Assisted improvement of the query handover system and method for muscle bundle relaxation injection

Abstract

This application relates to the field of medical auxiliary systems technology, and in particular to an auxiliary system and method for querying and transferring injections to improve muscle relaxation, comprising: an information acquisition unit; a muscle fasciculations dynamics analysis unit; an antagonistic vector generation unit; a transfer display unit; and an injection logic verification module. The auxiliary system and method for querying and transferring injections to improve muscle relaxation of this application automatically calculates abnormal contraction force vectors and antagonistic muscle fasciculation balance force vectors by collecting muscle fasciculation contraction displacement data, replacing subjective visual estimation and avoiding experience-based discrepancies; it incorporates a muscle fasciculations dynamics balance model, converting abnormal force vectors into injection depth, dosage, and drug diffusion boundaries, enabling scientific design of antagonistic strategies and preventing dosage runaway; it uses three-dimensional vector lines to overlay and display the blocking direction, relative dosage magnitude, and diffusion level, reducing the cognitive load on nurses; and it automatically identifies illegal combinations based on rules such as functional muscle fasciculation avoidance and dosage limits, providing proactive warnings and preventing adverse events such as facial imbalance.

Description

Technical Field

[0001] This application relates to the field of medical auxiliary systems technology, and in particular to an injection query and handover system and method for assisting in improving muscle relaxation. Background Technology

[0002] Muscle fasciculations (such as overactivity of the depressor anguli oris, sustained contraction of the frontalis muscle, and platysma muscle banding) are common causes of facial expression imbalance, deepening of dynamic wrinkles, and localized sagging. Clinically, botulinum toxin or neuromodulatory agents are often injected to improve appearance by weakening the contractile force of abnormally active muscle fasciculations. However, existing injection assistance systems have the following technical limitations when targeting the specific scenario of muscle fasciculations: First, doctors can only qualitatively judge the activity level of muscle bundles by visual inspection or touch, and cannot output quantifiable abnormal contraction force vectors (including traction direction and amplitude), nor can they quantify the balance force vectors of antagonistic muscle bundles, which leads to injection plans relying on subjective experience and unstable treatment effects. Second, the existing system only locates injection points based on static wrinkles and has not established a mechanical relationship between abnormal muscle bundle contraction force and injection parameters (depth, dose, angle, diffusion boundary). It is difficult to scientifically design countermeasures to block abnormal contraction and is prone to problems such as insufficient or excessive dosage and uncontrolled drug diffusion. Third, existing textual records or static diagrams cannot simultaneously express the injection point, blocking direction, relative dose, and diffusion boundary level on the patient's actual image. This results in a high cognitive load for the operating nurses, which can easily lead to incorrect drug injection levels or uncontrolled diffusion range. Fourth, the existing system can only record the treatment plan and cannot actively identify illegal combinations such as "the injection point is too close to the corner of the mouth axis, affecting the smile", "the frontalis muscle point is too low, causing the eyebrows to droop", and "the total dose of the platysma muscle crosses the midline". It cannot prevent adverse events such as facial paralysis and facial imbalance from the source. Summary of the Invention

[0003] This application provides an auxiliary system and method for querying and transferring injections to improve muscle relaxation, in order to improve the above-mentioned technical problems.

[0004] In a first aspect, this application provides an injection query and transfer system for assisting in improving muscle relaxation, which adopts the following technical solution: A system for querying and transferring injections to assist in improving muscle relaxation includes: Information acquisition unit: used to acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Muscle bundle dynamics analysis unit: connected to the information acquisition unit, used to calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle, and the muscle bundle relaxation score based on the three-dimensional surface data and muscle bundle contraction displacement data, wherein the abnormal contraction force vector includes at least the abnormal stretching direction and the abnormal stretching amplitude. The antagonistic vector generation unit is connected to the muscle bundle dynamics analysis unit. It contains a muscle bundle mechanical balance model. The model takes the abnormal contraction force vector and the balance force vector of the antagonistic muscle bundle as inputs, simulates the antagonistic mechanical conditions required to counteract the abnormal contraction force vector so that the muscle bundle can restore mechanical balance, and then generates relaxation vectors for multiple injection points. Each relaxation vector includes the injection depth, injection dose, injection angle and expected drug diffusion boundary. The handover display unit is used to overlay and display the relaxation vector graphics of each injection point on the three-dimensional surface model or real photograph of the patient. The graphics are three-dimensional vector lines. The starting point of the vector line represents the injection point, the direction of the vector line represents the direction of blocking abnormal muscle bundle contraction, the length of the vector line represents the relative size of the injection dose, and the line shape of the vector line represents the expected drug diffusion boundary level. Injection logic verification module: It is connected to the adversarial vector generation unit and the handover display unit respectively. It stores a muscle bundle injection safety rule library. The rule library includes at least functional muscle bundle avoidance rules, single-point dose upper limit rules and total dose diffusion boundary rules. The module automatically verifies whether the relaxation vector of each injection point conforms to the corresponding rule in the rule library, and generates a risk warning mark on the handover display unit when a violation is found.

