The work here studies the effectiveness of the rehabilitation regime by investigating several parameters that can play important role in observing the immediate ...
Nov 4, 2021 · EEG has been successfully used in BCI neuro-feedback systems in the rehabilitation process. There are many studies that discuss important useful ...
... Wavelet Selection for EEG Signals Analysis ... This paper presents the analysis of an Electroencephalogram (EEG) signal generated from ischemic stroke patient.
Aug 20, 2020 · This study investigated electroencephalogram (EEG) changes during movement preparation and execution in stroke patients.
This study proposed a method for identifying post-stroke patients using convolutional neural networks (CNN) and showed that adaptive moment estimation ...
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An Electroencephalogram (EEG) can capture the improvement of activity in the brain in stroke rehabilitation. Therefore, the focus is on the identification of ...
Dec 19, 2023 · This article reviews the types of EEG signals, multiple EEG signal analysis methods, and the application of relevant methods in the neuroscience field
The study acquires EEG data from patients undergoing rehabilitation process and tracks the improvement in their motor ability by correlating change in ...
Jun 10, 2024 · They used wavelet decomposition to extract α, β, θ, δ, and μ bands of the raw EEG signal as features to classify stroke patients and healthy ...
Several studies used wavelet (WT) as a time-frequency analysis denoising technique [16,24]; others employed WT to evaluate relevant EEG signal variables for ...