An eye movement information acquisition method and device for patients with claustrophobia

Abstract

The application provides an eye movement information collection method and device for claustrophobic patients, which comprises the following steps: real-time monitoring of the claustrophobic state of the patient and collection of the eye movement information of the patient through a wearing state detection device and an eye movement collection device. In the process of playing a specific target scene to reduce the claustrophobic state of the patient, the system will be flexibly adjusted according to the real-time state of the patient. When the patient is in a collectable state, that is, the claustrophobic state is lower than a preset value and lasts for a preset time, the system will pause the scene playing and collect the eye movement information; if the state of the patient becomes uncollectable, the system will resume the scene playing to relieve anxiety until the patient enters the collectable state again. The application can realize the collection of the eye movement information of the claustrophobic patients and improve the effectiveness of the collected data.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and in particular to a method and device for collecting eye movement information for patients with claustrophobia. Background Technology

[0002] In medical diagnosis, eye movement (EM) data is crucial for assessing a patient's condition and disease progression. However, collecting EEM data from patients with claustrophobia is challenging. Claustrophobia is a common anxiety disorder where patients experience extreme fear and anxiety in enclosed or inescapable spaces. Traditional EEM data collection methods require specialized eye-tracking devices, which can trigger anxiety responses in claustrophobic patients, hindering accurate data collection. Therefore, a novel testing method for collecting EEM data from claustrophobic patients is needed to improve physicians' ability to accurately analyze patients' conditions. Summary of the Invention

[0003] In view of this, embodiments of this application provide a method, device, electronic device, and storage medium for collecting eye movement information of patients with claustrophobia, which can realize the collection of eye movement information of patients with claustrophobia and improve the effectiveness of the collected data.

[0004] The technical solution of this application embodiment is implemented as follows: In a first aspect, embodiments of this application provide a method for collecting eye movement information from patients with claustrophobia, the method comprising: A state detection device and an eye-tracking acquisition device are worn by a target patient, wherein the target patient is a claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient; The target scene is played through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; When the state detection device detects that the target patient is in a collectible state, the playback of the target scene stops, and the eye movement information of the target patient is collected; when the state detection device detects that the target patient is in a non-collectible state, the playback of the target scene continues until the state detection device detects that the target patient is in a collectible state again, wherein the collectible state is when the target patient's claustrophobia state is less than a preset claustrophobia value and lasts for a preset time, and the non-collectible state is when the target patient's claustrophobia state is greater than or equal to the preset claustrophobia value and lasts for a preset time; The eye movement information of the target patient is obtained.

[0005] Secondly, embodiments of this application also provide an eye movement information acquisition device for patients with claustrophobia, the device comprising: A wearable module is used to equip a target patient with a state detection device and an eye-tracking acquisition device, wherein the target patient is the claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient; A playback module is used to play a target scene through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; The acquisition module is used to stop playing the target scene and acquire the eye movement information of the target patient when the state detection device detects that the target patient is in an acquireable state; when the state detection device detects that the target patient is in an unacquireable state, it continues playing the target scene until the state detection device detects that the target patient is in an acquireable state again, wherein the acquireable state is when the target patient's claustrophobia state is less than a preset claustrophobia value and lasts for a preset time, and the unacquireable state is when the target patient's claustrophobia state is greater than or equal to the preset claustrophobia value and lasts for a preset time; A collection module is used to obtain the eye movement information of the target patient.

[0006] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the eye movement information acquisition method for claustrophobic patients as described in any of the first aspects.

[0007] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the eye movement information acquisition method for claustrophobic patients as described in any one of the first aspects.

[0008] The embodiments of this application have the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0009] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0010] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0011] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0012] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0013] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a flowchart illustrating steps S101-S103 provided in the embodiments of this application; Figure 2 This is a flowchart illustrating steps S201-S202 provided in the embodiments of this application; Figure 3 This is a flowchart illustrating steps S301-S303 provided in the embodiments of this application; Figure 4 This is a flowchart illustrating steps S401-S402 provided in the embodiments of this application; Figure 5This is a schematic diagram of the eye movement information acquisition device for claustrophobic patients provided in the embodiments of this application; Figure 6 This is a schematic diagram of the composition structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0017] In the following description, references are made to “some embodiments,” which describe a subset of all possible embodiments. However, it is understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0018] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] In the following description, the terms "first, second, third" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0020] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application and is not intended to limit this application.

