Title :
Research for estimating direction of saccadic eye movements by single trial processing
Author :
Funase, A. ; Hashimoto, T. ; Yagi, T. ; Barros, A.K. ; Cichocki, A. ; Takumi, Ichi
Author_Institution :
Nagoya Inst. of Technol., Nagoya
Abstract :
Electroencephalogram (EEG) related to fast eye movement (saccade), has been the subject of application oriented research by our group toward developing a brain- computer interface(BCI). Our goal is to develop novel BCI based on eye movements system employing EEG signals online. Most of the analysis of the saccade-related EEG data has been performed using ensemble averaging approaches. However, ensemble averaging is not suitable for BCI. In order to process raw EEG data in real time, we performed saccade-related EEG experiments and processed data by using the non-conventional Fast ICA with Reference signal(FICAR). Visually guided saccade tasks and auditorily guided saccade tasks were performed and the EEG signal generated in the saccade was recorded. Saccade-related EEG signals and saccade- related ICs in visually and Auditorily guided saccade task are compared in the point of the latency between starting time of a saccade and time when a saccade-related EEG signal or an IC has maximum value and in the point of the peak scale where a saccade-related EEG signal or an IC has maximum value. As results, peak time when saccade-related ICs have maximum amplitude is earlier than peak time when saccade-related EEG signals have maximum amplitude. This is very important advantage for developing our BCI. However, S/N ratio in being processed by FICAR is not improved comparing S/N ratio in being processed by ensemble averaging. In next step, we tried to estimate direction of saccade from raw EEG signals by FICAR. In order to estimate direction of saccade, extracting matrixes w were checked, because extracting matrixes includes information of relationship between extracting ICs and recording EEG signals. In the case of saccade to right side, EEG signals recorded on right occipital lobe have strong relationship to saccade-related ICs. In the case of saccade to left side, EEG signals recorded on left occipital lobe have strong relationship to saccade-related ICs.
Keywords :
biomechanics; electroencephalography; eye; handicapped aids; independent component analysis; medical signal processing; EEG; FICAR; brain-computer interface; electroencephalogram; ensemble averaging; nonconventional fast ICA; reference signal; saccadic eye movements; single trial processing; Application software; Brain computer interfaces; Computer interfaces; Data mining; Delay; Electroencephalography; Independent component analysis; Performance analysis; Signal generators; Signal processing; Acoustic Stimulation; Disabled Persons; Electroencephalography; Functional Laterality; Humans; Saccades; Vision, Ocular;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353394