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REAL TIME AUTOMATIC EEG REPORT MAKING BASED ON QUANTITATIVE INTERPRETATION OF AWAKE EEG
Masatoshi Nakamura,Hiroshi Shibasaki,Kaoru Imajoh,Akio Ikeda,Isao Mitsuyasu 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
A new method for making automatic electroencephalogram (EEG) report based on the automatic quantitative interpretation of awake EEG was developed. We first analysed a relationship between EEG reports and quantitative EEG interpretation done by a qualified electroencephalographer (EEGer) for 22 subjects. Based on the analysed relationship and usual process of report making by the EEGer, we defined all terminology necessary for EEG report and established rules for EEG report making. By the combined use of the proposed EEG report making and the method for automatic quantitative EEG interpretation presented at '90 KACC, we were able to make the automatic EEG reports which were equivalent to the EEG reports written by the EEGer. As all the procedures were programmed in a personal computer equipped with an AD (analogue-to-digital) converter, the automatic EEG reports were obtained in almost real time in usual actual EEG recording situation with only a few seconds time lag for the analysis in the computer. The proposed report making method and the quantitative EEG interpretation method will be effectively applicable to the clinical use as an assistant tool for physicians.
Visual Motor Potentials Based Brain-Computer Interface Communication for Cursor Tracking
Ou BAI,Masatoshi NAKAMURA,Hiroshi SHIBASAKI 한국과학기술원 인간친화 복지 로봇 시스템 연구센터 2001 International Journal of Assistive Robotics and Me Vol.2 No.3
The Brain-Computer Interface (BCI) is a communication system providing new augmentative communication technology to patients with neuromuscular impairments. The BCI system will "bypass" the damaged motor pathway of a paralyzed individual by interfacing his motor cortex directly with a computer. In this paper, we report a preliminary result of the development of BCI system using visual responses of motor potentials (MP s) achieved in our laboratory. This work includes the design and construction of a BCI system for the measurement and recording the MP s under the visual stimulation generated from a moving target, and the analysis of the relationships between the recorded MP s and the motion of the moving target. The analytical results say that the moving direction of a target can be directly recognized by computer based on the generated MP s from the visual stimulation. Because of the good signal-to-noise ratio of the visual MP s, the visual MP s based BCI method enable a higher communication speed than that of other BCI methods. The applications of the visual MP s based communication are also discussed.
Shigeto Nishida,Takenao Sugi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer.