Epidural and subdural hematoma monitoring system, computer-storable medium and device

Abstract

The epidural and subdural hematoma monitoring system of the present application is characterized in that, when the system is executed, method steps can be realized, the method steps include S1: obtaining a patient head detection signal, the detection signal includes the coordinates of a detection point and the hematoma thickness corresponding to the detection point; S2: inputting the detection signal into a reconstruction model for reconstruction to obtain detection data, the reconstruction model restores the discrete detection signal into continuous detection data; and S3: outputting a detection result. The epidural and subdural hematoma monitoring system, the computer storage medium and the device are provided, and the effects are particularly embodied in that: first, the coordinate values of the detected patient are converted into a reference coordinate system, which reduces a lot of calculation amount for restoring the detection data for later calculation, thereby increasing the calculation speed and improving the detection speed. Second, the error caused by the head shape, hair and the like on the detection result can be reduced, so that the detection accuracy is higher.

Description

Technical Field

[0001] This invention belongs to the field of medical device technology, and relates to acute epidural and subdural hematoma monitoring technology, specifically to an epidural and subdural hematoma monitoring system, a computer-storable medium, and a device. Background Technology

[0002] In daily life, some unavoidable traumas exist, especially head injuries, which pose a significant threat to human life and health. Epidural and subdural hematomas are among these threats. Epidural and subdural hematomas can occur at any age, but are particularly common in young adults aged 15-50. They are hematomas occurring between the inner table of the skull and the dura mater, accounting for 20-30% of traumatic intracranial hematomas. Traumatic epidural and subdural hematomas often present as acute or acute hematomas, accounting for approximately 85%. Typical acute epidural and subdural hematomas are more common in young adult male patients with linear fractures, most frequently in the frontotemporal and parietotemporal regions. The temporal region contains the middle meningeal artery and vein, making it prone to tearing by fractures. Especially in rapidly developing epidural and subdural hematomas, the bleeding source is often arterial injury, and the hematoma enlarges rapidly, potentially causing brain herniation within hours, threatening the patient's life. Therefore, the need for monitoring and managing epidural and subdural hematomas after brain injury is extremely urgent. Early detection allows doctors to make an earlier diagnosis and initiate timely treatment, which is crucial for saving lives. Continuous, accurate, and portable monitoring of epidural and subdural hematomas has become a pressing clinical requirement.

[0003] Currently, existing methods for detecting epidural and subdural hematomas generally include ultrasound examination, skull X-ray, cerebral angiography, CT scan, and MRI scan. Among these, CT scan has a high accuracy rate, but it cannot provide continuous or dynamic monitoring. In principle, surgical treatment should be performed as soon as possible after diagnosis to ensure early diagnosis and timely intervention, effectively reducing mortality. However, many non-surgical treatments exist. For acute supratentorial epidural and subdural hematomas with clear consciousness, stable condition, and hematoma volume less than 15ml, conservative treatment can be used. However, conservative treatment requires dynamic monitoring of the patient's consciousness, clinical symptoms, and dynamic CT scans. If the hematoma enlarges, surgical treatment should be immediately initiated. In such cases, repeated patient transfers increase the patient's physical movement, and slight mishaps can worsen the patient's condition. During peak CT scan periods, there are also waiting times, causing considerable inconvenience to patients and their families. The cost of multiple CT scans is also substantial, adding a hidden burden to the patient's family.

[0004] Especially in the early stages of injury, when patients are typically transported to the hospital, there is a significant need for monitoring epidural and subdural hematomas during this period. Current detection instruments include patch-type and pistol-type instruments. These instruments have the following problems: First, patch-type instruments have a limited detection range, only able to detect hematomas at a few points. Expanding the detection range requires manual repositioning of the patch, which can be dangerous, such as moving the patient's head. Without moving the patient's head, the hematoma cannot be detected. Second, like pistol-type instruments, the detection is influenced by the user's subjective judgment, leading to the assessment of hematoma location and size. The detection can only detect locations the user subjectively perceives as potentially hematomas. Even upon arrival at the hospital, doctors are not entirely certain about the results of the transport and will still order a CT scan, rendering the initial detection ineffective. Third, both patch-type and pistol-type instruments can only detect a few points at a time, and the data and signals from these points cannot be recorded. Doctors can only make subjective and approximate judgments, failing to accurately reconstruct the patient's true hematoma condition from the detected data. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, the present invention provides an epidural and subdural hematoma monitoring system, a computer-storable medium, and a device.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A system for monitoring epidural and subdural hematomas is provided, characterized in that, when executed, the system enables method steps, the method steps including:

[0008] S1: Acquire the detection signal of the patient's head, the detection signal including the coordinates of the detection point and the hematoma thickness corresponding to the detection point;

[0009] S2: The detection signal is input into the reconstruction model for reconstruction to obtain detection data. The reconstruction model restores the discrete detection signal into continuous detection data.

[0010] S3: Output the detection results.

[0011] Preferably, the detection signal in step S1 is preprocessed, and the preprocessing method includes:

[0012] S11: Obtain the actual coordinate values ​​of the detection points;

[0013] S12: Convert the actual coordinate values ​​into reference coordinate values ​​using a coordinate correction algorithm;

[0014] S13: Obtain the reference coordinates of the detection point as the coordinates of the detection point, wherein the reference coordinates are the values ​​corresponding to the actual coordinates in the reference coordinate system.

[0015] Preferably, the detection data in step S2 is compensated, and the compensation method includes:

[0016] S21: Obtain detection data;

[0017] S22: Obtain the shape of the patient's head within the detection area;

[0018] S23: Based on the shape of the patient's head within the detection area, obtain the compensation coefficient for that detection area using a compensation algorithm;

[0019] S24: Based on the compensation coefficient within the detection area, obtain the compensated detection data for the detection area.

[0020] A computer-readable storage medium is provided, characterized in that,

[0021] The storage right is used for the epidural and subdural hematoma monitoring system described above.

[0022] A device for monitoring epidural and subdural hematomas, characterized in that it comprises,

[0023] Epidural and subdural hematoma monitoring system;

[0024] Detection components;

[0025] processor;

[0026] Memory;

[0027] Output components;

[0028] The detection component includes multiple detection units, which are used to detect the thickness of epidural and subdural hematomas at local locations on the patient's head.

[0029] The memory is used to store the epidural and subdural hematoma monitoring system;

[0030] The processor is used to execute the epidural and subdural hematoma monitoring system stored in the memory, so that the device performs the method steps;

[0031] The output component is used to output the detection results.

[0032] Preferably, the detection component is made of an elastic material and is in the form of a sheet;

[0033] The elastic material has a headgear-like structure;

[0034] The headgear-like structure is used to cover the area of ​​the patient's head to be tested.

[0035] The area to be detected does not include the eyes, nose, mouth, ears, or cheeks.

[0036] The elastic material has a front and a back. The front is the side facing the patient's head, and the back is the side away from the patient's head.

[0037] The front has a detection unit;

[0038] The reverse side has marked points.

[0039] Preferably, it has a detection auxiliary component;

[0040] The detection auxiliary component has a mesh structure, which is composed of linear structures.

[0041] The detection auxiliary component includes an image acquisition component;

[0042] Among them, the intersection of linear structures is the compensation reference point;

[0043] The mesh structure is inelastic and bendable, and it droops naturally due to gravity.

[0044] Preferably, when the detection component is not subjected to external force, the mesh structure can adhere to the back of the elastic material;

[0045] The compensation reference point and the marker point are in one-to-one correspondence.

[0046] Preferably, the positions of the marker points correspond one-to-one with the positions of the detection units.

[0047] Preferably, a compensation reference point and its corresponding marker point will not undergo relative displacement.

[0048] Preferably, the detection unit includes a signal transmitter and a signal receiver;

[0049] The signal transmitter is surrounded by multiple signal receivers;

[0050] The signal transmitter emits near-infrared light, and the signal receiver receives the near-infrared light.

