JP2003175104A - Anesthetic depth measuring instrument - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an anesthetic depth measuring instrument capable of measuring an anesthetic depth with high accuracy. <P>SOLUTION: This anesthetic depth measuring instrument 1 is equipped with a pulse wave measuring instrument 20, a perspiration quantity measuring instrument 30 and a temperature sensor 60 for detecting the temperature of the skin, and the pulse wave amplitude signal, blood oxygen saturated quantity signal, perspiration quantity signal, skin temperature signal and pulsation signal detected from the respective instruments are taken in a data processor 10. The data processor 10 calculates pulse wave amplitude data p1, perspiration quantity data p2, blood oxygen saturated quantity data p3, skin temperature data p4 and pulsation data p5 on the basis of the respective signals and further calculates synthetic data A from these obtained living body data. Thereafter, the anesthetic depth T is calculated as an absolute value on the basis of the peak value Ap of the synthetic data A and a value At of the synthetic data A to be displayed on a monitor 40. Accordingly, by calculating the anesthetic depth T on the basis of the plurality of living body data, the anesthetic depth T highly accurate as compared with a case for calculating the anesthetic depth T on the basis of a single living body datum can be obtained. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

TECHNICAL FIELD The present invention relates to an anesthesia depth measuring device.

[0002]

2. Description of the Related Art Conventionally, when performing treatment involving anesthesia,
The amount of anesthesia administered is up to the physician's experience. On the other hand, the effectiveness of anesthesia varies greatly among individuals, and even if the same amount of anesthesia is administered, it may be too effective for some people or, on the contrary, insufficient. Therefore, a doctor needs to reliably monitor clinical signs such as blood pressure, heart rate, sweating, tearing, and pupil diameter during administration of anesthesia.

[0003]

However, even if these signs are monitored, there is an individual difference in the response of each of these parameters, and the correspondence with the depth of anesthesia does not necessarily match, and an accurate depth of anesthesia can be obtained. There was a concern that it could not be done. In addition, it is difficult to quantitatively know the depth of anesthesia simply by monitoring clinical signs. The present invention has been completed based on the above circumstances,
An object of the present invention is to provide an anesthesia depth measuring device capable of measuring the anesthesia depth with high accuracy.

[0004]

As means for achieving the above object, the invention of claim 1 is provided with a detector for detecting a temporal change of a plurality of biological signals including pulse wave amplitude in a subject, The plurality of biological signals are individually calculated to calculate the biological data corresponding to the biological signals, and the synthetic data A is calculated from the biological data based on a known algorithm. A calculation means for storing the value at any time as the reference value Ao and calculating the depth of anesthesia based on the reference value Ao and the value At of the combined data A at the time after the reference value Ao is selected. And a display means for displaying the depth of anesthesia obtained by the calculation means.

According to a second aspect of the present invention, in the first aspect of the present invention, the detection unit is a pulse wave detecting means for measuring a temporal change of the pulse wave amplitude in the subject, and a time of a sweating amount in the subject. -Perspiration detection means for measuring physical changes, skin temperature detection means for measuring temporal changes in skin temperature in the subject, and blood oxygen saturation detection for measuring temporal changes in blood oxygen saturation in the subject It is characterized in that it is configured to include means.

According to a third aspect of the present invention, in the second aspect, the detecting unit includes the pulse wave detecting unit, the sweating amount detecting unit, the skin temperature detecting unit and the blood oxygen saturation amount detecting unit. In addition, an electroencephalogram detecting means for detecting a temporal change of the electroencephalogram in the subject, a heartbeat detecting means for detecting a temporal change of the heartbeat in the subject, and a pulse detecting means for measuring a temporal change of the pulse in the subject. The present invention is characterized in that at least one of the one-beat blood flow detection means for measuring the temporal change of one-heart blood flow in the subject is provided.

