کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

Kernel-Based Embedded Feature Selection for Motor Imagery Based BCI

نویسندگان :

Mehdi Kamandar¹

1- دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته

کلمات کلیدی :

Brain–computer interface (BCI)،Electroencephalogram (EEG)،(Motor imagery (MI،)،Support vector machine (SVM)،Kernel-target alignment (KTA)،Embedded feature selection،l1 regularization،minibatch proximal gradient ascent

چکیده :

Brain-computer interface (BCI) based on motor imagery (MI) classification using scalp recorded multi-channel EEG signal play a major role in the control of artificial limbs and machines by people with severe disabilities. The most popular features are band power of EEG signals in frequency sub-bands in a relatively wide frequency band (e. g., 8-30 Hz) in different time windows of imagination period. The effectiveness of these features is highly dependent on the sub-bands and time windows adopted, since the optimal sub-bands and time windows is generally subject-specific. The nonlinear support vector machine (SVM) with Gaussian kernel is an excellent classifier for MI classification. In this paper, the SVM with an anisotropic Gaussian kernel with a special scaling factors for each feature is used, instead of one scale factor for all features. The scaling factors are tuned by maximizing the kernel-target alignment criterion with l1 regularization. Some of the scaling factors will be zero after maximization due to l1 regularization, that is equivalent to removing corresponding features from classification processes. Therefore, an embedded feature selection is also done to remove the destructive effect of irrelevant and redundant features. The average accuracy of the SVM classifier with anisotropic Gaussian kernel for four subjects in BCI IV-1 dataset is about 10% more than the SVM with isotropic Gaussian kernel.

لیست مقالات

لیست مقالات بایگانی شده

Two Mixed Logical Dynamical Real-Time Receding Horizon Control Schemes for Microgrids Operation Optimization

Seyed Shahab Kheradmand - Reyhaneh Haghpanah - Malihe Maghfouri Farsangi - Mojtaba Barkhordary

Incentivizing Peer-to-Peer Energy Trading in Microgrids

Amir Noori - Babak Tavassoli - Alireza Fereidunian

Interval-Based Setting Approach for Distance Relays Considering Uncertainties Using Monte Carlo Simulation

Abolfazl Hadadi - Mohammad Javad Jalilian - Behrooz Vahidi - Gholam Hossein Riahy Dehkordi

Design of an Optical Current Transformer for High-Voltage Gas-Insulated Switchgear-Part II: Focus on GIS Compartment Design

Reza Babaei - Asghar Akbari - Arash Moradi

A Boost and Luo Based Non-isolated DC-DC Converter Suitable for DC Link of High Voltage Applications

Ali Meftahpour - Hesam Ehsan - Hossein Gholizadeh - Mohammad Hamed Samimi

Breast tumor detection using graphene-based terahertz patch antenna

Zahra Yasaghi - Ayaz Ghorbani - Gholamreza Moradi

Smart EV Charging in Residential Power Grids Considering Users’ Preferences

Mahya Shahshahani - Ali Moradi Amani - Mahdi Jalili

A straightforward approach for measuring blood pressure in an upper arm digital blood pressure monitor

Mohammad Soroush Rezaei - Mahdi Khalilzadeh Shabestari - Seyed Yousef Jazaery Farsany - Danial Katoozian - Hossein Hosseini-Nejad

Single-Frequency Microwave Measuring System for Liquid Characterization for Point-of-Care Testing

Saeed Javadizadeh - Mohammadjavad Bouloorchi Tabalvandani - Majid Badieirostami - Mahmoud Shahabadi

Efficient signal detection via compressive sensing in uplink massive MIMO systems

Soroush Mesforush Mashhad - Mojtaba Amiri - Ali Olfat

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4