HIGHER ORDER TIME-FREQUENCY SPECTRA IN THE ANALYSIS OF EEG SIGNALS

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ABOOTALEBI VAHID; SHAMSOLLAHI MOHAMMAD BAGHER

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Seminar Paper

Paper Information

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

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Title

HIGHER ORDER TIME-FREQUENCY SPECTRA IN THE ANALYSIS OF EEG SIGNALS

Author(s)

ABOOTALEBI VAHID | SHAMSOLLAHI MOHAMMAD BAGHER

Keywords

TIME_FREQUENCY DISTRIBUTIONS

WIGNER_VILLE DISTRIBUTION

HIGHER ORDER SPECTRA (HOS)

WIGNER BISPECTRUM

ELECTROENCEPHALOGRAM (EEG)

Abstract

SPECTRAL ANALYSIS IS OF FUNDAMENTAL IMPORTANCE IN EXTRACTING SPECTRAL INFORMATION OF STATIONARY RANDOM SIGNALS. BUT IN MANY APPLICATIONS OF SIGNAL ANALYSIS, INCLUDING BIOLOGICAL SIGNAL PROCESSING, THE ASSUMPTION OF STATIONARY FAILED TO BE TRUE. IN THESE CASES A NO STATIONARY APPROACH TO THE SPECTRAL ESTIMATION IS DEMANDED. TIME- FREQUENCY DISTRIBUTIONS ARE SUCH APPROACHES. ON THE OTHER HAND, POWER SPECTRA ONLY CONTAIN THE INFORMATION OF CORRELATION FUNCTION AND DON’T HAVE ANY INFORMATION FROM THE PHASE OF SIGNAL. THEREFORE HIGHER ORDER SPECTRA (HOS) ARE USED FOR SAVING THE PHASE INFORMATION OF SIGNAL. COMBINATIONS OF THESE TWO GROUPS OF FUNCTIONS RESULT IN INTRODUCING “HIGHER ORDER TIME-FREQUENCY SPECTRA” SUCH AS WIGNER HIGHER ORDER SPECTRA. IN THIS PAPER APPROACHES TO ANALYZE EEG SIGNALS BASED ON WIGNER HIGHER ORDER SPECTRA ARE PRESENTED. IT IS SHOWN, THAT THE DETECTION STATISTICS BASED ON WIGNER BISPECTRUM CAN OUTPERFORM THEIR WIGNER DISTRIBUTION COUNTERPARTS IN THE DETECTION OF SOME ABNORMAL COMPONENT IN THE EEG RECORDINGS.

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APA: Copy

ABOOTALEBI, VAHID, & SHAMSOLLAHI, MOHAMMAD BAGHER. (2004). HIGHER ORDER TIME-FREQUENCY SPECTRA IN THE ANALYSIS OF EEG SIGNALS. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/906382/en

Vancouver: Copy

ABOOTALEBI VAHID, SHAMSOLLAHI MOHAMMAD BAGHER. HIGHER ORDER TIME-FREQUENCY SPECTRA IN THE ANALYSIS OF EEG SIGNALS. 2004. Available from: https://sid.ir/paper/906382/en

IEEE: Copy

VAHID ABOOTALEBI, and MOHAMMAD BAGHER SHAMSOLLAHI, “HIGHER ORDER TIME-FREQUENCY SPECTRA IN THE ANALYSIS OF EEG SIGNALS,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2004, [Online]. Available: https://sid.ir/paper/906382/en

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