Multimodal imaging technique for rapid response brain-computer interface feedback

Author

Seul-Ki Yeom ; Fazli, Siamac ; Mehnert, J. ; Blankcrtz, B. ; Steinbrink, J. ; Muller, Klaus-Robert ; Seong-Whan Lee

Author_Institution

Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea

fYear

2013

fDate

18-20 Feb. 2013

Firstpage

92

Lastpage

94

Abstract

Electroencephalogram (EEG) has been widely used for brain-computer interface (BCI) due to its high temporal resolution. Meanwhile, multimodal imaging techniques based on combined EEG and near infrared spectroscopy (NIRS) have been studied in BCI research and shown to lead to beneficiary results in terms of classification [1]. However, performance results of this study show that there is a difference of peak accuracy (about 5s) between NIRS and EEG caused by the high latency of the NIRS signal. Based on our experimental results and analysis, we show that even though there is high latency of NIRS signal in our proposed multimodal imaging technique, it can be reasonable system for real-time BCI.

Keywords

brain-computer interfaces; electroencephalography; infrared spectroscopy; medical signal processing; signal classification; BCI; EEG; NIRS signal; electroencephalogram; multimodal imaging technique; near infrared spectroscopy; rapid response brain-computer interface feedback; signal classification; Accuracy; Brain-computer interfaces; Educational institutions; Electroencephalography; Imaging; Real-time systems; Spectroscopy; combined NIRS-EEG; hybrid BCI fast-paced NIRS; meta-classifier; multi-modal imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Brain-Computer Interface (BCI), 2013 International Winter Workshop on

Conference_Location

Gangwo

Print_ISBN

978-1-4673-5973-3

Type

conf

DOI

10.1109/IWW-BCI.2013.6506642

Filename

6506642