Distance-based integration of erp correlation analysis

• Autorzy: Aung Nyi Nyein , Srimaharaj Wanus

Identyfikatory

DOI

10.7494/csci.2024.25.4.6070

• Języki publikacji: EN

Abstrakty

EN

Interpretation of cognitive performance is a paramount pursuit in learning achievements. Cognitive abilities, encompassing attention, memory, decisionmaking, and language comprehension, are recognized on individual’s capacity to navigate in diverse cognitive tasks. In the academic domain, optimal cognitive functioning is essential for effective learning, information retention, and problem-solving. Proficiency in cognitive skills is directly linked to academic success and intellectual development, providing the necessary cognitive tools for processing, and synthesizing complex information. Therefore, this study explores the correlation between event-related potential (ERP) sub-components (P300, N170, N400) to assess the intricacies of cognitive performance. A regularized approach utilizing Spearman’s Rank Correlation Coefficient and Euclidean Distance is employed. Positive correlations reveal consistent relationships among P300, N170, and N400 ranks across ERP waveforms, indicating similar response patterns. Negative correlations denote inverse relationships. Moreover, the theoretical framework focuses on the digital filtering, ensemble averaging, and baseline correction from data contrast discrimination tasks. Findings indicate positive correlations, suggesting higher ERP amplitudes correspond to superior cognitive performance. This tailored and integrated methodology, indicating the correlation between ERP sub-components, contributes to the broader field of neuroscience and informatics, potentially informing cognitive enhancement strategies in education and biomedical analysis.

Słowa kluczowe

EN

Spearman’s rank correlation coefficient; correlation analysis; Euclidean distance; cognitive performance; event-related potentials; ERP; P300; N170; N400

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2024
• Tom: T. 25 (4)
• Strony: 521--545
• Opis fizyczny: Bibliogr. 39 poz., rys., tab., wykr.

Twórcy

autor

Aung Nyi Nyein

• Payap University, Department of Information Technology, International College, Super-highway Chiang Mai, Lumpang Road, Amphur Muang Chiang Mai, 50000, Thailand

autor

Srimaharaj Wanus

• Payap University, Department of Information Technology, International College, Super-highway Chiang Mai, Lumpang Road, Amphur Muang Chiang Mai, 50000, Thailand

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).