Intelligent pupil real-time monitoring alarm system

Abstract

The invention relates to the technical field of biological recognition, in particular to an intelligent pupil real-time monitoring and alarming system which comprises a data acquisition module used for acquiring a pupil image of a patient; the image analysis mode determining module is used for determining dynamic analysis or static analysis of the pupil image of the patient according to the difference value between the maximum value and the minimum value of the pupil diameter of the patient in the monitoring process; the abnormal state determination module is used for determining abnormal state evaluation values of the pupils under different analysis modes; the early warning mode determination module is used for determining an early warning mode according to a comparison result of the abnormal state evaluation value and a preset abnormal state evaluation value; and the adjusting module is used for determining the adjustment of the early warning mode according to the stability degree of the pupil contraction state in the monitoring process. According to the invention, the problem of low accuracy of an early warning result in the prior art is overcome.

Description

Technical Field

[0001] The present invention relates to the field of biometric identification technology, and in particular to an intelligent pupil real-time monitoring and alarm system. Background Art

[0002] At present, in actual clinical work, the size, shape, and direct and indirect light reflex sensitivity of the pupil of patients with impaired consciousness mainly rely on the subjective judgment of clinical medical staff using a handheld optical pupil pen, which is highly subjective and has large errors. In addition, the condition of some patients with impaired consciousness, such as those with cerebral hemorrhage, cerebral infarction, or acute period after craniocerebral surgery, changes rapidly, and medical staff are required to promptly detect changes in pupil size, shape, and light reflex sensitivity. However, frequent observation of the pupil greatly increases the workload of medical staff, and there may be a situation where the patient is killed or disabled because the medical staff fails to detect pupil changes in time. Furthermore, the current clinical significance of changes in pupil size, shape, and light reflex sensitivity is based on the subjective judgment of clinical medical researchers, and there is no objective standard. It is of great significance to use modern intelligent equipment to accurately judge the above data and then combine it with the clinical condition to establish an objective standard.

[0003] Chinese patent application publication number: CN113397477A discloses a pupil monitoring method and system, including the following steps: setting a support, and setting an imaging monitor on the support; the support enables the imaging monitor to continuously monitor the patient's pupil to obtain a monitoring video; the pupil monitoring video is processed to obtain monitoring data, and a monitoring threshold is set for the monitoring data; during the continuous monitoring process, if the monitoring data exceeds the monitoring threshold, a number of monitoring pictures are obtained by taking pictures through the imaging monitor; the monitoring pictures are analyzed to obtain further analysis data, and an alarm is processed. This application continuously monitors the patient's pupil by setting an imaging monitor, and then obtains more accurate monitoring data through two-level judgment. The first level judgment is essentially a rough judgment, so that no pupil monitoring data can be missed, and the second level judgment can be performed by parameter judgment, so as to obtain more accurate monitoring data. It can be seen that although the system monitors the pupil in real time and judges the monitoring data through two-level judgment, it does not monitor and adjust the analysis process of the pupil monitoring data, so that the accuracy of the analysis results of the pupil monitoring data is not high, resulting in a decrease in the accuracy of the early warning results. Summary of the invention

[0004] To this end, the present invention provides an intelligent pupil real-time monitoring alarm system to overcome the problem in the prior art that the analysis process of pupil monitoring data is not monitored and adjusted, resulting in low accuracy of the analysis results of the pupil monitoring data, leading to reduced accuracy of the warning results.

[0005] To achieve the above object, the present invention provides an intelligent pupil real-time monitoring alarm system, comprising:

[0006] A data acquisition module, which is used to acquire pupil images of patients;

[0007] An image analysis mode determination module, which is used to determine whether to perform dynamic analysis or static analysis on the patient's pupil image according to the difference between the maximum value and the minimum value of the patient's pupil diameter during monitoring;

[0008] An abnormal state determination module, which is used to determine the abnormal state evaluation value of the pupil in the case of dynamic analysis or static analysis;

[0009] an early warning mode determination module, which is used to determine the early warning level for the pupil abnormal state according to the comparison result of the abnormal state evaluation value and the preset abnormal state evaluation value, so as to determine whether to issue a no-earning prompt at the corresponding early warning level or to determine the sensitivity of the patient's pupil to light reaction according to the contraction rate of the patient's pupil, so as to determine the adjustment of the number of pupil images or the monitoring cycle under the corresponding analysis situation;

[0010] An adjustment module is used to determine the stability of the pupil contraction state according to the difference in pupil contraction rate during the monitoring process, so as to determine the adjustment of the early warning parameter standard based on the stability, wherein the early warning parameter standard includes a preset abnormal state evaluation value.

