Lincong Pan
YOU?
Author Swipe
View article: Enhance Decoding of Lower Limb MI‐EEG Patterns by Riemannian Clustering (4/2025)
Enhance Decoding of Lower Limb MI‐EEG Patterns by Riemannian Clustering (4/2025) Open
View article: [Cross-session motor imagery-electroencephalography decoding with Riemannian spatial filtering and domain adaptation].
[Cross-session motor imagery-electroencephalography decoding with Riemannian spatial filtering and domain adaptation]. Open
Motor imagery (MI) is a mental process that can be recognized by electroencephalography (EEG) without actual movement. It has significant research value and application potential in the field of brain-computer interface (BCI) technology. T…
View article: Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering
Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering Open
Brain‐Computer Interface (BCI) based on motor imagery (MI) has attracted great interest as a new rehabilitation method for stroke. Riemannian geometry‐based classification algorithms are widely used in MI‐BCI due to their strong robustness…
View article: CTSSP: A Temporal-Spectral-Spatio Joint Optimization Algorithm for Motor Imagery EEG Decoding
CTSSP: A Temporal-Spectral-Spatio Joint Optimization Algorithm for Motor Imagery EEG Decoding Open
View article: Cross-session MI-EEG decoding with Riemannian spatial filtering and domain adaptation
Cross-session MI-EEG decoding with Riemannian spatial filtering and domain adaptation Open
View article: A cross-session motor imagery EEG dataset
A cross-session motor imagery EEG dataset Open
# Pan2023 Dataset Documentation ## Abstract The Pan2023 dataset is a collection of electroencephalography (EEG) signals from 14 subjects performing motor imagery (MI) tasks across two sessions. The dataset aims to facilitate the study of c…
View article: Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals
Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals Open
Objective. Brain–computer interfaces (BCIs) enable a direct communication pathway between the human brain and external devices, without relying on the traditional peripheral nervous and musculoskeletal systems. Motor imagery (MI)-based BCI…