학술논문

Mu Rhythm EEG Signals Analysis during Fingers Movements in Mirror Therapy
Document Type
Conference
Source
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) Biomedical Engineering and Sciences (IECBES)2022 IEEE-EMBS Conference on. :298-302 Dec, 2022
Subject
Bioengineering
Robotics and Control Systems
Signal Processing and Analysis
Fingers
Medical treatment
Rhythm
Electroencephalography
Mirrors
Signal analysis
Monitoring
Language
Abstract
Mirror therapy is a well-known method that can improve motor function after a stroke. Monitoring post-stroke patients’ conditions during mirror therapy is critical for improving rehabilitation oucomes. Electroencephalogram (EEG) based mirror therapy can provide an upper extremity evaluation during treatment. There has been minimal research studying the mu rhythm EEG signals of chronic post-stroke patients. This paper reveals the changes in mu rhythm of chronic post-stroke patients and their comparisons with the normal subjects’ mu rhythm obtained from fingers movements with and without using a mirror. The power spectral density and absolute power are the parameters used to observe the mu rhythm characteristics. It was discovered that post-stroke patients have the greatest mu rhythm suppression, while normal subjects who performed fingers movements without a mirror have the least suppression.