Feeding safety assessment system and method for critically ill intubated patients with epilepsy

Abstract

This application relates to the field of medical analysis technology, and in particular to a feeding safety assessment system and method for critically ill epilepsy patients requiring intubation. This application creatively integrates patient safety and feeding tubing safety into an integrated risk monitoring system for epilepsy patients. By quantitatively analyzing multi-dimensional factors such as tubing material aging and the intensity and duration of epileptic seizures, it achieves a shift from passive alarm to proactive and precise protection, significantly improving the refinement and proactivity of safety management.

Description

Technical Field

[0001] This application relates to the field of medical analysis technology, and in particular to a feeding safety assessment system and method for critically ill intubated patients with epilepsy. Background Technology

[0002] In clinical settings such as neurological intensive care units, general ICUs, and pediatric ICUs, the medical care of patients with status epilepticus, severe traumatic brain injury, or other causes of impaired consciousness and who have indwelling feeding tubes or other feeding tubes presents an extremely severe challenge: ensuring both the patient's feeding safety and physical safety during a seizure. The feeding tube is the lifeline for these patients, responsible for delivering nutrition, fluids, and medications; its patency and stability are crucial. However, the unpredictable nature of seizures makes tube safety and patient safety a complex and high-risk contradiction.

[0003] The main problems and deficiencies in current clinical practice are as follows: Current nursing protocols rely primarily on physical restraints and manual rounds. Physical restraints (such as restraint straps) not only violate patient dignity and easily cause skin damage and agitation, but also, during tonic-clonic seizures, may not be effective in preventing patients from pulling or tugging at the feeding tube due to violent, unconscious limb convulsions, leading to unplanned extubation. Once this happens, it not only interrupts life support but may also cause damage to the nasal mucosa, esophagus, and even airway. Reinsertion increases patient suffering, infection risk, and consumes significant medical resources. Traditional monitoring and alarm devices (such as bed exit alarms and simple tube tension sensors) have limited functionality, only issuing alarms when the tube has been significantly pulled or dislodged, representing reactive intervention. They cannot identify risks in the early stages of a seizure, let alone quantify or locate those risks. There is a lack of monitoring of the tube's own aging condition: Feeding tubes (usually made of silicone) undergo material aging after long-term use, repeated flushing, and contact with medications, manifesting as decreased elasticity, increased brittleness, and micro-damage on the surface. This kind of hidden performance degradation can significantly reduce the tolerance limit of tubing under sudden tension. Currently, clinical assessment of tubing condition relies entirely on the visual observation and experience of nursing staff, lacking objective and quantitative testing methods, making it impossible to predict when aging tubing will rupture due to a seemingly minor vibration.

[0004] In summary, there is an urgent need in this field for a safety monitoring and assessment system that can go beyond the traditional passive alarm mode and achieve proactive, forward-looking, quantitative, and visualized monitoring and assessment. Summary of the Invention

[0005] To overcome the defects and shortcomings of existing technologies, this application provides a feeding safety assessment system and method for critically ill epilepsy patients requiring intubation. This solution creatively integrates patient safety and feeding tubing safety into an integrated risk monitoring system for epilepsy patients. By quantitatively analyzing multi-dimensional factors such as pipe material aging and the intensity and duration of epileptic seizures, it achieves a shift from passive alarm to proactive and precise protection, significantly improving the refinement and proactivity of safety management.

[0006] To achieve the above objectives, this application adopts the following technical solution: In the first aspect, this application provides a feeding safety assessment system for critically ill epileptic patients requiring intubation, including the following modules: The system comprises an epilepsy symptom acquisition module, a feeding tube analysis module, an epilepsy seizure impact analysis module, a tube hazard assessment module, a tube impact location identification module, and a hazard marker alert module. Specifically, the epilepsy symptom acquisition module acquires the force and vibration conditions at various locations during a patient's epileptic seizure; the feeding tube analysis module acquires the feeding tube conditions at various locations and analyzes the tube's capacity at each location; the epilepsy seizure impact analysis module analyzes the patient's injury abnormalities at each location based on the force and vibration conditions at each location and the feeding tube conditions at each location during the patient's epileptic seizure; the tube hazard assessment module assesses the tube hazard at each location based on the tube capacity analysis results and the force and vibration conditions at each location during the patient's epileptic seizure; the tube impact location identification module identifies the risk at each location based on the patient's injury abnormalities at each location and the tube hazard assessment; and the hazard marker alert module marks risk locations on the constructed medical scenario model.

[0007] In one implementation of this application, the force and vibration at each location during the occurrence of epileptic symptoms are the output force, average vibration amplitude, and average vibration frequency at each location of the patient during the occurrence of epileptic symptoms. These are obtained by averaging historical data acquired by mechanical and vibration sensors distributed at each location. The condition of the feeding tube at each location includes the elasticity, safety force, surface damage, and distance from the human body of the feeding tube at each location. The elasticity is represented by the reciprocal of the elastic modulus. The lower the elastic modulus, the more flexible the tube is and the easier it is to be stretched or compressed under external force.

