Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine-Reference-Cited by-同舟云学术

Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine

Published:2018-07 Issue:7 Volume:89 Page:074302
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Review of Scientific Instruments

Author:

Dai Yixuan¹^ORCID,Zhang Xinman¹,Chen Zhiqi¹,Xu Xuebin²

Affiliation:

1. MOE Key Lab for Intelligent Networks and Network Security, School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China

2. Guangdong Xi’an Jiaotong University Academy, No. 3, Daliangdesheng East Road, Foshan, Guangdong 528000, China

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Instrumentation

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5006511

Reference30 articles.

1. Detecting awareness in patients with disorders of consciousness using a hybrid brain–computer interface

2. EEG and MEG: Relevance to Neuroscience

3. fNIRS-based brain-computer interfaces: a review

4. Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI

5. Hybrid EEG–fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control

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