0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
Solving the inverse problem for EEG signals when learning a new motor task using GRU neural network
نویسندگان :
Milad Khosravi
1
Fariba Bahrami
2
Behzad Moshiri
3
Ahmad Kalhor
4
1- دانشگاه تهران
2- دانشگاه تهران
3- دانشگاه تهران
4- دانشگاه تهران
کلمات کلیدی :
Electroencephalogram (EEG)،GRU،Inverse problem،encoder-decoder
چکیده :
Electroencephalogram (EEG) is a noninvasive technique for recording brain neural activities. It has a poor spatial resolution compared to its temporal resolution. However, the inverse problem has to be solved to find neural sources of brain activity. In recent years artificial neural networks have been increasingly used for solving EEG inverse problem. In these methods, source reconstruction is mostly done sample by sample, while the neural sources are highly interconnected. To consider the temporal dependencies, in this research, a neural network structure based on GRU is presented, which has a low computational cost and is resistant to noise. In this novel structure, GRU networks can extract spatial and temporal information from EEG signals. Also, we employ an encoder-decoder structure which learns a latent-space representation to denoise data. Using simulated data, it has been shown that the presented method performs better than the classical methods on several defined criteria, such as AUC, MLE, and nMSE. Then the trained model was used to solve the inverse problem for real EEG data collected during a new motor task while drawing some shapes with the dominant leg.
لیست مقالات
لیست مقالات بایگانی شده
A Novel Ultra Wide-Band Antenna for the Array with Shaped Beam Radiation Pattern
Shima Amirinalloo - Zahra Atlasbaf
Jacobian matrix calculation in scattering from dielectric objects using semi-explicit MoM
Fatemeh Mandegari - Leila Ahmadi - Amir Ahmad Shishegar
Blind angle and angular range detection in planar and limited-view geometries for photoacoustic tomography
Soheil Hakakzadeh - Zahra Kavehvash
Safe Cooperative Control of Non-Holonomic Mobile Manipulators
Zahra Kashi - Nargess Sadeghzadeh-Nokhodberiz
Super twisting sliding mode incorporated with USDE for tracking control of nonlinear robotic systems
Ahmadreza Fallahinezhad - Maryam Malekzadeh - Alireza Ariaei
A 23.4-31.9 GHz Tunable RF-MEMS Impedance Matching Network for 5G Power Amplifier
Fazel Ziraksaz - Alireza Hassanzadeh
طراحی و شبیهسازی یک آرایه انعکاسی پهن باند به کمک روش چرخش قطبش موج بازتابی و سنتز فاز چند فرکانسی روزنه آنتن
مجید کریمی پور - ایمان آریانیان
A Multilevel Ac-Ac Converter with Input-series and Output-Parallel as Dynamic Voltage Restorer
Seyed mohsen Mortazavi - Reza Beiranvand
A Bidirectional Transformerless Resonant Converter for Capacitive Power Transmission for Electric Vehicle and PowerWall Applications
Jasem Shahsevani - Reza Beiranvand
Design and Simulation of a MEMS Capacitive Switch With Low Pull-in Voltage and High Switching Speed
Davoud Razaghpoor - Mir Majid Ghasemi - Saeid Afrang - Amir Fathi - Asma Akbarli
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4