학술논문

Spectral Analysis of EEG Signals obtained during Mirror Therapy and Imagined Hand Movements
Document Type
Conference
Source
2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Industrial Electronics & Applications (ISIEA), 2020 IEEE Symposium on. :1-4 Jul, 2020
Subject
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Electroencephalography
Mirrors
Medical treatment
Elbow
Grasping
Thumb
Brain waves
Motor Imagery
Power Spectral Density
Post-stroke Rehabilitation
Language
ISSN
2472-7660
Abstract
Mirror therapy and motor imagery training can assist in the recovery of motor function after stroke. The changes in the brain activity through mirror therapy and motor imagery training can be monitored using electroencephalogram (EEG). The effect of mirror therapy on brain activities has not been examined extensively using EEG. This study analyses the EEG signals to identify the brain status during mirror therapy and motor imagery training. The EEG signals were acquired from 32 channels. The signals were then filtered and divided into three frequency bands. Power Spectral Density was then computed and EEG signal strength was examined at every channel. Seven channels provide strong EEG signals and contain brain status information which are suitable for monitoring changes in the brain activity during mirror therapy and motor imagery training.