[0005] In one feasible technical solution of this application, the muscle bundle region includes muscle bundle relaxation points. The location of these points is as follows: the patient is instructed to pull down the corner of the mouth to expose the muscle bundle, and one or more injection points are marked at 0.25 cm intervals along the muscle bundles. The layer of influence of the injection at the muscle bundle relaxation points is the platysma muscle bundle. The injection dosage range is 0 to 20 μI units of botulinum toxin equivalent or equivalent neuromodulator per side.

[0006] In one feasible technical solution of this application, the muscle bundle mechanical balance model is a nonlinear viscoelastic finite element model, and its input parameters also include the patient's age, gender and subcutaneous fat layer thickness; the model outputs the minimum relaxation force vector set required to bring the abnormal contraction force vector of the target muscle bundle to zero through finite element iterative calculation, and then converts the minimum relaxation force vector set into the injection depth, injection dose and injection angle of each injection point.

[0007] In one feasible technical solution of this application, the three-dimensional vector lines in the handover display unit are set as follows: the tail of the vector line is positioned at the projection point on the skin surface of the injection point, and the direction of the vector line is opposite to the direction of abnormal muscle bundle contraction; the length of the vector line is positively correlated with the injection dose; the correspondence between the line type of the vector line and the drug diffusion boundary level is as follows: the first line type represents a point-like diffusion boundary, the second line type represents a linear diffusion boundary, and the third line type represents a network diffusion boundary.

[0008] In one feasible technical solution of this application, the handover and display unit also has a dynamic simulation function: the operator can play a dynamic contraction comparison animation of the patient's muscle bundles before and after injection. The animation is generated based on the abnormal contraction force vector changes before and after injection and is used to show the expected treatment effect to the patient before injection.

[0009] In one feasible technical solution of this application, the muscle bundle injection safety rule base in the injection logic verification module specifically includes: Rules for avoiding interference with the functional muscle bundles of the depressor anguli oris muscle: The distance between the injection point and the axis of the corner of the mouth should not be less than 5mm, and the injection depth should not exceed the subcutaneous fat layer to avoid affecting the smiling muscle bundles; Rules for avoiding functional muscle bundles of the frontalis muscle: injection points should be located more than 15mm above the eyebrow edge, and the distance between adjacent injection points should not be less than 8mm to avoid eyebrow drooping; The upper limit rule for single-point dosage for the orbicularis oculi muscle is: the single-point injection dose shall not exceed 1 μI of botulinum toxin equivalent; The total dose diffusion boundary rule for the platysma muscle is as follows: the total dose injected into one side of the neck should not exceed 20 μI of botulinum toxin equivalent, and the drug diffusion boundary should not cross the midline of the thyroid cartilage.

[0010] In one feasible technical solution of this application, a dynamic expression capture unit is also included. This unit is connected to the information acquisition unit and is used to capture the contraction displacement of muscle bundles and the skin deformation field in real time when the patient performs a preset standard facial expression action, and transmit the captured dynamic data to the muscle bundle dynamics analysis unit to update the abnormal contraction force vector.

[0011] In one feasible technical solution of this application, the dynamic expression capture unit includes a high-speed camera array and an electromyography (EMG) signal sensor. The high-speed camera array is used to collect surface deformation during muscle bundle contraction, and the EMG signal sensor is used to collect abnormal electrical activity of the target muscle bundle. The muscle bundle dynamics analysis unit fuses the surface deformation data and EMG signal data to calculate the abnormal contraction force vector.

[0012] In one feasible technical solution of this application, the risk warning sign adopts one or more of the following forms: superimposing a red flashing border around the relaxed vector graphic of the illegal injection point, changing the color of the three-dimensional vector line of the point to a warning color, or popping up a correction guidance window at the edge of the handover display unit, wherein the correction guidance window displays the specific violated safety rule entries and the recommended injection point adjustment direction and adjustment distance.

[0013] Secondly, this application provides a method for assisting in improving muscle relaxation through injection, employing the following technical solution: A method for assisting in improving muscle relaxation through injection inquiry and handover, applied to the aforementioned system, includes the following steps: Information acquisition steps: Acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Dynamic analysis steps: Based on the three-dimensional surface data and muscle bundle contraction displacement data, calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle, and the muscle bundle relaxation score; Counteracting vector generation step: Input the abnormal contraction force vector and the balance force vector into the muscle bundle mechanical balance model to simulate the counteracting mechanical conditions required to counteract the abnormal contraction, and generate relaxation vectors for multiple injection points. Each relaxation vector includes the injection depth, injection dose, injection angle, and expected drug diffusion boundary. Handover and display steps: On the three-dimensional surface model or real photograph of the patient, overlay and display the relaxation vector graphics of each injection point. The graphics are three-dimensional vector lines. The direction of the vector lines represents the direction of blocking abnormal muscle bundle contraction. The length of the vector lines represents the relative size of the injection dose. The line shape of the vector lines represents the drug diffusion boundary level. Logical verification steps: Based on the pre-stored muscle bundle injection safety rule library, automatically verify whether the relaxation vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

[0014] In summary, this application includes at least one of the following beneficial technical effects: This system enables quantitative assessment of abnormal muscle bundle contraction, reducing reliance on subjective experience. By acquiring three-dimensional surface data and muscle bundle contraction displacement data under dynamic facial expressions through an information acquisition unit, and combining this with a muscle bundle dynamics analysis unit, it can automatically calculate the abnormal contraction force vector of the target muscle bundle (including traction direction and amplitude) and the balance force vector of the antagonistic muscle bundle, while simultaneously outputting a muscle bundle relaxation score. This design transforms traditional qualitative judgments relying on visual inspection or touch into quantifiable mechanical parameters, providing objective and repeatable quantitative evidence for subsequent injection protocols and avoiding instability in treatment outcomes caused by differences in the experience of different doctors. A muscle bundle mechanics balance model is established to enable the design of scientific countermeasure strategies: The countermeasure vector generation unit incorporates a muscle bundle mechanics balance model, using the abnormal contraction force vector and the balance force vector of the antagonistic muscle bundle as inputs to simulate the countermeasure mechanical conditions required to restore muscle bundle mechanics balance. Based on this, a relaxation vector containing injection depth, dosage, angle, and drug diffusion boundary is generated. This approach is the first to mechanically correlate abnormal muscle bundle contraction force with injection parameters, enabling the scientific design of countermeasure strategies to block abnormal contraction. It effectively solves the problems of insufficient or excessive dosage and uncontrolled drug diffusion caused by the lack of a mechanical model in existing technologies, improving the safety and accuracy of treatment. It provides an intuitive and standardized handover display method to reduce the cognitive load of operation: The handover display unit displays the relaxed vector graphics of each injection point in the form of three-dimensional vector lines superimposed on the three-dimensional surface model or real photo of the patient. The starting point of the vector line represents the injection point, the direction represents the blocking direction, the length represents the relative dose, and the line type represents the drug diffusion boundary level. This multi-dimensional visualization replaces the traditional text record or static diagram, enabling the operating nurse to clearly grasp the injection position, blocking direction, dose and diffusion range of each point, which significantly reduces the cognitive load and avoids the wrong level of drug injection or loss of control of diffusion range due to information misunderstanding. The system enables automated safety verification of injection protocols to prevent adverse events at the source: The injection logic verification module has a built-in muscle bundle injection safety rule library that includes functional muscle bundle avoidance rules, single-point dose upper limit rules, and total dose diffusion boundary rules. It can automatically verify whether the relaxation vector of each injection point conforms to the rules and generate a risk warning sign when a violation is detected. This design can proactively identify violation combinations such as "injection point too close to the corner of the mouth axis affecting smiling", "frontalis muscle point too low causing eyebrow drooping", and "total dose of platysma muscle crossing the midline". It prevents serious adverse events such as facial paralysis and facial imbalance from the protocol design stage, significantly improving the safety of injection treatment. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the functional modules of the auxiliary muscle relaxation injection query and handover system according to an embodiment of this application.

[0017] Explanation of reference numerals in the attached figures: 1. Information acquisition unit; 2. Muscle bundle dynamics analysis unit; 3. Adversity vector generation unit; 4. Handover display unit; 5. Injection logic verification module; 6. Dynamic expression capture unit. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0019] Definitions of terms that need to be explained in advance: When a component is referred to as being "fixed to" or "set on" another component, it can be directly on the other component or indirectly on that other component; When a component is referred to as being "connected to" another component, it can be directly or indirectly connected to that other component; The terms “length”, “width”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inner”, “outer”, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the attached drawings, and are only for the convenience of description, and do not indicate or imply that there must be a specific orientation. The terms “first” and “second” are used only to distinguish different components and do not indicate importance or quantity. Unless otherwise expressly defined, “multiple” means two or more.

[0020] The following is in conjunction with the appendix Figure 1 This application will be described in further detail.

[0021] Reference Figure 1 This embodiment provides an auxiliary system for querying and transferring injections to improve muscle relaxation, including: Information acquisition unit 1: used to acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Muscle bundle dynamics analysis unit 2: connected to information acquisition unit 1, used to calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle, and the muscle bundle relaxation score based on three-dimensional surface data and muscle bundle contraction displacement data. The abnormal contraction force vector includes at least the abnormal stretching direction and the abnormal stretching amplitude. The antagonistic vector generation unit 3 is connected to the muscle bundle dynamics analysis unit 2. It contains a muscle bundle mechanical balance model. The model takes the abnormal contraction force vector and the balance force vector of the antagonistic muscle bundle as inputs to simulate the antagonistic mechanical conditions required to counteract the abnormal contraction force vector so that the muscle bundle can restore mechanical balance. Based on this, it generates relaxation vectors for multiple injection points. Each relaxation vector includes the injection depth, injection dose, injection angle and expected drug diffusion boundary. Handover and display unit 4: Used to overlay and display the relaxation vector graphics of each injection point on the three-dimensional surface model or real photograph of the patient. The graphics are three-dimensional vector lines. The starting point of the vector line represents the injection point. The direction of the vector line represents the direction of blocking abnormal muscle bundle contraction. The length of the vector line represents the relative size of the injection dose. The line shape of the vector line represents the expected drug diffusion boundary level. Injection logic verification module 5: It is connected to the adversarial vector generation unit 3 and the handover display unit 4 respectively. It stores a muscle bundle injection safety rule library. The rule library includes at least functional muscle bundle avoidance rules, single-point dose upper limit rules and total dose diffusion boundary rules. The module automatically verifies whether the relaxation vector of each injection point conforms to the corresponding rule in the rule library, and generates a risk warning mark on the handover display unit 4 when a violation is found.

[0022] The beneficial effects of the assisted muscle relaxation injection query and handover system in this embodiment are as follows: This system enables quantitative assessment of abnormal muscle bundle contraction, reducing reliance on subjective experience. By acquiring three-dimensional surface data and muscle bundle contraction displacement data under dynamic facial expressions through information acquisition unit 1, and combining this with muscle bundle dynamics analysis unit 2, it can automatically calculate the abnormal contraction force vector of the target muscle bundle (including traction direction and amplitude) and the balance force vector of the antagonistic muscle bundle, while simultaneously outputting a muscle bundle relaxation score. This design transforms traditional qualitative judgments relying on visual inspection or touch into quantifiable mechanical parameters, providing objective and repeatable quantitative evidence for subsequent injection protocols and avoiding instability in treatment effects caused by differences in the experience of different doctors. A muscle bundle mechanics balance model is established to enable the design of scientific countermeasures: The countermeasure vector generation unit 3 incorporates a muscle bundle mechanics balance model. Using the abnormal contraction force vector and the balance force vector of the antagonistic muscle bundle as inputs, it simulates the countermeasure mechanical conditions required to restore muscle bundle mechanics balance, thereby generating a relaxation vector containing injection depth, dosage, angle, and drug diffusion boundary. This approach is the first to mechanically correlate abnormal muscle bundle contraction force with injection parameters, enabling the scientific design of countermeasures to block abnormal contraction. It effectively solves problems such as insufficient or excessive dosage and uncontrolled drug diffusion caused by the lack of a mechanical model in existing technologies, improving the safety and precision of treatment. Provides an intuitive and standardized handover display method to reduce the cognitive load of operation: The handover display unit 4 displays the relaxed vector graphics of each injection point in the form of three-dimensional vector lines superimposed on the three-dimensional surface model or real photo of the patient. The starting point of the vector line represents the injection point, the direction represents the blocking direction, the length represents the relative dose, and the line type represents the drug diffusion boundary level. This multi-dimensional visualization replaces the traditional text record or static diagram, enabling the operating nurse to clearly grasp the injection position, blocking direction, dose and diffusion range of each point, which significantly reduces the cognitive load and avoids the wrong level of drug injection or loss of control of diffusion range due to information misunderstanding. The injection logic verification module 5 incorporates a muscle bundle injection safety rule library, which includes rules for avoiding functional muscle bundles, single-point dose limits, and total dose diffusion boundaries. It can automatically verify whether the relaxation vector of each injection point conforms to the rules and generate a risk warning sign when a violation is detected. This design can proactively identify violations such as "injection point too close to the corner of the mouth axis affecting smiling", "frontalis muscle point too low causing eyebrow drooping", and "total dose of platysma muscle crossing the midline". It prevents serious adverse events such as facial paralysis and facial imbalance from the design stage, significantly improving the safety of injection treatment.

[0023] In this embodiment, the muscle bundle region includes muscle bundle relaxation points, which are located by instructing the patient to pull down the corner of the mouth to expose the muscle bundles, and marking one or more injection points at 0.25 cm intervals along the muscle bundles; the layer of influence of the muscle bundle relaxation point injection is the platysma muscle bundle; the injection dose range is 0 to 20 μI units of botulinum toxin equivalent or equivalent neuromodulator per side.

[0024] In practice, the doctor instructs the patient to pull down the corners of their mouth as far as possible to clearly visualize the bands of the platysma muscle. Markings are then placed every 0.25 cm along the direction of each visible muscle band, typically 6-10 marks per side of the platysma. After marking, the doctor allocates a specific dose for each mark within the range of 0-20 UI, based on the thickness and tension of the muscle bands. For example, 3-4 UI is given for thicker muscle bands, and 1-2 UI for thinner ones. This method of marking at equal intervals along the muscle bands ensures that the medication is evenly distributed across the entire abnormally contracted muscle, avoiding missed spots or concentrated injections that could lead to unnatural facial expressions. The dosage range of 0-20 UI is a commonly used safety window in clinical practice, ensuring effective reduction of muscle band contraction without affecting swallowing or vocalization due to overdose.