[0022] See Figure 1 , Figure 1 This is a flowchart illustrating steps S101-S103 of the eye movement information acquisition method for claustrophobia patients provided in this application embodiment, which will be combined with... Figure 1 Steps S101-S103 shown will be explained.

[0023] Step S101: Equip the target patient with a state detection device and an eye-tracking acquisition device, wherein the target patient is the claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient; Step S102: Play the target scene through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; Step S103: When the state detection device detects that the target patient is in a collectible state, stop playing the target scene and collect the eye movement information of the target patient; when the state detection device detects that the target patient is in a non-collectible state, continue playing the target scene until the state detection device detects that the target patient is in a collectible state again, wherein the collectible state is when the target patient's claustrophobia state is less than a preset claustrophobia value and lasts for a preset time, and the non-collectible state is when the target patient's claustrophobia state is greater than or equal to the preset claustrophobia value and lasts for a preset time.

[0024] Step S104: Obtain the eye movement information of the target patient.

[0025] The above-mentioned method for collecting eye movement information from patients with claustrophobia has the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0026] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0027] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0028] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0029] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0030] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being.

[0031] The exemplary steps described above in the embodiments of this application will be explained below.

[0032] In step S101, a state detection device and an eye-tracking acquisition device are worn by the target patient, wherein the target patient is the claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient.

[0033] Here, the target patient (known to be claustrophobic) was fitted with two devices.

[0034] Status monitoring equipment: Its function is to monitor the patient's claustrophobia state. It can be a heart rate acquisition device, skin conductance acquisition device, or brain wave acquisition device. This can be achieved by monitoring the patient's physiological indicators (such as heart rate, skin conductance, brain waves, etc.) or other relevant indicators.

[0035] Eye-tracking acquisition device: This device is used to capture a patient's eye movement information. It can track and record the patient's eye movements, thereby providing data on the patient's visual attention and areas of interest.

[0036] In step S102, the target scene is played through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient.

[0037] Here, the target setting is specifically designed to reduce anxiety in individuals with claustrophobia. This could be an open natural landscape, a tranquil indoor environment, or another setting deemed beneficial to the individual.

[0038] Playing this scene through an eye-tracking device means that the scene is not only shown to the patient, but the patient's eye movement information is also recorded in the process.

[0039] In step S103, when the state detection device detects that the target patient is in a collectible state, the playback of the target scene is stopped, and the eye movement information of the target patient is collected; when the state detection device detects that the target patient is in a non-collectible state, the playback of the target scene continues until the state detection device detects that the target patient is in a collectible state again. The collectible state is defined as the target patient's claustrophobia state being less than a preset claustrophobia value and lasting for a preset time, and the non-collectible state is defined as the target patient's claustrophobia state being greater than or equal to a preset claustrophobia value and lasting for a preset time.

[0040] Here, the patient's claustrophobia has decreased to an acceptable level, below the preset claustrophobia threshold, and this state has persisted for the preset time. In this state, eye movement data can be collected relatively comfortably. When the patient reaches a collectable state, the system pauses playback of the target scene to more accurately capture eye movement information. However, if the patient's claustrophobia rises and exceeds or reaches the preset claustrophobia threshold, and this state persists for the preset time, collecting eye movement data may cause discomfort to the patient. When the patient enters an uncollectable state, the system will continue playing the target scene to help alleviate the patient's anxiety until they return to a collectable state.

[0041] In step S104, the eye movement information of the target patient is obtained.

[0042] Here, the system will eventually successfully collect the patient's eye movement information in a comfortable state, which is of great value for the research and treatment of claustrophobia.

[0043] In some embodiments, the eye-tracking acquisition device is a VR device, and playing a target scene through the eye-tracking acquisition device includes: Playing natural scenery videos through the VR device and using the natural scenery videos as a background can reduce the claustrophobia of the target patients. The natural scenery videos include at least one of the following video elements: sky, mountains, water, flowers and trees, animals, and seasons.

[0044] Eye-tracking devices here can be virtual reality (VR) devices. VR technology can provide an immersive experience, making users feel as if they are in a three-dimensional environment.

[0045] To alleviate claustrophobia in the target patients, the program uses VR devices to play videos of natural scenery as background. Natural scenery is generally considered to have a soothing and relaxing effect, helping to reduce anxiety and stress.

