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

• 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
• Institution: Universiti Putra Malaysia

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...