According to a fourth aspect of the present invention, in any one of the first to third aspects, the arithmetic means can store the change pattern of the composite data A,
When the measurement of the biometric data of the subject is started after the time when the reference value Ao should be selected, the change pattern of the synthetic data B based on the biometric data and the past synthesis stored in the computing unit. A similar synthetic data C is extracted by collating with a change pattern of data, the reference value Co of the extracted synthetic data C is replaced with the synthetic data B, and the replaced reference value Co and synthetic data B are replaced. The feature is that the depth of anesthesia of the subject is calculated based on the value Bt of.

[0008]

[Operation and effect of the invention] <Invention of claim 1> There are a plurality of parameters that correspond well when judging the effectiveness of anesthesia (depth of anesthesia). However, each parameter depends on the physical condition of individual subjects and subjects. Since the reaction varies, it is preferable to observe a plurality of reactions. Therefore, in claim 1, a plurality of biological signals related to the depth of anesthesia are detected, and the biological signals including the pulse wave amplitude are calculated by incorporating the biological signals into an arithmetic means and individually performing arithmetic processing. The synthetic data A is calculated based on the obtained biometric data. In this way, by calculating the depth of anesthesia based on multiple biometric data that are highly related to the depth of anesthesia, it is possible to obtain a more accurate one than when calculating the depth of anesthesia based on single biometric data. To be Further, the depth of anesthesia is made into an absolute value based on the reference value Ao, which is a value at any time of the synthetic data A, and the value At of the synthetic data A, and the doctor anesthetizes the subject based on the absolute value of the anesthesia depth. You can grasp the effectiveness of. The reason why the pulse wave amplitude is included in the biological signal (biological data) of the subject is that the pulse wave amplitude is considered to be the parameter that has the highest relation with the depth of anesthesia.

<Invention of Claim 2> According to the invention of Claim 2, the detection means includes a pulse wave detection means, a sweating amount detection means, a skin temperature detection means, and a blood oxygen saturation amount detection means. The calculation means calculates pulse wave amplitude data, perspiration amount data, skin temperature data, and blood oxygen saturation amount data based on the biological signal obtained from the above, and further calculates synthetic data A. Since each of these biometric data is highly related to the depth of anesthesia, the depth of anesthesia can be accurately grasped.

<Invention of Claim 3> According to the invention of Claim 3, the calculation means includes a pulse wave detecting means, a sweating amount detecting means, a skin temperature detecting means, and a biological signal from the blood oxygen saturation detecting means. In addition, at least one biological signal among the electroencephalogram signal from the electroencephalogram detection means, the heartbeat signal from the heartbeat detection means, the pulse signal from the pulse detection means, and the one-heartbeat blood flow signal from the one-heartbeat blood flow detection means is captured. The synthetic data A is calculated based on the biometric data obtained from these biometric signals. That is, according to the applicant's knowledge, EEG, heartbeat, pulse, 1
Since the data relating to the cardiac blood flow rate is also a parameter highly related to the depth of anesthesia, the depth of anesthesia can be more accurately grasped by adding these biometric data.

<Invention of Claim 4> According to the invention of Claim 4, for example, when the measurement of the biometric data of the subject is started after the time when the reference value Ao should originally be selected due to an error, the calculation is performed. The means collates the change pattern of the synthetic data B calculated based on the biometric data with the change pattern of the stored past synthetic data, and the similar synthetic data C is obtained.
To extract. Then, the reference value Co of the extracted combined data C is replaced with the combined data B. As described above, even when the measurement of the biological data is started after the measurement time when it should originally be started, the anesthesia depth of the subject can be calculated based on the replaced reference value Co and the value Bt of the combined data B. I can.

