Biological information processor, biological information processing method, and program

Abstract

To provide a biological information processor, a biological information processing method, and a program that enable highly accurately evaluating the degree of pain of a patient.SOLUTION: A biological information measurement device 100 for evaluating the degree of pain of a patient, comprises: a measurement part that measures biological information of the patient; a storage part that stores biological information for reference; a comparison part that compares the biological information with the biological information for reference; and a calculation part that calculates a pain score of the patient on the basis of a comparison result by the comparison part. The comparison part calculates at least one common biological parameter among a heart rate, a QT time, a pulse wave propagation time, a perfusion index, and an RR interval for each of the biological information and the biological information for reference, and compares the biological parameter of the biological information with the biological parameter of the biological information for reference.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a biometric information processing device, a biometric information processing method, and a program. [Background technology]

[0002] In general, general anesthesia consists of three components: sedation, analgesia, and muscle relaxation. To ensure patient safety and improve outcomes during the perioperative period, it is necessary to properly manage these three components under general anesthesia. Dedicated monitoring monitors exist for sedation and muscle relaxation. However, there are no monitoring monitors suitable for clinical use for analgesia, and no appropriate index for assessing pain during surgery.

[0003] For example, Patent Document 1 discloses a monitoring device that calculates a unique index, NR (Nociceptive Response, Nociceptive Reaction), from measured values ​​of heart rate, systolic blood pressure, and blood flow index. Generally, VAS (Visual Analogue Scale) and NRS (Numerical Rating Scale) are known as pain evaluation indices. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6934251 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the monitoring device disclosed in Patent Document 1 does not have enough explanatory variables for evaluating pain, so it is not possible to evaluate the patient's pain with high accuracy. Furthermore, pain evaluation indices such as VAS and NRS are subjective evaluations by the patient, so they cannot be used on unconscious patients, such as those under general anesthesia.

[0006] An object of the present disclosure is to provide a biological information processing device, a biological information processing method, and a program that are capable of evaluating the degree of pain of a patient with high accuracy. [Means for solving the problem]

[0007] A biological information measurement device according to one aspect of the present disclosure includes: A biological information processing device that evaluates the degree of pain of a patient, a measurement unit for measuring biological information of the patient; a storage unit in which reference biological information is stored; a comparison unit that compares the biometric information with the reference biometric information; a calculation unit that calculates a pain score of the patient based on the comparison result by the comparison unit; Equipped with The comparison unit calculates at least one common biological parameter among heart rate, QT interval, pulse wave transit time, perfusion index, and RR interval for each of the biological information and the reference biological information, and compares the biological parameter of the biological information with the biological parameter of the reference biological information.

[0008] A biological information measuring method according to one aspect of the present disclosure includes: A biological information processing method for evaluating a patient's pain level, comprising: a measuring step of measuring biological information of the patient; a comparison step of comparing the biometric information with reference biometric information stored in a storage unit; a pain score calculation step of calculating a pain score of the patient based on the comparison result of the comparison step; Equipped with The comparison step includes a biological parameter calculation step of calculating at least one common biological parameter among heart rate, QT interval, pulse wave transit time, perfusion index, and RR interval for each of the biological information and the reference biological information, and a biological parameter comparison step of comparing the biological parameters of the biological information with the biological parameters of the reference biological information.

[0009] A program according to one aspect of the present disclosure includes: On the computer, a measuring step of measuring biological information of a patient; a comparison step of comparing the biometric information with reference biometric information stored in a storage unit; a pain score calculation step of calculating a pain score of the patient based on the comparison result of the comparison step; Execute The comparison step includes a biological parameter calculation step of calculating at least one common biological parameter among heart rate, QT interval, pulse wave transit time, perfusion index, and RR interval for each of the biological information and the reference biological information, and a biological parameter comparison step of comparing the biological parameters of the biological information with the biological parameters of the reference biological information. [Effects of the Invention]

[0010] According to the present disclosure, the degree of pain of a patient can be evaluated with high accuracy. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing a configuration of a biological information measuring device according to a first embodiment of the present disclosure. [Figure 2] 10 is a flowchart of a pain score calculation process according to the first embodiment of the present disclosure. [Figure 3] 10A and 10B are schematic diagrams illustrating the similarity between biological information and reference biological information, and a pain score. [Figure 4] 10 is a graph illustrating a method for determining the presence or absence of pain based on the degree of similarity between biometric information and reference biometric information. [Figure 5] FIG. 10 is a block diagram showing the configuration of a biological information measuring device according to a second embodiment of the present disclosure. [Figure 6] 10 is a flowchart of a pain score calculation process according to a second embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. For the sake of convenience, descriptions of components having the same reference numerals as those already described in the description of the embodiments will be omitted. Furthermore, for the sake of convenience, the dimensions of each component shown in the drawings may differ from the actual dimensions of each component.

