Method for dynamic capture of maxillofacial muscle function for patients with swallowing disorders

By acquiring patients' physical data and evaluating them using deep learning models, and combining the sequence and time intervals of muscle movement events, this approach addresses the issues of neglecting individual differences and coordination in existing technologies. It enables dynamic and accurate assessment of maxillofacial muscle function in patients with dysphagia, improving the accuracy and clinical reference value of the assessment results.

CN121512462BActive Publication Date: 2026-04-14ZHEJIANG CHINESE MEDICAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing technologies fail to effectively consider individual physiological differences, ignore muscle coordination and timing, and lack assessment of functional endurance and stability when assessing swallowing dysfunction, resulting in insufficient accuracy and individual suitability of assessment results.

Method used

By acquiring patients' physical data, including age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, displacement magnitude and rate, and combining this data with a deep learning model, the degree of weakness is assessed. The sequence and time interval of muscle movement events are analyzed to comprehensively evaluate swallowing ability performance, including functional endurance decline in multiple swallowing tests.

Benefits of technology

It enables a more comprehensive and dynamic assessment of the function of the maxillofacial muscles, improves the accuracy of the evaluation results and their clinical reference value, and can more accurately identify specific aspects of swallowing disorders and the functional stability of patients.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of maxillofacial muscle group function evaluation, and particularly relates to a maxillofacial muscle group function dynamic capturing method for patients with swallowing disorders, which comprises the following steps: acquiring a rate slow performance based on age, a degree of weakness obtained from body data evaluation, and a displacement rate of a monitoring point; acquiring a displacement contraction performance based on a hyoid bone volume, a spacing, and a displacement size of the monitoring point; acquiring a muscle movement sequence performance based on an actual movement sequence number of each monitoring point corresponding to a muscle movement event and an actual time interval of adjacent muscle movement events; acquiring a single swallowing monitoring point overall movement performance based on the rate slow performance and the displacement contraction performance; acquiring a swallowing ability performance based on the single swallowing monitoring point overall movement performance and the muscle movement sequence performance, and further acquiring a maxillofacial muscle group function performance of the patient. By using the present application, precise evaluation of the maxillofacial muscle group function of the patient can be achieved.
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Description

Technical Field

[0001] This invention relates to the field of maxillofacial muscle group function assessment technology, specifically to a method for dynamic capture of maxillofacial muscle group function in patients with swallowing disorders. Background Technology

[0002] Accurate assessment of swallowing dysfunction is crucial for the diagnosis and rehabilitation of related diseases. Currently, technologies exist to assess function by capturing and analyzing kinematic data (such as displacement rate and magnitude) at multiple pre-defined monitoring points on the maxillofacial muscles. This method, by comparing the collected data with standard reference values ​​from healthy individuals, can achieve a degree of quantitative assessment of function, providing a certain objective basis for clinical diagnosis.

[0003] However, existing technical solutions have significant shortcomings, resulting in limited accuracy and low reference value for assessment results. The core problem lies in the use of a "one-size-fits-all" static evaluation standard, ignoring the physiological differences among individual patients, mainly manifested in:

[0004] First, the impact of individual physiological differences on motor performance is not considered: different patients have inherent differences in their baseline muscle movement ability due to differences in age, basic physical condition (degree of weakness), and other physical conditions. Similarly, individual differences in deep anatomical structures such as the hyoid bone (e.g., volume, position) directly affect the range of motion during swallowing. Current methods simply compare the absolute differences between displacement rate and size and standard values, failing to incorporate these individualized factors as "correction coefficients" into the assessment system, which may lead to misjudgments of function in patients with weak constitutions or special structural features.

[0005] Secondly, it neglects crucial information regarding muscle coordination and timing: swallowing is a multi-muscle, precisely coordinated, and sequential process. Existing methods only focus on the independent displacement "amount" at each monitoring point, failing to analyze whether the "sequence" and "time intervals" of different muscle movement events conform to physiological laws. This neglect of the coordinated working pattern of muscle groups makes it difficult for existing technologies to identify functional impairments caused by coordination disorders.

[0006] Finally, there is a lack of assessment of functional endurance and stability: the performance of a single swallow cannot fully represent the patient's sustained functional status. Existing methods are usually based on the analysis of a single swallow, without considering whether muscle groups are fatigued or deteriorating after multiple consecutive swallows. Therefore, they cannot assess the patient's functional endurance and stability, which are important indicators for assessing rehabilitation effects and disease progression.

