SEPARATION OF ACTIVATION SIGNALS IN FMRI DATA BY INDEPENDENT COMPONENT ANALYSIS (ICA)

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MIRZAKUCHAKI SATTAR; TAHERZADEH AMIR HOSSEIN

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING
Year:2004 | Issue:11

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Title

SEPARATION OF ACTIVATION SIGNALS IN FMRI DATA BY INDEPENDENT COMPONENT ANALYSIS (ICA)

Author(s)

MIRZAKUCHAKI SATTAR | TAHERZADEH AMIR HOSSEIN

Keywords

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Abstract

IN THIS PAPER, A NEW APPROACH NAMED FIXED POINT FOR THE INDEPENDENT COMPONENT ANALYSIS IS INTRODUCED AND ITS PERFORMANCE IN SEPARATION OF FMRI DATA FROM NOISE AND OTHER SIGNALS IS REVIEWED. FIRST, WE HAVE APPLIED THIS METHOD TO SOME FABRICATED SIGNALS IN ORDER TO BE ASSURED OF ITS CAPABILITY IN SEPARATION DIFFERENT COMBINED SIGNALS. THIS ALSO LEAD US TO A COMPARISON BETWEEN THIS METHOD AND OTHERS SUCH AS INFOMAX. THIS METHOD WAS THEN APPLIED TO A SET OF REAL FMRI SIGNALS OBTAINED THROUGH AN EXPERIMENT. THE RESULTS SHOW THAT THE FIXED POINT ALGORITHM CONVERGES MUCH FASTER THAN USUAL METHODS AND THAT IT ALSO IS CAPABLE OF RECONSTRUCTING A VARIETY OF SIGNALS WITHOUT ANY PRIOR KNOWLEDGE OF HOW THE EXPERIMENT WAS CARRIED OUT.

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APA: Copy

MIRZAKUCHAKI, SATTAR, & TAHERZADEH, AMIR HOSSEIN. (2004). SEPARATION OF ACTIVATION SIGNALS IN FMRI DATA BY INDEPENDENT COMPONENT ANALYSIS (ICA). IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/906390/en

Vancouver: Copy

MIRZAKUCHAKI SATTAR, TAHERZADEH AMIR HOSSEIN. SEPARATION OF ACTIVATION SIGNALS IN FMRI DATA BY INDEPENDENT COMPONENT ANALYSIS (ICA). 2004. Available from: https://sid.ir/paper/906390/en

IEEE: Copy

SATTAR MIRZAKUCHAKI, and AMIR HOSSEIN TAHERZADEH, “SEPARATION OF ACTIVATION SIGNALS IN FMRI DATA BY INDEPENDENT COMPONENT ANALYSIS (ICA),” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2004, [Online]. Available: https://sid.ir/paper/906390/en

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