TOWARDS PREDICTION AND IMPROVEMENT OF EEG-BASED MI-BCI PERFORMANCE.
Ph.D
Saved in:
Main Author: | ATIEH BAMDADIAN |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/118815 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Modelling and Classification of Motor Imagery EEG for BCI
by: LI XINYANG
Published: (2014) -
Error entropy based adaptive kernel classification for non-stationary EEG analysis
by: Liyanage, S.R., et al.
Published: (2014) -
Dynamically weighted classification with clustering to tackle non-stationarity in Brain computer interfacing
by: Liyanage, S.R., et al.
Published: (2014) -
Design a novel BCI for neurorehabilitation using concurrent LFP and EEG features: a case study
by: Feng, Zhao, et al.
Published: (2022) -
Parallel spatial-temporal self-attention CNN-based motor imagery classification for BCI
by: Liu, Xiuling, et al.
Published: (2021)