[0013] First Embodiment The biological information measuring device 100 according to the first embodiment will be described below with reference to FIGS. FIG. 1 is a block diagram showing the configuration of a biological information measuring device 100 according to a first embodiment of the present disclosure. The biological information measuring device 100 includes a measurement unit 10, a calculation unit 20, a storage device 30, and a display unit 40. The measurement unit 10 includes an electrocardiogram measurement unit 11 and a pulse wave measurement unit 12. The calculation unit 20 includes a comparison unit 21 and a calculation unit 22. The electrocardiogram measurement unit 11 is connectable to an electrocardiogram sensor 1. The pulse wave measurement unit 12 is connectable to a pulse wave sensor 2. The biological information measuring device 100 may include one or both of the electrocardiogram sensor 1 and the pulse wave sensor 2. The biological information measuring device 100 may also be a dedicated medical device (such as a biological information monitor) for displaying a patient's biological information, or may be, for example, a personal computer, a workstation, a smartphone, a tablet, or a wearable device worn by a medical professional.

[0014] The electrocardiogram sensor 1 is configured to detect electrocardiogram data indicating the electrocardiogram waveform of a patient. The pulse wave sensor 2 (e.g., a pulse oximeter) is configured to detect pulse wave data indicating the patient's pulse wave. The electrocardiogram measurement unit 11 acquires the electrocardiogram data of the patient by controlling the electrocardiogram sensor 1. The pulse wave measurement unit 12 acquires the pulse wave data of the patient by controlling the pulse wave sensor 2. Hereinafter, the acquired bioinformation such as the electrocardiogram data and pulse wave data will be referred to as bioinformation BI.

[0015] The storage device 30 is, for example, a flash memory, and is configured to store programs and various data. The storage device 30 may also store reference biometric information such as electrocardiogram data and pulse wave data (hereinafter referred to as reference biometric information BIR). Herein, the reference biometric information BIR is biometric information that indicates a response to pain that occurs in a patient due to, for example, incision, tracheal intubation, tracheal injection, tracheal extubation, skin incision, suturing, puncture, sternal incision, catheter insertion, nerve stimulation (including electrical stimulation used in a TOF monitor), etc. during surgery. Hereinafter, the occurrence of such pain in a patient will be referred to as a pain event. Note that the biometric information BI and the reference biometric information BIR may be biometric information of the same person or may be biometric information of different people.

[0016] The comparison unit 21 compares the patient's electrocardiogram data acquired by the electrocardiogram measurement unit 11 and the patient's pulse wave data acquired by the pulse wave measurement unit 12 with the electrocardiogram data and pulse wave data of the reference biological information BIR stored in the storage device 21. The reason for comparing the electrocardiogram data and pulse wave data is that when a patient experiences a pain event, the heart rate, blood pressure, and respiratory rate generally increase, and changes occur in vasoconstriction and endocrine stress responses, resulting in changes in biological information such as the electrocardiogram data and pulse wave data. This makes it possible to determine with high accuracy whether or not the patient is experiencing a pain event. Details of the method for comparing the electrocardiogram data and pulse wave data will be described later.

[0017] The calculation unit 22 calculates the patient's pain score PS based on the comparison result between the biological information BI and the reference biological information BIR by the comparison unit 21. The pain score PS indicates the degree of pain when a pain event occurs in the patient. The method of calculating the pain score PS will be described in detail later.

[0018] The display unit 40 is configured by, for example, a liquid crystal panel or an organic EL panel, and displays the patient's pain score PS calculated by the calculation unit 22, etc., to the user.

[0019] Next, the flow of a biological information measurement method for calculating a pain score PS of a patient will be described with reference to Fig. 2. Fig. 2 is a flowchart of a pain score calculation process according to the first embodiment of the present disclosure.