[0025] Specifically, the muscle bundle mechanical balance model is a nonlinear viscoelastic finite element model, and its input parameters also include the patient's age, gender, and subcutaneous fat layer thickness. The model outputs the minimum relaxation force vector set required to bring the abnormal contraction force vector of the target muscle bundle to zero through finite element iterative calculation. Then, the minimum relaxation force vector set is converted into the injection depth, injection dose, and injection angle of each injection point.

[0026] First, based on the patient's 3D surface data and subcutaneous fat layer thickness, a multi-layer finite element mesh containing skin, subcutaneous fat, and muscle bundle layers is constructed. Patient age and gender are used as correction coefficients; for example, the elastic modulus of muscle bundles is higher in young women and lower in older men. The model's boundary conditions are set as follows: the abnormal contraction force vector is applied at the origin and insertion points of the target muscle bundle, and the balancing force vector of the antagonistic muscle bundle is applied on the opposite side. Through iterative calculations, the simulated "relaxation force" (i.e., drug blocking effect) is gradually increased until the displacement of the muscle bundle nodes approaches zero. The minimum set of relaxation force vectors output after convergence is then converted into specific injection parameters according to empirical formulas (e.g., 1N approximately corresponds to 3UI of botulinum toxin, and the injection depth is the average value based on the layer where the force is applied). The advantage of this approach is that the calculated dose is precisely the minimum value that is "sufficient and not wasteful," avoiding the over- or under-dosage problems commonly encountered when estimating based on experience.

[0027] The three-dimensional vector lines in the handover display unit 4 are set as follows: the tail of the vector line is positioned at the projection point on the skin surface of the injection point, the direction of the vector line is opposite to the direction of abnormal muscle bundle contraction; the length of the vector line is positively correlated with the injection dose; the correspondence between the line type of the vector line and the drug diffusion boundary level is as follows: the first line type represents a point-like diffusion boundary, the second line type represents a linear diffusion boundary, and the third line type represents a network diffusion boundary.

[0028] In terms of system software, the three-dimensional coordinates of each injection point are first vertically projected from the skin surface onto the patient's two-dimensional photograph or three-dimensional model surface as the starting point of the line. Then, starting from the starting point, a vector line with endpoints is drawn along the direction opposite to the abnormal contraction force vector—for example, if the abnormal contraction direction of the depressor anguli oris muscle is downward and outward, then the vector line points upward and inward. The length mapping uses a piecewise linear function, with 1 UI corresponding to 2mm, 10 UI corresponding to 20mm, and so on. The line type is implemented through OpenGL texture mapping: dotted diffusion boundaries are decorated with dashed lines and dots, linear diffusion boundaries are decorated with ordinary solid lines, and mesh diffusion boundaries are decorated with intersecting grid lines. When nurses or doctors hand over the medication, they can immediately see which direction the arrow points to counteract the abnormal contraction, the longer the line, the greater the dose, and the line type determines whether the medication will spread into dots, strips, or a mesh, greatly reducing misunderstandings that may arise from verbal descriptions and written records.

[0029] Furthermore, the handover and display unit 4 also has a dynamic simulation function: the operator can play a dynamic contraction comparison animation of the patient's muscle bundles before and after injection. The animation is generated based on the abnormal contraction force vector changes before and after injection, and is used to show the expected treatment effect to the patient before injection.

[0030] First, the information acquisition unit 1 records the muscle contraction process when the patient makes standard facial expressions (such as frowning, puffing out cheeks, and pulling down the corners of the mouth), extracting the abnormal contraction force vector at each time point. The software arranges these vectors in time sequence to generate a dynamic contraction animation with arrows. Then, the counter-vector generation unit 3 outputs the relaxation vector after injection. Based on this, the system proportionally reduces the abnormal contraction force vector after injection (for example, reducing it to 30% of its original value) and generates another animation. The operator can click the "play" button on the touchscreen to see the contrast effect of the muscle fibers changing from "strong pulling" to "smooth movement" under the same facial expression. This function is very convincing when demonstrating to patients before injection, allowing them to intuitively understand the changes that the treatment will bring. It also facilitates discussions between doctors and patients about expectations, reducing postoperative dissatisfaction.

[0031] Furthermore, the muscle bundle injection safety rule base in injection logic verification module 5 specifically includes: Rules for avoiding interference with the functional muscle bundles of the depressor anguli oris muscle: The distance between the injection point and the axis of the corner of the mouth should not be less than 5mm, and the injection depth should not exceed the subcutaneous fat layer to avoid affecting the smiling muscle bundles; Rules for avoiding functional muscle bundles of the frontalis muscle: injection points should be located more than 15mm above the eyebrow edge, and the distance between adjacent injection points should not be less than 8mm to avoid eyebrow drooping; The upper limit rule for single-point dosage for the orbicularis oculi muscle is: the single-point injection dose shall not exceed 1 μI of botulinum toxin equivalent; The total dose diffusion boundary rule for the platysma muscle is as follows: the total dose injected into one side of the neck should not exceed 20 μI of botulinum toxin equivalent, and the drug diffusion boundary should not cross the midline of the thyroid cartilage.

