Download Bio-Science and Bio-Technology: International Conference, by Hui-Yi Liang, Ya-Ting Lee, Mei-Li You, Kun-Li Wen (auth.), PDF

By Hui-Yi Liang, Ya-Ting Lee, Mei-Li You, Kun-Li Wen (auth.), Dominik Ślęzak, Tughrul Arslan, Wai-Chi Fang, Xiaofeng Song, Tai-hoon Kim (eds.)

As destiny new release details expertise (FGIT) turns into really expert and fr- mented, one can lose sight that many issues in FGIT have universal threads and, due to this, advances in a single self-discipline should be transmitted to others. Presentation of modern effects bought in several disciplines encourages this interchange for the development of FGIT as an entire. Of specific curiosity are hybrid ideas that c- bine principles taken from a number of disciplines so as to in attaining whatever extra signi- cant than the sum of the person components. via such hybrid philosophy, a brand new precept will be came across, which has the propensity to propagate all through mul- faceted disciplines. FGIT 2009 used to be the 1st mega-conference that tried to keep on with the above inspiration of hybridization in FGIT in a kind of a number of occasions on the topic of specific disciplines of IT, performed by means of separate medical committees, yet coordinated with the intention to disclose an important contributions. It incorporated the next overseas meetings: complex software program Engineering and Its functions (ASEA), Bio-Science and Bio-Technology (BSBT), keep watch over and Automation (CA), Database thought and alertness (DTA), D- aster restoration and enterprise Continuity (DRBC; released independently), destiny G- eration verbal exchange and Networking (FGCN) that used to be mixed with complex conversation and Networking (ACN), Grid and dispensed Computing (GDC), M- timedia, special effects and Broadcasting (MulGraB), protection expertise (SecTech), sign Processing, snapshot Processing and trend reputation (SIP), and- and e-Service, technology and expertise (UNESST).

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Extra resources for Bio-Science and Bio-Technology: International Conference, BSBT 2009 Held as Part of the Future Generation Information Technology Conference, FGIT 2009 Jeju Island, Korea, December 10-12, 2009 Proceedings

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X(k) = M t c(k) (2) The column of a spectrogram corresponds to spectral slice which is a snapshot of the spectrum at time k. Each frame of the input spectrogram can be expressed as a weighted sum of ρ principle basis vectors, ei . The basis vectors remains constant but their weighted sum reconstructs a spectrogram frame: ρ (k) x(k) = i=1 yi ei (3) The principal basis are orthonormal, the weight coefficients Y for all the frames of the spectrogram can be obtained by projecting the input (spectrogram) onto basis components: (4) Y = Et X The input spectrogram can be decomposed into sums of principal subspaces according to the following equation: X = e1 y1 t + e2 y2 t + .

However, these conventional methods either require an estimation of artifact template or reference signal for the artifact. In this study, we propose a method based on principal subspace analysis for BCG artifact removal from EEG signal measured inside MRI. This method does not suffer from any of the above mentioned disadvantages of conventional methods. We have removed the BCG artifacts from both the continuous as well as visual evoked potentials measured inside MRI scanner. The results presented in the manuscript suggest that the proposed method could be used for single channel EEG studies.

The VEPs from some representative channels, before and after artifact removal against the outside VEPs are shown in Figure 2. The results clearly shows that the VEPs obtained after artifact removal are much similar to those of outside MRI VEPs. The computed cc (correlation coefficient) values indicate a high similarity between the after artifact removed VEPs and outside MRI VEPs. It is clear that the recovered VEPs are much ˝ similar to the outside VEPs. The P1UN1 complex is also detected in all cases.

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