[0051] The beneficial effects of this invention are reflected in providing an epidural and subdural hematoma monitoring system, a computer-storable medium, and a device. This system detects hematoma signals from a patient's head, preprocesses the detected signals, and converts the actual coordinate values ​​to reference coordinate values ​​using a coordinate correction algorithm. The detected signals are then input into a reconstruction model for reconstruction, yielding detection data. Finally, the detection results are output through a component. Its advantages are particularly evident in the following aspects: First, converting the patient's coordinate values ​​to a reference coordinate system significantly reduces the computational load for subsequent data reconstruction, thereby increasing calculation speed and detection speed. Second, it reduces errors caused by head shape, hair, etc., resulting in higher detection accuracy. Third, it provides a small and portable epidural and subdural hematoma monitoring instrument, greatly increasing the probability of timely hematoma detection for patients. Attached image description:

[0052] Figure 1 The method steps for monitoring epidural and subdural hematoma are shown;

[0053] Figure 2 The method step S1 of the epidural and subdural hematoma monitoring system illustrates the preprocessing flow of the detection signal;

[0054] Figure 3 The procedure for compensating detection data in step S2 of the method for an epidural and subdural hematoma monitoring system is shown.

[0055] Figure 4 The device components for monitoring epidural and subdural hematoma are shown;

[0056] Figure 5 The diagram shows the free states of the headgear-like structure and the mesh structure;

[0057] Figure 6 A schematic diagram is shown of the headgear-like structure and the mesh structure being worn on the patient's head;

[0058] Figure 7 The procedure for implementing a device for monitoring epidural and subdural hematomas is shown;

[0059] Figure 8 An feasible arrangement of detection units is shown. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] Please see Figure 1-8 As shown, the specific embodiments provided by the present invention are as follows:

[0062] Example 1:

[0063] An epidural and subdural hematoma monitoring system, characterized in that, when executed, the epidural and subdural hematoma monitoring system can perform method steps, the method steps including:

[0064] S1: Acquire the detection signal of the patient's head, the detection signal including the coordinates of the detection point and the hematoma thickness corresponding to the detection point;

[0065] S2: The detection signal is input into the reconstruction model for reconstruction to obtain detection data. The reconstruction model restores the discrete detection signal into continuous detection data.

[0066] S3: Output the detection results.

[0067] Currently, the mainstream method for monitoring epidural and subdural hematomas is CT scan. While CT scans have a high accuracy rate, they cannot provide continuous or dynamic monitoring. Each CT scan only shows the state of the hematoma at a specific moment. As we know, the human body is constantly changing, and so are the epidural and subdural hematomas. If a patient is recovering, doctors may recommend repeat CT scans for added assurance, sometimes several times, to confirm complete drainage of the hematoma. This repeated CT scans are inconvenient for patients and increase the financial burden on their families. For patients whose condition is worsening, the epidural and subdural hematomas are constantly changing and developing rapidly. The bleeding source is often arterial injury, and the hematoma enlarges rapidly, potentially causing brain herniation within hours, threatening the patient's life. Without CT scans, doctors would find it difficult to assess the patient's condition. When the hematoma continues to enlarge and causes uncus herniation in the temporal lobe, the patient not only experiences a deepening of impaired consciousness and disordered vital signs, but also exhibits typical signs such as dilated pupils and contralateral hemiplegia. By the time doctors notice symptoms such as dilated pupils and contralateral hemiplegia and take action, the optimal time to save the patient has already passed.

[0068] In this embodiment, an epidural and subdural hematoma monitoring system is provided. This system acquires detection signals from the patient's head, inputs these signals into a reconstruction model for reconstruction, restores the discrete detection signals to continuous detection data, and finally outputs the detection results. For example... Figure 1The diagram illustrates one implementation of the method, in which deep learning can be used to reconstruct hematoma data. A reconstructed model is obtained by training a large amount of data, with each set of training data consisting of the patient's head detection signal and the patient's actual CT scan results. Its advantages are particularly evident in that this invention can monitor the condition of epidural and subdural hematomas in real time, allowing doctors to understand the patient's condition promptly, avoiding the inconvenience of repeated CT scans, and giving patients more time to rest and recuperate.

