ERP Analysis Of Episodic Memory Recall

Ghoshuni, Majid; Khalilzadeh, Mohammad Ali; Moghimi, Ali

doi:10.22041/ijbme.2008.13545

Document Type : Full Research Paper

Authors

¹ Instructor, Department of Biomedical Engineering, Islamic Azad University of Mashhad Branch

² Assistant Professor, Department of Biomedical Engineering, Islamic Azad University of Mashhad Branch,

³ Associate Professor, Department of Biology, Sciences School, Ferdowsi University

10.22041/ijbme.2008.13545

Abstract

Episodic memory is the explicit recollection of incidents occurred at a particular time and place in One’s Personal Past. In This Study, Detection of Episodic Memory Activity In Event Related Potentials (ERPs) was done. ERPs were recorded while the subjects made old/new recognition judgments on the new unstudied meaningless pictures and the old pictures which had been presented at the study phase. In order to extract the features correlated with the episodic memory activity, time and time-frequency features were extracted from ERPs. Wavelet method was implemented for feature extraction in time-frequency. Independent sample test has was for detection of the separable degree the between old/new ERPs. Furthermore, by using stepwise linear discriminate analysis, ERP signals were classified to old and new classes. Ultimately for better classification between old/new ERPs, Multilayer Perceptron was implemented, and for best feature selection, genetic algorithm was used. In the best results, by using time domain features extracted from Pz channel, 100% accuracy in the training and test data was obtained.

Keywords

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Iranian Journal of Biomedical Engineering

ERP Analysis Of Episodic Memory Recall

References

References

Volume 1, Issue 4 - Serial Number 4
June 2007
Pages 251-267

ERP Analysis Of Episodic Memory Recall

References

References

Volume 1, Issue 4 - Serial Number 4June 2007Pages 251-267

Volume 1, Issue 4 - Serial Number 4
June 2007
Pages 251-267