[0046] The mentioned natural scenery videos include at least one of the following elements: sky, mountains, water, flora and fauna, animals, and seasons. These elements are common in the natural environment and are considered to have a positive psychological effect. The sky: The open sky is often associated with a sense of freedom and boundlessness, which helps to alleviate feelings of oppression.

[0047] Mountains: High mountains and majestic mountain ranges can give people a sense of stability and security.

[0048] Water bodies, such as lakes, rivers, or waterfalls, are usually associated with feelings of calm and tranquility.

[0049] Flowers, grasses, and trees: Green plants and flowers are often seen as symbols of life and growth, which can help improve mood.

[0050] Animals: Animal activities and sounds can make the environment more vibrant and make people feel more relaxed.

[0051] Seasons: Different seasons have different colors and atmospheres, such as the lush greenery of spring and the golden hues of autumn, which can provide patients with different emotional experiences.

[0052] By incorporating these natural elements into VR videos, this approach aims to provide claustrophobic patients with a comfortable and natural virtual environment to alleviate their anxiety and fear, while simultaneously collecting their eye movement information within this environment to provide doctors with valuable data on their visual responses and attention patterns.

[0053] In some embodiments, the method further includes: The collected eye-tracking information is screened and the effective data after screening is saved; wherein, the screening process includes at least one of the following: Remove eye movement data that does not contain a target point from the eye movement data; Remove eye movement data from the eye movement data whose eye movement speed is greater than a preset speed; Remove squinting eye movement data from the eye movement data; Remove eye movement data from the eye movement data in which the eye jitter rate during eye movement is greater than a preset jitter value; Remove eye-tracking data in which the claustrophobia state during eye movement exceeds a preset claustrophobia value.

[0054] Here, a screening process for the acquired eye-tracking information is added. The purpose of this screening process is to ensure that the saved data is valid and of high quality, thereby improving the accuracy of subsequent data analysis. The screening process specifically includes: Remove eye-tracking data that does not contain a target point: During eye tracking, the target point is typically a point that the patient is asked to focus on or visually track. If a segment of eye tracking data lacks a target point, the data may be invalid or the patient may not have followed instructions. Therefore, such data needs to be removed from the dataset.

[0055] Remove eye movement data with an eye movement speed greater than a preset speed (movement speed greater than 0.05, unit: m / s): If the eyes move too quickly, it may mean the patient is not focused on the scene at that moment, or that the data may contain errors. To ensure data accuracy, these rapidly moving data points need to be discarded.

[0056] Remove eye movement data showing squinting during eye movements: When patients squint, eye tracking may be affected, leading to inaccurate data. Therefore, these data points need to be identified and removed.

[0057] Remove eye movement data where the eye jitter rate during eye movement exceeds a preset jitter value (jitter rate greater than 0.1): Eye tremors can affect the accuracy of eye tracking. If the tremor rate exceeds a preset threshold, the data may be unreliable and needs to be removed from the dataset.

[0058] Remove eye-tracking data where the claustrophobia state exceeds a preset claustrophobia value during eye movement: This step takes into account the patient's psychological state. If the patient's claustrophobia exceeds a preset threshold during eye-tracking, the data collected during this period may reflect the patient's anxiety response rather than their actual visual reaction to the scene. To ensure data accuracy, this data needs to be discarded.

[0059] In some embodiments, the movement speed is calculated in the following manner: ; Where M represents the moving speed, EP x EP represents the horizontal coordinate of the eye. y SP represents the vertical coordinate of the eye. xSP represents the x-coordinate of the target point. y This represents the ordinate of the target point; The jitter rate is calculated in the following way: ; Where D represents the jitter rate, M represents the movement speed, n is a natural number, ti represents the collection timestamp, and the frequency is times / second.

[0060] Claustrophobia can be diagnosed by detecting heart rate, skin resistance, and brain wave fluctuations, and data that exceed the range for heart rate, skin resistance, and brain wave fluctuations can be filtered out.

[0061] Heart rate: The unit is times per minute.

[0062] Here, r1 represents the initial heart rate, and r n Let ti represent the heart rate at the nth time, where ti represents the heartbeat timestamp and n is a natural number.

[0063] Heart rate range: R_Ran=R±4, in beats / minute.

[0064] Skin resistance range: The unit is ohms. Here, S1-S n These are the resistance values ​​from the 1st to the nth iteration, where n is a natural number.

