A patient intelligent monitoring system and method
Through contactless, continuous images are used to identify the patient's blink frequency and repetitive actions, and preliminary status judgment is made, which solves the problem of remote monitoring of patients in the prior art that contact instruments are required, real-time monitoring and reducing the workload of medical staff.
Patent Information
- Application Number
- CN202510280063.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2025-04-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, remote patient status monitoring requires real-time data to be obtained through contact monitoring instruments, resulting in long-term discomfort for patients, and the observation end can only obtain detection data, and cannot directly judge the patient's status, so medical staff need real-time monitoring.
It provides a contactless intelligent monitoring system and method for patients, which reduces the workload of medical staff by acquiring continuous images of patients, identifying blink frequency and judging repetitive actions.
Real-time monitoring without contact is achieved, avoiding patient discomfort, and automatic preliminary judgment can be made to reduce the work burden of medical staff.
Smart Images
Figure CN119785409A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent monitoring technology, and in particular to a patient intelligent monitoring system and method. Background Art
[0002] With the advent of the digital age, the status of patients in hospital can also be monitored remotely. However, the current remote status monitoring of patients requires the use of contact monitoring instruments to obtain real-time monitoring data, and then the data is remotely transmitted to the observation end for manual identification and judgment. In this way, patients need to wear monitoring instruments for a long time, which will make them feel uncomfortable for a long time. Moreover, the observation end can only obtain specific test data, but cannot directly judge the current status of the patient, and medical staff still need to monitor in real time. Summary of the invention
[0003] The embodiments of the present application provide a patient intelligent monitoring system and method, which provides a contactless monitoring method, can prevent the patient from being in an uncomfortable real-time monitoring state, and can also make preliminary judgments to reduce the workload of medical staff.
[0004] The specific technical solution of this embodiment is as follows: On the one hand, the present embodiment provides a patient intelligent monitoring method, comprising the following steps: S10, acquiring continuous images of the patient; S20, identifying the patient's blinking frequency based on the continuous images; S30, judging whether the patient has repeated actions based on the continuous images; S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repeated actions; in step S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repeated actions comprises the following steps: in, is the state value, when =1, it is determined that the first abnormal situation exists. =0, it is determined that there is no first abnormal situation; is the first preset value, is the second preset value, , is the first weight, is the second weight, ; in, is the reference parameter, is the preset value, and ; is the first proportional value, which is a preset value; is the second ratio value, is the preset value, and ; is the patient's blink frequency, is the first preset range boundary value, is the second preset range boundary value.
[0005] In some embodiments, in step S20, based on the continuous images, identifying the blinking frequency of the patient includes: S201, obtaining the interval time between adjacent images in the continuous images; S202, obtaining two adjacent closed eye images in the continuous images. and images ;image In the image Before; refers to the image numbered x, refers to the image numbered y; S203, determine whether yx is less than or equal to the first preset parameter ; S204, if it is determined that yx < , based on the interval time between adjacent images in the continuous image, the patient's blinking frequency is obtained. If yx≥ , no action will be taken.
[0006] In some embodiments, in step S30, judging whether the patient has repeated actions based on the continuous images includes: S301, acquiring the images After that, with the image As a benchmark, judge the image Does the z images after that have the same The same action in refers to the image numbered n; S302, if it is determined that the image There are images with the same The same action in the image , Refers to the image numbered m, comparing images in sequence Actions and images in The actions in the image are the same, where b is a reference value, b≤z, and n+b<m, then it is determined that the patient has repeated actions; S303, if it is determined that the image There is no image in the subsequent z images that matches the image The same action image is further represented by the image as the benchmark, and repeat steps S301-303.
[0007] In some of the embodiments, after determining that the patient has a first abnormal condition, the following steps are also included: S50, obtaining the patient's voice decibel; S60, determining whether the patient's voice decibel exceeds a third preset value; S70, if it is determined that the patient's voice decibel exceeds the third preset value, issuing an early warning; S80, if it is determined that the patient's voice decibel does not exceed the third preset value, resetting to repeat steps S10-S40.
