An Efficient Method Based on Non-Linear Time Frequency Analysis to Determine Depth of Anesthesia

作者：Zoughi Toktam^*; Boostani Reza; Gifani Peyman

来源：International Review of Electrical Engineering, 2010, 5(2): 773-778.

• Depth of Anesthesia
• EEG Signal
• Smoothed Pseudo Wigner-Ville Distribution

Monitoring the depth of anesthesia is vital for anesthesiologists. Several methods have been suggested to determine a quantitative index for depth of anesthesia. In this paper an efficient method based on Wigner-Ville transform is proposed to achieve a better estimation of the depth index during the surgery. Wigner-Ville distribution represents the EEG signal windows during the surgery into time-frequency domain and the depth index is extracted from this space. As far as the amplitude of EEG signal is not important for calculating anesthesia depth, we decline the effect of signal amplitude in different windows while frequency content of signal does not change. The proposed method leads to increase the depth index robustness and provides very similar results to the Bispectral index (BIS). Ten subjects are participated in this study and the isoflurane drug is used during the surgery.

• 出版日期2010-4