Between three subtypes of ADHD,brain wave frequency of HI type was the slowest,of the.

Effect on Electroencephalogram in Cerebral Cortex of Epileptic Rat Induced by IL-1β or IL-6;

Multi-channel electroencephalogram(EEG) power spectrum is extracted for training continuous hidden Markov model(CHMM),and a novel approach to classify the mental fatigue levels is proposed based on power spectrum-CHMM.

The relation between scalp activity and cardiac automatic nervous system during a mental arithmetic(MA) task is explored with the power spectrum of electroencephalogram(EEG) and heart rate variability.

A Comparative Evaluation of Nonlinear Characteristics of EEG for Alcoholic and Normal People;

EEG Study on Transcutaneous Electrical Acupoint Stimulation as a Fatigue Countermeasure.;

Objective To investigate the relationship between mental fatigue and power spectrum features of electroencephalogram(EEG)in order to find feasible objective indexes for analyzing mental fatigue level.

To investigate the characters of the electroencephalogram(EEG) for fatigued drivers,the situation of fatigue driving was simulated using a car simulator,the EEG for the driver was recorded by an EEG recording instrument,and the EEG data and waves obtained.

This platform applies the patient s motor imagery electroencephalogram(EEG) as the control signal in order to combine motor imagery with recovery training of motion function.

Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).

Functions of nonlinear parameters, computed from electroencephalography (EEG) signals, in mental tasks classification were investigated, where the largest Lyapunov exponent, the mean period of trajectories and the average initial distance between neighboring trajectories were taken as the nonlinear parameters, and Fisher s linear discriminant was adopted as the classifier.

[Methods] After extracting the features of electroencephalogram (EEG), a BP neural network of three layers BP was designed.

In order to develop a novel electroencephalogram (EEG) diagnostic method for Alzheimer′s dementia(AD), the EEG power spectrum distributions of AD patients and healthy old people are compared.

To separate the electroencephalogram (EEG) measured on the scalp into the parts generated by deep and shallow electrical sources respectively is a subject of importance both theoretically and clinically, because we can then find in more detail the electrical activities in the deep parts of the brian.