Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — Literature Review #2This post covers a literature review the signal processing pipeline for SSVEP-BCIs.Mar 29, 2022Mar 29, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — Literature Review #1The next posts will presents a literature review on SSVEP classification, addressing the following aspects: data availability, subject of…Mar 18, 20221Mar 18, 20221
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — Recap #1Up to now you were presented the basic concepts and aspects of brain-computer interfaces.Mar 16, 2022Mar 16, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — Signal Processing PipelineIn today’s post, let’s learn a bit of signal processing pipeline for SSVEP-BCIsMar 16, 2022Mar 16, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — EEG StandardizationIn today’s post, let’s learn a bit of EEG standardization.Mar 15, 2022Mar 15, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces — ParadigmsA BCI system can explore different phenomena from a given signal source to work. These phenomena can be divided into two categories…Mar 3, 2022Mar 3, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces & Convolutional Neural Networks — Signal AcquisitionRegardless of the physical process to be monitored, there are two approaches for signal acquisition: invasive and non-invasive ones.Mar 2, 2022Mar 2, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces & Convolutional Neural Networks — Historical OverviewHistorical OverviewMar 2, 2022Mar 2, 2022
Rodrigo PereirainAn Analysis of the Use of Convolutional Neural Networks for Classification of Steady-State Visually Evoked Potential — Based BCIsBrain-Computer Interfaces & Convolutional Neural Networks — IntroductionPrefaceFeb 28, 2022Feb 28, 2022