Evaluation of Different Time Domain Peak Models using Extreme Learning Machine‐Based Peak Detection for EEG Signal

• Main Authors: Asrul, Adam, Zuwairie, Ibrahim, Norrima, Mokhtar, Mohd Ibrahim, Shapiai, Cumming, Paul, Marizan, Mubin
• Format: Article
• Language: English; English
• Published: Springer 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/13660/1/SpringerPlusZuwairie.pdf; http://umpir.ump.edu.my/id/eprint/13660/7/fkee-2016-zuwairie-Evaluation%20of%20different%20time%20domain%20peak1.pdf; http://umpir.ump.edu.my/id/eprint/13660/; http://dx.doi.org/10.1186/s40064-016-2697-0

Various peak models have been introduced to detect and analyze peaks in the time domain analysis of electroencephalogram (EEG) signals. In general, peak model in the time domain analysis consists of a set of signal parameters, such as amplitude, width, and slope. Models including those proposed by D...