Robust classification of motor imagery EEG signals using statistical time–domain features
The tradeoff between computational complexity and speed, in addition to growing demands for real-time BMI (brain–machine interface) systems, expose the necessity of applying methods with least possible complexity. Willison amplitude (WAMP) and slope sign change (SSC) are two promising time– domain...
Main Authors: | Khorshidtalab, Aida, Salami, Momoh Jimoh Eyiomika, Hamedi , Mahyar |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2013
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/33034/1/0967-3334_34_11_1563.pdf |
Similar Items
-
Development of an intelligent multimodal biometric system for household appliances control
by: Salami, Momoh Jimoh Emiyoka
Published: (2012) -
Detection of migraine in eeg signal by spectrum representations
by: Abdul Rahim, Sa'erah
Published: (2002) -
Separation of the EEG signal using improved fastica based on kurtosis
by: Ahmad, Tahir
Published: (2011) -
Eeg sub-band frequency analysis of spectrogram image for balanced brainwave and iq applications
by: Mahfuzah, Mustafa
Published: (2014) -
Empirical Analysis of Intra vs. Inter-Subject Variability in VR EEG-Based Emotion Modelling
by: N.S. Suhaimi, et al.
Published: (2018)