[0008] In one implementation of this application, the analysis of the load-bearing capacity of the feeding pipes at each location includes the following specific aspects: The elasticity, safety stress, and surface damage of the feeding pipe at each location are obtained. The surface damage is analyzed to identify damage anomalies at the corresponding locations. Then, the current elasticity and safety stress of the feeding pipe at the corresponding location are obtained by subtracting the damage anomaly from the value 1 and multiplying the difference by the original elasticity and safety stress of the feeding pipe at that location. The analysis of damage anomalies at the corresponding locations includes: obtaining an image of the feeding pipe at the corresponding location; obtaining the average of the standard deviations of the pixel values ​​of the feeding pipe image from the normal pixel value range to obtain the image damage value at the corresponding location; and multiplying the image damage value at the corresponding location by an image influence coefficient to obtain the damage anomaly at the corresponding location. The image influence coefficient is obtained by averaging corresponding values ​​derived from historical test data.

[0009] In one implementation of this application, the hazard assessment of pipelines at each location specifically includes the following: The first step involves acquiring the current elasticity, safe stress, and distance from the corresponding position on the feeding tube at each location. Simultaneously, it acquires the output force, average amplitude of shaking, and average frequency of shaking at each location when epileptic symptoms occur. This step lays the foundation for the entire model. By simultaneously collecting the force applied by the patient and the tube's bearing capacity, the comprehensiveness and personalization of the risk assessment are ensured. The abstract risk is transformed into a series of measurable physical and engineering parameters, providing accurate input for subsequent quantitative calculations. The risk of any structure depends on the comparison between the external load and its own structural strength. Therefore, it is necessary to quantify the load and strength and consider the key spatial factor of the relative position of the load and the target. The second step involves subtracting the distance between the feeding tube and the corresponding position on the human body from the average amplitude of the shaking at the corresponding position, and then dividing by the safe distance to obtain the shaking distance abnormality coefficient. The average shaking frequency is divided by the safe shaking frequency to obtain the shaking frequency abnormality coefficient. The shaking abnormality is obtained by multiplying the shaking frequency abnormality coefficient and the shaking distance abnormality coefficient at the corresponding position. This step quantifies and integrates the threats in the two dimensions of spatial invasiveness and temporal persistence in epilepsy symptoms. By calculating the distance abnormality coefficient and the frequency abnormality coefficient and multiplying them, the most dangerous shaking pattern that is both easy to hit the tube and has a continuous high-frequency impact can be identified. The third step is to obtain the pipeline's safe elasticity by dividing it by the current elasticity of the feeding pipeline at the corresponding position to obtain the pipeline's elasticity anomaly at the corresponding position. The pipeline's stress anomaly is obtained by dividing the output force at the corresponding position of the patient by the current safe force of the feeding pipeline at the corresponding position. The pipeline's elasticity anomaly is then multiplied by the elasticity influence coefficient to obtain the pipeline's elasticity anomaly influence value. Finally, the pipeline's elasticity anomaly influence value is obtained by multiplying the sum of the pipeline's elasticity anomaly influence value and the value one by the pipeline's stress anomaly. Instead of simply comparing the external force with the pipeline's strength, the implicit impact of pipeline material aging on its impact resistance is considered first. The fourth step is to multiply the abnormal shaking at the corresponding location with the actual abnormal pipe force at the corresponding location to obtain the pipe abnormality at the corresponding location. Then, multiply the pipe abnormality at the corresponding location by the standardized average duration of the epileptic seizure to obtain the pipe hazard result at the corresponding location caused by the epileptic seizure. This step is the core integration of risk assessment. It combines the external threat from the patient with the internal vulnerability of the pipe itself and introduces the time dimension. By multiplying by the average duration of the epileptic seizure, the model not only considers the instantaneous intensity of the impact but also the duration of the risk exposure, thereby obtaining the overall hazard value that the location suffers in a single seizure. The fifth step is to obtain the pipeline hazard results of the pipelines at both ends of the corresponding pipeline location, sum them, and multiply them by the pipeline hazard propagation coefficient to obtain the pipeline hazard impact results of other pipeline segments. The pipeline is an interconnected whole, and the hazard at one location will be transmitted and spread to adjacent segments along the pipeline. By calculating the pipeline hazard impact results of other pipeline segments, the model avoids treating each location as an isolated point. The sixth step is to sum the pipeline hazard results at the corresponding location with the pipeline hazard impact results of other pipeline segments to obtain the final judgment result of the pipeline hazard at the corresponding location. The basic risk generated by the location itself is added together with the additional risk transmitted from other parts of the system to obtain the total risk value faced by the location. This ensures that the assessment result reflects both the local situation and the global correlation, and is the most comprehensive risk indicator. The seventh step is to compare the final assessment result of the pipeline hazard at the corresponding location with the pipeline hazard threshold. If the final assessment result of the pipeline hazard at the corresponding location is greater than or equal to the pipeline hazard threshold, it is determined that there is a risk of damage to the pipeline at that location. If the final assessment result of the pipeline hazard at the corresponding location is less than the pipeline hazard threshold, it is determined that there is no risk of damage to the pipeline at that location. This transforms the continuous and quantified risk calculation results into a clear and actionable binary judgment.

