제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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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
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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.

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