Luc Budé, Margaretha W J van de Wiel, Tjaart Imbos, Martijn P F Berger
The effect of directive tutor guidance on students' conceptual understanding of statistics in problem-based learning
The British journal of educational psychology
recently graph theory become promising tool biomedical signal analysis wherein signals transformed graph network represented either adjacency laplacian matrices however size time series increases dimensions transformed matrices also expand leading significant rise computational demand analysis therefore critical need efficient feature extraction methods demanding low computational time paper introduces new feature extraction technique based gershgorin circle theorem applied biomedical signals termed gershgorin circle feature extraction gcfe study makes use two publicly available datasets one including synthetic neural recordings consisting eeg seizure data addition efficacy gcfe compared two distinct visibility graphs tested seven feature extraction methods gcfe method features extracted special modified weighted laplacian matrix visibility graphs method applied classify three different types neural spikes one dataset distinguish seizure nonseizure events another application gcfe resulted superior performance compared seven algorithms achieving positive average accuracy difference 267 across experimental datasets indicates gcfe consistently outperformed methods terms accuracy furthermore gcfe method computationallyefficient feature extraction techniques gcfe method also employed realtime biomedical signal classification visibility graphs utilized ekg signal classification