Evaluation of Different Time Domain Peak Models using Extreme Learning Machine‐Based Peak Detection for EEG Signal
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Springer
2016
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/13660/ http://umpir.ump.edu.my/id/eprint/13660/ http://umpir.ump.edu.my/id/eprint/13660/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/13660/http://umpir.ump.edu.my/id/eprint/13660/
http://umpir.ump.edu.my/id/eprint/13660/
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