Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


wright1176482808.pdf (585.5 KB)

ETD Abstract Container

Abstract Header

OPTIMAL EEG CHANNELS AND RHYTHM SELECTION FOR TASK CLASSIFICATION

Adikarapatti, Vikramvarun Kannan
http://rave.ohiolink.edu/etdc/view?acc_num=wright1176482808

Abstract Details

2007, Master of Science in Engineering (MSEgr), Wright State University, Biomedical Engineering.
The Primary Objective of this research is to implement an automatic method for selecting the most optimal EEG channels for task classification purposes. The secondary objective of this research is to choose the most optimal EEG rhythm from which the optimal EEG channels would be selected automatically. The automatic selection of the optimal channels is enabled by implementing the Common Spatial Patterns algorithm (CSP). Common spatial analysis is performed on the data recorded. By choosing the channels with high spatial pattern values the optimal channels are chosen. The optimal frequency bands are chosen by splitting the data from a single channel into different frequency bands such as the alpha, beta, theta and gamma bands and classifying the data obtained from each bands. The feature vector for a particular task is computed by application of the common spatial filter on the data recorded. A linear Fisher’s discriminant method is used for classification process. The entire data analysis for this project is done using MATLAB.
Ping He (Advisor)
82 p.
Engineering, Biomedical
EEG; sf; Optimal Channels; CSP; CHANNELS; CSP Method; Separability

Recommended Citations

Citations

  • Adikarapatti, V. K. (2007). OPTIMAL EEG CHANNELS AND RHYTHM SELECTION FOR TASK CLASSIFICATION [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1176482808

    APA Style (7th edition)

  • Adikarapatti, Vikramvarun. OPTIMAL EEG CHANNELS AND RHYTHM SELECTION FOR TASK CLASSIFICATION. 2007. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1176482808.

    MLA Style (8th edition)

  • Adikarapatti, Vikramvarun. "OPTIMAL EEG CHANNELS AND RHYTHM SELECTION FOR TASK CLASSIFICATION." Master's thesis, Wright State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1176482808

    Chicago Manual of Style (17th edition)

wright1176482808
3,802
© 2007, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.