Implementation of Phase-tagged SSVEP-based BCI using Comb Filter
碩士 === 國立中央大學 === 電機工程研究所碩士在職專班 === 98 === This thesis mainly designs as a brain computer interface (BCI) system for electroencephalogram (EEG) of steady state visual evoked potential (SSVEP). Since users gaze at different spatially separated flash channels (FCs) in order to induce visual evoked sig...
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ndltd-TW-098NCU054410032016-04-20T04:17:48Z http://ndltd.ncl.edu.tw/handle/78899891124360931981 Implementation of Phase-tagged SSVEP-based BCI using Comb Filter 使用梳狀濾波器於相位編碼之穩態視覺誘發電位腦波人機介面 Chih-I Sun 孫智億 碩士 國立中央大學 電機工程研究所碩士在職專班 98 This thesis mainly designs as a brain computer interface (BCI) system for electroencephalogram (EEG) of steady state visual evoked potential (SSVEP). Since users gaze at different spatially separated flash channels (FCs) in order to induce visual evoked signals, the BCI provides four fixed frequency but different phase encoding in the flickering source. The Algorithm uses comb filter in the digital filter easy to implement, keep main frequency and harmonic, and can reduce noise. In order to recognize the command mapping to the gazed FC can be sent out to achieve control purposes, the current design uses event correlation to achieve identify distinct flickering sequences among different FCs. The implementation method is designed the analog EEG capture amplifier and micro control unit(MCU), in order to establish a low cost, small size and fast to recognize BCI system. In this thesis, we have built an four-FC system. The command information transfer ratio(ITR) and detected accuracy are 31.02 bits/min and 91.64%, respectively. Po-Lei Lee 李柏磊 2010 學位論文 ; thesis 57 zh-TW |
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碩士 === 國立中央大學 === 電機工程研究所碩士在職專班 === 98 === This thesis mainly designs as a brain computer interface (BCI) system for electroencephalogram (EEG) of steady state visual evoked potential (SSVEP). Since users gaze at different spatially separated flash channels (FCs) in order to induce visual evoked signals, the BCI provides four fixed frequency but different phase encoding in the flickering source. The Algorithm uses comb filter in the digital filter easy to implement, keep main frequency and harmonic, and can reduce noise. In order to recognize the command mapping to the gazed FC can be sent out to achieve control purposes, the current design uses event correlation to achieve identify distinct flickering sequences among different FCs. The implementation method is designed the analog EEG capture amplifier and micro control unit(MCU), in order to establish a low cost, small size and fast to recognize BCI system. In this thesis, we have built an four-FC system. The command information transfer ratio(ITR) and detected accuracy are 31.02 bits/min and 91.64%, respectively.
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Po-Lei Lee |
author_facet |
Po-Lei Lee Chih-I Sun 孫智億 |
author |
Chih-I Sun 孫智億 |
spellingShingle |
Chih-I Sun 孫智億 Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
author_sort |
Chih-I Sun |
title |
Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
title_short |
Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
title_full |
Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
title_fullStr |
Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
title_full_unstemmed |
Implementation of Phase-tagged SSVEP-based BCI using Comb Filter |
title_sort |
implementation of phase-tagged ssvep-based bci using comb filter |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/78899891124360931981 |
work_keys_str_mv |
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