[0065] EEG frequency range: The unit is microvolt; Here, t1-t n These are the wave rates from the 1st to the nth wave, where n is a natural number.

[0066] After the above screening and washing process, the remaining valid data will be saved for subsequent analysis and research. This processing method ensures the accuracy and reliability of the data, thus providing more valuable information for the research and treatment of claustrophobia.

[0067] In some embodiments, see Figure 2 , Figure 2 This is a flowchart illustrating steps S201-S202 provided in the embodiments of this application. Figure 1 The step S103 shown can be implemented through steps S201-S203, and will be explained in conjunction with each step.

[0068] In step S201, when the state detection device detects that the target patient is in a collectable state, the playback of the target scene is stopped, and a target point is displayed on the current interface. The target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears. In step S202, when the status detection device detects that the target patient is in an uncollectible state, the display of the target point is canceled, and the target scene continues to play until the status detection device detects that the target patient is in a collectible state again. Then, the playback of the target scene stops, and the target point continues to be displayed on the current interface for collection.

[0069] Here, once the patient enters a data-collectible state—that is, their claustrophobia symptoms have lessened to an acceptable level—the system stops playing the target scene. A target point is then displayed on the current interface. This point guides the patient's gaze, ensuring their attention is focused on a specific area, thus making eye-tracking data collection more accurate. The target point guides the patient to perform specific eye movements, such as following the target point or fixating on it. The system only begins recording the patient's eye movements when the target point appears. This ensures that the collected data is correlated with the position and movement of the target point, improving the relevance of the data.

[0070] If a patient's claustrophobia symptoms worsen to the point where they cannot be recorded, the system will immediately remove the target point from the display to avoid further stimulating the patient. Simultaneously, the system will resume playing the target scene, which should help alleviate the patient's anxiety, such as an open natural environment or a calm setting. Once the patient returns to a recordable state, the system will pause the scene playback. The target point will reappear on the interface, guiding the patient to perform eye movements, while the system resumes recording eye movement information.

[0071] The aforementioned method, combining the patient's real-time status with adjustments to the virtual environment, aims to provide a safe and effective eye-tracking information acquisition process. By flexibly adjusting the display of the scene and target points, this method ensures that the patient is comfortable during eye-tracking information acquisition, while also improving the accuracy and relevance of the acquired data.

[0072] In some embodiments, see Figure 3 , Figure 3 This is a flowchart illustrating steps S301-S303 provided in the embodiments of this application. Before playing the target scene through the eye-tracking acquisition device, the method may also execute steps S301-S303, which will be explained in conjunction with each step.

[0073] In step S301, at least one candidate scene is played sequentially from a preset scene library.

[0074] In step S302, the claustrophobia state of the target patient in each of the at least one candidate scenarios is detected by the wearable state detection device.

[0075] In step S303, the candidate scene corresponding to the lowest claustrophobia state is selected as the target scene.

[0076] Steps S301-S303 describe a screening process before playing the target scene through the eye-tracking acquisition device, the purpose of which is to select a scene that can best reduce the patient's claustrophobia.

[0077] To determine which scenario is most helpful in alleviating a patient's claustrophobia symptoms, the system selects and plays multiple candidate scenarios from a pre-set scenario library. These scenarios may include natural scenery, open spaces, or other environments considered beneficial for claustrophobia relief.

[0078] As each candidate scenario is played, the state detection device monitors the patient's claustrophobia state in real time. This can be achieved by tracking the patient's physiological indicators, emotional responses, or other relevant metrics.

[0079] After playing multiple candidate scenarios and collecting relevant claustrophobia data, the system analyzes and compares this data to determine which scenario minimizes the patient's claustrophobia.

[0080] The most effective scenario will be selected as the target scenario and played to the patient through an eye-tracking acquisition device (i.e., a VR device) for subsequent eye-tracking information collection.

[0081] The above method allows for the selection of the most suitable scenario based on the patient's specific reactions and emotional state, ensuring that the eye-tracking information acquisition process is both comfortable and effective. Furthermore, this method allows doctors or researchers to understand which types of scenarios are most effective for specific patients, providing valuable reference information for subsequent treatment or research.

[0082] In some embodiments, the method further includes: Based on the target scene, the eye movement information of the target patient is collected. When the state detection device detects that the target patient is in an uncollectible state during the collection process, the collection is stopped until the state detection device detects that the target patient is in a collectible state again.

