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...
Main Authors: | Moghavvemi, M., Attaran, A., Moshrefpour Esfahani, M.H. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Springer-Verlag
2011
|
Subjects: |
Similar Items
-
Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm
by: Mehrkanoon, S., et al.
Published: (2007) -
Detection of the onset of epileptic seizure signal from scalp EEG using blind signal separation
by: Moghavvemi, M., et al.
Published: (2009) -
Performance review of high-quality-factor, low-noise, and wideband radio-frequency LC-VCO for wireless communication
by: Moghavvemi, M., et al.
Published: (2011) -
Recent advances in delay cell VCOs [application notes]
by: Moghavvemi, M., et al.
Published: (2011) -
Design of a low voltage 0.18 um CMOS Surface Acoustic Wave gas sensor
by: Moghavvemi, M., et al.
Published: (2011)