[0020] First, the electrocardiogram measurement unit 11 acquires electrocardiogram data, which is the patient's biological information, and the pulse wave measurement unit 12 acquires pulse wave data, which is the patient's biological information (STEP 100). Here, STEP 100 is referred to as the measurement step. Next, the comparison unit 21 calculates the QT interval, RR interval, and heart rate from the electrocardiogram data, the perfusion index from the pulse wave data, and the pulse wave transit time from the electrocardiogram data and pulse wave data (STEP 101). The comparison unit 21 also calculates derivatives of the QT interval, RR interval, heart rate, perfusion index, and pulse wave transit time (STEP 102). Here, the QT interval, RR interval, heart rate, perfusion index, pulse wave transit time, and their respective derivatives are collectively referred to as biological parameters. Also, STEPs 101 and 102 are collectively referred to as the biological parameter calculation step. Next, the comparison unit 21 compares the biological parameters of the biological information BI with the biological parameters of the reference biological information BIR that are common to the biological parameters, and calculates the similarity S (STEP 103). Here, the above comparison is referred to as a biological parameter comparison step. Furthermore, the calculation unit 22 calculates an evaluation value V from the similarity S, and calculates a pain score PS from the evaluation value V (STEP 104). Here, STEP 104 is referred to as a pain score calculation step.

[0021] Next, the method of comparing the biological parameters of the biological information BI with the biological parameters of the reference biological information BIR by the comparison unit 21 and the method of calculating the pain score PS by the calculation unit 22 will be described in detail with reference to Figures 3 and 4. Figure 3 is a schematic diagram illustrating the similarity between the biological information and the reference biological information, and the pain score. Figure 4 is a graph illustrating a method of determining the presence or absence of pain based on the similarity between the biological information and the reference biological information.

[0022] As shown in FIG. 3, the comparison unit 21 calculates the similarity S from the difference (Euclidean distance) between, for example, a biological parameter of the biological information BI and a biological parameter of the reference biological information BIR that is common to the biological parameter in each plot including points P1 to P6 on the time axis. In the example shown in FIG. 3, at points P1 and P6, the reference biological information BIR and the biological information BI have approximately the same value, so the similarity S is approximately 0. At points P2 and P3, the value of the biological information BI is smaller than the reference biological information BIR, so the similarity S is a negative value. At points P4 and P5, the value of the biological information BI is larger than the reference biological information BIR, so the similarity S is a positive value. In the example shown in FIG. 3, the similarity S is calculated from the Euclidean distance of each biological parameter, but the similarity S may also be calculated from the cosine similarity, DTW (Dynamic Time Warping), or CCF (Cross-Correlation Function) of each biological parameter.

[0023] Next, the comparison unit 21 calculates, for each plot including points P1 to P6 on the time axis, a similarity S1 between the QT interval, which is a biological parameter of the biological information BI, and the QT interval, which is a biological parameter of the reference biological information BIR, and a similarity S2 between the RR interval, which is a biological parameter of the biological information BI, and the RR interval, which is a biological parameter of the reference biological information BIR, and maps the similarities S1 and S2 as shown at points P1 to P6 in FIG. 4. Next, the comparison unit 21 classifies each plot including points P1 to P6 as a pain event or not using a support vector machine (SVM) with the similarities S1 and S2 as explanatory variables. Specifically, a discrimination plane BS is set so that the minimum distance (margin) from each of the distances from each plot including points P1 to P6 is maximized. In the example of FIG. 4, the distance L2 from point P2 and the distance L6 from point P6 are the margins. The plots including P2 to P5 in the area A on the lower left from the discrimination plane BS are classified as pain events, while the plots including P1 and P6 in the area B on the upper right are classified as normal events where no pain events have occurred. Furthermore, the comparison unit 21 calculates the distance from each plot included in area A to the discrimination plane BS and sets this as an evaluation value V. For example, the evaluation value V2 of point P2 is the distance L2. Furthermore, the calculation unit 22 calculates the pain score PS shown in the lower part of Figure 3 by normalizing the evaluation value V of each plot included in area A to a range of, for example, 0 to 100. A pain score PS of 0 indicates no pain, and a pain score PS of 100 indicates the most severe pain.

[0024] In this embodiment, SVM is used as a method for determining the presence or absence of pain based on the similarity between biometric information and reference biometric information, but the presence or absence of pain may also be determined using logistic regression, neural network, decision tree, or random forest.

[0025] In this way, by comparing the biological information BI with the reference biological information BIR and calculating the pain score PS, it is possible to evaluate the pain experienced by a patient with high accuracy, even for an unconscious patient.

[0026] Second Embodiment A biological information measuring device 200 according to the second embodiment will be described below with reference to FIGS. 5 is a block diagram showing the configuration of a biological information measurement device 200 according to a second embodiment of the present disclosure. Only differences from the configuration of the biological information measurement device 100 according to the first embodiment of the present disclosure shown in FIG. 1 will be described below.

