Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals-Reference-Cited by-同舟云学术

Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals

Published:2016-03-05 Issue:3 Volume:16 Page:336
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Batres-Mendoza Patricia,Montoro-Sanjose Carlos,Guerra-Hernandez Erick,Almanza-Ojeda Dora,Rostro-Gonzalez Horacio^ORCID,Romero-Troncoso Rene,Ibarra-Manzano Mario

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/16/3/336/pdf

Reference41 articles.

1. Brain-computer interface technology: a review of the first international meeting

2. A Telepresence Mobile Robot Controlled With a Noninvasive Brain–Computer Interface

3. Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A brain-computer interface with gamification in the Metaverse;DÜMF Mühendislik Dergisi;2022-11-24

2. A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions;Artificial Intelligence-Based Brain-Computer Interface;2022

3. Sparse learning of band power features with genetic channel selection for effective classification of EEG signals;Neurocomputing;2021-11

4. A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface;Sensors;2021-03-20

5. The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN;PeerJ Computer Science;2021-03-02