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Emotion recognition using EEG signals has become a hot research topic in the last few years. This paper aims at providing a novel method for emotion recognition using less channels of frontal EEG signals. By employing the asymmetry theory of frontal brain, a new method fusing spatial and frequency features was presented, which only adopted two channels of frontal EEG signals at Fp1 and Fp2. In order...
Recently, Electroencephalogram (EEG) has become increasingly important in the role of psychiatric diagnosis and emotion recognition. However, many irrelevant features make it difficult to identify patterns accurately. Obtaining valid features from electroencephalogram can improve the classification and generalization performance. In this paper, an improved normalized mutual information feature selection...
It has been reported that chronic heroin intake induces both structural and functional changes in human brain; however, few studies have investigated the carry-over adverse effects on brain after heroin withdrawal. In this paper, we examined the neurophysiological differences between the abstinent heroin addicts (AHAs) and healthy controls (HCs) using nonlinear dynamic analysis and source localization...
It has been reported that chronic heroin intake induces changes in central nervous system of human brain; however, few studies investigate the carry-over adverse effects on brain after heroin withdrawal. In this work we examined the alpha rhythms of resting-state Electroencephalogram (EEG) signals to measure the neuroelectrical differences between the heroin addicts after heroin withdrawal and normal...
During the circuit breaker operating process, the of acoustic signal changing contains its machinery state information. Circuit breaker has complex structure, the fault occurrence and development lead to acoustic signal having a unsteady state of the complex characteristics. The paper puts forward a circuit breaker state diagnosis method based on bispectrum and Hilbert-Huang transform. Basing on the...
Smart homes have been proposed for senior citizens aiming to improve their quality of life. In order to monitor the seniors ' sleep condition in smart homes to protect them from sleep disorder, an automatic sleep staging system is necessary. Furthermore, measure selection is a crucial step in an automatic sleep staging system. In this paper, we present three advanced combination schemes among 15 sleep...
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