EEG artifact signals tracking and filtering in real time for command control application
Brain machine interface (BMI) is a direct communication pathway between human's brain and an external device. In some researches it is also called Brain-Computer interface (BCI). There are two types of motor BMIs: invasive and non-invasive. Research on non-invasive BMIs started in the 1980s by...
Saved in:
Main Authors: | Moghavvemi, M., Attaran, A., Moshrefpour Esfahani, M.H. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Springer-Verlag
2011
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/9741/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm
by: Mehrkanoon, S., et al.
Published: (2007) -
Artifact processing of Epileptic EEG Signals:
an overview of different types artifacts
by: Hamal, Abdul Qayoom, et al.
Published: (2013) -
Comparison of few wavelets to filter ocular artifacts in EEG using lifting wavelet transform
by: Salwani, M. D., et al.
Published: (2005) -
Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach
by: Sayed Daud, Syarifah Noor Syakiylla, et al.
Published: (2016) -
Wavelet based filters for artifact elimination in electroencephalography signal: A review
by: Sayed Daud, Syarifah Noor Syakiylla, et al.
Published: (2022)