[0007] In summary, existing methods for assessing maxillofacial muscle function based on multi-monitoring point displacement analysis have limitations in terms of accuracy, individual suitability, and clinical reference value. These limitations stem from the lack of individual physiological parameter correction, spatiotemporal synergistic analysis, and endurance dimension testing. Summary of the Invention

[0008] To address the technical problem of insufficient accuracy in assessing the function of maxillofacial muscles in existing technologies, this invention aims to provide a dynamic capture method for maxillofacial muscle function in patients with swallowing disorders. The specific technical solution adopted is as follows:

[0009] Acquire the patient's physical data, including: age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, displacement magnitude and displacement rate of each preset monitoring point in the maxillofacial region during swallowing;

[0010] Based on the age, the degree of frailty assessed from the physical data, and the slow rate of displacement acquisition;

[0011] The displacement contraction behavior is obtained based on the hyoid bone volume, the spacing, and the magnitude of the displacement.

[0012] The muscle movement sequence is obtained based on the actual movement sequence number of the muscle movement event corresponding to each monitoring point and the actual time interval between adjacent muscle movement events.

[0013] The overall movement performance of a single swallowing monitoring point is obtained based on the slow rate performance and the displacement contraction performance.

[0014] Swallowing ability is obtained based on the overall movement performance of the single swallowing monitoring point and the muscle movement sequence performance, thereby obtaining the patient's maxillofacial muscle group function performance.

[0015] Furthermore, the process of obtaining the degree of weakness includes:

[0016] A preset number of body parameters from the body data are input into a preset deep learning detection model for weakness, and the deep learning detection model for weakness outputs the degree of weakness used to assess the patient's physical condition.

[0017] Furthermore, the process of obtaining the slow rate performance includes:

[0018] The sum of the differences between the normal displacement rate of any monitoring point and the normal displacement rates of the other monitoring points is taken as the total displacement rate deviation value.

[0019] The difference between the preset maximum degree of weakness and the degree of weakness is obtained as the weakness deviation value;

[0020] The degree of influence of the movement rate of any monitoring point is calculated based on the total displacement rate deviation value, the weak deviation value, and the age.

[0021] The slow rate manifestation is obtained based on the degree of influence of the movement rate, the normal displacement rate of any monitoring point, and the patient's measured displacement rate.

[0022] Furthermore, the process of obtaining the degree of influence of the movement rate includes:

[0023] The slow rate is expressed as a function of the total displacement rate deviation, the weak deviation, and the age, with its value being positively correlated with the age and the total displacement rate deviation, and negatively correlated with the weak deviation.

[0024] Furthermore, the process of obtaining the displacement contraction performance includes:

[0025] The difference between the stated spacing and the preset minimum spacing is taken as the spacing difference;

[0026] The degree of influence of the hyoid bone performance is obtained based on the aforementioned spacing difference and the hyoid bone volume.

[0027] The displacement contraction performance is obtained based on the degree of influence of the hyoid bone, the displacement magnitude at any monitoring point, and the standard reference displacement value.

[0028] Furthermore, the process of obtaining the degree of influence of the hyoid bone manifestation includes:

[0029] The degree of influence of the hyoid bone manifestation is a function of the distance difference and the volume of the hyoid bone, and its value is negatively correlated with both the distance difference and the volume of the hyoid bone.

[0030] Furthermore, the process of obtaining the muscle movement sequence includes:

[0031] For each monitoring point, the absolute value of the difference between the actual movement sequence number of the muscle movement event and the preset reference standard movement sequence number is obtained, and the total movement sequence number deviation value is obtained by summing the absolute values ​​of the differences of all monitoring points.

[0032] For each monitoring point, the absolute value of the difference between the actual time interval of adjacent muscle movement events and the preset reference standard average time interval is obtained, and the total time interval deviation value is obtained by summing the absolute values ​​of the differences of all monitoring points.

[0033] The muscle movement sequence is obtained based on the total movement sequence deviation value and the total time interval deviation value.

