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The regularity for change of human brain after consuming alcohol will be discussed in this paper. Four right-handed, no-smoking healthy subjects took part in the study. They were instructed to wear an EEG cap with 21 electrodes placed according to the international 10/20 system and drink. The EEG signal was recorded at the same time and then analyzed by using power spectral density(PSD) and system...
This work presents that, only using non-invasively captured brain signals, a person can navigate an electric wheelchair with no serious training for a long term. Only two electrodes are set on the scalp non-invasively to detect a P300 EEG signal and a reference signal. A simple signal processing interprets the measured signals to decide a movement direction of the wheelchair. The whole devices are...
Visual evaluation of long-term EEG recordings is very difficult, time consuming and subjective process. This paper aims to present the research and development of a comprehensive scheme for computer-assisted recognition of behavioral states of sleep in newborns. In clinical practice, the ratio of behavioral states (wakefulness, quiet and active sleep) is used as an important indicator of the brain...
The plethora of artifact rejection (AR) techniques proposed for removing electrooculographic (EOG) artifacts from electroencephalographic (EEG) signals can be separated into two main categories. The first category is composed of regression - based methods, while the second one consists of blind source separation (BSS) - methods. A major disadvantage of BSS-based methodology is that the artifactual...
This paper discusses a novel hybrid EEG biosensor module that measures through-hair EEG with zero preparation of the scalp. The biosensors can be donned or doffed quickly by the wearer, requiring no skin preparation, produce no skin irritation, and be comfortably worn for an extended period. The proposed EEG sensor is fabricated by the injection molding process with a flexible base and biofriendly...
We use local cosine packets to adaptively segment EEG corresponding to left or right hand index finger movements. The segmentation is constructed by maximizing the Euclidean or Kullback-Leibler distance criterion between the left and right finger movement. The proposed method divides the movement EEG from the C3 and C4 electrodes into nonuniform time segments over a dyadic tree. The most discriminative...
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