[0069] Example 2:

[0070] The detection signal in step S1 is preprocessed, and the preprocessing method includes:

[0071] S11: Obtain the actual coordinate values ​​of the detection points;

[0072] S12: Convert the actual coordinate values ​​into reference coordinate values ​​using a coordinate correction algorithm;

[0073] S13: Obtain the reference coordinates of the detection point as the coordinates of the detection point, wherein the reference coordinates are the values ​​corresponding to the actual coordinates in the reference coordinate system.

[0074] In actual testing, due to variations in head size, hair thickness, and the influence of substances such as scalp scars, tinea, and dandruff, the coordinates of the examination point may not accurately reflect the location of the hematoma. This can lead to situations where two patients with the same hematoma volume show different detected volumes, or vice versa. In such cases, precise location of the examination point coordinates is crucial.

[0075] In this embodiment, the detection signal is preprocessed, and the actual coordinate values ​​are converted into reference coordinate values ​​using a coordinate correction algorithm; the reference coordinate values ​​of the detection point are obtained as the coordinates of the detection point, such as... Figure 2 The diagram illustrates one implementation of the preprocessing method, with the following significant effects: First, converting the patient's coordinates to a reference coordinate system greatly reduces the computational load for reconstructing the model during later training, saving time and increasing the detection speed. Second, it reduces errors caused by factors such as head shape and hair type, making the results more closely reflect the actual situation of hematoma.

[0076] Example 3:

[0077] The compensation method for the detection data in S2 includes:

[0078] S21: Obtain detection data;

[0079] S22: Obtain the shape of the patient's head within the detection area;

[0080] S23: Based on the shape of the patient's head within the detection area, obtain the compensation coefficient for that detection area using a compensation algorithm;

[0081] S24: Based on the compensation coefficient within the detection area, obtain the compensated detection data for the detection area.

[0082] In actual testing, due to the varying head sizes and shapes of each patient, the skull outside the hematoma site can exhibit a variety of conditions, including protruding, smooth, or even concave areas. Because of these differences in head size, the same hematoma can yield different results when examined in different patients' skulls. Therefore, it is essential to consider the impact of head shape and other factors on the testing results.

[0083] In this embodiment, the detection data is compensated. The compensation method includes: acquiring the shape of the patient's head within the detection area; obtaining a compensation coefficient within the detection area based on the shape of the patient's head using a compensation algorithm; and obtaining the compensated detection data for the detection area based on the compensation coefficient. Figure 3 The image shows one implementation of the compensation method, which can reduce the differences in detection results caused by head differences.

[0084] Example 4:

[0085] A computer-readable storage medium, characterized in that,

[0086] Used for storing the epidural and subdural hematoma monitoring system.

[0087] A device for monitoring epidural and subdural hematomas, characterized in that it comprises,

[0088] The aforementioned epidural and subdural hematoma monitoring system;

[0089] Detection components;

[0090] processor;

[0091] Memory;

[0092] Output components;

[0093] The detection component includes multiple detection units, which are used to detect the thickness of epidural and subdural hematomas at local locations on the patient's head.

[0094] The memory is used to store the epidural and subdural hematoma monitoring system;

[0095] The processor is used to execute the epidural and subdural hematoma monitoring system stored in the memory, so that the device performs the method steps;

[0096] The output component is used to output the detection results.

