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The master project report
Title: Final Preparation of the CeBit Data
author: Ignatius Sapto Condro Atmawan (That's me!)
supervisors: Prof. Dr.-Ing Axel Gräser & Dr.-Ing Ivan Volosyak
year: 2009
about:
The master project is mainly about EEG data format in the IAT. The BrainRobot group from the IAT conducted experiments about steady-state visual evoked potentials (SSVEP) in CeBit 2008, Hannover and RehaCare 2008, Düsseldorf, Germany. Both experiments used different data formats. The project report mentions other alternatives of data format which have already been international standards or at least european ones: GDF, EDF, BDF and BKR.
Other data format which are not mentioned in the report can be found here:
The Master Thesis
Title: Improvement of Response Time in SSVEP-based Brain-Computer Interface
author: Ignatius Sapto Condro Atmawan Bisawarna (That's me!)
supervisors: Prof. Dr.-Ing Axel Gräser, Dr.-Ing Ivan Volosyak & Thorsten Lüth, Dipl.-Ing.
year: 2010
This master thesis is about how to make SSVEP-based BCI in the IAT faster (but with less error). A few time series prediction algorithms are then used. There were simulation with MATLAB, programming with C++, using BCI2000 platform and doing EEG experiments with human subjects. In the end, the proposed algorithms to help IAT system detect SSVEP faster are Regression method and Kalman Filter.
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You can send email to saptocondro@ieee.org for more information and also the pdf files of my master project report and my master thesis.
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The scientific paper mentioning me as an author
Title: BCI Demographics: How many (and what kinds of) people can use an SSVEP BCI?
author: B. Allison, I. Volosyak, T. Lüth, D. Valbuena, I. Sugiarto, M.A. Spiegel, A. Teymourian, I.S. Condro (That's me!), A. Brindusescu, K. Stenzel, H. Cecotti & A. Gräser.
Proc. 4th International Brain-Computer Interface Workshop and Training Course.
date: September 18-21, 2008
where: Graz, Austria
pages: 333-338
The scientific paper mentioning me in the acknowledgement
Title: BCI Demographics: How many (and what kinds of) people can use an SSVEP BCI?
journal: IEEE Transaction on Neural Systems and Rehabilitation Engineering
date: April 2010
volume: 18
number: 2
pages: 107-116
ISSN:1534-4320
The link to this paper can be found here.
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I hope someday I can be an author in IEEE Transactions, especially the first author.
I’m very surprised to know that connecting the brain and the machines is already made possible. I expect that if we can connect brains to machines, that is, brain’s actions can be converted to electrical data, someday we ourselves can become digital data and live in cyberspace though now it sounds like a science fictional dream.
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Emotiv is an interesting company. I hope it can continue developing brain signal apps.
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