Goertzel Transformation for Identification of Visual Evoked Potentials in Augmented Reality System
Reginaldo B Nunes · Current Trends in Biomedical Engineering & Biosciences · 2023
Human-Machine Interfaces (HMIs) are suitable tools for communication between man and the environment around him. A strategy to achieve this interaction is to use biological signals such as the Electroencephalogram (EEG) signals. Thus, the EEG signals are acquired and processed aiming at translating the HMI user intention into machine language, and then sent it to an output device. Usually, these interfaces must take a decision outcome in a short time, such as from 1 s to 2 s. This short decision update time demands a process optimization and reduction of computational cost. Among the EEG signal paradigms used in the HMIs, there are the Steady-State Visual Evoked Potentials (SSVEPs).