Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification-Reference-Cited by-同舟云学术

Time window and frequency band optimization using regularized neighbourhood component analysis for Multi-View Motor Imagery EEG classification

Published:2021-05 Issue: Volume:67 Page:102550
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Singh Malan Nitesh,Sharma Shiru

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference62 articles.

1. Brain-computer interfaces for communication and rehabilitation;Chaudhary;Nat. Rev. Neurol.,2016

2. P300 brain computer interface: current challenges and emerging trends;Fazel-Rezai;Front. Neuroeng.,2012

3. Discrimination between control and Idle States in asynchronous SSVEP-based brain switches: a pseudo-key-based approach;Pan;IEEE Trans. Neural Syst. Rehabil. Eng.,2013

4. CCA model with training approach to improve recognition rate of SSVEP in Real time;Soni,2019

5. Introduction to motor imagery-based brain-computer interface: time, frequency, and phase analysis-based feature extraction for Two class MI classification;Malan,2020

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