BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface Systems-Reference-Cited by-同舟云学术

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BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface Systems

Published:2023 Issue: Volume:31 Page:3968-3977
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Ma Guoxuan¹^ORCID,Kang Jian¹,Thompson David E.²^ORCID,Huggins Jane E.³^ORCID

Affiliation:

1. Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA

2. Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA

3. Physical Medicine and Rehabilitation Department, Michigan Medicine, Department of Biomedical Engineering, and the College of Engineering, University of Michigan, Ann Arbor, MI, USA

Funder

National Institute on Deafness and Other Communication Disorders (NIDCD) in the National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10271742.pdf?arnumber=10271742

Reference29 articles.

1. An Online Interactive Paradigm for P300 Brain–Computer Interface Speller

2. Improving brain-computer interface performance by using dynamic methods based on analysis of cognitive state;aref,2018

3. Performance optimization of ERP-based BCIs using dynamic stopping

4. Listen, You are Writing! Speeding up Online Spelling with a Dynamic Auditory BCI

5. P300-Based Asynchronous Brain Computer Interface for Environmental Control System

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