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صفحه اصلی
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سی امین کنفرانس بین المللی مهندسی برق
Event Related Potentials Extraction using Low-rank Tensor Decomposition
نویسندگان :
Zahra SohrabiBonab
1
Mohammad Bagher Shamsollahi
2
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
کلمات کلیدی :
Event Related Potentials (ERPs), Tucker Decomposition, Low-Rank Restoration
چکیده :
Event-related potential (ERP) extraction from ongoing electroencephalograph (EEG) and its enhancement is one of the long-established problems in EEG signal processing. Most of the previous studies have focused mainly on the ERP enhancement without considering the multi-dimensional structure of the signal. In order to take advantage of this property, we propose a tensor-based solution with trial-by-trial concatenated ERP data. Then we develop an algorithm based on low-rank Tucker decomposition to detect single trial ERP component with maximized signal to noise ratio (SNR). In other words, by using tensor algebra we consider both self-similarity in intra-trials and global correlation in spatial mode. Applicability of the algorithm is demonstrated in the context of P300 detection with synthetic data and the real EEG data collected from 8 subjects during a visual oddball experiment. Performance of the proposed method is evaluated with approximation errors and classification accuracy.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