[0011] Furthermore, the image analysis method determination module is used to perform static analysis on the pupil image based on the condition that the difference between the maximum and minimum values ​​of the patient's pupil diameter is less than or equal to a preset difference, and the static analysis is to analyze a single pupil image.

[0012] Furthermore, the image analysis method determination module is used to perform dynamic analysis on the pupil image based on the condition that the difference between the maximum and minimum values ​​of the patient's pupil diameter is greater than a preset difference, and the dynamic analysis is to analyze several pupil images simultaneously.

[0013] Furthermore, the abnormal state determination module is used to determine the abnormal state evaluation value of the pupil based on the edge smoothness of the pupil and the diameter of the pupil in a single image under the condition of static analysis.

[0014] Furthermore, the abnormal state determination module is used to determine the abnormal state evaluation value of the pupil based on the average value of the edge smoothness of the pupil and the average value of the pupil diameter in a plurality of images under the condition of dynamic analysis.

[0015] Further, the early warning mode determination module determines not to issue an early warning under the condition that the abnormal state evaluation value is less than or equal to a first preset abnormal state evaluation value.

[0016] Furthermore, the early warning mode determination module determines to issue an early warning to alert the doctor that there is an abnormality in the patient's condition under the condition that the abnormal state evaluation value is greater than a first preset abnormal state evaluation value and less than a second preset abnormal state evaluation value, and determines to adjust the number of analyzed images or the monitoring period based on the sensitivity of the pupil's response to light.

[0017] Furthermore, the early warning mode determination module determines to issue an early warning to prompt a doctor to perform manual intervention on the patient under the condition that the abnormal state evaluation value is greater than or equal to a second preset abnormal state evaluation value.

[0018] Furthermore, the adjustment module determines the adjustment of the early warning mode according to the comparison result that the stability evaluation value is greater than a preset stability evaluation value.

[0019] Furthermore, the adjustment module adjusts the preset abnormal state evaluation value according to the adjustment coefficient under the condition that the stability evaluation value is less than or equal to the preset stability evaluation value, wherein the preset abnormal state evaluation value includes a first preset abnormal state evaluation value and a second preset abnormal state evaluation value.

[0020] Compared with the prior art, the beneficial effect of the present invention is that, by setting the data acquisition module, the present invention can collect the pupil image data of the patient in real time, thereby realizing real-time monitoring of the pupil data.

[0021] Furthermore, the present invention sets the image analysis method determination module to perform dynamic analysis or static analysis on the patient's pupil image according to the determination of the maximum and minimum values ​​of the patient's pupil diameter during the monitoring process. When the comparison result of the difference between the maximum and minimum values ​​of the patient's pupil diameter and the preset difference is different, a different image analysis method is selected for the pupil image, thereby improving the accuracy of the monitoring data analysis.

[0022] Furthermore, the present invention can further improve the accuracy of monitoring data analysis by setting the abnormal state determination module to determine the abnormal state evaluation value of the pupil under different image analysis methods.

[0023] Furthermore, the present invention sets the warning mode determination module to determine the warning mode according to the comparison result between the abnormal state evaluation value and the preset abnormal state evaluation value. When the comparison results are different, different warning modes are selected, thereby improving the accuracy of the warning results.

[0024] Furthermore, the present invention sets the early warning mode determination module. Under the condition that the abnormal state evaluation value is greater than the first preset abnormal state evaluation value and less than the second preset abnormal state evaluation value, the system issues an early warning to prompt the doctor that the patient's condition is abnormal, and determines the adjustment of the number of analyzed images or the monitoring cycle based on the sensitivity of the pupil's response to light and the size of the pupil. When the patient's condition is abnormal, the adjustment of the number of analyzed images or the monitoring cycle can further improve the accuracy of the early warning results.