[0034] Furthermore, the process of acquiring the overall movement performance of the single swallowing monitoring point includes:

[0035] For each monitoring point, its single swallowing monitoring point movement performance is obtained. The single swallowing monitoring point movement performance is a function of the slow rate performance and the displacement contraction performance, and its value is negatively correlated with both the slow rate performance and the displacement contraction performance.

[0036] The overall movement of the single swallowing monitoring point is obtained by weighting and summing the movement performance of each monitoring point with the corresponding preset weight.

[0037] Furthermore, the process of acquiring the swallowing ability performance includes:

[0038] The ratio between the overall movement performance of the single swallowing monitoring point and the preset maximum value of the overall movement performance of the single swallowing monitoring point is obtained as the overall movement performance ratio of the single swallowing monitoring point.

[0039] The difference between the maximum value of the preset muscle movement sequence and the muscle movement sequence is obtained as the muscle movement sequence difference.

[0040] The swallowing ability is expressed as a function of the ratio of the overall movement performance at the single swallowing monitoring point and the difference in the muscle movement sequence. Its value is positively correlated with the ratio of the overall movement performance at the single swallowing monitoring point and negatively correlated with the difference in the muscle movement sequence.

[0041] Furthermore, the process of obtaining the functional performance of the maxillofacial muscle groups includes:

[0042] Obtain the patient's swallowing ability performance in a preset number of swallowing tests;

[0043] The difference between the swallowing ability performance corresponding to the first swallowing test and the swallowing ability performance corresponding to the last swallowing test is obtained as the difference in swallowing ability performance.

[0044] The maxillofacial muscle function performance is obtained based on the average value of the swallowing ability performance, the difference in the swallowing ability performance, and the swallowing ability performance corresponding to the last swallowing test.

[0045] The present invention has the following beneficial effects:

[0046] First, the patient's physical data is acquired, including: age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, and the magnitude and rate of displacement of various preset monitoring points in the maxillofacial region during swallowing. This physical data forms the basis for subsequent analysis of the patient's maxillofacial muscle function.

[0047] Secondly, a slow swallowing rate is obtained based on the age, the degree of frailty assessed from the physical data, and the displacement rate. This slow swallowing rate characterizes the patient's swallowing speed; a higher value indicates a slower swallowing speed.

[0048] The displacement contraction performance is obtained based on the hyoid bone volume, the spacing, and the magnitude of the displacement. This displacement contraction performance characterizes the magnitude of the patient's swallowing displacement; a higher value indicates poorer muscle contraction function.

[0049] The muscle movement sequence is obtained based on the actual movement sequence number of the muscle movement events corresponding to each monitoring point and the actual time interval between adjacent muscle movement events. The muscle movement sequence is used to characterize the rationality of the muscle movement sequence during swallowing; the larger the value, the closer the patient's swallowing sequence is to normal.

[0050] The overall movement performance of a single swallowing monitoring point is obtained based on the slow rate performance and the displacement contraction performance. The higher the value of the overall movement performance of a single swallowing monitoring point, the better the patient's swallowing movement performance.

[0051] Swallowing ability is assessed based on the overall movement performance at each single swallowing monitoring point and the sequence of muscle movement, thereby obtaining the patient's maxillofacial muscle function performance. This maxillofacial muscle function performance characterizes the patient's overall swallowing performance across multiple swallowing tests; a lower value indicates a stronger overall swallowing ability.

[0052] In summary, this invention achieves a more comprehensive and dynamic assessment of the maxillofacial muscle function of patients by comprehensively evaluating multiple indicators such as swallowing speed, muscle contraction function, and swallowing sequence in a single swallowing test, and combining this with functional endurance decline analysis of multiple swallowing tests. This significantly improves the accuracy of the evaluation results and their clinical reference value. Attached Figure Description

[0053] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is a flowchart of a method for dynamically capturing the function of maxillofacial muscles in patients with dysphagia, provided in the first embodiment of the present invention.

