This rhythm is very useful in neurofeedback trapy for treatment of stress, depression, headache, ADHD and etc. In this paper we have used FFT function as a powerful tool in spectral analysis of EEG signals, for detection of alpha rhythm in subjects with open and closed eyes. Results have...
Seizure prediction with cross-higher-order spectral analysis of EEG signalsCross-bispectrumCross-HOSEEGSeizureSupport vector machineAddressEpilepsy is a neurological disorder that happens because of the propagation of abnormal signals produced by clusters of neurons in the brain. The majority of those ...
Power spectral analysis is a traditional method used for EEG analysing. In this paper, Welch method was used to process the signals obtained from a carefully designed acupuncture experiment. The main objective of this work is to find the effect of acupuncture on brain. A protocol composed of th...
AR spectral analysis of EEG signals by using maximum likelihood estimation In this study, EEG signals were analyzed using autoregressive (AR) method. Parameters in AR method were realized by using maximum likelihood estimation (ML... İnan Güler,MK Kiymik,M Akin,... - 《Computers in ...
It was determined that the AR approach is better for the use in clinical and research areas, because of the clear spectra that are obtained by it. 展开 关键词: periodogram spectral analysis EEG DOI: 10.1023/A:1005553931564 被引量: 93 ...
EEG yields non-stationary,stochastic signals.Correct representation of the fea tures of is frequencycharacteristics by enhancing the accuracy of spectral a... Wu Qiyao - 《北京理工大学学报:自然科学版》 被引量: 5发表: 1995年 基于现代信号处理的谱分析方法研究 Ensemble Empirical Mode Decomposition(集合...
Bablu Lal Rajak, Meena Gupta, Dinesh Bhatia, Arun Mukherjee, Sudip Paul, Tapas Kumar Sinha. Power Spectrum Density Analysis of EEG Signals in Spastic Cerebral Palsy Patients by Inducing r-TMS Therapy.Journal of Biomedical Engineering and Technology. 2016; 4(1):7-11. doi: 10.12691/jbet-4-1...
This paper presents the initial studies of spectral analysis of the electroencephalogram signals for emotion recognition. Two-dimensional emotion model of valence and arousal is used to represent emotion, which is advantageous in quantifying the emotion. Ninety photographs, categorized into high valence-hi...
Sleep Stages Clustering Using Time and Spectral Features of EEG SignalsSleep stage classification is a highly addressed issue in polysomnography; It is considered a tedious and time-consuming task if done manually by the specialist; therefore, from the engineering point...
Parametric bispectral estimation of EEG signals in different functional states of the brain Higher-order statistics is applied to the analysis of electroencephalogram (EEG) in order to investigate the non-Gaussianility and nonlinearity of EEG sign... M Shen,FHY Chan,L Sun,... - International Conf...