[0083] As an alternative approach, eye-tracking information can also be collected within the target scene. Unlike the approach of collecting information after stopping playback of the target scene, this approach allows for direct collection within the target scene.

[0084] When the patient is in a data-collectible state, the system will begin collecting the patient's eye movement information based on a specific target scenario. This target scenario is specifically designed to reduce the patient's claustrophobia.

[0085] If, during the process of collecting eye movement information, the state detection device detects that the patient's claustrophobia has increased to the point where it cannot be collected (i.e., the claustrophobia level is greater than or equal to the preset claustrophobia value and has lasted for a preset time), the system will immediately stop collecting eye movement information.

[0086] This is done to ensure the patient's comfort and safety, and to avoid continuing collection activities that could trigger more anxiety while the patient is in an uncomfortable state.

[0087] The system will continuously monitor the patient's condition. Only when the patient returns to a collectable state (i.e., the claustrophobia level is less than the preset claustrophobia value and lasts for a preset time) will the system consider restarting the collection of eye movement information.

[0088] During this time, the system may continue to play the target scene to help the patient alleviate anxiety and regain a comfortable state.

[0089] The above methods ensure that eye-tracking data acquisition is conducted under conditions that make the patient feel comfortable and safe. By monitoring in real time and flexibly adjusting the acquisition process, this approach aims to maximize the accuracy and reliability of the data while also ensuring the patient's mental health and safety.

[0090] Specifically, please see Figure 4 , Figure 4 This is a flowchart illustrating steps S401-S402 provided in the embodiment of this application. The eye movement information of the target patient is collected based on the target scene. When the state detection device detects that the target patient is in an uncollectible state during the collection process, the collection is stopped until the state detection device detects that the target patient is in a collectible state again. This can be achieved through steps S401-S402, which will be explained in conjunction with each step.

[0091] In step S401, a target point is displayed in the target scene, and the target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears.

[0092] In step S402, when the status detection device detects that the target patient is in an uncollectible state, the display of the target point is canceled, and the target scene continues to play until the status detection device detects that the target patient is in a collectible state again, then the target point is displayed and collection continues.

[0093] Steps S401-S402 further refine how to guide the target patient to perform eye tracking in the target scene, and how to adjust the display and acquisition strategies when the patient's claustrophobia state exceeds the preset value.

[0094] To ensure the patient has a clear visual focus during eye tracking, a target point is displayed in the target scene. This point is usually a prominent, easily recognizable visual element, such as a bright spot or a distinctive marker.

[0095] The presence of a target point provides the patient with a specific visual task, giving their eyes a clear direction of movement or focus. This helps in collecting more focused and relevant eye movement data.

[0096] When the target point appears, the system begins collecting the patient's eye movement information. This ensures that the collected data is relevant to the target point, thereby improving the correlation and accuracy of the data.

[0097] If a patient's claustrophobia exceeds a preset threshold and persists for a preset time, it indicates that the patient may be experiencing high levels of anxiety. To protect the patient and prevent further emotional distress, the system will disable the display of the target point.

[0098] Although the target point is not displayed, the target scene continues to play. This ensures that the patient remains in a relatively comfortable and relaxing virtual environment, which helps their emotions gradually stabilize.

[0099] When the patient's claustrophobia subsides back to the preset data acquisition range, the system re-displays the target point and resumes collecting eye movement information. This ensures that data collection only occurs when the patient is in a relatively stable and comfortable state, thereby improving data reliability.

[0100] The above method guides the patient's eye movement by displaying target points in the target scene, and flexibly adjusts the display and acquisition strategies according to the patient's real-time psychological state, aiming to ensure data accuracy and patient comfort.

[0101] In summary, the embodiments of this application have the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0102] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0103] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement activities accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0104] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0105] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0106] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being.

[0107] Based on the same inventive concept, this application also provides an eye movement information acquisition device for claustrophobic patients, which corresponds to the eye movement information acquisition method for claustrophobic patients in the first embodiment. Since the principle of the device in this application is similar to the above-mentioned eye movement information acquisition method for claustrophobic patients, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0108] like Figure 5 As shown, Figure 5 This is a schematic diagram of the eye movement information acquisition device 500 for claustrophobia patients provided in this application embodiment. The eye movement information acquisition device 500 for claustrophobia patients includes: Wearable module 501 is used to equip a target patient with a state detection device and an eye movement acquisition device, wherein the target patient is the claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye movement acquisition device is used to acquire the eye movement information of the target patient; The playback module 502 is used to play a target scene through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; The acquisition module 503 is used to stop playing the target scene and acquire the eye movement information of the target patient when the state detection device detects that the target patient is in an acquireable state; when the state detection device detects that the target patient is in an unacquireable state, it continues playing the target scene until the state detection device detects that the target patient is in an acquireable state again, wherein the acquireable state is when the target patient's claustrophobia state is less than a preset claustrophobia value and lasts for a preset time, and the unacquireable state is when the target patient's claustrophobia state is greater than or equal to the preset claustrophobia value and lasts for a preset time.