[0055] Figure 2 A flowchart illustrating the process of acquiring the slow rate performance provided in the second embodiment of the present invention;

[0056] Figure 3 A flowchart illustrating the process of obtaining the displacement contraction performance provided in the third embodiment of the present invention;

[0057] Figure 4 A flowchart illustrating the process of obtaining the muscle movement sequence representation provided in the fourth embodiment of the present invention;

[0058] Figure 5 A flowchart illustrating the process of acquiring the overall movement performance of a single swallowing monitoring point according to the fifth embodiment of the present invention;

[0059] Figure 6 A flowchart illustrating the process of acquiring swallowing ability performance as provided in the sixth embodiment of the present invention;

[0060] Figure 7 This is a flowchart illustrating the process of obtaining the functional performance of the maxillofacial muscles according to the seventh embodiment of the present invention. Detailed Implementation

[0061] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the dynamic capture method for maxillofacial muscle function in patients with swallowing disorders proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0063] The specific scheme of the dynamic capture method for maxillofacial muscle function in patients with swallowing disorders provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0064] Please see Figure 1 The diagram illustrates a flowchart of a method for dynamically capturing the function of maxillofacial muscles in patients with dysphagia, provided in the first embodiment of the present invention. The method includes:

[0065] S101. Obtain the patient's physical data, including: age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, displacement magnitude and displacement rate of each preset monitoring point in the maxillofacial region during swallowing.

[0066] The body data may also include, but is not limited to: grip strength, walking speed, activity level, etc.

[0067] The process of obtaining the hyoid bone volume includes: performing a thin-slice scan of the patient's head and neck using a medical spiral CT scanner to obtain raw DICOM data containing the hyoid bone and oral cavity structures. Subsequently, using medical image processing software such as Mimics and 3D Slicer, a three-dimensional model of the hyoid bone is reconstructed through algorithms such as threshold segmentation and region growing, thereby enabling accurate measurement of its overall volume.

[0068] The process of obtaining the distance between the hyoid bone body and the oral cavity includes: after the above model is reconstructed, the geometric center point of the patient's hyoid bone body can be defined in the software, and the three-dimensional spatial straight-line distance from this point to a specific anatomical landmark in the oral cavity (such as the mandibular notch or the alveolar ridge of the incisors) can be measured.

[0069] The processes for obtaining the hyoid bone volume and the distance between the hyoid bone body and the oral cavity are existing technologies and will not be described in detail here.

[0070] A series of key functional monitoring points were pre-designed on the patient's maxillofacial region and neck, including the midpoint between the upper and lower lips for assessing lip closure function, the bilateral corners of the mouth reflecting buccinator contraction force, the mental protuberance representing mandibular movement, surface markers on the hyoid bone indicating the initiation of the pharyngeal phase, and the anterior point of the thyroid cartilage reflecting laryngeal elevation. These monitoring points together constitute a complete kinematic observation network covering the oral preparation phase to the pharyngeal phase, and their movement trajectories directly correspond to the functional status of core muscle groups such as the orbicularis oris, buccinator, and geniohyoid muscles.

[0071] A high-precision optical motion capture system is employed to acquire the displacement magnitude and displacement rate of each monitoring point. This system consists of multiple high-speed infrared cameras and acquires data by tracking the three-dimensional coordinate changes of reflective markers. Specifically, this includes: precisely attaching miniature reflective markers to each monitoring point; recording the three-dimensional coordinates of all markers throughout the swallowing process at a sampling rate of at least 100 Hz; reconstructing the motion trajectory of each marker using specialized software based on these three-dimensional coordinates; obtaining the displacement magnitude by calculating and integrating the Euclidean distance between marker coordinates in adjacent frames; and directly obtaining the displacement rate by differentiating the displacement data with respect to time.

[0072] By extracting key event points from the motion trajectories of each monitoring point, such as the starting point of movement, the point of reaching peak velocity, and the point of reaching maximum displacement, the activation time sequence of each monitoring point is accurately identified. Taking the normal swallowing sequence as an example, its typical order is lip closure, hyoid bone elevation, and larynx elevation. The analysis system automatically calculates the time interval parameters between key event points, such as the delay time from maximum lip closure to the start of hyoid bone elevation, and the time difference between the hyoid bone reaching peak velocity and the larynx reaching peak velocity. These timing parameters provide objective quantitative evidence for judging neuromuscular control coordination, identifying swallowing initiation delays or muscle group dyssynergy, and help to accurately locate the specific aspects of swallowing dysfunction.

[0073] S102. Based on the age, the degree of weakness assessed from the physical data, and the slow performance of the displacement rate acquisition rate.

[0074] Swallowing rates vary among patients due to differences in age and physical condition (such as degree of frailty). Using a uniform standard to judge the displacement rate at each monitoring point would lead to inaccurate assessment results. Therefore, the patient's age and degree of frailty should be used as references to individually adjust the displacement rate performance at each monitoring point.