[0032] The rule base is stored in the database as four independent records, each containing geometric conditions, numerical thresholds, and the actions triggered. During verification, the injection logic verification module 5 first automatically identifies anatomical reference positions such as the mouth corner axis, the 15mm line above the eyebrow, and the midline of the thyroid cartilage from the patient's 3D model. For each injection point, it calculates its distance to the mouth corner axis, its vertical distance to the eyebrow, and the distance between adjacent points. If a point is only 3mm from the mouth corner axis, a "functional muscle bundle avoidance" violation is triggered, prompting "Too close to the mouth corner axis, may affect smiling." For the orbicularis oculi muscle, the program directly reads the input dose for that point; if it exceeds 1 UI, an alarm is triggered. For the platysma muscle, the doses of all points on the same side are first accumulated and then compared with 20 UI; simultaneously, based on the expected diffusion boundary of each point, it is determined whether the radius of diffusion will cross the midline of the thyroid cartilage. This rule base is equivalent to an experienced expert checking the plan line by line in the background, automatically blocking all common safety traps, eliminating the need for doctors to spend time repeatedly checking.

[0033] The system also includes a dynamic expression capture unit 6, which is connected to the information acquisition unit 1. It is used to capture the contraction displacement of muscle bundles and the skin deformation field in real time when the patient performs preset standard facial expression movements, and transmit the captured dynamic data to the muscle bundle dynamics analysis unit 2 to update the abnormal contraction force vector.

[0034] The patient was asked to perform five standard facial expressions in sequence: frowning, closing their eyes, smiling, puffing out their cheeks, and pulling down the corners of their mouth. The dynamic facial expression capture unit 6 used a set of high-speed cameras (60 frames per second) to record the three-dimensional displacement trajectory of each marker point on the patient's face, while simultaneously recording changes in the strain field on the skin surface. This dynamic data was fed into the muscle fasciculations analysis unit 2 in real time. The algorithm within the unit automatically identified the muscle fasciculations with the largest contraction amplitude and fastest contraction rate as the target abnormal muscle fasciculations. Compared to using only static photographs or single displacement data, this multi-expression dynamic capture can more comprehensively assess the abnormal activity level of muscle fasciculations under different functional states, avoiding missed diagnoses due to inconspicuous muscle fasciculations during a particular expression.

[0035] Specifically, the dynamic expression capture unit 6 includes a high-speed camera array and an electromyography (EMG) signal sensor. The high-speed camera array is used to collect surface deformation during muscle bundle contraction, and the EMG signal sensor is used to collect abnormal electrical activity of the target muscle bundle. The muscle bundle dynamics analysis unit 2 fuses the surface deformation data and EMG signal data to calculate the abnormal contraction force vector.

[0036] In practical equipment configuration, high-speed camera arrays typically consist of 4-6 industrial cameras arranged in a ring to synchronously acquire facial surface images. Digital image correlation algorithms are used to calculate the displacement and strain fields of each muscle bundle region. Electromyography (EMG) signal sensors employ surface-mount electrodes attached to the muscle belly of the target muscle bundle, with a sampling frequency of 1000Hz, used to record the firing frequency of abnormal spontaneous potentials and motor unit action potentials. The fusion algorithm aligns surface deformation (reflecting mechanical contraction) with EMG signals (reflecting neural excitation) in time: when high-frequency cluster discharges occur in the EMG signal, the corresponding surface deformation displacement direction and amplitude become the primary basis for the abnormal contractile force vector. This dual-modal fusion is more accurate than relying solely on images or solely on EMG. For example, some patients have high skin laxity, with inconspicuous surface deformation but active EMG; relying solely on the camera might miss these cases, but adding EMG will prevent them from being missed.

[0037] Furthermore, the risk warning sign adopts one or more of the following forms: overlaying a red flashing border around the relaxed vector graphic of the illegal injection point, changing the color of the three-dimensional vector line of the point to a warning color, or popping up a correction guidance window at the edge of the handover display unit 4, which displays the specific safety rule entry violated and the recommended adjustment direction and adjustment distance of the injection point.

[0038] The handover and display unit 4 receives violation signals from the verification module through an event listening mechanism. The flashing red border uses a semi-transparent red ring, changing its transparency twice per second and always following the vector line of the violation point. Changing the color simply replaces the original gray or blue vector line with a bright red one. The correction guidance window displays a text box in a fixed area on the right side of the screen, such as "Violation: The injection point of the depressor anguli oris muscle is only 3mm from the corner of the mouth axis (must be ≥5mm), it is recommended to move it upwards and outwards by 2mm," along with a miniature diagram showing the positional relationship between the current point and the suggested point. These three warning methods can be used individually or simultaneously. This multi-level reminder method is both eye-catching and practical; doctors don't need to painstakingly search for violation details, the system directly tells you how to correct it, and after the correction is made and the verification passes, the warning automatically disappears.