[0008] In some of the embodiments, after determining that the patient has a first abnormal condition, the following steps are also included: S50-1, adjusting environmental parameters, and resetting to repeat steps S10-S40.
[0009] In some of these embodiments, the environmental parameters include one or more of temperature, oxygen content, and noise.
[0010] In some embodiments, adjusting the temperature includes the following steps: K10, determining whether there is a temperature difference between the indoor temperature and the outdoor temperature; K20, if there is a temperature difference between the indoor temperature and the outdoor temperature, adjusting the indoor temperature to be closer to the outdoor temperature; Regulating oxygen levels involves the following steps: T10, inputting carbon dioxide into the room so that the indoor oxygen content decreases by a preset difference; Adjusting the noise involves the following steps: P10. Increase the indoor noise level by the preset difference.
[0011] In some embodiments, when the environmental parameter is oxygen content, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the gradient number of oxygen reduction, and ； When the environmental parameter is noise, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the number of gradients increased by the noise, and .
[0012] On the other hand, an embodiment of the present application provides a patient intelligent monitoring system, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement any of the patient intelligent monitoring methods in the above embodiments.
[0013] Compared with the prior art, the embodiments of the present application have the following beneficial effects: The patient intelligent monitoring method provided in the embodiment of the present application can realize intelligent patient monitoring, can monitor patients in real time, and does not require the use of monitoring equipment that contacts the patients, thereby avoiding the patients from being in an inappropriate real-time monitoring state; and can also automatically make preliminary judgments to reduce the workload of medical staff. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0015] Figure 1 It is a flowchart of a patient intelligent monitoring method provided by some embodiments of the present application; Figure 2 This is a flowchart of identifying a patient's blinking frequency based on continuous images provided in some other embodiments of the present application. DETAILED DESCRIPTION
[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.
[0017] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.
[0018] “A and / or B” includes the following three combinations: A only, B only, and a combination of A and B.
[0019] The use of "suitable for" or "configured to" in this application is meant to be open and inclusive language, which does not exclude devices that are suitable for or configured to perform additional tasks or steps. In addition, the use of "based on" is meant to be open and inclusive, because the process, step, calculation or other action "based on" one or more stated conditions or values can be based on additional conditions or values beyond the stated values in practice.
[0020] In this application, the word "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described in this application as "exemplary" is not necessarily to be construed as being preferred or advantageous over other embodiments. The following description is given to enable any technician in the field to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present application can be implemented without using these specific details. In other instances, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present application with unnecessary details. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.
[0021] Clinical studies have found that when patients are in an uncomfortable state, they will have an increased blinking frequency and repetitive movements. When patients are nervous, anxious or stressed, their autonomic nervous system may be disturbed, and the body will naturally produce a series of reactions to cope with this emotional state, resulting in an increased blinking frequency. Especially for certain neurological diseases, such as facial nerve paralysis, an increase in blinking frequency also indicates a recurrence or aggravation of the disease, so it is necessary to detect the patient's blinking frequency. When the patient's body is in an uncomfortable state, they will autonomously perform some repetitive movements to relieve the current physical discomfort. For some neurological diseases, such as tics, patients will also have some involuntary repetitive movements. Therefore, through the detection of repetitive movements, it is possible to quickly know whether the patient is in physical discomfort, or to monitor certain neurological diseases.
[0022] Based on the above content, the present application detects the patient's current state in a contactless manner by identifying the patient's blinking frequency and determining whether the patient has repetitive movements. This can effectively understand the patient's state, thereby avoiding the patient being in an uncomfortable real-time monitoring state, and at the same time reducing the workload of medical staff.
[0023] On the one hand, this embodiment provides a patient intelligent monitoring method, see Figure 1 , including the following steps: S10. Acquire continuous images of the patient.
[0024] In step S10, continuous images of the patient can be obtained through a monitoring camera, and the interval time between adjacent images in the continuous images can be adjusted according to actual conditions, such as by the patient's monitoring level. When the patient's monitoring level is higher, the interval time between adjacent images is shorter. Exemplarily, a monitoring video can be obtained through a camera, and then frame-by-frame images can be obtained based on the monitoring video as continuous images.