[0075] Specifically, the process of obtaining the degree of weakness includes:

[0076] A preset number of body parameters from the body data are input into a preset deep learning detection model for weakness, and the deep learning detection model for weakness outputs the degree of weakness used to assess the patient's physical condition.

[0077] The aforementioned deep learning model for detecting frailty is an existing technology. Its construction process is briefly described below: First, the system collects multi-dimensional time-series physical examination data of patients at different time periods, including grip strength, walking speed, and activity level, and uses corresponding clinically assessed frailty level labels as tags. Next, data cleaning, time alignment, and standardization are performed to organize the data into a time-series matrix format suitable for input to a convolutional neural network. Then, a CNN model (which can use a one-dimensional convolutional or multi-branch structure) is designed and trained. Through convolutional layers, it automatically extracts local patterns and deep features of different physical indicators changing over time, ultimately outputting a classification of the patient's frailty level or a continuous frailty index. After training, the model can perform forward propagation on newly input patient time-series examination data to achieve automatic identification and quantitative assessment of frailty levels. It should be noted that the clinically assessed frailty level labels corresponding to the physical examination data in the training set are labels given manually by doctors to characterize the degree of frailty. All physical parameters input to the deep learning model for detecting frailty can be obtained from the physical data.

[0078] The process of obtaining the slow rate performance will be described in detail in the second embodiment, and will not be repeated here.

[0079] The smaller the value for the slow rate, the better the rate performance at that monitoring point. A smaller value indicates that, after eliminating the influence of basic physiological differences such as age and degree of weakness, the patient's muscle movement rate related to swallowing function at that location is closer to the ideal standard, meaning better neuromuscular control efficiency and contractile explosive force. Conversely, a larger value suggests the presence of significant, swallowing-related specific rate disorders.

[0080] S103. Obtain the displacement contraction performance based on the hyoid bone volume, the spacing, and the displacement magnitude.

[0081] Individual differences exist in the size and spatial position of the hyoid bone among patients, resulting in varying displacement amplitudes at different monitoring points during normal swallowing. To accurately assess the degree of displacement in different patients, adaptive correction based on their individual hyoid bone anatomical characteristics is necessary.

[0082] The process of obtaining the displacement contraction behavior will be described in detail in the third embodiment, and will not be repeated here.

[0083] The smaller the value of the displacement contraction performance, the better the displacement performance at that monitoring point. A smaller value indicates that, after eliminating the influence of anatomical differences such as the position and size of the hyoid bone, the patient's muscle movement amplitude related to swallowing function at that location is closer to the ideal standard, meaning better muscle contraction efficiency and force output. Conversely, a larger value suggests a significant, swallowing-related specific movement amplitude disorder.

[0084] S104. Obtain the muscle movement sequence based on the actual movement sequence number of the muscle movement event corresponding to each monitoring point and the actual time interval between adjacent muscle movement events.

[0085] Some patients with dysphagia exhibit symptoms not only of abnormal muscle movement rate and displacement, but also of disordered movement sequence among different muscle groups. Therefore, a comprehensive assessment of a patient's swallowing ability requires a thorough analysis of the temporal relationship of muscle movements at various monitoring points and the reasonableness of their intervals.

[0086] The process of obtaining the muscle movement sequence will be described in detail in the fourth embodiment, and will not be repeated here.

[0087] The higher the value of the muscle movement sequence indicator, the better the neuromuscular coordination during swallowing. A higher value indicates a more correct muscle activation sequence at each monitoring point, more precise time intervals between muscle movements, and higher overall temporal coordination. Conversely, a lower value suggests disordered muscle activation sequence or dyssynchrony of movement intervals, indicating significant temporal coordination impairment.

[0088] S105. Based on the slow rate performance and the displacement contraction performance, obtain the overall movement performance of the single swallowing monitoring point.

[0089] The overall movement performance of the single swallowing monitoring point is a weighted evaluation index used to characterize the comprehensive effectiveness of the patient's maxillofacial muscle group motor function (the slow rate performance and the displacement contraction performance) during a single swallow.

[0090] The process of acquiring the overall movement performance of the single swallowing monitoring point will be described in detail in the fifth embodiment, and will not be repeated here.