[0025] Furthermore, the present invention sets the adjustment module to determine the adjustment of the early warning mode according to the comparison result between the stability evaluation value and the preset stability evaluation value, which can further improve the accuracy of the analysis results of the monitoring data and thus improve the accuracy of the early warning results. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural schematic diagram of the intelligent pupil real-time monitoring and alarm system according to an embodiment of the present invention;

[0027] Figure 2 A flowchart of the image analysis method determination module of the intelligent pupil real-time monitoring and alarm system according to an embodiment of the present invention;

[0028] Figure 3 It is a working flow chart of the early warning mode determination module of the intelligent pupil real-time monitoring alarm system according to the embodiment of the present invention;

[0029] Figure 4 This is a workflow diagram of the adjustment module of the intelligent pupil real-time monitoring and alarm system described in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0032] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0033] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0034] See also Figure 1-Figure 4 As shown, Figure 1 It is a structural schematic diagram of the intelligent pupil real-time monitoring and alarm system according to an embodiment of the present invention; Figure 2 A flowchart of the image analysis method determination module of the intelligent pupil real-time monitoring and alarm system according to an embodiment of the present invention; Figure 3 It is a working flow chart of the early warning mode determination module of the intelligent pupil real-time monitoring alarm system according to the embodiment of the present invention; Figure 4 This is a workflow diagram of the adjustment module of the intelligent pupil real-time monitoring and alarm system described in an embodiment of the present invention.

[0035] The intelligent pupil real-time monitoring alarm system of the embodiment of the present invention comprises:

[0036] A data acquisition module, which is used to acquire pupil images of patients;

[0037] An image analysis mode determination module, which is connected to the data acquisition module and is used to determine whether to perform dynamic analysis or static analysis on the patient's pupil image according to the difference between the maximum and minimum values ​​of the patient's pupil diameter during monitoring;

[0038] An abnormal state determination module, which is used together with the image analysis mode determination module to determine the abnormal state evaluation value of the pupil under different analysis modes;

[0039] an early warning mode determination module, which is connected to the abnormal state determination module and is used to determine an early warning mode for the pupil abnormal state according to a comparison result between the abnormal state evaluation value and a preset abnormal state evaluation value;

[0040] An adjustment module is connected to the early warning mode determination module and is used to determine the adjustment of the early warning mode according to the stability of the pupil contraction state during the monitoring process.

[0041] Specifically, the image analysis method determination module determines the analysis method of the patient's pupil image according to the comparison result of the difference between the maximum value and the minimum value of the patient's pupil diameter during the monitoring process and the preset difference;

[0042] If the difference between the maximum value and the minimum value of the patient's pupil diameter is less than or equal to the preset difference, the image analysis mode determination module determines that the image analysis mode is static analysis;

[0043] If the difference between the maximum and minimum values ​​of the patient's pupil diameter is greater than a preset difference, the image analysis method determination module determines that the image analysis method is dynamic analysis.

[0044] Specifically, the static analysis is to analyze a single pupil image; and the dynamic analysis is to analyze several pupil images simultaneously.

[0045] In the embodiment of the present invention, the preset difference value is the average value of the diameter difference of the pupil contraction and dilation of several patients with impaired consciousness.

[0046] Specifically, the abnormal state determination module determines the abnormal state evaluation value based on the edge smoothness and pupil size of the pupil in a single image under the condition of static analysis mode;

[0047] The abnormal state evaluation value under the static analysis method is determined according to the following formula and is set:

[0048]

[0049] Among them, P1 represents the abnormal state evaluation value under static analysis mode, Q represents the edge smoothness, and Q max represents the maximum value of edge smoothness, A represents the diameter of the pupil, and A v Represents the average value of normal pupil diameter.

