NDLI: Electroencephalograph (EEG) signal processing method of motor imaginary potential for attention level classification

Content Provider	IEEE Xplore Digital Library
Author	Dong Ming Youyuan Xi Mingming Zhang Hongzhi Qi Longlong Cheng Baikun Wan Liyong Li
Copyright Year	2009
Description	Author affiliation: Department of Rehabilitation, General Hospital of Tianjin Medical University, Tianjin 300072, P. R. China (Liyong Li) \|\| Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, P. R. China (Dong Ming; Youyuan Xi; Mingming Zhang; Hongzhi Qi; Longlong Cheng; Baikun Wan)
Abstract	Research of visual attention is one of the important domains of psychology and neurophysiology. In this study, an attention related electroencephalograph (EEG) signal processing method was proposed to distinguish the different levels of people’s attention during the imaginary limbs motor. There were two EEG feedback experiments (playing tennis and walking) to measure the different levels of visual attention. Three imaginary motor tasks (attention, inattention, and rest task) were performed with the flash stimulus displayed on the screen in the experiments. A nonlinear dynamics parameter of multi-scale entropy (MSE) was extracted from those EEG data recorded. According to the statistics analysis of 14 subjects, there was an obvious declining tendency of MSE with the level of attention declining, which validated the effectiveness of the proposed method to classify the visual attention level.
Starting Page	4347
Ending Page	4351
File Size	436860
Page Count	5
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332743
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Signal processing Entropy Signal analysis Biological systems Frequency Biomedical engineering Biomedical signal processing Data mining Data analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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