[0010] In one implementation of this application, the analysis of injury abnormalities in epileptic individuals at various locations includes the following specific aspects: The first step is to obtain the elasticity and output force of various parts of the patient's body, as well as the abnormal shaking in each part; The second step involves dividing the body's safe elasticity by the elasticity of the corresponding body location to obtain the elasticity abnormality at that location. Dividing the output force at the corresponding body location by the safe force also yields the force abnormality at that location. Multiplying the elasticity abnormality at that location by the elasticity influence coefficient yields the elasticity abnormality influence value at that location. Finally, multiplying the sum of the elasticity abnormality influence value and the numerical value at that location by the force abnormality at that location yields the true force abnormality value at that location. This process considers both the intrinsic properties of body tissues and the external loads imposed during epileptic seizures, and incorporates tremor abnormalities that characterize abnormal movement patterns. This ensures that the assessment is comprehensive and personalized, tailored to the different body parts of each patient. The third step is to multiply the abnormal force value at the actual corresponding location by the abnormal shaking value at the corresponding location, and then multiply the product by the standardized average duration of the epileptic seizure to obtain the abnormal injury of the epileptic person at the corresponding location. Instead of simply comparing the external force with the standard safety value, the health status of the body tissue itself is considered first. The fourth step is to compare the abnormal injury of the epileptic person at the corresponding location with the threshold for abnormal injury of the epileptic person. If the abnormal injury of the epileptic person at the corresponding location is greater than or equal to the threshold for abnormal injury of the epileptic person, it means that the corresponding location requires human protection. If the abnormal injury of the epileptic person at the corresponding location is less than the threshold for abnormal injury of the epileptic person, it means that the corresponding location does not require human protection.

[0011] In one implementation of this application, the corresponding location risk identification includes the following specific aspects: Obtain the final assessment results of epileptic injuries and pipeline hazards at each location. If a location requires human protection and the pipeline at that location is at risk of damage, then the pipeline needs to be re-marked and rerouted, avoiding that location. If a location requires human protection but the pipeline is not at risk of damage, then protective markings need to be made at the location of the personnel. If a location does not require human protection but the pipeline is at risk of damage, then protective markings need to be made at the location of the pipeline.

[0012] Secondly, this application also provides a method for assessing the feeding safety of intubated patients with severe epilepsy, including the following specific steps: To obtain information on the force and shaking experienced at various locations during the onset of the patient's epileptic symptoms; Obtain information on the feeding pipes at each location and analyze the load-bearing capacity of the feeding pipes at each location; The analysis of the force and shaking at different locations during the occurrence of epileptic symptoms, as well as the condition of the feeding tubes at different locations, reveals abnormal injuries in epileptic patients at each location. The risk assessment of each feeding tube location was conducted based on the analysis results of the bearing capacity of each location and the force and shaking at each location when the patient's epileptic symptoms occurred. Risk identification for corresponding locations is achieved through injury abnormalities in epileptic patients at various locations and hazard assessments of pipelines at various locations. Risk locations are marked on the constructed medical scenario model.

[0013] Thirdly, this application provides an electronic conduit, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a feeding safety assessment method for intubated patients with severe epilepsy by calling the computer program stored in the memory.

[0014] Fourthly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a feeding safety assessment method for severely epileptic intubated patients.

[0015] Compared with the prior art, this application has the following advantages and beneficial effects: This solution, designed for epilepsy patients, creatively integrates patient safety and feeding tubing safety into a unified risk monitoring system. By quantitatively analyzing multiple factors such as pipe material aging and the intensity and duration of epileptic seizures, it transforms the approach from passive alarm to proactive and precise protection, significantly improving the refinement and proactivity of safety management. Attached Figure Description

[0016] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall process structure of an embodiment of the method of this application; Figure 2 This is a schematic diagram of the structure for pipeline hazard analysis in an embodiment of the method of this application; Figure 3 This is a schematic diagram of the process structure for personnel injury analysis in an embodiment of the method of this application; Figure 4 This is a schematic diagram of the module composition structure of an embodiment of the system in this application. Detailed Implementation