[0109] The collection module 504 is used to obtain the eye movement information of the target patient.

[0110] Those skilled in the art should understand that Figure 5 The functions of each unit in the eye movement information acquisition device 500 for claustrophobic patients shown can be understood by referring to the relevant description of the eye movement information acquisition method for claustrophobic patients described above. Figure 5 The functions of each unit in the eye movement information acquisition device 500 for claustrophobic patients shown can be realized by a program running on a processor or by specific logic circuits.

[0111] In one possible implementation, the eye-tracking acquisition device is a VR device, and the playback module 502 plays the target scene through the eye-tracking acquisition device, including: Playing natural scenery videos through the VR device and using the natural scenery videos as a background can reduce the claustrophobia of the target patients. The natural scenery videos include at least one of the following video elements: sky, mountains, water, flowers and trees, animals, and seasons.

[0112] In one possible implementation, the acquisition module 503 further includes: The collected eye-tracking information is screened and the effective data after screening is saved; wherein, the screening process includes at least one of the following: Remove eye movement data that does not contain a target point from the eye movement data; Remove eye movement data from the eye movement data whose eye movement speed is greater than a preset speed; Remove squinting eye movement data from the eye movement data; Remove eye movement data from the eye movement data in which the eye jitter rate during eye movement is greater than a preset jitter value; Remove eye-tracking data in which the claustrophobia state during eye movement exceeds a preset claustrophobia value.

[0113] In one possible implementation, when the state detection device detects that the target patient is in a collectable state, the acquisition module 503 stops playing the target scene and acquires the eye movement information of the target patient; when the state detection device detects that the target patient is in a non-collectable state, it continues playing the target scene until the state detection device detects that the target patient is in a collectable state again, including: When the state detection device detects that the target patient is in a collectable state, the playback of the target scene stops, and a target point is displayed on the current interface. The target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears. When the status detection device detects that the target patient is in an uncollectible state, it cancels the display of the target point and continues to play the target scene until the status detection device detects that the target patient is in a collectible state again. Then, it stops playing the target scene and continues to display the target point on the current interface for collection.

[0114] In one possible implementation, before the playback module 502 plays the target scene through the eye-tracking acquisition device, the method further includes: Play at least one candidate scene from the preset scene library in sequence; The wearable state detection device is used to detect the claustrophobia state of the target patient in each of the at least one candidate scenarios; The candidate scene corresponding to the lowest claustrophobia state is selected as the target scene.

[0115] In one possible implementation, the acquisition module 503 further includes: Based on the target scene, the eye movement information of the target patient is collected. When the state detection device detects that the target patient is in an uncollectible state during the collection process, the collection is stopped until the state detection device detects that the target patient is in a collectible state again.

[0116] In one possible implementation, the acquisition module 503 acquires the eye movement information of the target patient based on the target scene. When the state detection device detects that the target patient is in an unacceptable acquisition state during the acquisition process, the acquisition stops until the state detection device detects that the target patient is in an acquireable state again, including: A target point is displayed in the target scene, and the target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears. When the status detection device detects that the target patient is in an uncollectible state, it cancels the display of the target point and continues to play the target scene until the status detection device detects that the target patient is in a collectible state again, then displays the target point and continues collecting data.

[0117] In one possible implementation, the acquisition module 503 calculates the moving speed in the following manner: ; Where M represents the moving speed, EP x EP represents the horizontal coordinate of the eye. y SP represents the vertical coordinate of the eye. x SP represents the x-coordinate of the target point. y This represents the ordinate of the target point; The jitter rate is calculated in the following way: ; Where D represents the jitter rate, M represents the movement speed, n is a natural number, and ti represents the collection timestamp.

