Spectral Analysis of EEG Signals obtained during Mirror Therapy and Imagined Hand Movements
| Autor: | N. F Ahmad Roslan, D. Perera Morawakage, A. Z. Che Daud, Ab. Mughni B. Ab Rahim, Wahidah Mansor, N. Jaafar, F. H. Kamaru Zaman |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
030506 rehabilitation
medicine.medical_specialty medicine.diagnostic_test Computer science Brain activity and meditation Audiology Electroencephalography Motor function Hand movements 03 medical and health sciences 0302 clinical medicine Motor imagery Mirror therapy Signal strength medicine Spectral analysis 0305 other medical science 030217 neurology & neurosurgery |
| Zdroj: | 2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA). |
| DOI: | 10.1109/isiea49364.2020.9188071 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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