CN113397544B

CN113397544B - Patient emotion monitoring method and system

Info

Publication number: CN113397544B
Application number: CN202110638120.4A
Authority: CN
Inventors: 王倩; 张玉; 王微丽; 苏飞雁; 孙殿珉; 段星光; 赵洪华; 马昕; 张永峰; 成金玲; 张跃忠; 刘爱芹; 孙鸿昌
Original assignee: Cancer Hospital of Shandong First Medical University
Current assignee: Cancer Hospital of Shandong First Medical University
Priority date: 2021-06-08
Filing date: 2021-06-08
Publication date: 2022-06-07
Anticipated expiration: 2041-06-08
Also published as: CN113397544A

Abstract

A patient emotion monitoring method and system comprises the following steps: acquiring physiological monitoring data of a patient; acquiring explicit behavior data of the patient after the physiological monitoring data exceeds a physiological threshold or when the physiological monitoring data is missing; and if the explicit behavior data show that the patient is in a dangerous state, sending an alarm prompt. According to the method, the condition of the physiological influence of one hand and direct emotion is obtained according to the physiological monitoring data, and the external behavior is detected, so that the patient is continuously and stably monitored, the emotion of the patient can be managed based on the monitoring data or the trend generated by the monitoring data, and various adverse consequences caused by poor emotion of the patient are avoided.

Description

Patient emotion monitoring method and system

Technical Field

The application relates to a patient emotion monitoring method and system.

Background

For the patient, the primary problem is to treat the affected part timely, but in the treatment process, due to the change of the environment where the patient is located, uncertainty of medical treatment proceeding and the like, great physical and psychological stress is caused to the patient, and in the process, since the medical staff are in a relatively tense state, it is obviously not practical if the medical staff are required to perform comprehensive monitoring on the patient. However, the emotion of the patient actually directly affects the treatment, and even the patient sometimes self-injures and self-mutilation phenomenon occurs, so that serious doctor-patient contradiction is caused.

Disclosure of Invention

In order to solve the above problem, in one aspect, the present application provides a method for monitoring emotion of a patient, including the following steps:

acquiring physiological monitoring data of a patient;

acquiring explicit behavior data of the patient after the physiological monitoring data exceeds a physiological threshold or when the physiological monitoring data is missing;

and if the explicit behavior data show that the patient is in a dangerous state, an alarm prompt is sent. According to the method, through two steps of monitoring data, firstly, the condition of the physiological influence of one-hand and direct emotion is obtained according to the physiological monitoring data, and then the external performance of the physiological influence is combined to detect the external behavior, so that a continuous and stable monitoring for the patient is obtained, the emotion of the patient can be managed based on the monitoring data or the trend generated by the monitoring data, and various adverse consequences caused by poor emotion of the patient are avoided.

Preferably, the explicit behavior data comprises a specific geographical location of the patient and a characteristic characterization of the patient.

Preferably, the specific geographical location comprises a GPS location and an accurate location address by image recognition and/or RFID location. The patient can be effectively and continuously monitored after leaving contact monitoring, continuous and stable effective positioning can be carried out through measures such as patient bracelets, powerful intervention is provided from the external intervention angle, the open setting of the dining time and the like can be carried out due to different dining times of different hospitals, the occurrence of the situations such as false alarm and the like is avoided, even the individual threshold value and route setting can be carried out on the patient, and the workload of medical workers caused by false alarm is reduced as much as possible.

Preferably, the characteristic characterizing quantity is non-contact physiological data detected by non-contact.

Preferably, the physiological monitoring data is contact monitoring data monitored by contact, and the contact monitoring data comprises heartbeat frequency, blood oxygen content and blood pressure.

Preferably, the dangerous state includes a danger caused by abnormality of the located position and a danger obtained by non-contact physiological data analysis.

Preferably, the characteristic characterization quantity is a pupil diameter of 2.5-3.5mm or a pupil diameter obtained with a rate of change of 0.9-1.1 times with respect to the last time. The present control of utilization that this application adopted the mode of pupil diameter monitoring can be abundant, and judge through the two-stage and reduce the decline of the accuracy of judging because the poor parameter that leads to of control quality, the monitoring quality of improvement. And the pupil is also a direct determination mode for directly reflecting the emotion of the patient, and has a better reference value.

Preferably, the characteristic quantities are monitored as follows:

arranging a plurality of image capturing monitors and enabling the image capturing monitors to continuously monitor pupils of a patient to obtain monitoring videos;

processing the monitoring video of the pupil to obtain monitoring data, and setting a monitoring threshold value for the monitoring data;

in the process of continuous monitoring, if the monitoring data exceeds a monitoring threshold, a plurality of monitoring pictures are obtained by taking pictures through the image-taking monitor;

analyzing the monitoring picture to obtain further analyzed data, and if the data exceeds a control threshold, performing alarm processing;

the monitoring video is processed according to the following method:

taking out a plurality of extracted pictures from the monitoring video according to 5-10 frames/s;