[0118] The aforementioned eye movement data acquisition device for claustrophobia patients has the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0119] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0120] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement activities accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0121] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0122] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0123] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being.

[0124] like Figure 6 As shown, Figure 6 This is a schematic diagram of the composition structure of the electronic device 600 provided in the embodiments of this application. The electronic device 600 includes: The device 600 includes a processor 601, a storage medium 602, and a bus 603. The storage medium 602 stores machine-readable instructions executable by the processor 601. When the electronic device 600 is running, the processor 601 communicates with the storage medium 602 via the bus 603. The processor 601 executes the machine-readable instructions to perform the steps of the eye movement information acquisition method for claustrophobic patients described in the embodiments of this application.

[0125] In practical applications, the various components in the electronic device 600 are coupled together via a bus 603. It is understood that the bus 603 is used to achieve communication between these components. In addition to a data bus, the bus 603 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 6 The general designated all buses as Bus 603.

[0126] The above-mentioned electronic devices have the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0127] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0128] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement activities accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0129] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0130] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0131] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being.

[0132] This application also provides a computer-readable storage medium storing executable instructions. When the executable instructions are executed by at least one processor 601, the eye movement information acquisition method for claustrophobic patients described in this application is implemented.

[0133] In some embodiments, the storage medium may be a magnetic random access memory (FRAM), a read-only memory (ROM), or a programmable read-only memory (PROM). Erasable Programmable Read-Only Memory (EPROM) Electrically Erasable Programmable Read-Only Memory (EEPROM) Read-only memory, flash memory, magnetic surface storage, optical disc, or CD-ROM ROM, Compact Disc Read It can be a memory such as a memory only; or it can be a device that includes one or any combination of the above-mentioned memories.

[0134] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0135] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborating files (e.g., a file that stores one or more modules, subroutines, or code sections).

[0136] As an example, executable instructions can be deployed to execute on a single computing device, or on multiple computing devices located in one location, or on multiple computing devices distributed across multiple locations and interconnected via a communication network.

[0137] The aforementioned computer-readable storage media have the following beneficial effects: (1) Reduce patient anxiety: Playing natural scenery videos as background during the data collection process can create a comfortable and natural environment, helping patients relax and reduce anxiety. This method can make patients more cooperative during the data collection process, improving collection efficiency and data quality.

[0138] (2) Improve data accuracy: By using state detection devices and VR eye-tracking acquisition devices, patients' physiological parameters and eye movement information can be monitored and recorded in real time. This method can obtain more accurate and comprehensive data, thereby providing a better understanding of the patient's psychological and physiological state.

[0139] (3) Personalized treatment: Based on the patient's real-time physiological parameters and eye movement information, the computer can calculate the patient's personalized data range and guide the patient's eye movement activities accordingly. This method can better meet the patient's personalized needs and improve the treatment effect.

[0140] (4) Timely detection of abnormalities: The computer can monitor the patient's physiological parameters and eye movement information in real time, and immediately stop collecting data and notify the doctor when an abnormality is detected. This method can promptly detect and handle abnormalities in patients, ensuring their safety and health.

[0141] (5) Improve data utilization: By screening and effectively storing the collected eye movement data, the data can be better utilized and its utilization rate improved. This method can better extract the value of the data and provide more useful information for research and treatment.

[0142] (6) Promoting mental health: The entire data collection and analysis process can help doctors better understand the patient's psychological and physiological state, thereby developing more effective treatment plans. By reducing the patient's anxiety and improving their mental health, this approach helps promote the patient's overall health and well-being.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed methods and electronic devices can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components may be combined, or integrated into another system, or some features may be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0144] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0145] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0146] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a platform server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0147] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for collecting eye movement information from patients with claustrophobia, characterized in that, The method includes: A state detection device and an eye-tracking acquisition device are worn by a target patient, wherein the target patient is a claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient; The target scene is played through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; When the state detection device detects that the target patient is in a collectible state, the playback of the target scene stops, and the eye movement information of the target patient is collected. When the state detection device detects that the target patient is in a non-collectible state, the playback of the target scene continues until the state detection device detects that the target patient is in a collectible state again. The collectible state is defined as the target patient's claustrophobia state being less than a preset claustrophobia value and lasting for a preset time. The non-collectible state is defined as the target patient's claustrophobia state being greater than or equal to a preset claustrophobia value and lasting for a preset time. The claustrophobia state is determined by detecting heart rate, skin resistance, and EEG fluctuations, and data with heart rate exceeding the range, skin resistance exceeding the range, and EEG fluctuations exceeding the range are filtered out. The eye movement information of the target patient is obtained.

