Frontiers

Variance characteristic preserving common spatial pattern for motor imagery BCI

Introduction: The common spatial patterns (CSP) algorithm is the most popular technique for extracting electroencephalogram (EEG) features in motor imagery based brain-computer interface (BCI) systems ...
Frontiers

A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance

Motor imagery–based brain–computer interface (BCI) using electroencephalography (EEG) has demonstrated promising applications by directly decoding users' movement related mental intention. The ...
GitHub

Mohammad-Norizadeh-Cherloo/CSP-for-motor-imagery-classification

CSP-MI Python code: Common Spatial Pattern (CSP) for Motor Imagery EEG Classification. This repository provides a manual implementation of the Common Spatial Pattern (CSP) algorithm for classifying ...
IEEE

Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization

Abstract: Common spatial patterns (CSP) is widely employed for spatial filtering and feature extraction in electroencephalogram (EEG)-based brain-computer interfaces (BCIs), However, the ...
IEEE

ThinICA-CSP algorithm for discrimination of multiclass motor imagery movements

Abstract: This paper presents a ThinICA-CSP 1 algorithm for discrimination of multiclass motor imagery (MI) movements for Brain Computer Interfacing (BCI) applications. This algorithm performs a joint ...