Change point detection of EEG signals based on particle swarm optimization

• المؤلفون الرئيسيون: Mohamed Saaid, M.F., Wan Abas, Wan Abu Bakar, Arof, Hamzah, Mokhtar, Norrima, Ramli, R., Ibrahim, Z.
• التنسيق: Conference or Workshop Item
• منشور في: 2011
• الموضوعات: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: http://eprints.um.edu.my/6140/; http://www.scopus.com/inward/record.url?eid=2-s2.0-79959971518&partnerID=40&md5=c980bbae6b17fb911efe3aeab87c0920

This paper proposes a change point detection for electroencephalograms (EEG) signal application based on Particle Swarm Optimization (PSO). As EEG signal is well known consider as non-stationary in nature, we model the signal by using the sinusoidal-Heaviside function, which are capable to represent...