[0097] Currently, the mainstream method for monitoring epidural and subdural hematomas is CT scan. CT scans have high accuracy, but CT scanners are large and bulky, and cannot be easily moved. Patients can only have CT scans performed at specific hospitals. Due to the large size of CT scanners, some patients whose optimal treatment option is CT scan for hematomas may be forced to undergo suboptimal treatment due to these limitations, taking a greater risk. In pre-hospital emergency situations, a patient's condition may deteriorate en route to the hospital. This is especially true in remote areas far from hospitals, where ambulances may not be able to reach the patient, and the patient may be unable to walk. Finding a suitable transfer vehicle takes a significant amount of time. The time from transferring the patient to the ambulance and then to the hospital is very long, during which time doctors cannot assess the patient's condition, wasting crucial time for intervention. A definitive diagnosis can only be made after a CT scan, and even then, immediate treatment may not be possible upon arrival at the hospital. Treatment of epidural and subdural hematomas is extremely urgent, especially rapidly developing ones, which are often caused by arterial injury. The hematoma enlarges rapidly and can cause brain herniation within hours, threatening the patient's life. If patients have to wait in line for CT scans after arriving at the hospital, their chances of survival are greatly reduced. Therefore, providing a portable monitoring device for epidural and subdural hematomas is essential.

[0098] In this embodiment, an apparatus for monitoring epidural and subdural hematoma includes an epidural and subdural hematoma monitoring system, a detection component, a processor, a memory, and an output component; such as Figure 4 The diagram illustrates one embodiment of the device. The detection component is used to detect the thickness of epidural and subdural hematomas at a specific location on the patient's head; the output component is used to output the detection results. Compared to a CT scanner, the device of this invention is smaller and lighter. It can be powered directly or has its own power supply, meeting the requirements for non-hospital use, and its detection accuracy meets application needs. In an ambulance, doctors can use the epidural and subdural hematoma monitoring device to perform preliminary examinations on patients. The device can monitor and record the patient's condition in real time, allowing the accompanying doctor to gain a general understanding of the patient's condition and synchronize the information with the hospital. The hospital can then prepare to receive the patient in advance, ensuring immediate treatment upon arrival. After the patient arrives at the hospital, specialists can refer to the monitored data to quickly understand the patient's condition and take appropriate treatment actions before the condition worsens. This can significantly increase the chances of saving the patient's life and reduce the probability of their condition deteriorating.

[0099] Example 5:

[0100] The detection components are made of elastic materials;

[0101] The elastic material has a headgear-like structure;

[0102] The headgear-like structure is used to cover the area of ​​the patient's head to be tested.

[0103] The area to be detected does not include the eyes, nose, mouth, ears, or cheeks.

[0104] The elastic material has a front and a back. The front is the side facing the patient's head, and the back is the side away from the patient's head.

[0105] The front has a detection unit;

[0106] The reverse side has marked points.

[0107] In this embodiment, a headgear-like structure is used to wrap the area to be tested on the patient's head. The elastic material is elastic, allowing patients with different head shapes to wear the headgear for testing. The side facing the patient's head has a detection unit for detecting the thickness of the hematoma at that location, while the side away from the patient's head has markers for observing the deformation of the headgear structure. Because the headgear structure is stretched and deformed when worn on the patient's head, the position of the detection unit mounted on the front also shifts due to the stretching of the elastic material. Furthermore, the distance between two adjacent markers also changes; the greater the stretching of the elastic material, the greater the distance between two adjacent markers. The change in the distance between two markers on the reverse side can be used to reflect the change in the position of the detection unit.

[0108] Example 6:

[0109] It has detection auxiliary components;

[0110] The detection auxiliary component has a mesh structure, which is composed of linear structures.

[0111] The detection auxiliary component includes an image acquisition component;

[0112] Among them, the intersection of linear structures is the compensation reference point;

[0113] The mesh structure is inelastic and bendable, and it droops naturally due to gravity.

[0114] When the detection component is not subjected to external force, the mesh structure can adhere to the back of the elastic material;

[0115] The compensation reference point and the marker point are in one-to-one correspondence.

[0116] Because each patient's head size and shape are different, using the same headgear detection device to detect epidural and subdural hematomas is generally applicable to most patients' head shapes. However, there are cases where head shapes deviate from the norm. Differences in head size can lead to two undesirable consequences. First, if the headgear does not fit snugly against the patient's head, leaving gaps, the detection unit will obtain inaccurate data. Second, if a particular head shape protrudes, the headgear may be twisted, significantly impacting the detection results.