[0017] The technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of this application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0018] Please see Figures 1 to 3 , Figure 1 This is a schematic diagram of the overall process of the feeding safety assessment method for critically ill intubated patients with epilepsy provided in this application embodiment, which specifically includes the following steps: Acquire information on the force and shaking at various locations during the onset of the patient's epileptic symptoms; acquire information on the feeding tube at each location and analyze the load-bearing capacity of the feeding tube at each location; Among them, the force and shaking conditions at each location during the occurrence of epileptic symptoms are the output force, average shaking amplitude, and average shaking frequency at each location of the patient during the occurrence of epileptic symptoms. These are obtained by averaging historical data obtained by sensors distributed at each location to measure the force and shaking conditions. The conditions of the feeding tube at each location include the elasticity, safety force, surface damage, and distance from the human body of the feeding tube at each location. The elasticity is represented by the reciprocal of the elastic modulus. The lower the elastic modulus, the more flexible the tube is and the easier it is to be stretched or compressed under external force. The analysis of the load-bearing capacity of the feeding pipes at various locations includes the following specific details: The process involves acquiring the elasticity, safety stress, and surface damage of the feeding pipes at various locations. Analyzing the surface damage reveals abnormalities at corresponding locations. Then, the current elasticity and safety stress of the feeding pipe at a given location are obtained by subtracting the abnormality from the original value and multiplying the result by the original elasticity and safety stress of the feeding pipe at that location. The analysis of abnormal damage at corresponding locations includes: acquiring images of the feeding pipe at the corresponding location; obtaining the average of the standard deviations of the pixel values ​​in the image from the normal pixel value range to obtain the image damage value; and multiplying the image damage value by an image influence coefficient to obtain the abnormality at the corresponding location. The image influence coefficient is obtained by averaging corresponding values ​​derived from historical test data. A specific example is as follows: acquiring historical data images and the corresponding elasticity and safety stress of the feeding pipe; calculating the image damage value and the corresponding elasticity and safety stress of the feeding pipe in the historical data images; importing these values ​​into MATLAB fitting software; performing continuous fitting; and outputting the image influence coefficient value that achieves the maximum accuracy. The risk assessment of each feeding tube location was conducted based on the analysis results of the bearing capacity of each location and the force and shaking at each location when the patient's epileptic symptoms occurred. The hazard assessment of pipelines at each location specifically includes the following: The first step involves acquiring the current elasticity, safe stress, and distance from the corresponding position on the feeding tube at each location. Simultaneously, it acquires the output force, average amplitude, and average frequency of shaking at each location when epileptic symptoms occur. This step lays the foundation for the entire model. By simultaneously collecting the force applied by the patient (epilepsy symptom data) and the tube's bearing capacity (tube attribute data), the comprehensiveness and personalization of the risk assessment are ensured. The abstract risk is transformed into a series of measurable physical and engineering parameters, providing precise input for subsequent quantitative calculations. The risk of any structure depends on the comparison between the external load and its own structural strength. Therefore, it is necessary to quantify the load (patient's output force, amplitude, and frequency) and strength (tube's safe stress and elasticity), and consider the key spatial factor of the relative position (distance) between the load and the target. The second step involves subtracting the distance between the feeding tube and the corresponding position on the human body from the average amplitude of the shaking at the corresponding position, and then dividing by the safe distance to obtain the shaking distance anomaly coefficient. The average shaking frequency is divided by the safe shaking frequency to obtain the shaking frequency anomaly coefficient. The shaking anomaly is obtained by multiplying the shaking frequency anomaly coefficient at the corresponding position by the shaking distance anomaly coefficient. This step quantifies and integrates the threats in the two dimensions of spatial invasiveness (amplitude) and temporal persistence (frequency) in epilepsy symptoms. By calculating the distance anomaly coefficient and the frequency anomaly coefficient and multiplying them, the most dangerous shaking pattern that is both easy to hit the tube and has a continuous high-frequency impact can be identified, rather than a single-dimensional anomaly. The destructive power of a mechanical impact depends not only on its intensity (amplitude) but also on its cumulative effect (frequency). A shaking with a large amplitude but a low frequency, and a shaking with a medium amplitude but a very high frequency, can both cause serious risks. The multiplicative model can amplify the combined effect of this dual anomaly. The third step involves dividing the safe elasticity of the feeding tube at the corresponding location by the current elasticity of the feeding tube at that location to obtain the tube elasticity anomaly at that location. The output force at the corresponding location of the patient is divided by the current safe force of the feeding tube at that location to obtain the tube force anomaly. The tube elasticity anomaly is multiplied by the elasticity influence coefficient to obtain the tube elasticity anomaly influence value. The sum of the tube elasticity anomaly influence value and the value one is multiplied by the tube force anomaly to obtain the true tube force anomaly value. Instead of simply comparing the external force with the tube strength, the model first considers the implicit influence of tube material aging (elasticity anomaly) on its impact resistance and then incorporates this influence into the final force assessment. This allows the model to identify the real risks faced by a tube that appears to meet the strength standards but is actually aged. The fourth step involves multiplying the abnormal vibration at the corresponding location by the actual abnormal pipe stress at that location to obtain the pipe abnormality at that location. Then, multiplying the pipe abnormality at the corresponding location by the standardized average duration of epileptic seizures gives the pipe hazard result caused by the epileptic seizure at that location. This step is the core integration of risk assessment. It combines the external threat from the patient (abnormal vibration) with the internal vulnerability of the pipe itself (actual abnormal pipe stress) and introduces the time dimension. By multiplying by the average duration of epileptic seizures, the model considers not only the instantaneous intensity of the impact but also the duration of risk exposure, thereby obtaining the total amount of risk that the location suffers in a single seizure. Fatigue and damage of many materials is a cumulative process related to stress level and number of cycles (or time). This calculation simulates the classic risk paradigm of threat × vulnerability × exposure time, where the standardization process is to divide by the standard value of the corresponding parameter. The fifth step is to sum the pipeline hazard results at both ends of the corresponding pipeline location and multiply them by the pipeline hazard propagation coefficient to obtain the pipeline hazard impact results for other pipeline segments. Pipelines are an interconnected whole, and a hazard at one location (such as pulling or twisting) will be transmitted and spread along the pipeline to adjacent segments. By calculating the pipeline hazard impact results for other pipeline segments, the model avoids treating each location as an isolated point, thus more realistically reflecting the actual risk scenarios in clinical practice where a single incident can have far-reaching consequences. The sixth