[0091] The higher the overall movement performance value of the single swallowing monitoring point, the better the comprehensive function of the single swallowing movement. A higher value indicates that the key facial muscle groups performed well in terms of both speed and amplitude during the swallowing process. Conversely, a lower value suggests significant deficiencies in speed, amplitude, or coordination of these two aspects, resulting in poor overall motor efficiency.

[0092] S106. Based on the overall movement performance of the single swallowing monitoring point and the muscle movement sequence performance, swallowing ability performance is obtained, and then the maxillofacial muscle group function performance of the patient is obtained.

[0093] The swallowing ability performance is a comprehensive indicator used to characterize a patient's ability to combine motor function effectiveness (overall movement performance of the single swallow monitoring point) with neuromuscular coordination (muscle movement sequence performance) in a single swallow.

[0094] The process of obtaining the swallowing ability performance will be described in detail in the sixth embodiment, and will not be repeated here.

[0095] The higher the value of the swallowing ability assessment, the higher the overall evaluation of a single swallowing function. A higher value indicates that the patient not only demonstrated excellent motor efficiency (strength and speed) but also precise neuromuscular coordination (sequence and rhythm) during that swallow, with overall function approaching an ideal state. Conversely, a lower value suggests significant deficiencies in motor efficiency, coordination, or both.

[0096] When assessing the function of a patient's maxillofacial muscles, in addition to analyzing the swallowing ability performance under the initial swallowing test, the trend of functional decline during continuous swallowing should also be examined. This assessment of swallowing endurance and stability helps to identify patients with mild swallowing dysfunction earlier and more accurately.

[0097] The aforementioned maxillofacial muscle group functional performance is a composite index used to characterize the "functional endurance and stability" of the patient's maxillofacial muscles during continuous swallowing.

[0098] The process of obtaining the functional performance of the maxillofacial muscle groups will be described in detail in the seventh embodiment, and will not be repeated here.

[0099] The higher the numerical value of the maxillofacial muscle function, the more severe the functional decline of the patient during continuous swallowing. A higher value indicates a lower average swallowing ability, a greater decline in swallowing ability during the test, and a poorer functional endpoint after fatigue. This comprehensively reflects the patient's insufficient endurance, low functional stability, and susceptibility to fatigue of the maxillofacial muscles.

[0100] Figure 2The flowchart illustrates the process for acquiring slow rate performance according to a second embodiment of the present invention. The process for acquiring slow rate performance includes:

[0101] S201. Obtain the sum of the differences between the normal displacement rate of any monitoring point and the normal displacement rates of the other monitoring points as the total displacement rate deviation value.

[0102] The total displacement rate deviation can be expressed by the formula: , wherein Indicates the first The normal displacement rate of each monitoring point, the In addition to the first The normal displacement rate of any other monitoring point besides the n monitoring points, where n represents the number of monitoring points.

[0103] S202. Obtain the difference between the preset maximum degree of weakness and the degree of weakness as the weakness deviation value.

[0104] The weak deviation value can be expressed as: , wherein This indicates the maximum degree of weakness, the Indicates the patient The degree of weakness described.

[0105] S203. Calculate the degree of influence of the movement rate of any monitoring point based on the total displacement rate deviation value, the weak deviation value, and the age.

[0106] The process of obtaining the degree of influence of the movement rate includes:

[0107] The slow rate is expressed as a function of the total displacement rate deviation, the weak deviation, and the age, with its value being positively correlated with the age and the total displacement rate deviation, and negatively correlated with the weak deviation.

[0108] Specifically, the degree of influence of the movement speed can be expressed by the formula:

[0109] ;

[0110] Among them, the Indicates the age, the Indicates the patient In the The degree of influence of the movement rate of each monitoring point.

[0111] It should be noted that, in order to ensure the above It is a dimensionless value, and the calculation parameters in the formula that have not been normalized are as described. and the Pre-normalization processing is performed, the This represents the normalization function, preferably the maximum-minimum normalization function.

[0112] In addition, in order to prevent the aforementioned The case of equal to 0 occurs in the above. When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0113] S204. The slow rate performance is obtained based on the degree of influence of the movement rate, the normal displacement rate of any monitoring point, and the measured displacement rate of the patient.