[0117] In this embodiment, the detection auxiliary component has a mesh structure composed of linear structures; the intersections of the linear structures serve as compensation reference points; the mesh structure is inelastic and flexible, naturally drooping due to gravity. The mesh structure, by its own weight, can press the bulging headgear-like structure against the scalp, achieving a fit between the headgear-like structure and the patient's head. When the headgear-like structure is not subjected to external force, such as... Figure 5 The image shows a top view of the headgear-like structure and mesh structure 41 in their free state. The compensation reference point 42 corresponds one-to-one with the marked point 32. The compensation reference point represents a point in the standard coordinate system of the headgear-like structure 31. When the detection component is worn on the patient's head, as... Figure 6 The image shows a top-down view of the headgear-like and mesh structures worn on the patient's head. The positions of the marker points change, and the compensation reference point and the overlapping marker point shift relative to each other. The patient's head shape can be assessed by calculating the shifts in displacement between the compensation reference point and the marker points.

[0118] Example 7:

[0119] The positions of the marker points correspond one-to-one with the positions of the detection units;

[0120] A compensation reference point and its corresponding marker point will not undergo relative displacement.

[0121] Changes in the distance between two adjacent marker points can reflect the stretching of the headgear structure. When the headgear structure is stretched, the position of the detection unit changes. Different patients have different stretching conditions, and the detection data is difficult to compare in different coordinate systems. This results in longer model reconstruction and training time, higher training complexity, and a larger amount of detection computation.

[0122] In this embodiment, as Figure 7The diagram shows a flowchart illustrating the implementation of a device for monitoring epidural and subdural hematoma. The position of the marker point indicates the relative position of the detection unit. Displacement of the marker point signifies displacement of the detection unit close to the scalp. When the headgear structure is not stretched, the marker point coincides with the compensation reference point. The compensation reference point of the mesh represents the standard position of the detection unit. When the patient wears the headgear structure, the mesh structure is also placed on top of it, ensuring that a compensation reference point and its corresponding marker point do not shift relative to each other. For unfixed marker points that shift relative to the compensation reference point, an image acquisition component takes an image directly above the headgear structure. The reference coordinates of the marker points are calculated based on their displacement in the image, thus reducing the computational load.

[0123] Example 8:

[0124] The detection unit includes a signal transmitter 1 and a signal receiver 2;

[0125] The signal transmitter is surrounded by multiple signal receivers;

[0126] The signal transmitter emits near-infrared light, and the signal receiver receives the near-infrared light.

[0127] Epidural and subdural hematomas typically present as blood clots, often with a few smaller clots. Using a single or even a few sensors makes it difficult to accurately detect the true extent of the hematoma. If the clot is small, surgery may not be necessary, but due to limitations in testing equipment, misdiagnosis can lead to surgery, placing an additional burden on the patient and their family. Conversely, if the clot is large, failure to detect its size in time can delay surgery and threaten the patient's life. Current methods for detecting epidural and subdural hematomas focus primarily on measuring the thickness of the hematoma, and can only assess a few points, failing to detect the shape and area of ​​the hematoma.

[0128] In this embodiment, the detection unit includes a signal transmitter and a signal receiver; multiple signal receivers are located around the signal transmitter, such as... Figure 8The diagram illustrates one implementation of the detection unit distribution. A signal transmitter emits near-infrared light, and a signal receiver receives it. Near-infrared light has strong penetrating power, capable of penetrating skin, skull, and other tissues, and scattering within brain tissue. Intracranial hematomas contain hemoglobin, which specifically absorbs near-infrared light. The thicker the hematoma, the more near-infrared light it absorbs, resulting in a weaker reception of refracted near-infrared light by the receiver. This principle allows for the detection of hematoma thickness. This invention features multiple signal receivers surrounding the signal transmitter. By measuring the hematoma thickness at multiple points, this invention offers a wider detection range compared to patch-type hematoma detectors, and the data can be recorded. The thickness at different points can depict the specific shape and location of the hematoma.

[0129] In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inner", "outer", "inner side", "outer side", etc. indicate the orientation or positional relationship.