[0012]

BEST MODE FOR CARRYING OUT THE INVENTION <First Embodiment> A first embodiment of the present invention will be described with reference to FIGS. FIG. 1 shows the overall configuration of the anesthesia depth measuring device 1 in this embodiment. The anesthesia depth measurement device 1 includes a detection unit that detects a biological signal of the subject 5 (a pulse wave amplitude signal, a blood oxygen saturation amount signal, a pulse signal, a sweating amount signal, and a skin temperature signal, which will be described later). In the present embodiment, the detection unit is a pulse wave measuring device that measures the pulse wave amplitude, blood oxygen saturation amount, and pulse of the subject 5 (corresponding to the pulse wave detection unit, blood oxygen saturation amount detection unit, and pulse detection unit of the present invention. 20), a sweat rate measuring device (corresponding to the sweat rate detecting means of the present invention) 30 for measuring the sweat rate of the subject 5, and a temperature sensor (book) for detecting the skin temperature of the subject 5. (Corresponding to the skin temperature detecting means of the invention) 60. Further, each of these output lines is connected to a data processing device (corresponding to the calculating means of the present invention) 10. The data processing device 10
Is equipped with an A / D converter 11, a CPU 12 and a memory 13, and digitizes the biological signal of the subject 5 measured by a pulse wave measuring device 20, a sweating amount measuring device 30 and a temperature sensor 60 for detecting skin temperature, and continuously. It is designed to be taken in and to perform arithmetic processing. A monitor 40 is connected to the data processing device 10 to display data (described later) on the anesthesia depth that has been subjected to arithmetic processing.

The sweat rate measuring device 30 has the same basic principle as the sweat rate measuring device disclosed in Japanese Patent Application Laid-Open No. 10-262958 by the same applicant as this application. That is, the sweat rate measuring device 30 is provided with the capsule 31 as shown in FIG. 2, and the opening 32 of the recess 32 formed in the capsule 31.
A is attached by closing the skin surface of the subject 5. A supply port 33 and a discharge port 34 that communicate with the recess 32 are provided on the side surface of the capsule 31, and a recess 32 is provided from a cylinder (not shown) via a rubber tube 33A that communicates with the supply port 33.
A low humidity nitrogen gas, for example, is supplied at a constant flow rate.

On the other hand, a hygrometer (not shown) is provided in the middle of the rubber tube 34A connected to the exhaust port 34 to measure the humidity of the exhaust air. Further, a thermometer and a heating / cooling device (for example, a Peltier element) are incorporated in the capsule 31, and the capsule 31 is controlled so as to keep the temperature in the recess 32 constant. Then, the output results of the hygrometer and the thermometer are taken into the data processing device 10 as a sweat rate signal and calculated, and sweat rate data p2 is obtained (see FIG. 4B).

Next, the pulse wave measuring device 20 will be described. The pulse wave measuring device 20 is, as shown in FIG.
Cuff band 21 and cuff band 2 to be wrapped around your fingers 51
On both sides of 1, there are a photoelectric projector 22 and a photoelectric receiver 23 arranged so as to be sandwiched between the fingers 51 of the subject 5, a cuff pump 24 for applying a cuff pressure, and a cuff pressure sensor 25. Among them, the photoelectric projector 22 and the photoelectric receiver 23 can detect the pulse wave amplitude signal and the blood oxygen saturation amount signal of the subject 5.

That is, the photoelectric projector 22 is a luminescent red LE capable of irradiating the skin with light having a near-infrared light wavelength.
D, a light emitting blue LED capable of irradiating the skin with light having an outside blue wavelength is provided, and the photoelectric receiver 23 receives the phototransistor for receiving the reflected light of the light emitting red LED and the reflected light of the light emitting blue LED. A phototransistor is provided. Of these, the infrared light emitted by the red light emitting LED can reach the radial artery deep in the skin, so that the output of the corresponding phototransistor changes the relative change in blood flow due to the change in absorbance due to the change in blood vessel capacity. To detect. The measurement result detected in this way is taken into the data processing device 10 as a pulse wave amplitude signal and subjected to arithmetic processing to calculate the pulse wave amplitude data p1 (see FIG. 4A). Pulse wave amplitude data p1 obtained as described above
For the sake of convenience of the measuring method, the error includes an error due to a minute movement (body movement) of the subject 5. Therefore, the body movement of the subject 5 is detected in order to correct the data. That is, since the blue light emitted by the above-mentioned light emitting blue LED is reflected on the skin surface, the output of the corresponding phototransistor changes according to the body movement of the subject 5.
Thereby, the body movement of the subject 5 can be detected.

