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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Iqbal, M. Zabihi, M. Rafsanjani, H.B. Touyama, H. |
| Copyright Year | 2011 |
| Description | Author affiliation: Young Researchers Club, Dept. of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, I.R. Iran (Iqbal, M.; Rafsanjani, H.B.) || Dept. of Biomedical Engineering, Tampere University of Technology, Tampere, Finland (Zabihi, M.) || Dept. of Information System Engineering, Toyama Prefectural University, Toyama, Japan (Touyama, H.) |
| Abstract | The role of Working Memory (WM) as a notable characteristic in mental abilities and diagnosis of brain diseases have been survived widely in recent years. WM manipulates information for a short time and dose multi-task. In this paper, the significant factors of WM have been extracted by wavelet coefficients from EEG signals. 12 pictures were shown to subjects randomly and asked them to review these pictures in order to focus on WM task. The analysis is concentrated on the differences between EEG signals of the WM task and those of the rest mood, by means of the Repeated Measures ANOVA. The results show significant reduction in standard deviation of some wavelet coefficients in WM task in contrast with rest mood. Also importance of alpha (8–12Hz) and theta (4–8Hz) oscillations which matches with pervious related studies outcome is shown. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1194066 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457702921 |
| e-ISBN | 9786065440784 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-24 |
| Publisher Place | Romania |
| Access Restriction | Subscribed |
| Rights Holder | GR T Popa University |
| Subject Keyword | Working Memory Mood Wavelet Coefficients EEG Electroencephalography Repeated Measures ANOVA Analysis of variance Biological neural networks Oscillators Wavelet coefficients Biomedical engineering |
| Content Type | Text |
| Resource Type | Article |
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