step is to sum the pipeline hazard results at the corresponding location with the pipeline hazard impact results of other pipeline segments to obtain the final judgment result of the pipeline hazard at the corresponding location. The basic risk generated by the location itself is added together with the additional risk transmitted from other parts of the system to obtain the total risk value faced by the location. This ensures that the assessment result reflects both the local situation and the global correlation, and is the most comprehensive risk indicator. The seventh step is to compare the final assessment result of the pipeline hazard at the corresponding location with the pipeline hazard threshold. If the final assessment result of the pipeline hazard at the corresponding location is greater than or equal to the pipeline hazard threshold, it is determined that there is a risk of damage to the pipeline at that location; if the final assessment result of the pipeline hazard at the corresponding location is less than the pipeline hazard threshold, it is determined that there is no risk of damage to the pipeline at that location. This transforms the continuous and quantitative risk calculation results into a clear and actionable binary judgment, which sets a clear safety boundary, enabling the model's results to be converted into a decision-making basis that can directly guide clinical intervention. The analysis of the force and shaking at different locations during the occurrence of epileptic symptoms, as well as the condition of the feeding tubes at different locations, reveals abnormal injuries in epileptic patients at each location. The analysis of injury abnormalities in epilepsy patients at various locations includes the following specific details: The first step is to obtain the elasticity and output force of various parts of the patient's body, as well as the abnormal shaking in each part; The second step involves dividing the body's safe elasticity by the elasticity of the corresponding body location to obtain the elasticity anomaly at that location. Dividing the output force at the corresponding body location by the safe force yields the force anomaly at that location. Multiplying the elasticity anomaly at that location by the elasticity influence coefficient gives the elasticity anomaly influence value. Finally, multiplying the sum of the elasticity anomaly influence value and the numerical value by the force anomaly at that location gives the true force anomaly value. This process considers both the intrinsic properties of body tissues (elasticity at each location, i.e., vulnerability) and the external load exerted by the epileptic seizure (output force, i.e., threat), and incorporates tremor anomalies characterizing abnormal movement patterns. This ensures that the assessment is comprehensive and personalized, tailored to each patient's specific body part. Whether a body part is injured depends on the intensity of the external impact (output force, tremor pattern) and the tissue's ability to resist damage (elasticity, strength). The third step is to multiply the abnormal force value at the actual corresponding location by the abnormal shaking value at the corresponding location, and then multiply the product by the normalized average duration of the epileptic seizure to obtain the abnormal injury of the epileptic person at the corresponding location. Instead of simply comparing the external force with the standard safety value, the model first considers the health status of the body tissue itself (elasticity abnormality). A part with poor elasticity (such as edema, atrophy, or inherent fragility) will have a reduced ability to resist damage. By introducing the influence value of elasticity abnormality, the model amplifies this inherent fragility and incorporates it into the final force assessment, enabling the model to identify special parts that seem to have little force but are actually high-risk. The fourth step is to compare the abnormal injury of the epileptic person at the corresponding location with the threshold for abnormal injury of the epileptic person. If the abnormal injury of the epileptic person at the corresponding location is greater than or equal to the threshold for abnormal injury of the epileptic person, it means that the corresponding location requires human protection. If the abnormal injury of the epileptic person at the corresponding location is less than the threshold for abnormal injury of the epileptic person, it means that the corresponding location does not require human protection. Risk identification for corresponding locations is achieved through injury abnormalities in epileptic patients at various locations and hazard assessments of pipelines at various locations. The risk identification for the corresponding location includes the following specific contents: Obtain the final judgment results of the injury abnormalities of epileptic personnel and pipeline hazards at each corresponding location. If the judgment result is that the corresponding location requires human protection and the pipeline at the corresponding location is at risk of damage, then the pipeline needs to be re-marked and rerouted to avoid that location. If the corresponding location requires human protection but the pipeline is not at risk of damage, then protection markings need to be made at the corresponding personnel location. If the corresponding location does not require human protection but the pipeline is at risk of damage, then protection markings need to be made at the corresponding pipeline location. Mark the risk locations on the constructed medical scenario model; The specific steps are as follows: First, high-precision spatial data of the real medical environment is collected using technologies such as laser scanning or photogrammetry. Then, 3D modeling software (such as Blender and 3ds Max) is used to process the point cloud data and construct the geometric model of the scene. Next, texture mapping and material rendering are performed on the model to enhance visual realism. Finally, dynamic elements such as equipment, human bodies, and pipelines are integrated into the scene as parametric components, and physical properties and spatial coordinate systems are set to generate an interactive 3D model that can be used for risk analysis and path planning. Each assessed location node is traversed; if it is identified that the location requires human protection and there is a risk of pipeline damage, ... For complex risks, the model will mark the pipeline rerouting scheme with a bright, flashing dashed line on the optimized path that avoids this location. If it is determined that human protection is required but there is no risk of pipeline damage, a conspicuous protection icon (such as a shield symbol) will be overlaid on the corresponding part of the human body (such as the arm or shoulder) in the model and the area will be highlighted. If it is determined that human protection is not required but there is a risk of pipeline damage, the corresponding section of the pipeline in the model will be covered with a warning color (such as red) and the risk level will be marked. Finally, all risk locations and protection guidelines are presented intuitively in a unified 3D scene model, providing medical staff with accurate spatial decision support. The setting parameters (threshold and safety values, etc.) in this embodiment are determined as follows: The force and shaking conditions at various locations during the epileptic seizures of historical patients, as well as the condition of the feeding tubes at each location, are obtained; simultaneously, the physical injuries and tube damage at various locations of the patient during the epileptic seizures are obtained; the physical injuries are determined to be non-full-thickness skin damage, and the tube damage is determined to ensure successful feeding in future cycles. The force and shaking conditions at various locations during the epileptic seizures of historical patients, as well as the condition of the feeding tubes at each location, are imported into MATLAB fitting software for fitting, and the output values ​​of the physical injuries and tube damage meet the set parameters with an accuracy rate greater than or equal to 75%. The advantages of the above embodiments are as follows: For epilepsy patients, the system creatively integrates patient safety and feeding tubing safety into an integrated risk monitoring system. By quantitatively analyzing multi-dimensional factors such as pipe material aging and the intensity and duration of epileptic seizures, it achieves a shift from passive alarm to proactive and precise protection, significantly improving the refinement and proactivity of safety management.