2. The method according to claim 1, characterized in that, The eye-tracking acquisition device is a VR device, and the target scene is played through the eye-tracking acquisition device, including: Playing natural scenery videos through the VR device and using the natural scenery videos as backgrounds can reduce the claustrophobia of the target patients. The natural scenery videos include at least one of the following video elements: sky, mountains, water, flowers and trees, animals, and seasons.

3. The method according to claim 1, characterized in that, The method further includes: The collected eye-tracking information is screened and the effective data after screening is saved; wherein, the screening process includes at least one of the following: Remove eye movement data that does not contain a target point from the eye movement information; Remove eye movement data from the eye movement information where the eye movement speed is greater than a preset speed; Remove squinting eye movement data from the eye movement information; Remove eye movement data from the eye movement information where the eye jitter rate during eye movement is greater than a preset jitter value; Remove eye movement data in the eye movement information where the claustrophobia state during eye movement exceeds a preset claustrophobia value.

4. The method according to claim 1, characterized in that, When the state detection device detects that the target patient is in a collectable state, the playback of the target scene is stopped, and the eye movement information of the target patient is collected; when the state detection device detects that the target patient is in a non-collectable state, the playback of the target scene continues until the state detection device detects that the target patient is in a collectable state again, including: When the state detection device detects that the target patient is in a collectable state, the playback of the target scene stops, and a target point is displayed on the current interface. The target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears. When the status detection device detects that the target patient is in an uncollectible state, it cancels the display of the target point and continues to play the target scene until the status detection device detects that the target patient is in a collectible state again. Then, it stops playing the target scene and continues to display the target point on the current interface for collection.

5. The method according to claim 1, characterized in that, Before playing the target scene through the eye-tracking acquisition device, the method further includes: Play at least one candidate scene from the preset scene library in sequence; The wearable state detection device is used to detect the claustrophobia state of the target patient in each of the at least one candidate scenarios; The candidate scene corresponding to the lowest claustrophobia state is selected as the target scene.

6. The method according to claim 1, characterized in that, The method further includes: Based on the target scene, the eye movement information of the target patient is collected. When the state detection device detects that the target patient is in an uncollectible state during the collection process, the collection is stopped until the state detection device detects that the target patient is in a collectible state again.

7. The method according to claim 6, characterized in that, The process of collecting eye movement information of the target patient based on the target scene, including stopping collection when the state detection device detects that the target patient is in an uncollectible state during the collection process, until the state detection device detects that the target patient is in a collectible state again, includes: A target point is displayed in the target scene, and the target patient is guided to perform eye movements through the target point. The start time for collecting the eye movement information is when the target point appears. When the status detection device detects that the target patient is in an uncollectible state, it cancels the display of the target point and continues to play the target scene until the status detection device detects that the target patient is in a collectible state again, then displays the target point and continues collecting data.

8. An eye movement information acquisition device for patients with claustrophobia, characterized in that, The device includes: A wearable module is used to equip a target patient with a state detection device and an eye-tracking acquisition device, wherein the target patient is the claustrophobia patient, the state detection device is used to detect the claustrophobia state of the target patient, and the eye-tracking acquisition device is used to acquire the eye-tracking information of the target patient; A playback module is used to play a target scene through the eye-tracking acquisition device, wherein the target scene is used to reduce the claustrophobia state of the target patient; The acquisition module is used to stop playing the target scene and acquire the eye movement information of the target patient when the state detection device detects that the target patient is in an acquireable state; when the state detection device detects that the target patient is in an unacquireable state, it continues playing the target scene until the state detection device detects that the target patient is in an acquireable state again. The acquireable state is defined as the target patient's claustrophobia level being less than a preset claustrophobia value and lasting for a preset time; the unacquireable state is defined as the target patient's claustrophobia level being greater than or equal to a preset claustrophobia value and lasting for a preset time. The claustrophobia level is determined by detecting heart rate, skin resistance, and EEG fluctuations, and data with heart rate exceeding the range, skin resistance exceeding the range, and EEG fluctuations exceeding the range are filtered out. A collection module is used to obtain the eye movement information of the target patient.

9. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the eye movement information acquisition method for claustrophobic patients as described in any one of claims 1 to 7.

Images