[0050] Specifically, the abnormal state determination module determines the abnormal state evaluation value based on the average value of the edge smoothness of the pupil and the average value of the pupil size in a plurality of images in a dynamic analysis mode;

[0051] The abnormal state evaluation value under the dynamic analysis method is determined and set according to the following formula:

[0052]

[0053] Among them, P2 represents the abnormal state evaluation value under dynamic analysis mode, represents the average value of edge smoothness of several pupil images, Q max represents the maximum value of edge smoothing, A represents the average pupil diameter of several pupil images, and A v Represents the average value of normal pupil diameter.

[0054] Specifically, the warning mode determination module determines the warning mode according to the comparison result between the abnormal state evaluation value and the preset abnormal state evaluation value;

[0055] If the abnormal state evaluation value is less than or equal to the first preset abnormal state evaluation value, the warning mode determination module determines the warning mode as the first level warning;

[0056] If the abnormal state evaluation value is greater than the first preset abnormal state evaluation value and less than the second preset abnormal state evaluation value, the early warning mode determination module determines the early warning mode as a level 2 early warning;

[0057] If the abnormal state evaluation value is greater than or equal to the second preset abnormal state evaluation value, the early warning mode determination module determines the early warning mode as the third level early warning.

[0058] In an embodiment of the present invention, the first preset abnormal state evaluation value is 0.1, which is obtained by obtaining the average value of the abnormal state evaluation values ​​of the pupils of normal people; the second preset abnormal state evaluation value is 0.7, which is obtained by obtaining the average value of the abnormal state evaluation values ​​of the pupils of patients when they are not in danger of life.

[0059] Specifically, when the warning mode is level one warning, the system does not issue a warning prompt.

[0060] Specifically, when the warning mode is a level 2 warning, the system issues a warning to remind the doctor that the patient's condition is abnormal, and determines the adjustment of the number of analyzed images or the monitoring period based on the sensitivity of the patient's pupil response to light.

[0061] Specifically, the adjustment of the number of analyzed images or the monitoring period determined based on the sensitivity of the patient's pupil to light reaction includes determining the adjustment method according to the comparison result of the difference between the sensitivity to light reaction and the preset sensitivity and the preset sensitivity difference;

[0062] If the difference between the sensitivity of the light reaction and the preset sensitivity is less than or equal to the preset sensitivity difference, adjusting the number of analyzed images;

[0063] If the difference between the sensitivity of the light reaction and the preset sensitivity is greater than the preset sensitivity difference, the monitoring period is adjusted.

[0064] Specifically, the pupil's sensitivity to light is determined according to the following formula, setting:

[0065]

[0066] Among them, S represents the sensitivity to light reaction, V represents the contraction rate of the pupil, and V minIndicates the minimum value of the shrinkage rate, V max Indicates the maximum value of the shrinkage rate.

[0067] In the embodiment of the present invention, the preset sensitivity value is 0.8, and the preset sensitivity difference value is 0.1.

[0068] Specifically, the adjustment to the number of analyzed images is to increase the number of analyzed images to twice the number of original images; the adjustment to the monitoring period is to extend the monitoring period to twice the original monitoring period.

[0069] Specifically, when the warning mode is level three, the system issues a warning to prompt the doctor to perform manual intervention on the patient.

[0070] Specifically, the adjustment module determines the adjustment of the early warning mode according to the comparison result of the stability evaluation value of the pupil contraction state during the monitoring process and the preset stability evaluation value;

[0071] If the stability evaluation value is less than or equal to a preset stability evaluation value, the adjustment module adjusts the preset abnormal state evaluation value according to the adjustment coefficient, wherein the preset abnormal state evaluation value includes a first preset abnormal state evaluation value and a second preset abnormal state evaluation value;

[0072] If the stability evaluation value is greater than the preset stability evaluation value, the adjustment module does not adjust the early warning mode.

[0073] Specifically, the stability evaluation value is calculated according to the following formula, setting:

[0074]

[0075] Among them, R represents the stability evaluation value, ΔV represents the difference in pupil contraction rate within a fixed time interval, and ΔV max Indicates the maximum value of the difference in pupil contraction rate.

[0076] In the embodiment of the present invention, the preset stability evaluation value is 0.8.

[0077] Specifically, the adjustment coefficient is Here, ΔR represents the difference between the stability evaluation value and the preset stability evaluation value.