[0019] Please see Figure 4 , Figure 4 This is a schematic diagram of the feeding safety assessment system for critically ill intubated patients with epilepsy provided in this application embodiment, including: The system comprises four modules: Epilepsy Symptom Acquisition, Feeding Tube Analysis, Epilepsy Seizure Impact Analysis, Tube Risk Assessment, Tube Impact Location Identification, and Hazard Marking Reminder. Specifically, the Epilepsy Symptom Acquisition module acquires information on the force and vibration at various locations during a patient's epileptic seizure; the Feeding Tube Analysis module acquires information on the feeding tube at each location and analyzes its capacity; the Epilepsy Seizure Impact Analysis module analyzes the patient's injury abnormalities at each location based on the force and vibration at each location and the feeding tube's condition; the Tube Risk Assessment module assesses the risk of feeding tubes at each location based on the capacity analysis results and the force and vibration at each location during a patient's epileptic seizure; the Tube Impact Location Identification module identifies the risk at each location based on the patient's injury abnormalities and the tube risk assessment; and the Hazard Marking Reminder module marks risk locations on the constructed medical scenario model. The connection structure of the corresponding system modules is as follows: Figure 4 As shown, the two outputs of the epilepsy symptom acquisition module are connected to the epilepsy seizure impact analysis module and the pipeline hazard assessment module, respectively; the two outputs of the feeding pipeline analysis module are connected to the epilepsy seizure impact analysis module and the pipeline hazard assessment module, respectively; the outputs of the epilepsy seizure impact analysis module and the pipeline hazard assessment module are connected to the pipeline impact location identification module, and the output of the pipeline impact location identification module is connected to the hazard marking reminder module.

