Selection of learning algorithm for musical tone stimulated wavelet de-noised EEG signal classification

• Main Authors: Navea, Roy Francis R., Dadios, Elmer Jose P.
• Format: text
• Published: Animo Repository 2017
• Subjects: Electroencephalography; Machine learning; Hymn tunes; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2706
• Institution: De La Salle University

The task of classifying EEG signals pose a challenge in the selection of which learning algorithm is best to provide higher classification accuracy. In this study, five well-known learning algorithms used in data mining were utilized. The task is to classify musical tone stimulated wavelet de-noised...