[0027] The biological information measuring device 200 includes a measuring unit 10, a calculating unit 20, a storage device 30, and a display unit 40. The measuring unit 10 includes an electrocardiogram measuring unit 11, a pulse wave measuring unit 12, and an arterial pressure measuring unit 13. The arterial pressure measuring unit 13 is configured to be connectable to an arterial pressure sensor 3. The arterial pressure sensor 3 is configured to detect arterial blood pressure data of the patient. Note that the biological information measuring device 200 may be configured to include the arterial pressure sensor 3 internally.

[0028] The comparison unit 21 compares the patient's electrocardiogram data acquired by the electrocardiogram measurement unit 11, the patient's pulse wave data acquired by the pulse wave measurement unit 12, and the arterial line data acquired by the arterial pressure measurement unit 13 (hereinafter collectively referred to as biometric information BI) with the electrocardiogram data, pulse wave data, and arterial line data stored in the memory device 21 (hereinafter collectively referred to as reference biometric information BIR).

[0029] Next, the flow of a biological information measurement method for calculating a pain score PS of a patient will be described with reference to Fig. 6. Fig. 6 is a flowchart of a pain score calculation process according to the second embodiment of the present disclosure.

[0030] First, the electrocardiogram measurement unit 11 acquires electrocardiogram data, which is the patient's biological information. The pulse wave measurement unit 12 acquires pulse wave data, which is the patient's biological information. The arterial pressure measurement unit 13 acquires arterial line data, which is the patient's biological information (STEP 200). Next, the comparison unit 21 calculates the QT interval, RR interval, and heart rate from the electrocardiogram data, the perfusion index from the pulse wave data, the pulse wave transit time from the electrocardiogram data and the pulse wave data, and the blood pressure from the arterial line data (STEP 201). The comparison unit 21 also calculates derivatives of the QT interval, RR interval, heart rate, perfusion index, pulse wave transit time, and blood pressure (STEP 202). Here, the QT interval, RR interval, heart rate, perfusion index, pulse wave transit time, blood pressure, and their respective derivatives are collectively referred to as biological parameters. Next, the comparison unit 21 compares the biological parameters of the biological information BI with the biological parameters of the reference biological information BIR that are common to the biological parameters, and calculates the similarity S (STEP 203). Furthermore, the calculation unit 22 calculates an evaluation value V from the similarity S, and calculates a pain score PS from the evaluation value (STEP 204).

[0031] The method of comparing the biological parameters of the biological information BI with the biological parameters of the reference biological information BIR by the comparison unit 21, and the method of calculating the pain score PS by the calculation unit 22 are the same as the comparison method and calculation method of the first embodiment shown in Figures 3 and 4, so explanations will be omitted.

[0032] In this way, by including blood pressure in addition to the QT interval, RR interval, heart rate, perfusion index, and pulse wave transit time as biological parameters, and comparing the biological information BI with the reference biological information BIR to calculate the pain score PS, it is possible to evaluate the pain experienced by patients with high accuracy, even for unconscious patients.

[0033] Although the embodiments of the present disclosure have been described above, it goes without saying that the technical scope of the present disclosure should not be interpreted as being limited by the description of the embodiments. The present embodiments are merely examples, and it will be understood by those skilled in the art that various modifications of the embodiments are possible within the scope of the invention described in the claims. The technical scope of the present disclosure should be determined based on the scope of the invention described in the claims and its equivalents.

[0034] For example, in the biological information measurement devices 100 and 200 according to the embodiments of the present disclosure, the comparison unit 21 may calculate the variability of the R-R intervals (e.g., standard deviation, variance, quartile deviation, etc.) and heart rate variability from the electrocardiogram data, calculate the derivatives of the variability of the R-R intervals and the heart rate variability, and include the variability of the R-R intervals, the heart rate variability, and their respective derivatives in the biological parameters for use in calculating the pain score PS. Including the variability of the R-R intervals in the biological parameters can reduce the variability in pain evaluation, and including the heart rate variability in the biological parameters can improve the accuracy of pain evaluation.

[0035] Furthermore, in the biological information measurement device 100 according to an embodiment of the present disclosure, the QT interval, the RR interval, the heart rate, the perfusion index, the pulse wave transit time, and their respective derivatives are used as biological parameters, and in the biological information measurement device 200 according to an embodiment of the present disclosure, the QT interval, the RR interval, the heart rate, the perfusion index, the pulse wave transit time, and the blood pressure, and their respective derivatives are used as biological parameters to calculate the similarity S. Here, values ​​obtained by transforming the above parameters using DFT (Discrete Fourier Transformation) may be used as the biological parameters, or values ​​obtained by reducing the dimensions of a plurality of the above parameters using PAA (Piecewise Aggregate Approximation) or SAX (Symbolic Aggregate Approximation) may be used as the biological parameters.