Further, in this embodiment, the photoelectric projector 22 is provided with another light emitting LED having a different wavelength from the light emitting red LED, and the photoelectric receiver 23 is provided with a phototransistor for receiving the reflected light of this light emitting LED. With this, blood oxygen saturation can be measured. That is, although the blood oxygen saturation level indicates the blood oxygen level, it is known that hemoglobin associated with blood oxygen has a property of hardly absorbing red light. Therefore, by utilizing this property, it is possible to measure the blood oxygen saturation level by irradiating light of two wavelengths and detecting the absorbance. The measurement result thus detected is taken into the data processing device 10 as a blood saturated oxygen amount signal and subjected to arithmetic processing to calculate blood oxygen saturated amount data p3.

Further, the pulse wave measuring device 20 of this embodiment can measure blood pressure data and pulse data p5. That is, the output of the cuff pump 24 is controlled to balance the cuff pressure and the intravascular pressure to obtain the maximum blood pressure and the minimum blood pressure, and the cuff pressure sensor 25 can measure the pulse of the subject 5. The detected result is taken into the data processing device 10 as a pulse signal and subjected to arithmetic processing to calculate pulse data p5.

Next, a temperature sensor 6 for detecting the skin temperature.
As for 0, for example, a thermal expansion type, a thermoelectric type, or a thermistor type may be used, and a signal relating to the skin temperature of the subject 5 is detected by attaching it to the arm of the subject 5 for measurement. . The detected measurement result is taken into the data processor 10 as a skin temperature signal and subjected to arithmetic processing to calculate skin temperature data p4.

As described above, each measuring device 20, 30, 60
Each biological signal detected by the above is taken into the data processing device 10 and subjected to arithmetic processing to calculate pulse wave amplitude data p1, perspiration amount data p2, blood oxygen saturation amount data p3, skin temperature data p4, and pulse data p5. It Subsequently, the data processing device 10 is adapted to calculate the depth of anesthesia T based on these biological data, and the calculation method will be described below.

First, the pulse wave amplitude data p1 is used as reference data, and other biological data (perspiration amount data p2, blood oxygen saturation amount data p3, skin temperature data p) are used for this reference data.
4, pulse data p5) is added based on a known algorithm to calculate the composite data A. (Shown in the following formula) A = C1 × p1 + C2 × F (p2) + C3 × G (p3) + C4 × H (p4) + C5 × I (p5) ··· Formula p1; pulse wave amplitude data p2 Perspiration data p3; blood oxygen saturation data p4: skin temperature data p5: pulse data C1 to C5 are constants, and F to I are functions. Here, the reason why the pulse wave amplitude data p1 is selected as the reference data is that the pulse wave amplitude data p1 has the best correspondence when the anesthesia depth T is expressed numerically.

The biometric data synthesizing method is performed as follows. First, the perspiration amount data p2 is added to the pulse wave amplitude data p1. That is, the combined data A2 of the perspiration amount data p2 and the pulse wave amplitude data p1 is A2 = C1 × p1 + C2 × F (p2) from the above equation. here,
Since F (p2) = 1-EXP (-C6 * p2) is given, A2 = C1 * p1 + C2 * ((1-EXP (-C
6 × p2)). C6 is a constant.

The composite data A2 of the pulse wave amplitude data p1 and the sweating amount data p2 thus obtained is based on the transition of the pulse wave amplitude data p1 as shown in FIG. The transition of the quantity data p2 is added. Specifically, a small transition of the sweat rate data p2 hardly affects the transition of the pulse wave amplitude data p1, and only a large transition of the sweat rate data p2 appears on the pulse wave amplitude data p1 with a reduced scale. ((C) in FIG. 4)
Hatching section). Further, in the same manner as the above-described synthesizing method, the blood oxygen saturation data p3,
The skin temperature data p4 and the pulse data p5 are respectively synthesized to calculate the synthesized data A (see FIG. 5).