[0039] This application also provides an auxiliary method for improving muscle relaxation injection query handover, applied to the above-mentioned system, including the following steps: Information acquisition steps: Acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Dynamic analysis steps: Based on the three-dimensional surface data and muscle bundle contraction displacement data, calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle, and the muscle bundle relaxation score. Counteracting vector generation steps: Input the abnormal contraction force vector and the balancing force vector into the muscle bundle mechanical balance model to simulate the counteracting mechanical conditions required to counteract the abnormal contraction, and generate relaxation vectors for multiple injection points. Each relaxation vector includes the injection depth, injection dose, injection angle, and expected drug diffusion boundary. Handover and demonstration steps: Overlay relaxation vector graphics of each injection point onto the patient's three-dimensional surface model or actual photograph. The graphics are three-dimensional vector lines. The direction of the vector lines represents the direction of blocking abnormal muscle bundle contraction, the length of the vector lines represents the relative size of the injection dose, and the line shape of the vector lines represents the drug diffusion boundary level. Logical verification steps: Based on the pre-stored muscle bundle injection safety rule library, automatically verify whether the relaxation vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

[0040] The above method can be integrated into a medical tablet computer with a touchscreen, along with a handheld 3D scanner and electromyography (EMG) patches. The general procedure is as follows: First, the scanner quickly acquires a 3D model of the patient's face, allowing the patient to make several facial expressions while simultaneously recording EMG. The software on the tablet completes the dynamic analysis within 5 seconds and outputs abnormal force vectors. Next, clicking "Generate Counteracting Vectors" calculates all injection points within 2 seconds and marks them on the image with colored vector lines. The doctor can manually fine-tune the line length or direction, and the system automatically recalibrates after each adjustment. Finally, the plan is sent to the electronic injection pen via Bluetooth, and the nurse operates directly according to the vector lines on the screen. The entire process is reduced from the traditional 10-15 minutes manual procedure to 3 minutes, and each step has quantifiable data and visual guidance, significantly lowering the entry barrier for beginners and facilitating medical quality management.

[0041] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A system for assisting in improving muscle relaxation through injection inquiry and transfer, characterized in that, include: Information acquisition unit (1): used to acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Muscle bundle dynamics analysis unit (2): connected to the information acquisition unit (1), used to calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle and the muscle bundle relaxation score based on the three-dimensional surface data and muscle bundle contraction displacement data, wherein the abnormal contraction force vector includes at least the abnormal traction direction and the abnormal traction amplitude. The antagonistic vector generation unit (3) is connected to the muscle bundle dynamics analysis unit (2). It has a muscle bundle mechanical balance model inside. The model takes the abnormal contraction force vector and the balance force vector of the antagonistic muscle bundle as input, simulates the antagonistic mechanical conditions required to counteract the abnormal contraction force vector so that the muscle bundle can restore mechanical balance, and then generates relaxation vectors for multiple injection points. Each relaxation vector includes injection depth, injection dose, injection angle and expected drug diffusion boundary. The handover display unit (4) is used to overlay and display the relaxation vector graphics of each injection point on the three-dimensional surface model or real photograph of the patient. The graphics are three-dimensional vector lines. The starting point of the vector line represents the injection point. The direction of the vector line represents the blocking direction of abnormal muscle bundle contraction. The length of the vector line represents the relative size of the injection dose. The line shape of the vector line represents the expected drug diffusion boundary level. Injection logic verification module (5): It is connected to the adversarial vector generation unit (3) and the handover display unit (4) respectively. It stores a muscle bundle injection safety rule library. The rule library includes at least functional muscle bundle avoidance rules, single-point dose upper limit rules and total dose diffusion boundary rules. The module automatically verifies whether the relaxation vector of each injection point conforms to the corresponding rule in the rule library, and generates a risk warning mark on the handover display unit (4) when a violation is found.

2. The system for assisting in improving muscle relaxation injection query and transfer according to claim 1, characterized in that, The muscle bundle region includes muscle bundle relaxation points, which are located by instructing the patient to pull down the corner of the mouth to expose the muscle bundles, and marking one or more injection points at 0.25 cm intervals along the muscle bundles; the layer of influence of the injection at the muscle bundle relaxation points is the platysma muscle bundle; the injection dosage range is 0 to 20 μI units of botulinum toxin equivalent or equivalent neuromodulator per side.

3. The injection query and transfer system for assisting in improving muscle relaxation according to claim 1, characterized in that, The muscle bundle mechanical balance model is a nonlinear viscoelastic finite element model. Its input parameters also include the patient's age, gender, and subcutaneous fat layer thickness. The model outputs the minimum set of relaxation force vectors required to bring the abnormal contraction force vector of the target muscle bundle to zero through finite element iterative calculation. Then, the minimum set of relaxation force vectors is converted into the injection depth, injection dose, and injection angle of each injection point.

