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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ngoc Quang Nguyen Quang Dang Khoa Truong Kondo, T. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Tokyo, Japan (Ngoc Quang Nguyen; Quang Dang Khoa Truong; Kondo, T.) |
| Abstract | Chaos and fractal dimension are emerging modalities for the research of electroencephalogram (EEG) signal processing. The capability of measuring non-linear characteristics of the fractal dimension enables new methodologies to identify distinct brain activities. Recent studies on the topic focus on utilizing various types of fractals as features in order to design better brain state classification system. However, we have little insight about the EEG signals projected in fractal dimension. In this paper, we investigate the relationship between the non-linear characteristics of ongoing EEG signals and event-related desynchronization (ERD) during motor imagery. We observed a considerable synchronization between ERD and fractal dimension. This finding suggests further usage of chaos and fractal theory in investigating brain activities. |
| Starting Page | 4146 |
| Ending Page | 4149 |
| File Size | 905394 |
| Page Count | 4 |
| File Format | |
| ISSN | 1557170X |
| e-ISBN | 9781424492718 |
| DOI | 10.1109/EMBC.2015.7319307 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-25 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fractals Electroencephalography Time-frequency analysis Brain Synchronization Complexity theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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