Low-Latency Asynchronous BCI by Detecting the Motion Onset VEP Induced by the Action Observation Stimulus in Senior-Reference-Cited by-同舟云学术

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Low-Latency Asynchronous BCI by Detecting the Motion Onset VEP Induced by the Action Observation Stimulus in Senior

Published:2023 Issue: Volume:72 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Xin¹^ORCID,Hou Wensheng¹^ORCID,Wang Yi²^ORCID,Jiang Ning³^ORCID

Affiliation:

1. College of Bioengineering, Chongqing University, Chongqing, China

2. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

3. National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Postdoctoral Research Program of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10268084.pdf?arnumber=10268084

Reference34 articles.

1. A Convolutional Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential

2. Iterative Outlier Removal Clustering Based Time-Frequency-Spatial Feature Selection for Binary EEG Motor Imagery Decoding

3. A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli

4. Enhanced System Robustness of Asynchronous BCI in Augmented Reality Using Steady-State Motion Visual Evoked Potential

5. Fusing Frontal and Occipital EEG Features to Detect “Brain Switch” by Utilizing Convolutional Neural Network

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