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EEG electrode placement summary, April 2015

After experimenting with different EEG amplifiers, I got more information about different EEG electrode position. And then my summary ought to be revised. Below are the revisions in my PhD note.

In my notes, I add information about CSP spatial filter because this filter is suitable with EEG amplifiers with more than 8 electrodes. CSP is Common Spatial Filter. This filter is used for motor imagery BCI involving lateralization of hand movement: left versus right, contralateral versus ipsilateral.


Previous EEG electrode placement summary:

The EEG amplifiers, I have used so far in my PhD study at the University of Oldenburg, as well as in my master study at the University of Bremen, are below.

  • mBrainTrain Smarting, a mobile EEG amplifier with 24 electrodes, since the second year of my PhD study.
  • gtec MOBIlab+, a mobile EEG amplifier with maximum 8 bipolar electrodes, for the third semester of my PhD Study.
  • Easymotiv, which is modified Emotiv EPOC with Easy Cap, a mobile EEG amplifier with 14 electrodes, for the first semester of my PhD study.
  • TMSi Porti 7, an EEG amplifier with 32 electrodes, for my master thesis.
  • gtec USBamp, an EEG amplifier with 16 electrodes, for my master project.

Tulisan ini adalah revisi dari rangkuman posisi elektroda EEG untuk Brain-Computer Interface sebelumnya. Revisi dilakukan setelah mencoba beberapa EEG amplifier. Dalam revisi terdapat penambahan informasi tentang Common Spatial Pattern (CSP) sesuai catatan doktoral 24 November 2014.

Bremen, 18 April 2015

Darah Juang!

Brain Robot Research, a neuroscience blog —

April 18, 2015 Posted by | Neuroscience | , , , , , , , , | 3 Comments

EEG electrode placement summary, August 2014

After reading the theses from my research mates from Uni Oldenburg, as well as Uni Bremen, I summarized some EEG electrode placements in my PhD note. So these are the links to my note.

SSVEP stands for steady-state visually evoked potential.

The idea is to minimize the number of EEG electrodes, which I am planning to use with my mobile EEG device. Putting electrodes to the scalp takes a lot of time. If 192 electrodes were put on whole scalp, it could took 1 hour or more and it would not be practical for the users. Also, analyzing the data from a large number of electrodes has a curse of dimensionality. I am planning to record using 8 or 16 or 24 EEG electrodes. Less is more! The EEG electrode placement which I need have been noted, so I just look into those specific electrode positions for my analysis, as well as, online signal processing.  


Tulisan ini adalah rangkuman dari posisi elektroda EEG untuk Brain-Computer Interface (BCI) berbasis SSVEP, P300,  dan “motor imagery” atau gelombang mu, untuk bulan ini.

Bremen, 23 Agustus 2014

Darah Juang!

Brain Robot Research, a neuroscience blog

August 23, 2014 Posted by | Neuroscience | , , , , , , , , | 4 Comments

SSVEP electrode position, on my head

Since Posterous is killed by Twitter, pictures from my blog posts about standard 10-20 system are gone. The figures are not kept  by Posterous nor sent to Blogger. So I post the pictures again, which were saved by WordPress:

I am wearing EEG cap

The pictures are about EEG electrode placement for SSVEP-BCI, according to 10-20 system (wiki: en,de). EEG is electroencephalography, which is recording of electrical signals from scalp (wiki: en,de,id). SSVEP is steady-state visually evoked potential, which is EEG signal as a response of flickering stimuli with certain frequency (wiki: en). BCI is Brain-Computer Interface (wiki: en,de).

10-20 system for EEG electrode position

The electrode position for SSVEP BCI  is Pz, PO3, PO4, O1, Oz, O2, O9 and O10. The ground is AFz and the reference is one ear lobe, either left or right. This position is used on my master thesis (book,slide).

Bremen, 6 Desember 2013


P.S. Now, I am thinking about EEG electrode position, for BCI, based on motor imagery.

via Brain Robot Research, a neuroscience blog

December 6, 2013 Posted by | Neuroscience | , , , , | 13 Comments

Master Thesis 2010: Presentation

After you read my master thesis from my previous post, you can read also my presentation slide below.

View this document on Scribd

Inilah slide untuk sidang master di Universitas Bremen.

February 20, 2011 Posted by | Neuroscience | , , | 1 Comment

Master Thesis 2010

This is my master thesis in 2010. The title is “Improvement of Response Times in SSVEP-based Brain-Computer Interface”.

View this document on Scribd

Inilah master thesis di tahun 2010. Judulnya seperti di atas.

February 19, 2011 Posted by | Neuroscience | , , | 4 Comments