EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation

EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation

The second leading cause of death and one of the most common causes of disability in the world is stroke. Researchers have found that brain–computer interface (BCI) techniques can result in better stroke patient rehabilitation. This study used the proposed motor imagery (MI) framework to analyze the...

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Bibliographic Details
Main Authors: Al-Qazzaz, Noor Kamal, Aldoori, Alaa A., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Mohammed, Ahmed Kazem, Mohyee, Mustafa Ibrahim
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/107446/1/EEG%20Signal%20Complexity%20Measurements%20to%20Enhance%20BCI-Based%20Stroke%20Patients%E2%80%99%20Rehabilitation.pdf
http://psasir.upm.edu.my/id/eprint/107446/
https://www.mdpi.com/1424-8220/23/8/3889
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Institution: Universiti Putra Malaysia
Language: English

Internet

http://psasir.upm.edu.my/id/eprint/107446/1/EEG%20Signal%20Complexity%20Measurements%20to%20Enhance%20BCI-Based%20Stroke%20Patients%E2%80%99%20Rehabilitation.pdf
http://psasir.upm.edu.my/id/eprint/107446/
https://www.mdpi.com/1424-8220/23/8/3889

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