[0130] In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," "joining," and "assembly" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0131] In the description of embodiments of the present invention, specific features, structures, materials or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0132] In the description of the embodiments of the present invention, it should be understood that "-" and "~" represent a range of two numerical values, and this range includes the endpoints. For example, "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0133] In the description of embodiments of the present invention, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0134] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An epidural and subdural hematoma monitoring system, characterized in that, When the epidural and subdural hematoma monitoring system is executed, it enables the implementation of method steps, including: S1: Acquire the detection signal of the patient's head, the detection signal including the coordinates of the detection point and the hematoma thickness corresponding to the detection point; S11: The headgear-like structure adapts to the deformation of the head shape, causing the original markers on its surface that coincide with the compensation reference points to shift. The coordinates of the shifted markers are used as the actual coordinates of the detection points. S12: By calculating the difference between the actual coordinates of the detection point and the coordinates of the compensation reference point in the reference coordinate system, the actual coordinate values ​​are transformed into reference coordinate values ​​in the reference coordinate system. S13: Obtain the reference coordinates of the detection point as the coordinates of the detection point, wherein the reference coordinates are the values ​​corresponding to the actual coordinates in the reference coordinate system; S2: The detection signal is input into the reconstruction model for reconstruction to obtain detection data. The reconstruction model restores the discrete detection signal into continuous detection data. S21: Obtain detection data; S22: Obtain the shape of the patient's head within the detection area, and calculate the displacement changes between the compensation reference point and the marker point to provide feedback on the patient's head shape; S23: Based on the shape of the patient's head within the detection area, obtain the compensation coefficient for that detection area using a compensation algorithm; S24: Based on the compensation coefficient within the detection area, obtain the compensated detection data for the detection area; S3: Output the detection results.

2. A computer-readable storage medium, characterized in that, Used for storing the epidural and subdural hematoma monitoring system as described in claim 1.

3. A device for monitoring epidural and subdural hematomas, characterized in that, include, The epidural and subdural hematoma monitoring system as described in claim 1; Detection components; processor; Memory; Output components; The detection component includes multiple detection units, which are used to detect the thickness of epidural and subdural hematomas at local locations on the patient's head. The memory is used to store the epidural and subdural hematoma monitoring system; The processor is used to execute the epidural and subdural hematoma monitoring system stored in the memory, so that the device performs the method steps; The output component is used to output the detection results.

4. The device for monitoring epidural and subdural hematoma according to claim 3, characterized in that, The detection component is made of a flexible material and is in the form of a thin sheet; The elastic material has a headgear-like structure; The headgear-like structure is used to cover the area of ​​the patient's head to be tested. The area to be detected does not include the eyes, nose, mouth, ears, or cheeks. The elastic material has a front and a back. The front is the side facing the patient's head, and the back is the side away from the patient's head. The front has a detection unit; The reverse side has marked points.

5. The device for monitoring epidural and subdural hematoma according to claim 4, characterized in that, It has detection auxiliary components; The detection auxiliary component has a mesh structure, which is composed of linear structures. The detection auxiliary component includes an image acquisition component; Among them, the intersection of linear structures is the compensation reference point; The mesh structure is inelastic and bendable, and it droops naturally due to gravity.

6. The device for monitoring epidural and subdural hematoma according to claim 5, characterized in that, When the detection component is not subjected to external force, the mesh structure can adhere to the back of the elastic material; The compensation reference point and the marker point are in one-to-one correspondence.

7. The device for monitoring epidural and subdural hematoma according to claim 6, characterized in that, The positions of the marker points correspond one-to-one with the positions of the detection units.

8. The device for monitoring epidural and subdural hematoma according to claim 7, characterized in that, A compensation reference point and its corresponding marker point will not undergo relative displacement.

9. The device for monitoring epidural and subdural hematoma according to claim 8, characterized in that, The detection unit includes a signal transmitter and a signal receiver; The signal transmitter is surrounded by multiple signal receivers; The signal transmitter emits near-infrared light, and the signal receiver receives the near-infrared light.

Images