DETECTION OF THE COGNITIVE COMPONENTS OF BRAIN POTENTIALS USING WAVELET COEFFICIENTS

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ABOU TALEBI V.; MORADI M.; KHALILZADEH M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING Year:2004 | Volume:1 | Issue:1 Page(s): 25-46

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Title

DETECTION OF THE COGNITIVE COMPONENTS OF BRAIN POTENTIALS USING WAVELET COEFFICIENTS

Author(s)

ABOU TALEBI V. | MORADI M. | KHALILZADEH M. | Issue Writer Certificate

Keywords

BRAIN POTENTIALSQ4

COGNITIVE FUNCTIONSQ4

P300Q4

LIE DETECTIONQ4

DISCRETE WAVELET TRANSFORMQ4

LINEAR DISCRIMINANT ANALYSISQ4

MODULAR LEARNING STRATEGYQ4

Abstract

P300 is the most predominant cognitive component of the brain signals. In this study, the single trial event related potentials recorded from the scalp, were decomposed to their time-frequency components using DISCRETE WAVELET TRANSFORM. These quantities were later analyzed as the features related to the cognitive activities of brain. Study on these features showed that cognitive processes of the brain of ten reflected in the feature of δ and θ bands. The aim of this study, as a primary step for "lie detection using brain signals (EEG - Polygraphy)", was to design a system for discriminating between single trials involved P300 and those without it. In the first approach, an optimal discriminant function based on 9 features was designed using "Stepwise LINEAR DISCRIMINANT ANALYSIS". Detection accuracy was 75% in training data and 71% in test data. More study on this method showed that almost similar accuracy could be obtained from the features of Pz channel alone. In the second approach, the MODULAR LEARNING STRATEGY - based on principal component analysis and neural networks - was used. After training the systems, the maximum classification accuracy was 76% in train data and 72% in test data.

Cites

SINGLE TRIAL P300 RECOGNITION IN AUDITORY EVENT RELATED POTENTIAL USING GENETIC ALGORITHM AND NEURAL NETWORK CLASSIFIER

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APA: Copy

ABOU TALEBI, V., MORADI, M., & KHALILZADEH, M.. (2004). DETECTION OF THE COGNITIVE COMPONENTS OF BRAIN POTENTIALS USING WAVELET COEFFICIENTS. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 1(1), 25-46. SID. https://sid.ir/paper/81689/en

Vancouver: Copy

ABOU TALEBI V., MORADI M., KHALILZADEH M.. DETECTION OF THE COGNITIVE COMPONENTS OF BRAIN POTENTIALS USING WAVELET COEFFICIENTS. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2004;1(1):25-46. Available from: https://sid.ir/paper/81689/en

IEEE: Copy

V. ABOU TALEBI, M. MORADI, and M. KHALILZADEH, “DETECTION OF THE COGNITIVE COMPONENTS OF BRAIN POTENTIALS USING WAVELET COEFFICIENTS,” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 1, no. 1, pp. 25–46, 2004, [Online]. Available: https://sid.ir/paper/81689/en

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