cutting the eye part of the extracted image to obtain a picture to be detected, and then carrying out binarization processing on the eye part of the picture to be detected to obtain a binarization image to be detected with eyes and/or eyeballs;

judging whether the binary image to be detected exceeds a monitoring threshold value;

the monitoring video is processed according to the following method: the monitoring threshold value comprises a plurality of binarization comparison images, the binarization comparison images comprise a plurality of binarization images of normal pupils and a plurality of binarization images of abnormal pupils, and the obtained binarization images to be detected are compared with the binarization comparison images;

if the image to be detected is similar to the binarized image of the abnormal pupil after being compared, acquiring a monitoring image, if alarm processing is carried out at the later stage, adding the binarized image to be detected into the binarized image of the abnormal pupil in the detection threshold value after the alarm processing, or deleting or adding the binarized image of the normal pupil in the detection threshold value;

and if the binarization image of the monitoring picture is determined to be the binarization image of the normal pupil, directly taking the picture to be detected as a new monitoring picture for further analysis.

Preferably, if the binary image to be detected is not similar to the binary image of the abnormal pupil after being compared with the binary image of the normal pupil, the monitoring image is obtained, if the alarm processing is carried out in the later period, the binary image to be detected is added into the binary image of the abnormal pupil, and if the alarm processing is not carried out in the later period, the monitoring image is added into the binary image of the normal pupil.

On the other hand, a patient emotion monitoring system is also disclosed, which comprises:

a physiological monitoring module: the system comprises an external monitoring module, a physiological monitoring module and a data processing module, wherein the external monitoring module is used for acquiring physiological monitoring data of a patient and calling the external monitoring module after the physiological monitoring data exceeds a physiological threshold or when the physiological monitoring data is lost;

and (3) an external monitoring module: the system is used for acquiring the explicit behavior data and sending an alarm prompt if the explicit behavior data show that the patient is in a dangerous state.

This application can bring following beneficial effect:

1. according to the method, the condition of the physiological influence of one hand and direct emotion is obtained according to the physiological monitoring data, and then the detection of the explicit behavior is carried out by combining the external performance of the physiological monitoring data, so that the patient is continuously and stably monitored, the emotion management of the patient can be carried out based on the monitoring data or the trend generated by the monitoring data, and various adverse consequences caused by poor emotion of the patient are avoided;

2. the system can carry out effective continuous monitoring after the patient leaves the contact monitoring, and can carry out continuous and stable effective positioning through measures such as the patient bracelet and the like, thereby providing a powerful intervention from the external intervention angle, certainly because different hospitals have different dining times, the dining time and the like can be set in an open mode, the occurrence of the situations such as false alarm and the like is avoided, even the individual threshold value and route setting can be carried out on the patient, and the unnecessary increase of the workload of medical care personnel caused by false alarm is reduced as much as possible;

3. the present control of utilization that this application adopted the mode of pupil diameter monitoring can be abundant, and judge through the two-stage and reduce the decline of the accuracy of judging because the poor parameter that leads to of control quality, the monitoring quality of improvement. And the pupil is also a direct determination mode for directly reflecting the emotion of the patient, and has a better reference value.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic view of example 1;

FIG. 2 is a schematic view of example 2.

Detailed Description

In order to clearly explain the technical features of the present invention, the present application will be explained in detail by the following embodiments in combination with the accompanying drawings.

As shown in the drawings, the following detailed description is given by way of example in order to more clearly explain the overall concept of the present application.

In addition, in the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", and the like, indicate orientations and positional relationships based on those shown in the drawings, are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.

In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; the connection can be mechanical connection, electrical connection or communication; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.

In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

In a first embodiment, as shown in fig. 1, a method for monitoring a mood of a patient includes the steps of:

s101, acquiring physiological monitoring data of a patient;

the physiological monitoring data are contact monitoring data monitored by contact, and the contact monitoring data comprise heartbeat frequency, blood oxygen content and blood pressure.

S102, acquiring explicit behavior data of the patient after the physiological monitoring data exceeds a physiological threshold or when the physiological monitoring data is missing;

the explicit behavior data includes a specific geographic location of the patient and a characterization of the patient.

The specific geographic location includes a GPS location and an accurate location address by image recognition and/or RFID location. So that a specific floor or even a specific room can be located.

The characteristic quantity is non-contact physiological data detected by non-contact. Specifically, the characteristic amount is 2.5 to 3.5mm of pupil diameter or 0.9 to 1.1 times of the rate of change of the obtained pupil diameter with respect to the last time.

The characteristic characterization quantity is monitored according to the following method:

analyzing the monitoring picture to obtain further analyzed data, and if the data exceeds a control threshold value, performing alarm processing; the first-stage judgment is rough judgment in nature, so that any pupil monitoring data can not be passed, and the second-stage judgment can be carried out in a parameter judgment mode, so that more accurate monitoring data can be obtained.

