Analysis of Minimal Channel Electroencephalography for Wearable Brain–Computer Interface
Arpa Suwannarat,
Setha Pan-ngum,
Pasin Israsena
Abstract:Electroencephalography (EEG)-based brain—computer interface (BCI) is a non-invasive technology with potential in various healthcare applications, including stroke rehabilitation and neuro-feedback training. These applications typically require multi-channel EEG. However, setting up a multi-channel EEG headset is time-consuming, potentially resulting in patient reluctance to use the system despite its potential benefits. Therefore, we investigated the appropriate number of electrodes required for a successful B… Show more
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