نتایج جستجو برای: eeg signal segmentation

تعداد نتایج: 509182  

2017
Daniel Golkowski Andreas Ranft Tobias Kiel Valentin Riedl Philipp Kohl Guido Rohrer Joachim Pientka Sebastian Berger Christine Preibisch Claus Zimmer George A Mashour Gerhard Schneider Eberhard F Kochs Rüdiger Ilg Denis Jordan

INTRODUCTION Changes in neural activity induce changes in functional magnetic resonance (fMRI) blood oxygenation level dependent (BOLD) signal. Commonly, increases in BOLD signal are ascribed to cellular excitation. OBJECTIVE The relationship between electrical activity and BOLD signal in the human brain was probed on the basis of burst suppression EEG. This condition includes two distinct st...

2017
Guotao Liu Yanping Zhang Zhenghui Hu Xiuquan Du Wanqing Wu Chenchu Xu Xiangyang Wang Shuo Li

In this study, a new combination scheme has been proposed for detecting Parkinson's disease (PD) from electroencephalogram (EEG) signal recorded from normal subjects and PD patients. The scheme is based on discrete wavelet transform (DWT), sample entropy (SampEn), and the three-way decision model in analysis of EEG signal. The EEG signal is noisy and nonstationary, and, as a consequence, it bec...

2012
C. F. Cai

In this paper, the normalized prediction error of the electroencephalogram (EEG) signal recorded at five different mental tasks was computed. The results indicate that there exists predictability in the EEG signal beyond the baseline prediction of the mean and the one-stepahead normalized prediction error of EEG signal vary greatly when different mental tasks are implemented, which implies that...

2016
Xuebin Qin Jun Deng Mei Wang Yizhe Zhang Pai Wang

The electroencephalogram (EEG) is a record of brain activity. Brain Computer Interface (BCI) technology formed by the EEG signal has become one of the hotspots at present. How to extract the feature signal of EEG is the most basic research of BCI technology. In this paper, A new method of recognizing fatigue, conscious, concentrated state of human brain is proposed by the combination of discret...

Journal: :Bulletin of Siberian Medicine 2013

Journal: :Journal of Physics: Conference Series 2021

Journal: :IEEE Transactions on Industrial Informatics 2022

Electroencephalogram (EEG) signal classification is used in many applications. Typically, this implemented based on methods which consist of two steps. These steps are known as the step preprocessing and classification. The transforms initial into attributes. According to several studies, transformation can result loss some useful information and, consequently, formed attributes uncertain. This...

Journal: :International Journal of Research in Engineering and Technology 2018

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