[0025] S20, based on the continuous images, identifying the patient's blinking frequency ƒ. Based on the continuous images in step S10, identifying the patient's blinking frequency.
[0026] S30: Based on the continuous images, determine whether the patient has repeated movements. Based on the continuous images in step S10, determine whether the patient has repeated movements.
[0027] S40: Based on the blinking frequency and repetitive motions, determine whether the patient has a first abnormal condition.
[0028] In step S40, the first abnormal situation can be used as a preset signal, that is, when the signal of the first abnormal situation is obtained, the patient can be further monitored in more detail to determine whether the patient has an abnormality. The first abnormal situation can also be used as an early warning to issue an early warning to medical staff so that the medical staff can check it in time.
[0029] In step S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the state value, when =1, it is determined that the first abnormal situation exists. =0, it is determined that there is no first abnormal situation; is the first preset value, is the second preset value, , is the first weight, is the second weight, ; in, is the reference parameter, is the preset value, and ; is the first proportional value, which is a preset value; is the second ratio value, is the preset value, and ; is the patient's blink frequency, is the first preset range boundary value, is the second preset range boundary value.
[0030] Through the configuration of the above embodiment, it is possible to obtain the patient's blinking frequency and the judgment result of whether the patient has repeated movements by acquiring continuous images of the patient, and to judge whether the patient has a first abnormal state according to whether the patient has repeated movements and the patient's blinking frequency, and then to give instructions for the next step, which may be to increase the patient's monitoring level or to issue an early warning so that medical staff can increase the frequency of checking. The patient intelligent monitoring method provided by the above embodiment does not require contact with the patient, can avoid the monitored patient from being in an uncomfortable state, can also realize real-time monitoring, and can obtain a preliminary judgment, thereby reducing the workload of medical staff.
[0031] In some of these examples, see Figure 2 In step S20, based on the continuous images, identifying the patient's blinking frequency includes: S201, obtaining the interval time between adjacent images in the continuous images. The interval time between adjacent images can be directly obtained according to a preset rule. The preset rule can be to directly obtain adjacent images according to the acquisition time interval of adjacent images in the continuous images.
[0032] S202: Acquire two adjacent closed-eye images in the continuous images and images ;image In the image Before. refers to the image numbered x, refers to the image numbered y.
[0033] S203: Determine whether yx is less than or equal to a first preset parameter In step S203, the acquired images are numbered, for example, the first acquired image is numbered 1, the second image is numbered 2, and so on, wherein the two closed-eye images acquired are x and y, respectively, and because image y is after image x, the number of image y is greater than the number of image x, and yx is a positive value at this time.
[0034] S204, if it is determined that yx < , based on the interval time between adjacent images in the continuous images, the patient's blinking frequency is obtained. In step S204, the first preset parameter is also a preset integer, by judging whether yx is less than the first preset parameter , so that the patient's blinking frequency is higher than the preset value, the patient's blinking frequency will be obtained at this time. If it is determined that yx≥ , no action will be taken.
[0035] In the above embodiment, in the process of obtaining the patient's blinking frequency, when the patient's blinking frequency exceeds the preset value, the blinking frequency is obtained to avoid obtaining too many parameters and affecting the system operation. In addition, the obtained blinking frequency can be made more targeted to determine whether further monitoring of the patient is needed.
[0036] In some embodiments, in step S30, judging whether the patient has repeated actions based on the continuous images includes: S301: Get the image After that, with the image As a benchmark, judge the image Does the x images after the image match the image? The same action in refers to the image numbered n; S302: If the image is determined There are images with the same The same action in the image , Refers to the image numbered m, and compares the images in sequence Actions and images in Whether the actions in are the same, where b is the reference value, b≤z, and n+b<m, then it is determined that the patient has repeated actions.
[0037] S303: If the image is determined There is no image in the subsequent z images that matches the image The same action image is further as the benchmark, and repeat steps S301-303.
