TS-ADMM: A Novel EEG Source Localization Method Based on Time Smoothing Optimization-Reference-Cited by-同舟云学术

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TS-ADMM: A Novel EEG Source Localization Method Based on Time Smoothing Optimization

Published:2023-05-26 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Hu Ming¹,Yang Dengjie¹,Sun Yi²,Sun Yuan³,Qiu Hongyu⁴,Ye Shiwei¹

Affiliation:

1. University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering,Beijing,China

2. University of Chinese Academy of Sciences,School of Microelectronics,Beijing,China

3. National Institute of Informatics,Information and Society Research Division,Tokyo,Japan

4. Chongqing University,School of Microelectronics and Communication Engineering,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10176329/10176364/10176602.pdf?arnumber=10176602

Reference12 articles.

1. Human emotion recognition based on time–frequency analysis of multivariate EEG signal[J];padhmashree;Knowledge-Based Systems,2022

2. Higher Resolution sLORETA (HR-sLORETA) in EEG Source Imaging

3. Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition

4. Brain Source Localization Using Stochastic Gradient Descent

5. Dipole localization of eeg and its application to detection of origin of epilepsy[C];yamanoi;World Automation Congress 2010,2010

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