The anesthesia depth T is calculated based on the synthetic data A obtained as described above. T = At / Ap × 100 Ap: peak value of synthetic data A after administration of anesthesia (corresponding to the reference value Ao of the present invention) At: synthesis at a time point after the peak value Ap is selected Value At of Data A As described above, the anesthesia depth T is calculated as an absolute value by being calculated based on the ratio between the peak value Ap of the synthetic data A and the value At of the synthetic data A, and the calculated anesthesia is obtained. The transition of the depth T is displayed on the monitor 40 together with the synthetic data A. The data processing device 10 calculates the amount of change Δt of the combined data A in a predetermined time, and calculates the value at which the amount of change Δt generally changes from positive to negative as the peak value Ap of the combined data A. There is.

Further, the synthetic data A calculated in this way is stored in the memory 13 described above, and if the biological data (biological signal) of the subject 5 is to be measured, the synthetic data A should originally take the peak value Ap. When it is started after the point of time, the data processing device 10 changes pattern of the synthetic data B calculated based on the biometric data (transition from the start of measurement to the stabilization of the synthetic data A, especially the peak value Ap). Close to is desirable) and the accumulated change patterns of some past synthetic data are collated to extract similar synthetic data C. Subsequently, the peak value Cp of the extracted combined data C is replaced with the combined data B, and the anesthesia depth of the subject 5 is calculated based on the replaced peak value Cp and the value Bt of the combined data B. T = Bt / Cp × 100

In this embodiment, the peak value Ap after administration of anesthesia was selected as the reference value for calculating the depth of anesthesia T, but any value that constitutes the synthetic data A may be used, for example, administration of anesthesia. It may be a value (initial value) of the previous combined data A or a value around the peak value Ap.

Next, the operation and effect of this embodiment will be specifically described. A procedure for measuring the anesthesia depth T of the subject 5 will be described. First, before administering anesthesia to the subject 5, the anesthesia depth measuring device 1 is set for the subject 5. Specifically, the cuff band 21 provided in the pulse wave measuring device 20, the capsule 31 provided in the sweat rate measuring device 30, and the temperature sensor 60 for detecting the skin temperature of the subject 5 are attached to the body of the subject 5 and each device 10 is attached. , 20, 30, 60 are turned on.

When the anesthesia depth measuring device 1 is activated in this way, the pulse wave amplitude signal detected by the pulse wave measuring device 20, the blood oxygen saturation amount signal, the pulse signal, and the sweating amount measuring device 3 are detected.
The perspiration amount signal detected from 0 and the skin temperature signal detected from the temperature sensor 60 for detecting the skin temperature are digitized by the A / D converter 11 and continuously captured by the CPU 12. Following the start of the measurement, anesthesia is administered to the subject 5 and the biological signal of the subject 5 is continuously measured.
In the meantime, in the data processing device 10, the biological data (pulse wave amplitude data p1, blood oxygen saturation amount data p3, pulse data p5,
Perspiration amount data p2 and skin temperature data p4) are calculated. After that, the pulse wave amplitude data p1 is used as reference data, and other biological data (perspiration amount data p2, blood oxygen saturation amount data p
3. Skin temperature data p4 and pulse data p5) are synthesized according to the above formula to calculate synthetic data A.

Further, the CPU 12 calculates the peak value Ap from the synthetic data A, and the peak value Ap and the peak value Ap are calculated.
The anesthesia depth T is calculated on the basis of the value At of the synthetic data A at the time point after is selected (see formula). A monitor 40 is connected to the data processing device 10 and the calculated changes in the anesthesia depth T and the synthetic data A are displayed (see FIG. 5). Then, the composite data A displayed on the monitor 40,
From the transition of the anesthesia depth T, the doctor adjusts the dose of anesthesia, and after confirming that the anesthesia depth T of the subject 5 has stabilized at an appropriate value, the operation is started.