[0038] In the above embodiment, for the convenience of description, the image For image number 5, image Taking the image No. 10 as an example, when the image No. 10 has the same action as the image No. 5, the images No. 6 and No. 11, No. 7 and No. 12, No. 8 and No. 13, and No. 9 and No. 14 can be compared in sequence. If the actions in the compared image groups are the same, it is determined that the patient has repeated actions. Through this setting, it is possible to accurately determine whether the patient has repeated actions, so as to further determine whether the patient has the first abnormal condition.
[0039] In some embodiments, after determining that the patient has a first abnormal condition, the method further includes the following steps: S50, obtaining the patient's voice decibel; S60, determining whether the patient's voice decibel exceeds a third preset value; S70, if it is determined that the patient's voice decibel exceeds a third preset value, an early warning is issued; S80. If it is determined that the patient's voice decibel does not exceed the third preset value, reset to repeat steps S10-S40.
[0040] In the above embodiment, after obtaining the first abnormal condition of the patient, the patient is further monitored and judged, and whether the patient needs further monitoring can be further judged by the patient's current voice decibel value. If the patient's voice decibel does not exceed the third preset value, the steps S10-S40 are repeated, and the patient's repeated movements and the patient's blinking frequency are obtained again based on the patient's continuous images, until the patient is obtained to have the first abnormal condition, and the patient's voice decibel exceeds the third preset value, then subsequent actions are taken, such as medical staff rushing to the scene for inspection, or increasing the monitoring level.
[0041] In some embodiments, after determining that the patient has a first abnormal condition, the method further includes the following steps: S50-1. Adjust environmental parameters and reset to repeat steps S10-S40.
[0042] In the above embodiment, after the environmental parameters are adjusted, the patient's status can be further determined based on the patient's subsequent status to determine whether subsequent actions are required.
[0043] In some embodiments, the environmental parameters include one or more of temperature, oxygen content and noise. In the above embodiments, after the patient has the first abnormal condition, the temperature and oxygen content of the patient's environment can be selectively changed, or a method of making noise can be selected, and then steps S10-S40 are repeated. In different embodiments, two of them can be changed, or all parameters can be changed.
[0044] In some embodiments, adjusting the temperature comprises the following steps: K10. Determine whether there is a temperature difference between the indoor temperature and the outdoor temperature; K20. If there is a temperature difference between the indoor temperature and the outdoor temperature, adjust the indoor temperature to be close to the outdoor temperature; Regulating oxygen levels involves the following steps: T10, inputting carbon dioxide into the room so that the indoor oxygen content decreases by a preset difference; Adjusting the noise involves the following steps: P10. Increase the indoor noise level by the preset difference.
[0045] In the above embodiment, the indoor temperature of the patient is usually a more suitable temperature. When the indoor temperature is higher than the outdoor temperature, it is easier to adjust the indoor temperature to the outdoor temperature. Moreover, for the patient, because the patient is more sensitive to the temperature that meets the season in different seasons, if the patient can still respond autonomously when feeling the temperature change, it means that the patient is not in discomfort, or the discomfort is relatively mild. Then, the steps S10-S40 are further repeated to further observe the patient to reduce false alarms. The temperature adjustment in this way can make the monitoring of the patient better. By increasing the indoor carbon dioxide content to reduce the oxygen content, the patient's mobility can be reduced. Then, the steps S10-S40 are further repeated to further observe the patient to reduce false alarms. The principle of increasing the indoor noise decibel is similar, which is used to detect the patient's current autonomy to further determine the patient's current state. Then, the steps S10-S40 are further repeated to further observe the patient to reduce false alarms.
[0046] In some embodiments, when the environmental parameter includes oxygen content, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the gradient number of oxygen reduction, and ； When the environmental parameter includes noise, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the number of gradients increased by the noise, and .
[0047] In the above embodiment, when the adjusted environmental parameter is oxygen content, that is, after reducing the indoor oxygen content, when steps S10-S40 are repeated again, step S40 is adjusted at this time, and the process is performed according to the adjusted method, so that the final monitoring effect can be more accurate. Similarly, when the adjusted environmental parameter is noise, that is, the indoor noise decibel is increased according to the preset difference, step S40 is adjusted accordingly at this time, and the process is performed according to the adjusted method, so that the final monitoring effect can be more accurate.