4. The injection query and transfer system for assisting in improving muscle relaxation according to claim 1, characterized in that, The three-dimensional vector lines in the handover display unit (4) are set as follows: the tail of the vector line is positioned at the projection point on the skin surface of the injection point, the direction of the vector line is opposite to the direction of abnormal muscle bundle contraction; the length of the vector line is positively correlated with the injection dose; the correspondence between the line type of the vector line and the drug diffusion boundary level is as follows: the first line type represents the point diffusion boundary, the second line type represents the line diffusion boundary, and the third line type represents the network diffusion boundary.

5. The injection query and transfer system for assisting in improving muscle relaxation according to claim 1, characterized in that, The handover and display unit (4) also has a dynamic simulation function: the operator can play a dynamic contraction comparison animation of the patient's muscle bundles before and after injection. The animation is generated based on the abnormal contraction force vector changes before and after injection and is used to show the expected treatment effect to the patient before injection.

6. The injection query and transfer system for assisting in improving muscle relaxation according to claim 1, characterized in that, The muscle bundle injection safety rule base in the injection logic verification module (5) specifically includes: Rules for avoiding interference with the functional muscle bundles of the depressor anguli oris muscle: The distance between the injection point and the axis of the corner of the mouth should not be less than 5mm, and the injection depth should not exceed the subcutaneous fat layer to avoid affecting the smiling muscle bundles; Rules for avoiding functional muscle bundles of the frontalis muscle: injection points should be located more than 15mm above the eyebrow edge, and the distance between adjacent injection points should not be less than 8mm to avoid eyebrow drooping; The upper limit rule for single-point dosage for the orbicularis oculi muscle is: the single-point injection dose shall not exceed 1 μI of botulinum toxin equivalent; The total dose diffusion boundary rule for the platysma muscle is as follows: the total dose injected into one side of the neck should not exceed 20 μI of botulinum toxin equivalent, and the drug diffusion boundary should not cross the midline of the thyroid cartilage.

7. The system for assisting in improving muscle relaxation injection query and handover according to claim 1, characterized in that, It also includes a dynamic expression capture unit (6), which is connected to the information acquisition unit (1) and is used to capture the contraction displacement of muscle bundles and the skin deformation field in real time when the patient performs preset standard facial expression movements, and transmit the captured dynamic data to the muscle bundle dynamics analysis unit (2) to update the abnormal contraction force vector.

8. The injection query and handover system for assisting in improving muscle relaxation according to claim 7, characterized in that, The dynamic facial expression capture unit (6) includes a high-speed camera array and an electromyography (EMG) sensor. The high-speed camera array is used to collect surface deformation during muscle bundle contraction, and the EMG sensor is used to collect abnormal electrical activity of the target muscle bundle. The muscle bundle dynamics analysis unit (2) integrates surface deformation data and electromyographic signal data to calculate the abnormal contraction force vector.

9. The injection query and handover system for assisting in improving muscle relaxation according to claim 1, characterized in that, The risk warning sign takes one or more of the following forms: superimposing a red flashing border around the relaxed vector graphic of the illegal injection point, changing the color of the three-dimensional vector line of the point to a warning color, or popping up a correction guidance window at the edge of the handover display unit (4), wherein the correction guidance window displays the specific violated safety rule entries and the recommended injection point adjustment direction and adjustment distance.

10. A method for assisting in improving muscle relaxation through injection inquiry and transfer, applied to the system according to any one of claims 1 to 9, characterized in that, Includes the following steps: Information acquisition steps: Acquire three-dimensional surface data of at least one muscle bundle region of the patient and muscle bundle contraction displacement data under dynamic facial expressions; Dynamic analysis steps: Based on the three-dimensional surface data and muscle bundle contraction displacement data, calculate the abnormal contraction force vector of the target muscle bundle, the balance force vector of the antagonistic muscle bundle, and the muscle bundle relaxation score; Counteracting vector generation step: Input the abnormal contraction force vector and the balance force vector into the muscle bundle mechanical balance model to simulate the counteracting mechanical conditions required to counteract the abnormal contraction, and generate relaxation vectors for multiple injection points. Each relaxation vector includes the injection depth, injection dose, injection angle, and expected drug diffusion boundary. Handover and display steps: On the three-dimensional surface model or real photograph of the patient, overlay and display the relaxation vector graphics of each injection point. The graphics are three-dimensional vector lines. The direction of the vector lines represents the direction of blocking abnormal muscle bundle contraction. The length of the vector lines represents the relative size of the injection dose. The line shape of the vector lines represents the drug diffusion boundary level. Logical verification steps: Based on the pre-stored muscle bundle injection safety rule library, automatically verify whether the relaxation vector of each injection point meets the rules. If the verification passes, the injection plan is confirmed. If a violation is found, a risk warning sign is generated in the handover and display step.

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