KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
发明人:
UHM, JIN U,엄진우,KIM, TAE HO,김태호,CHANG, HO JONG,장호종,PARK, SANG HYUN,박상현
申请号：
KR1020130015676
公开号：
KR1013712990000B1
申请日:
2013.02.14
申请国别(地区):
KR
年份:
2014
代理人:
摘要：
The present invention relates to a method for measuring the depth of anesthesia using a cepstrum method, which is more accurate than the existing method for measuring the depth of anesthesia and is capable of providing the depth of anesthesia at the right time even in case of a sudden change in the depth of anesthesia. The method for measuring the depth of anesthesia using a cepstrum method comprises the following steps. A first feature vector extraction unit receives a first EEG signal as an input signal and calculates a mel frequency cepstral coefficient (MFCC) to extract a first feature vector. A second feature vector extraction unit receives a second EEG signal in an anesthetic state and a third EEG signal in a non anesthetic state as input signals and calculates MFCCs to extract a second and a third feature vector. A quantification unit takes the second and the third feature vector as two axes of a vector plane, divides the space between the two axes into a plurality of sections, quantifies a position corresponding to the first feature vector among the sections, and outputs an index indicating the depth of anesthesia. [Reference numerals] (AA) Testing EEG (First EEG)； (B1,E1,H1) Noise removal； (B2,E2,H2) Normalization； (B3,E3,H3) Short-time Fourier transformation； (B4,E4,H4) Mel filter bank filtering； (B5,H5,E5) Log calculation； (B6,E6,H6) Discrete cosine transform； (B7,E7,H7,) Coefficient extraction； (CC) First feature vector； (DD) Second EEG； (FF) Second feature vector； (GG) Third EEG； (II) Third feature vector； (JJ) Quantification； (KK) Screen display after size adjustment본 발명은 캡스트럼 기법을 이용하여 종래의 마취 심도 측정 방법에 비해 정확하면서도 급격한 마취 상태의 변화에도 적기에 마취 심도를 제공하는 마취 심도 측정 방법에 관한 것으로서, 제1 특징 벡터 추출부는 제1 EEG 신호를 입력 신호로 받아 멜 주파수 캡스트럼 계수(mel frequency cepstral coefficient: MFCC) 연산을 하여 제1 특징 벡터를 추출하는 단계； 제2 특징 벡터 추출부는 마취 상태의 제2 EEG 신호와 비 마취 상태의 제3 EEG 신호를 입력 신호로 받아 멜 주파수 캡스트럼 계수(MFCC) 연산을 하여 각각 제2 특징 벡터와 제3 특징 벡터를 추출하는 단계； 및 정량화부는 상기 제2 특징 벡터와 상기 제3 특징 벡터를 벡터 평면의 양축으로 하여 양축 사이