As described above, in this embodiment, the detection unit of the anesthesia depth measuring device 1 is composed of a plurality of measuring devices 20, 30, 60, and a plurality of biological signals obtained from these measuring devices 20, 30, 60. (Pulse wave amplitude signal, blood oxygen saturation amount signal, pulse signal, perspiration amount signal, skin temperature signal) are taken into the data processing device 10 to calculate each biometric data, and further the synthetic data A is calculated. Therefore, in calculating the anesthesia depth T of the subject 5, the biological reaction of the subject 5 detected by the individual biological data can be integrated into one data. That is, since a plurality of biometric data complement each other, it is possible to obtain an accurate anesthesia depth T as compared with the case of calculating based on a single biometric data.

Further, the data processing apparatus 10 of the present embodiment is provided with the memory 13 and can store the obtained combined data A. Therefore, for example, when the measurement of the biological data of the subject 5 is started after the time when the synthetic data A should originally have the peak value Ap, the data processing device 10 accumulates the change pattern of the synthetic data B. A similar synthetic data C is extracted by collating the change patterns of some past synthetic data. Then, the peak value Cp of the extracted combined data C is replaced with the combined data B, and the replaced peak value Cp and the value B of the combined data B are replaced.
The anesthesia depth T of the subject 5 can be calculated based on t.

<Second Embodiment> Next, a second embodiment of the present invention will be described with reference to FIG. In the present embodiment, the number of parameters for calculating the anesthesia depth T of the subject 5 is increased as compared with the first embodiment. Since other configurations are the same as those of the first embodiment, the same reference numerals are given to the same configurations, and the description of the operation and the like is omitted. In the first embodiment, the detection unit is composed of the pulse wave measuring device 20, the sweating amount measuring device 30, and the temperature sensor 60 for detecting the skin temperature, and the synthetic data A for calculating the anesthesia depth T is the pulse wave. The calculation is performed based on the amplitude data p1, the sweating amount data p2, the blood oxygen saturation amount data p3, the skin temperature data p4, and the pulse data p5. The detection unit in the present embodiment is the electrocardiograph (in addition to the first embodiment. The heartbeat detecting means 70 of the present invention) and the electroencephalograph (corresponding to the electroencephalogram detecting means of the present invention) 80 are provided, and the following data (heartbeat) is added to the biological data (p1 to p5) in the first embodiment. Data p6 and electroencephalogram data p7) are added.

The electrocardiograph 70 detects a weak electric signal generated when the muscle of the heart beats by an electrode attached to the body surface of the subject 5, and further amplifies this by an amplifier to output it as a heartbeat signal. To do. The electroencephalograph 80 has the same basic principle as the electrocardiograph 70, and detects a weak electric signal generated in the brain by the activity of the brain by an electrode attached to the head of the subject 5 and further amplifies it by an amplifier. And outputs as an electroencephalogram signal. The data processing device 10 takes in these heartbeat signals and electroencephalogram signals and performs arithmetic processing to calculate heartbeat data p6 and electroencephalogram data p7, as well as seven biometric data including these biometric data (pulse wave amplitude data p1, sweating data). Data p2, blood oxygen saturation data p
3, skin temperature data p4, pulse data p5, heartbeat data p
6. The composite data D is calculated based on the electroencephalogram data p7), and then the anesthesia depth T is calculated based on the composite data D. Since the heartbeat data p6 and the pulse wave data p7 are also parameters that are closely related to the anesthesia depth T, the more accurate anesthesia depth T can be calculated by calculating the combined data D including these parameters.

<Other Embodiments> The present invention is not limited to the embodiments described above and illustrated in the drawings. For example, the following embodiments are also included in the technical scope of the present invention. In addition to the above, various modifications can be made without departing from the scope of the invention.