[0020] The parameters and steps for implementing the corresponding functions of each unit module in the feeding safety assessment system for severely intubated patients with epilepsy described above can be referred to the parameters and steps in the embodiments of the feeding safety assessment method for severely intubated patients with epilepsy described above, and will not be repeated here.

[0021] Embodiments of this application also provide an electronic conduit, including a memory, a processor, and a communication bus; the memory and the processor are connected via the communication bus. The memory stores a feeding safety assessment method for severely epileptic intubated patients, as provided in the above embodiments, which can be loaded and executed by the processor.

[0022] The memory can be used to store instructions, programs, code, code sets, or instruction sets. The memory may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the feeding safety assessment method for intubated patients with severe epilepsy provided in the above embodiments, etc. The data storage area may store data involved in the feeding safety assessment method for intubated patients with severe epilepsy provided in the above embodiments, etc.

[0023] A processor may include one or more processing cores. The processor executes instructions, programs, code sets, or instruction sets stored in memory, and calls data stored in memory to perform various functions and process data as described in this application. The processor may be at least one of a specific application-specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field-programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It is understood that, for different pipelines, the electronic devices used to implement the above-described processor functions may also be other types, and the embodiments of this application do not specifically limit them.

[0024] A communication bus may include a pathway for transmitting information between the aforementioned components. The communication bus can be a PCI bus or an EISA bus, etc. Communication buses can be categorized into address buses, data buses, control buses, etc.

[0025] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments for assessing the feeding safety of intubated patients with severe epilepsy.

[0026] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A feeding safety assessment system for critically ill epilepsy patients requiring intubation, characterized in that, The system includes the following modules: an epilepsy symptom acquisition module, a feeding tube analysis module, an epilepsy seizure impact analysis module, a tube hazard assessment module, a tube impact location identification module, and a hazard marker reminder module. Specifically, the epilepsy symptom acquisition module acquires the force and vibration conditions at various locations when a patient experiences epileptic seizures; the feeding tube analysis module acquires the feeding tube conditions at various locations and analyzes the tube's capacity at each location; the epilepsy seizure impact analysis module analyzes the patient's injury abnormalities at each location based on the force and vibration conditions at each location and the feeding tube conditions at each location; the tube hazard assessment module assesses the tube hazard at each location based on the feeding tube capacity analysis results and the force and vibration conditions at each location when the patient experiences epileptic seizures; the tube impact location identification module identifies the risk at each location based on the patient's injury abnormalities at each location and the tube hazard assessment; and the hazard marker reminder module marks risk locations on the constructed medical scenario model.

2. The feeding safety assessment system for critically ill epilepsy patients requiring intubation according to claim 1, characterized in that, The analysis of the load-bearing capacity of the feeding pipes at each location includes the following specific details: The elasticity, safety stress, and surface damage of the feeding pipe at each location are obtained. The surface damage is analyzed to identify the damage anomaly at the corresponding location. Then, the current elasticity and safety stress of the feeding pipe at the corresponding location are obtained by subtracting the damage anomaly at the corresponding location from the value of 1 and multiplying the difference by the original elasticity and safety stress of the feeding pipe at the corresponding location. The analysis of the damage anomaly at the corresponding location includes the following: obtaining the image of the feeding pipe at the corresponding location; obtaining the average of the standard deviations of the pixel values ​​of the image of the feeding pipe from the normal pixel value range of the feeding pipe to obtain the image damage value at the corresponding location; and multiplying the image damage value at the corresponding location by the image influence coefficient to obtain the damage anomaly at the corresponding location.

3. The feeding safety assessment system for critically ill epilepsy patients requiring intubation according to claim 1, characterized in that, The hazard assessment of pipelines at each location specifically includes the following: The first step is to obtain the current elasticity, current safe force, and distance from the corresponding position of the feeding tube at each location. At the same time, the output force, average amplitude of shaking, and average frequency of shaking at each location are obtained when epileptic symptoms occur. The second step is to obtain the vibration distance abnormality coefficient by subtracting the distance between the feeding tube and the corresponding position of the human body from the average vibration amplitude at the corresponding position and then dividing by the safe distance. The vibration frequency abnormality coefficient is obtained by dividing the average vibration frequency by the safe vibration frequency. The vibration abnormality is obtained by multiplying the vibration frequency abnormality coefficient at the corresponding position by the vibration distance abnormality coefficient. The third step is to obtain the tube's safe elasticity by dividing it by the current elasticity of the feeding tube at the corresponding position to obtain the tube's elasticity abnormality at the corresponding position. Then, divide the output force at the corresponding position of the patient by the current safe force of the feeding tube at the corresponding position to obtain the tube's force abnormality. Finally, multiply the tube's elasticity abnormality by the elasticity influence coefficient to obtain the tube's elasticity abnormality influence value. Finally, multiply the sum of the tube's elasticity abnormality influence value and the value one by the tube's force abnormality to obtain the true tube force abnormality value. The fourth step is to multiply the vibration anomaly at the corresponding location by the actual abnormal pipe force at the corresponding location to obtain the pipe anomaly at the corresponding location, and then multiply the pipe anomaly at the corresponding location by the standardized average duration of epileptic seizures to obtain the pipe danger result at the corresponding location caused by epileptic seizures.

