EEG data filing system with personal computer and magneto-optical disc

We established a new computerized EEG filing system, in which an EEG machine was connected to an EEG filing unit which consisted of a personal computer with a 32 bit CPU, 18 channel analog -to-digital and digital-to-analog converters, and a magneto-optical disc driver. This system has the following...

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Bibliographic Details
Published inRinsho byori. The Japanese journal of clinical pathology Vol. 39; no. 8; p. 853
Main Authors Kitamura, K, Takizawa, Y, Nishitani, A, Futamata, H, Matsubara, F, Furuta, T, Jibiki, I, Yamaguchi, N
Format Journal Article
LanguageJapanese
Published Japan 01.08.1991
Subjects
Electroencephalography
Filing - methods
Humans
Microcomputers
Signal Processing, Computer-Assisted
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Summary:We established a new computerized EEG filing system, in which an EEG machine was connected to an EEG filing unit which consisted of a personal computer with a 32 bit CPU, 18 channel analog -to-digital and digital-to-analog converters, and a magneto-optical disc driver. This system has the following merits. The system was space-saving, the space required to store the EEG data, being only 1/500 of that required for storing EEG record. Though the system had two independent EEG filing units, our original file configuration enabled us to have access to all of the recorded EEG data anytime for more than 10 years. The system enabled us to display EEG data continuously on the high resolution CRT, just as if turning the page of an EEG record paper, and through the quick scanning, enabled us to view the entire EEG pattern. Furthermore, the system enabled us to conduct reliable digital analysis for EEG data by entering the EEG data without artifacts into a data processor after confirmation on the display. In the system, we used data files with the MS-DOS operating system. This enabled us to analyze the data obtained by a personal computer operating on other systems, by transferring the data to a floppy disc operating on our system. Our EEG filing system allows quick access to data as well as mass data storage.
ISSN:0047-1860