SHERP

간질환자 뇌파의 극파 자동검출을 윟나 매개변수선정 및 콤퓨터 알고리즘
Computer Algorithm for Spike Detection in Epileptic Patient's EEG.

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Authors
박광석; 민병구; 이충웅
Issue Date
1982-03
Publisher
서울대학교 의과대학
Citation
Seoul J Med 1982;23(1):132-136
Abstract
In this paper, we have presented a new digital
computer algorithm for detection of the spike waveform
appearing in the epileptic patient's electroencephalogram(
EEG). The algorithm is based upon the
triangular model of the EEG spikes with specific
ranges of three characteristic waveform parameters
(Ml, TS, TO), where M1 is the parameter indicating
up and down slopes of the spikes, TS is
related to the peakedness of the spikes, and TO shows
the total time duration of the spikes. These three
parameters were automatically computed using the
mini-computer system from the EEG signals and its
derivatives after low-pass digital filtering process. In
the elinical test of three epileptic patients, the computer
system detected the EEG spikes accurately with
maximum sensitivity of 74% out of the total 19
spikes, where the three parameters were set at the
condition of Ml =0.041 (v Isec), TS-=7(ms), 1'0=
20(ms).
Language
Korean
URI
http://hdl.handle.net/10371/8027
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College of Medicine/School of Medicine (의과대학/대학원)Dept. of Medicine (의학과)The Seoul Journal of MedicineThe Seoul Journal of Medicine Vol. 23 No.1 (1982)
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