[0048] On the other hand, an embodiment of the present application provides a patient intelligent monitoring system, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement any of the patient intelligent monitoring methods in the above embodiments.
[0049] Specific examples are used in this application to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core idea of this application. At the same time, for technical personnel in this field, according to the idea of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on this application.
Claims
1. A patient intelligent monitoring method, characterized in that: The following steps are involved: S10, acquiring continuous images of the patient; S20, identifying the patient's blinking frequency based on the continuous images; S30, judging whether the patient has repeated actions based on the continuous images; S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion; In step S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the state value, when =1, it is determined that the first abnormal situation exists. =0, it is determined that there is no first abnormal situation; is the first preset value, is the second preset value, , is the first weight, is the second weight, ; in, is the reference parameter, is the preset value, and ; is the first proportional value, which is a preset value; is the second ratio value, is the preset value, and ; is the patient's blink frequency, is the first preset range boundary value, is the second preset range boundary value.
2. The patient intelligent monitoring method according to claim 1, characterized in that: In step S20, based on the continuous images, identifying the blinking frequency of the patient includes: S201, obtaining the interval time between adjacent images in continuous images; S202: Acquire two adjacent closed-eye images in the continuous images and images ;image In the image Before; refers to the image numbered x, refers to the image numbered y; S203: Determine whether yx is less than or equal to a first preset parameter ; S204, if it is determined that yx < , based on the interval time between adjacent images in the continuous image, the patient's blinking frequency is obtained. If yx≥ , no action will be taken.
3. The patient intelligent monitoring method according to claim 1, characterized in that: In step S30, judging whether the patient has repeated actions based on the continuous images includes: S301: Get the image After that, with the image As a benchmark, judge the image Does the z images after that have the same The same action in refers to the image numbered n; S302: If the image is determined There are images in the z images after The same action in the image , Refers to the image numbered m, and compares the images in sequence Actions and images in If the actions in are the same, where b is the reference value, b≤z, and n+b<m, then the patient is judged to have repeated actions; S303: If the image is determined There is no image in the subsequent z images that matches the image The same action image is further represented by the image as the benchmark, and repeat steps S301-303.
4. The patient intelligent monitoring method according to claim 1, characterized in that: After determining that the patient has the first abnormal condition, the following steps are also included: S50, obtaining the patient's voice decibel; S60, determining whether the patient's voice decibel exceeds a third preset value; S70, if it is determined that the patient's voice decibel exceeds a third preset value, an early warning is issued; S80. If it is determined that the patient's voice decibel does not exceed the third preset value, reset to repeat steps S10-S40.
5. The patient intelligent monitoring method according to claim 1, characterized in that: After determining that the patient has the first abnormal condition, the following steps are also included: S50-1. Adjust environmental parameters and reset to repeat steps S10-S40.
6. The patient intelligent monitoring method according to claim 5, characterized in that: The environmental parameters include one or more of temperature, oxygen content and noise.
7. The patient intelligent monitoring method according to claim 6, characterized in that: Adjusting the temperature involves the following steps: K10. Determine whether there is a temperature difference between the indoor temperature and the outdoor temperature; K20. If there is a temperature difference between the indoor temperature and the outdoor temperature, adjust the indoor temperature to be close to the outdoor temperature; Regulating oxygen levels involves the following steps: T10, inputting carbon dioxide into the room so that the indoor oxygen content decreases by a preset difference; Adjusting the noise involves the following steps: P10. Increase the indoor noise level by the preset difference.
8. The patient intelligent monitoring method according to claim 6, characterized in that: When the environmental parameter is oxygen content, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the gradient number of oxygen reduction, and ； When the environmental parameter is noise, in the step of repeating steps S10-S40, judging whether the patient has a first abnormal condition based on the blinking frequency and the repetitive motion includes the following steps: in, is the number of gradients increased by the noise, and .
9. A patient intelligent monitoring system, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the patient intelligent monitoring method according to any one of claims 1 to 8.