제어로봇시스템학회:학술대회논문집
- 1993.10b
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- Pages.257-260
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- 1993
Automated detection of eeg spindle waveforms based on its local spectrum
- Chang, Tae-G. (Department of Control and Istrumentation Engineering, Chung-Ang University) ;
- Shim, Shin-H. (Department of Electrical Engineering, Chung-Ang University) ;
- Yang, Won-Y. (Department of Electrical Engineering, Chung-Ang University)
- Published : 1993.10.01
Abstract
A new method of spindle waveform detection is presented for the automated analysis of sleep EEG. The method is based on the combined application of signal conditioning in the time-domain and local spectrum analyzing in the frequency-domain. The overall detection system is implemented and, tested in real-time with a total of 24 hour data obtained from four subjects. The result shows an average agreement of 86.7% with the visually inspected result.
Keywords