[0036] Furthermore, the biological information measuring devices 100 and 200 according to the embodiments of the present disclosure can be realized as a computer program that operates within the biological information measuring devices 100 and 200. That is, the biological information measuring devices 100 and 200 are assumed to include a processor such as a CPU and a memory.

[0037] The program can be stored in a non-transitory computer-readable medium and read by a computer. Examples of non-transitory computer-readable media include magnetic recording media, magneto-optical recording media, CD-ROMs, CD-Rs, CD-R / Ws, and semiconductor memories (including EPROMs and flash ROMs). The program can also be read by a computer using various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to a computer via a wired communication path such as an electric wire or optical fiber, or via a wireless communication path. [Explanation of symbols]

[0038] 100, 200: Biological information measuring device 1: Electrocardiogram sensor 2: Pulse wave sensor 3: Arterial pressure sensor 10: Measuring part 11: Electrocardiogram measurement section 12: Pulse wave measurement unit 13: Arterial pressure measurement unit 20: Arithmetic section 21: Comparison section 22: Calculation section 30: Storage device 40: Display section BI: Biometric information BIR: Biological Reference Information S: Similarity PS: Pain score BS: Identification surface

Claims

1. A biological information processing device that evaluates the degree of pain of a patient, a measurement unit for measuring biological information of the patient; a storage unit in which reference biological information is stored; a comparison unit that compares the biometric information with the reference biometric information; a calculation unit that calculates a pain score of the patient based on the comparison result by the comparison unit; Equipped with The comparison unit calculates at least one common biological parameter among a heart rate, a QT interval, a pulse wave transit time, a perfusion index, and an RR interval for each of the biological information and the reference biological information, and compares the biological parameter of the biological information with the biological parameter of the reference biological information.

2. The biological information processing apparatus according to claim 1 , wherein the comparison unit compares the biological parameters of the biological information and the biological parameters of the reference biological information using a similarity.

3. The biological information processing device according to claim 1 , wherein the pain score is an index indicating the degree of pain when a pain event occurs.

4. The biological information processing device according to claim 1 , wherein the biological information includes an electrocardiogram and a pulse wave.

5. The biological information processing apparatus according to claim 1 , wherein the calculation unit calculates an evaluation value of the biological information with respect to the reference biological information based on the comparison result, and calculates the pain score based on the evaluation value.

6. The biological information processing device according to claim 1 , wherein the biological information includes an electrocardiogram, a pulse wave, and an arterial line.

7. 7. The biological information processing device according to claim 6, wherein the comparison unit calculates the biological parameters including at least one of the heart rate, the QT interval, the pulse wave transit time, the perfusion index, the RR interval, and blood pressure from the biological information and the reference biological information.

8. 2. The biological information processing device according to claim 1, wherein the comparison unit calculates the biological parameters including at least one of the heart rate, the QT interval, the pulse wave transit time, the perfusion index, the RR interval, the variability of the RR interval, and heart rate variability from the biological information and the reference biological information.

9. 7. The biological information processing device according to claim 6, wherein the comparison unit calculates the biological parameters including at least one of the heart rate, the QT interval, the pulse wave transit time, the perfusion index, the RR interval, blood pressure, the RR interval variability, and heart rate variability from the biological information and the reference biological information.

10. A biological information processing method for evaluating a patient's pain level, comprising: a measuring step of measuring biological information of the patient; a comparison step of comparing the biometric information with reference biometric information stored in a storage unit; a pain score calculation step of calculating a pain score of the patient based on the comparison result of the comparison step; Equipped with The comparison step includes a biological parameter calculation step of calculating at least one common biological parameter among a heart rate, a QT interval, a pulse wave transit time, a perfusion index, and an RR interval for each of the biological information and the reference biological information, and a biological parameter comparison step of comparing the biological parameter of the biological information with the biological parameter of the reference biological information.

11. On the computer, a measuring step of measuring biological information of a patient; a comparison step of comparing the biometric information with reference biometric information stored in a storage unit; a pain score calculation step of calculating a pain score of the patient based on the comparison result of the comparison step; Execute The comparison step includes a biological parameter calculation step of calculating at least one common biological parameter among heart rate, QT interval, pulse wave transit time, perfusion index, and RR interval for each of the biological information and the reference biological information, and a biological parameter comparison step of comparing the biological parameter of the biological information with the biological parameter of the reference biological information.

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