4. The feeding safety assessment system for critically ill intubated patients with epilepsy according to claim 3, characterized in that, The hazard assessment of pipelines at each location also includes the following specific details: The fifth step is to sum the pipeline hazard results of the pipelines at both ends of the corresponding pipeline location, and then multiply the sum by the pipeline hazard propagation coefficient to obtain the pipeline hazard impact results of other pipeline segments. The sixth step is to sum the pipeline hazard results at the corresponding location with the pipeline hazard impact results of other pipeline segments to obtain the final pipeline hazard judgment result at the corresponding location. The seventh step is to compare the final assessment result of the pipeline hazard at the corresponding location with the pipeline hazard threshold. If the final assessment result of the pipeline hazard at the corresponding location is greater than or equal to the pipeline hazard threshold, it is determined that there is a risk of damage to the pipeline at that location; if the final assessment result of the pipeline hazard at the corresponding location is less than the pipeline hazard threshold, it is determined that there is no risk of damage to the pipeline at that location.

5. The feeding safety assessment system for critically ill epilepsy patients requiring intubation according to claim 1, characterized in that, The analysis of abnormal injuries in epileptic individuals at various locations includes the following specific details: The first step is to obtain the elasticity and output force of various parts of the patient's body, as well as the abnormal shaking in each part; The second step is to obtain the elasticity abnormality at the corresponding position by dividing the body's safe elasticity by the elasticity of the corresponding position of the patient's body, to obtain the force abnormality at the corresponding position by dividing the output force at the corresponding position of the patient's body by the safe force, to obtain the elasticity abnormality influence value at the corresponding position by multiplying the elasticity abnormality at the corresponding position by the elasticity influence coefficient, and to obtain the actual force abnormality value at the corresponding position by multiplying the sum of the elasticity abnormality influence value at the corresponding position and the value one by the force abnormality at the corresponding position. The third step is to multiply the abnormal force value at the actual corresponding location by the abnormal shaking value at the corresponding location, and then multiply the product by the standardized average duration of the epileptic seizure to obtain the abnormal injury of the epileptic person at the corresponding location. The fourth step is to compare the abnormal injury of the epileptic person at the corresponding location with the threshold for abnormal injury of the epileptic person. If the abnormal injury of the epileptic person at the corresponding location is greater than or equal to the threshold for abnormal injury of the epileptic person, it means that the corresponding location requires human protection. If the abnormal injury of the epileptic person at the corresponding location is less than the threshold for abnormal injury of the epileptic person, it means that the corresponding location does not require human protection.

6. The feeding safety assessment system for critically ill intubated patients with epilepsy according to claim 1, characterized in that, The corresponding location risk identification includes the following specific contents: Obtain the final assessment results of epileptic injuries and pipeline hazards at each location. If a location requires human protection and the pipeline at that location is at risk of damage, then the pipeline needs to be re-marked and rerouted, avoiding that location. If a location requires human protection but the pipeline is not at risk of damage, then protective markings need to be made at the location of the personnel. If a location does not require human protection but the pipeline is at risk of damage, then protective markings need to be made at the location of the pipeline.

7. The feeding safety assessment system for critically ill intubated patients with epilepsy according to claim 1, characterized in that, The force and vibration at each location during the occurrence of epileptic symptoms are the output force, average vibration amplitude, and average vibration frequency at each location of the patient during the occurrence of epileptic symptoms. These are obtained by averaging historical data acquired by sensors distributed at each location to measure the force and vibration. The feeding tube conditions at each location include the elasticity, safety force, surface damage, and distance from the human body of the feeding tube at each location.

8. A method for assessing the feeding safety of intubated patients with severe epilepsy, implemented based on the feeding safety assessment system for intubated patients with severe epilepsy as described in any one of claims 1-7, characterized in that, Specifically, it includes: Obtain information on the force and shaking at various locations when the patient experiences epileptic symptoms; Obtain information on the feeding pipes at each location and analyze the load-bearing capacity of the feeding pipes at each location; The analysis of the force and shaking at different locations during the occurrence of epileptic symptoms, as well as the condition of the feeding tubes at different locations, reveals abnormal injuries in epileptic patients at each location. The risk assessment of each feeding tube location was conducted based on the analysis results of the bearing capacity of each location and the force and shaking at each location when the patient's epileptic symptoms occurred. Risk identification for corresponding locations is achieved through injury abnormalities in epileptic patients at various locations and hazard assessments of pipelines at various locations. Risk locations are marked on the constructed medical scenario model.

9. An electronic conduit, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the feeding safety assessment method for intubated patients with severe epilepsy as described in claim 8 by calling the computer program stored in the memory.

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