(1) In the second embodiment, the detection unit is composed of the pulse wave measuring device 20, the sweating amount measuring device 30, the temperature sensor 60 for detecting the skin temperature, the electrocardiograph 70 and the electroencephalograph 80. These measuring devices 20, 30, 60, 70,
In addition to 80, a blood flow rate measuring device (corresponding to one heartbeat blood flow rate measuring means in the present invention, for example, the blood flow rate is measured by detecting a photoelectric pulse wave) is provided, and the pulse wave amplitude data p1 The synthetic data may be calculated based on the perspiration data p2, blood oxygen saturation data p3, skin temperature data p4, pulse data p5, heartbeat data p6, electroencephalogram data p7, and one heartbeat blood flow data.

(2) In the first and second embodiments, the transition of the anesthesia depth T is displayed on the monitor 40, and the doctor 40
The situation of the subject 5 was grasped on the basis of the
It may be configured to notify the doctor of the abnormality of.

[Brief description of drawings]

FIG. 1 is a block diagram of an anesthesia depth measurement device according to a first embodiment of the present invention.

FIG. 2 is a partially cutaway perspective view of a capsule of a sweat rate measuring device.

FIG. 3 is a block diagram showing the principle of a pulse wave measuring device.

4A is a graph showing a transition of pulse wave amplitude data p1, FIG. 4B is a graph showing a transition of perspiration amount data p2, FIG.
(C) Graph showing transition of combined data A2 of pulse wave amplitude data p1 and perspiration amount data p2

FIG. 5 is a graph showing changes in synthetic data A and anesthesia depth T.

FIG. 6 is a block diagram of an anesthesia depth measuring device according to a second embodiment of the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Anesthesia depth measuring device 5 ... Subject 10 ... Data processing device (calculating means) 11 ... CPU 12 ... A / D converter 13 ... Memory 20 ... Pulse wave measuring device (pulse wave detecting means) 30 ... Sweating amount measuring device (sweating) Quantity detecting means) 40 ... Monitor 60 ... Temperature sensor for detecting skin temperature (skin temperature detecting means)

Claims (4)

[Claims] 1. A detection unit for detecting a temporal change of a plurality of biological signals including a pulse wave amplitude in a subject, wherein the plurality of biological signals are individually arithmetically processed to obtain biological data corresponding to the biological signals. While calculating each, while calculating the synthetic data A from this biometric data based on a known algorithm, while storing the value of the synthetic data A at any time as the reference value Ao, the reference value Ao and the reference value Comprising calculation means for calculating the depth of anesthesia based on the value At of the composite data A after the value Ao is selected, and display means for displaying the depth of anesthesia obtained by this calculation means. Anesthesia depth measuring device characterized by. 2. The pulse wave detecting means for measuring a temporal change of the pulse wave amplitude in the subject, the sweat rate detecting means for measuring a temporal change of the sweat rate in the subject, and the detecting section in the subject. 2. A skin temperature detecting means for measuring a temporal change in skin temperature, and a blood oxygen saturation detecting means for measuring a temporal change in blood oxygen saturation in the subject. The anesthesia depth measurement device described. 3. The detection unit detects a temporal change of an electroencephalogram in the subject in addition to the pulse wave detection unit, the sweating amount detection unit, the skin temperature detection unit and the blood oxygen saturation amount detection unit. An electroencephalogram detecting means, a heartbeat detecting means for detecting a temporal change of the heartbeat of the subject, a pulse detecting means for measuring a temporal change of the pulse of the subject, and a temporal change of one heartbeat blood flow in the subject. 3. The anesthesia depth measuring device according to claim 2, further comprising at least one detecting means among the one heartbeat blood flow detecting means. 4. The calculation means is capable of storing a change pattern of the synthetic data A, and when the measurement of the biometric data of the subject is started after the time when the reference value Ao should be selected, The similar synthetic data C is extracted by collating the variation pattern of the synthetic data B based on the biometric data with the variation pattern of the past synthetic data stored in the computing means, and the reference value of the extracted synthetic data C is extracted. 4. The anesthesia depth of the subject is calculated based on the reference value Co and the value Bt of the composite data B, which are replaced by replacing Co with the composite data B. 5. The anesthesia depth measurement device according to item 1.