[0078] In the embodiment of the present invention, the adjusted first preset abnormal state evaluation value is set to P3, and P3=P1×X1 is set; the adjusted second preset abnormal state evaluation value is set to P4, and P4=P2×X1 is set.

[0079] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0080] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent pupil real-time monitoring alarm system, characterized in that: include: A data acquisition module, which is used to acquire pupil images of patients; An image analysis mode determination module, which is used to determine whether to perform dynamic analysis or static analysis on the patient's pupil image according to the difference between the maximum value and the minimum value of the patient's pupil diameter during monitoring; An abnormal state determination module, which is used to determine the abnormal state evaluation value of the pupil in the case of dynamic analysis or static analysis; an early warning mode determination module, which is used to determine the early warning level for the pupil abnormal state according to the comparison result of the abnormal state evaluation value and the preset abnormal state evaluation value, so as to determine whether to issue a no-earning prompt at the corresponding early warning level or to determine the sensitivity of the patient's pupil to light reaction according to the contraction rate of the patient's pupil, so as to determine the adjustment of the number of pupil images or the monitoring cycle under the corresponding analysis situation; An adjustment module is used to determine the stability of the pupil contraction state according to the difference in pupil contraction rate during the monitoring process, so as to determine the adjustment of the early warning parameter standard based on the stability, wherein the early warning parameter standard includes a preset abnormal state evaluation value.

2. The intelligent pupil real-time monitoring alarm system according to claim 1 is characterized in that: The image analysis method determination module is used to perform static analysis on the pupil image based on the condition that the difference between the maximum and minimum values ​​of the patient's pupil diameter is less than or equal to a preset difference, and the static analysis is to analyze a single pupil image.

3. The intelligent pupil real-time monitoring alarm system according to claim 1 is characterized in that: The image analysis method determination module is used to perform dynamic analysis on the pupil image based on the condition that the difference between the maximum value and the minimum value of the patient's pupil diameter is greater than a preset difference, and the dynamic analysis is to analyze several pupil images simultaneously.

4. The intelligent pupil real-time monitoring alarm system according to claim 2 is characterized in that: The abnormal state determination module is used to determine the abnormal state evaluation value of the pupil based on the edge smoothness of the pupil and the diameter of the pupil in a single image under the condition of static analysis.

5. The intelligent pupil real-time monitoring alarm system according to claim 3 is characterized in that: The abnormal state determination module is used to determine the abnormal state evaluation value of the pupil based on the average value of the edge smoothness of the pupil and the average value of the pupil diameter in a plurality of images under the condition of dynamic analysis.

6. The intelligent pupil real-time monitoring alarm system according to claim 4 or 5, characterized in that: The early warning mode determination module determines not to issue an early warning under the condition that the abnormal state evaluation value is less than or equal to a first preset abnormal state evaluation value.

7. The intelligent pupil real-time monitoring alarm system according to claim 4 or 5, characterized in that: The early warning mode determination module determines to issue an early warning to prompt the doctor that there is an abnormality in the patient's condition under the condition that the abnormal state evaluation value is greater than the first preset abnormal state evaluation value and less than the second preset abnormal state evaluation value, and determines to adjust the number of analyzed images or the monitoring period based on the sensitivity of the pupil's response to light.

8. The intelligent pupil real-time monitoring alarm system according to claim 4 or 5, characterized in that: The early warning mode determination module determines to issue an early warning to prompt a doctor to perform manual intervention on the patient under the condition that the abnormal state evaluation value is greater than or equal to a second preset abnormal state evaluation value.

9. The intelligent pupil real-time monitoring alarm system according to claim 1 is characterized in that: The adjustment module determines the adjustment of the early warning mode according to the comparison result that the stability evaluation value is greater than the preset stability evaluation value.

10. The intelligent pupil real-time monitoring alarm system according to claim 1 is characterized in that: The adjustment module adjusts the preset abnormal state evaluation value according to the adjustment coefficient under the condition that the stability evaluation value is less than or equal to the preset stability evaluation value, wherein the preset abnormal state evaluation value includes a first preset abnormal state evaluation value and a second preset abnormal state evaluation value.

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