An electroencephalogram (EEG) is a test that records electrical activity of the brain using electrodes attached to the scalp, ...
Jul 9, 2020 · In this paper, we present details of the proposed methodology and a case study using decision trees to analyze EEG signals from visually impaired and sighted ...
Jul 9, 2020 · In this work, a methodology of EEG analysis is proposed through data mining, which tries to extract knowledge from a large database. This paper ...
Jan 1, 2020 · In this paper, we present details of the proposed methodology and a case study using decision trees to analyze EEG signals from visually impaired and sighted ...
In this paper, we present details of the proposed methodology and a case study using decision trees to analyze EEG signals from visually impaired and sighted ...
Nov 22, 2024 · Researchers from Federal University of Rio Grande Discuss Findings in Neuroscience (Analyzing EEG Signals Using Decision Trees: A Study of ...
This paper presents a case study using EEG signals from visually impaired and sighted individuals during the execution of an activity that stimulated spatial ...
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The use of the decision tree method in a WM task state distinguished the elderly group from the middle-aged group with an accuracy of 87.5%.
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analysis of eeg signals using data mining approach - Academia.edu
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Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude · Cleo Billa. Computational Intelligence and Neuroscience. An ...
The exact characteristics of EEG signals are, in general terms, unpredictable. This means that one cannot foresee pre- cisely the amplitude of an EEG ...