Method for Monitoring the Depth of Anesthesia
First Claim
1. A method for predicting the depth of anesthesia, comprising steps of:
- step 1;
obtaining original electroencephalogram (EEG) from one being tested;
step 2;
calculating the approximate entropy value from the original electroencephalogram (EEG) using following formula;
Approximat Entropy=Φ
m(r)−
Φ
m+1(r);
Cim(r)=(number of x(j) such that d[x(i),x(j)]≦
r)/(N−
m+1);
x(i)=[u(i), . . . , u(i=m−
1)];
x(j)=[u(j), . . . , u(j=m−
1)];
u(i),u(2) . . . u(N) are time sequence data;
wherein N is the length of data cycle;
m is the number of data comparison;
r is a noise filtering coefficient; and
step 3;
multiplying the approximate entropy value obtained in step 2 by 1000/17, and using thus corrected value as the predicting value of depth of anesthesia.
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Abstract
A method for monitoring the depth of anesthesia is provided for detecting the conscious state of one being anesthetized in order to facilitate an anesthesiologist to predict exactly the dosage of an anesthetic required. At first, an original electroencephalogram (EEG) is taken from one being tested. Then, the original electroencephalogram is analyzed by approximate entropy to obtain its approximate entropy value. Next, the approximate entropy value is multiplied by 1000/17, and the corrected value is assumed as the predicted value of depth of anesthesia. The predicted value of depth of anesthesia represents degree of the conscious state or the depth of anesthesia for the one being tested. The higher the predicted depth of anesthesia value, the more conscious the one being tested is, i.e., in a shallower depth of anesthesia. On the other hand, the lower the predicted depth of anesthesia value, the less conscious the one being tested is, i.e., in a deeper depth of anesthesia.
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Citations
6 Claims
-
1. A method for predicting the depth of anesthesia, comprising steps of:
-
step 1;
obtaining original electroencephalogram (EEG) from one being tested;step 2;
calculating the approximate entropy value from the original electroencephalogram (EEG) using following formula;
Approximat Entropy=Φ
m(r)−
Φ
m+1(r);Cim(r)=(number of x(j) such that d[x(i),x(j)]≦
r)/(N−
m+1);x(i)=[u(i), . . . , u(i=m−
1)];x(j)=[u(j), . . . , u(j=m−
1)];u(i),u(2) . . . u(N) are time sequence data; wherein N is the length of data cycle; m is the number of data comparison; r is a noise filtering coefficient; and step 3;
multiplying the approximate entropy value obtained in step 2 by 1000/17, and using thus corrected value as the predicting value of depth of anesthesia.- View Dependent Claims (2, 3, 4, 5, 6)
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Specification