The Measurement of Anesthesia Depth Using Biomedical Signal during General Anesthesia

• Published in: Applied Mechanics and Materials Vol. 479-480; no. Applied Science and Precision Engineering Innovation; pp. 468 - 474
• Main Authors: Kim, Sung Min, Choi, Byeong Cheol, Ye, Soo Young, Kim, Sung Jae
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.01.2014
• Subjects: Anesthesia; Anesthesiology; Anesthetics; Biomedical materials; Brain; Density; Intervals; Two dimensional; Bispectrum; Biomedical Signal; Anesthetic Depth
• ISBN: 9783037859476; 3037859474
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.479-480.468

The measurement of anesthetic depth is necessary in anesthesiology. NN10 is very simple method among the RR intervals analysis methods. NN10 parameter means the numbers of above the 10 ms intervals of the normal to normal RR intervals. Bispectrum analysis is defined as 2D FFT. EEG signal reflected the non-linear peristalsis phenomena according to the change brain function. After analyzing the bispectrum of the 2 dimension, the most significant power spectrum density peaks appeared abundantly at the specific area in awakening and anesthesia state. These points are utilized to create the new index since many peaks appeared at the specific area in the frequency coordinate. The measured range of an index was 0-100. An index is 20-50 at an anesthesia, while the index is 90-60 at the awake.In this paper, the relation between NN10 parameter using ECG and bisepctrum index using EEG is observed to estimate the depth of anesthesia during anesthesia and then we estimated the utility of the anesthetic.