ABSTRACT: Introducing BCI technology in supporting motor imagery (MI) training has revealed the rehabilitative potential of MI, contributing to.
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Spatial filters increase the signal-to-noise ratio, thus allowing better classification of the analyzed mental states. This study shows the evolution in the ...
Dec 13, 2023 · This study introduces a novel spatial filter-solving paradigm named adaptive spatial pattern (ASP), which aims to minimize the energy intra-class matrix and ...
The results as a whole demonstrate the importance of proper spatial filter selection for maximizing the signal-to-noise ratio and thereby improving the speed ...
Oct 27, 2022 · This algorithm is similar to the common spatial pattern (CSP) method that separates different conditions using spatial filters [25]. CSP is ...
Motor imagery based brain-computer interface (MI-BCI) has been proven to be effective in post-stroke rehabilitation. However, the low specificity of MI-BCI ...
In this study, a feature selection algorithm automatically selected a small number of ICA components that are optimally suitable to differentiate between ...
Missing: Rehabilitation | Show results with:Rehabilitation
May 17, 2016 · Spatial filtering techniques are therefore greatly needed to extract meaningful information from EEG. Our goal is to show, in online operation, ...
May 2, 2024 · The first layer with temporal convolution learns frequency filters, followed by depthwise convolution to learn spatial filters for specific ...
It is demonstrated that spatial filters for multichannel EEG effectively extract discriminatory information from two populations of single-trial EEG.