The EOG event recognition method in an EEG signal towards SSVEP BCI improvement

• Autorzy: Kaczmarek P. , Mańkowski T. , Tomczyński J.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a method of recognizing EOG artifacts in an EEG signal. Moreover, it shows the possibility of determining the direction of eye movement. The idea behind this method is to develop a hybrid brain-computer interface relying on SSVEP phenomena and EOG artifacts acquired from the EEG signal. Recognition of an EOG event and its direction can be used to improve the SSVEP detection accuracy, overall system responsiveness, and increase the information transfer rate (ITR). Eye movement direction is recognized using a decision tree and histogram-based features calculated from EEG signals recorded in Fp1-O1 and Fp2-O2 points. The accuracy of 75% was achieved for a group of 8 subjects, while the average precision of detecting movement direction in horizontal plane was 78%.

Słowa kluczowe

EN

Hybrid BCI; EEG; EOG artifact; SSVEP; tree classifier

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 7
• Strony: 376--378
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Kaczmarek P.

• Poznan University of Technology, Institute of Control and Information Engineering, 3A Piotrowo St., 60-965 Poznań, Poland

autor

Mańkowski T.

• Poznan University of Technology, Institute of Control and Information Engineering, 3A Piotrowo St., 60-965 Poznań, Poland

autor

Tomczyński J.

• Poznan University of Technology, Institute of Control and Information Engineering, 3A Piotrowo St., 60-965 Poznań, Poland

Bibliografia

• [1] Pfurtscheller G, Allison B. Z., Brunner C., Bauernfeind G., Solis-Escalante T., Scherer R., Zander T. O., Mueller-Putz G., Neuper C., Birbaumer N.: The hybrid BCI. Frontiers in Neuroscience, 4: 42, 2010.
• [2] Amiri S., Fazel-Rezai R., Asadpour V.: A Review of Hybrid Brain-Computer Interface Systems. Advances in Human-Computer Interaction, vol. 2013, 2013.
• [3] Bonkon Koo, Yunjun Nam, Seungjin Choi: A hybrid EOG-P300 BCI with dual monitors. 2014 International Winter Workshop on Brain-Computer Interface (BCI), 2014.
• [4] Punsawad Y., Wongsawat Y., Parnichkun M.: Hybrid EEG-EOG brain-computer interface system for practical machine control. Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010.
• [5] Wen Qi: EOG Artifacts Removal in EEG Measurements for Affective Interaction with Brain Computer Interface. Intelligent Information Hiding and Multimedia Signal Processing, 2012.
• [6] Moretti D. V., Babilonia F., Carduccia F., Cincottia F., Remondinia E., Rossinib P. M., Salinarie S., Babilonia C.: Computerized processing of EEG–EOG–EMG artifacts for multicentric studies in EEG oscillations and event-related potentials. Int. Journal of Psychophysiology, vol. 47, issue 3, 2003.