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan.EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity.Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.Identification of motor imagery tasks through CC-LR algorithm in brain computer interface.Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm.Real-time depth of anaesthesia assessment using strong analytical signal transform technique.Measuring and reflecting depth of anesthesia using wavelet and power spectral density.Clustering technique-based least square support vector machine for EEG signal classification.Measuring the hypnotic depth of anaesthesia based on the EEG signal using combined wavelet transform, eigenvector and normalisation techniques.Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal.Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals.Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling.A systematic study of head tissue inhomogeneity and anisotropy on EEG forward problem computing.An improved detrended moving-average method for monitoring the depth of anesthesia.Theoretical basis for identification of different anesthetic states based on routinely recorded EEG during operation.Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface.Classifying epileptic EEG signals with delay permutation entropy and Multi-Scale K-means.Constructing head models by computation.Effects of local tissue conductivity on spherical and realistic head models.Design of high-performance networked real-time control systemsNumeric Investigation of Brain Tumor Influence on the Current Distributions During Transcranial Direct Current StimulationA feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
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description
informaticus
@nl
researcher ORCID: 0000-0002-4694-4926
@en
name
Yan Li
@ast
Yan Li
@de
Yan Li
@en
Yan Li
@es
Yan Li
@nl
Yan Li
@sl
type
label
Yan Li
@ast
Yan Li
@de
Yan Li
@en
Yan Li
@es
Yan Li
@nl
Yan Li
@sl
prefLabel
Yan Li
@ast
Yan Li
@de
Yan Li
@en
Yan Li
@es
Yan Li
@nl
Yan Li
@sl
P227
P244
P1153
36079350400
P21
P214
107150747052916302561
P227
1012198898
P244
n2017187923
P2456
P31
P496
0000-0002-4694-4926
P569
2000-01-01T00:00:00Z
P735
P7859
lccn-n2017187923