The monitoring video is processed according to the following method:

the monitoring video is processed according to the following method: the monitoring threshold value comprises a plurality of binarization comparison images, the binarization comparison images comprise a plurality of binarization images of normal pupils and a plurality of binarization images of abnormal pupils, and the obtained binarization images to be detected are compared with the binarization comparison images; the similarity judgment method is used for judging similarity of the first-level judgment, a parameter judgment method is not used, the main reason is that data in the early stage are too much, misjudgment is easy to occur if parameter judgment is adopted, efficiency is low, the similarity judgment method is used for judging, type judgment can be rapidly carried out, and therefore a foundation is provided for accurate judgment in the next step.

If the image to be detected is not similar to the binarized image of the abnormal pupil after being compared with the binarized image of the normal pupil, acquiring a monitoring image, if alarm processing is carried out at the later stage, adding the binarized image to be detected into the binarized image of the abnormal pupil, or else, adding the binarized image of the normal pupil. This application holds an open attitude to the database of original binary image, at the testing process, prunes the adjustment according to the testing condition, and this has improved the expandability and the referability of binary image database for although the judgement of first order is rough judgement, also can be quick obtain a relatively accurate result, reduce the degree of difficulty of the judgement of second level

S103, if the explicit behavior data show that the patient is in a dangerous state, an alarm prompt is sent out.

The dangerous state comprises dangers caused by abnormality of the position and dangers obtained by non-contact physiological data analysis.

In a second embodiment, a system for monitoring mood of a patient, comprising: the method comprises the following steps:

the physiological monitoring module 201: the system comprises an external monitoring module, a physiological monitoring module and a data processing module, wherein the external monitoring module is used for acquiring physiological monitoring data of a patient and calling the external monitoring module after the physiological monitoring data exceeds a physiological threshold or when the physiological monitoring data is lost;

the explicit monitoring module 202: the system is used for acquiring the explicit behavior data and giving an alarm prompt if the explicit behavior data shows that the patient is in a dangerous state.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for monitoring the mood of a patient, comprising: the method comprises the following steps:

acquiring physiological monitoring data of a patient;

if the explicit behavior data show that the patient is in a dangerous state, an alarm prompt is sent out;

the explicit behavior data comprises a specific geographic location of the patient and a characteristic quantity characteristic of the patient;

arranging a plurality of image capturing monitors and enabling the image capturing monitors to continuously monitor pupils of a patient to obtain monitoring videos; processing a monitoring video of a pupil to obtain monitoring data, wherein the monitoring data is a binary image to be detected with eyes and/or eyeballs obtained through the monitoring video, and a monitoring threshold value is set for the monitoring data, wherein the monitoring threshold value comprises a plurality of binary comparison images, and the binary comparison images comprise a plurality of binary images of normal pupils and a plurality of binary images of abnormal pupils; in the process of continuous monitoring, if the monitoring data exceeds a monitoring threshold, a plurality of monitoring pictures are obtained by taking pictures through the image-taking monitor; and analyzing the monitoring picture to obtain further analyzed data, and if the data exceeds a control threshold, performing alarm processing.

2. A method of mood monitoring for a patient as recited in claim 1, wherein: the specific geographic location includes a GPS location and an accurate location address by image recognition and/or RFID location.

3. A method of mood monitoring for a patient as recited in claim 1, wherein: the characteristic quantity is non-contact physiological data detected by non-contact.

4. A method of mood monitoring for a patient as recited in claim 1, wherein: the physiological monitoring data are contact monitoring data monitored by contact, and the contact monitoring data comprise heartbeat frequency, blood oxygen content and blood pressure.

5. A method of mood monitoring for a patient as recited in claim 1, wherein: the dangerous state comprises dangers caused by abnormality of the position and dangers obtained by non-contact physiological data analysis.

6. A method of mood monitoring for a patient as recited in claim 1, wherein: the characteristic characterization quantity is that the pupil diameter is 2.5-3.5mm or the change rate of the obtained pupil diameter relative to the last time is 0.9-1.1 times.

7. A method of mood monitoring for a patient as recited in claim 1, wherein:

the monitoring video is processed according to the following method:

the monitoring threshold value comprises a plurality of binarization comparison images, the binarization comparison images comprise a plurality of binarization images of normal pupils and a plurality of binarization images of abnormal pupils, and the obtained binarization images to be detected are compared with the binarization comparison images;

if the image to be detected is similar to the binarized image of the abnormal pupil after being compared, acquiring a monitoring image, if the alarm processing is carried out at the later stage, adding the binarized image to be detected into the binarized image of the abnormal pupil in the detection threshold value after the alarm processing, otherwise deleting or adding the binarized image of the normal pupil in the detection threshold value;

8. The method of claim 7, wherein the step of monitoring the mood of the patient comprises: if the image to be detected is not similar to the binarized image of the abnormal pupil after being compared with the binarized image of the normal pupil, acquiring a monitoring image, if alarm processing is carried out at the later stage, adding the binarized image to be detected into the binarized image of the abnormal pupil, or else, adding the binarized image of the normal pupil.

9. A patient mood monitoring system, comprising: the method comprises the following steps:

and (3) an external monitoring module: the system is used for acquiring the explicit behavior data, and giving an alarm prompt if the explicit behavior data shows that the patient is in a dangerous state;