Applying Combined Action Observation and Motor Imagery to Enhance Classification Performance in a Brain–Computer Interface System for Stroke Patients-Reference-Cited by-同舟云学术

Applying Combined Action Observation and Motor Imagery to Enhance Classification Performance in a Brain–Computer Interface System for Stroke Patients

Published:2022 Issue: Volume:10 Page:73145-73155
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rungsirisilp Nuttawat¹^ORCID,Wongsawat Yodchanan¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand

Funder

National Higher Education Science Research and Innovation Policy Council, Program Management Unit for Human Resources and Institutional Development, Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09828024.pdf?arnumber=9828024

Reference50 articles.

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2. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

3. Simultaneous and alternate action observation and motor imagery combinations improve aiming performance

4. Non-physical practice improves task performance in an unstable, perturbed environment: motor imagery and observational balance training

5. Motor imagery during action observation increases eccentric hamstring force: an acute non-physical intervention

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