[0114] The slow rate can be obtained from the following formula:

[0115] ;

[0116] ;

[0117] Among them, the For the The normalized value, the Indicates the patient In the The measured displacement rate at each monitoring point, the Indicates the patient In the The relative displacement rate of each monitoring point, the Indicates the patient In the The slow rate observed at each monitoring point, the Indicates the first The normal displacement rate of each monitoring point is a preset value.

[0118] When the When it gets bigger, the patient With the same swallowing ability as other people, their first The smaller the displacement rate at each monitoring point compared to the displacement rates of others, the more accurately the difference between this value and the standard displacement rate (normal displacement rate) obtained by a professional doctor should be reflected in terms of the patient's actual swallowing ability. With the The movement rate of each monitoring point is adaptively increased.

[0119] Figure 3The flowchart illustrates the process of obtaining the displacement contraction behavior according to the third embodiment of the present invention. The process of obtaining the displacement contraction behavior includes:

[0120] S301. Obtain the difference between the spacing and the preset minimum spacing as the spacing difference.

[0121] The spacing difference can be expressed as: , wherein Indicates the patient The distance between the hyoid bone and the oral cavity, the This indicates the minimum spacing.

[0122] S302. Obtain the degree of influence of the hyoid bone performance based on the distance difference and the volume of the hyoid bone.

[0123] The process of obtaining the degree of influence of the hyoid bone manifestation includes:

[0124] The degree of influence of the hyoid bone manifestation is a function of the distance difference and the volume of the hyoid bone, and its value is negatively correlated with both the distance difference and the volume of the hyoid bone.

[0125] The degree of influence of the hyoid bone manifestation can be expressed by the following formula:

[0126] ;

[0127] Among them, the Indicates the patient The volume of the hyoid bone, the Indicates the patient The degree of influence of the hyoid bone manifestations.

[0128] It should be noted that, in order to ensure the above It is a dimensionless value, and the calculation parameters in the formula that have not been normalized are as described. and the Normalization was performed beforehand.

[0129] S303. The displacement contraction performance is obtained based on the degree of influence of the hyoid bone, the displacement magnitude of any monitoring point, and the standard reference displacement value.

[0130] The displacement contraction can be obtained from the following formula:

[0131] ;

[0132] ;

[0133] Among them, the For the The normalized value, the Indicates the patient In the The displacement magnitude of each monitoring point, the Indicates the patient In the The relative displacement of each monitoring point, the Indicates the first The standard reference displacement value of each monitoring point, the Indicates the patient In the The displacement contraction behavior at each monitoring point.

[0134] patient Hyoid bone volume The smaller the patient's hyoid bone, the shorter the absolute distance of upward displacement required to complete laryngeal protection. As a small-sized hyoid bone, its lever arm is short, its muscle attachment area is small, and its maximum displacement potential is small. Therefore, when its swallowing ability is the same as others, the displacement distance obtained is smaller than that of others. In order to make the difference between its displacement distance and the standard displacement distance obtained by professional doctors, i.e., the standard reference displacement value, more reasonably reflect its actual swallowing ability, the displacement of each monitoring point should be adaptively increased.

[0135] Figure 4 The flowchart below shows the process of obtaining the muscle movement sequence representation provided in the fourth embodiment of the present invention. The process of obtaining the muscle movement sequence representation includes:

[0136] S401. For each monitoring point, obtain the absolute value of the difference between the actual movement sequence number of the muscle movement event and the preset reference standard movement sequence number, and sum the absolute values ​​of the differences for all monitoring points to obtain the total movement sequence number deviation value.

[0137] The total movement sequence number deviation value can be expressed as: , wherein This indicates that for the patient In the The actual movement sequence number of the muscle movement event corresponding to the monitoring point and the number of the monitoring point. The absolute value of the difference between the reference standard movement sequence number of the muscle movement event corresponding to each monitoring point, where n represents the number of monitoring points.

[0138] Specifically, during swallowing, the movement sequence of the muscles at each monitoring point is recorded and numbered sequentially: the monitoring point that moves first is marked as 1, the one that moves second is marked as 2, and so on. The reference standard movement sequence is derived from the typical movement sequence of the muscles at each monitoring point during normal human swallowing.

[0139] S402. For each monitoring point, obtain the absolute value of the difference between the actual time interval of adjacent muscle movement events and the preset reference standard average time interval, and sum the absolute values ​​of the differences for all monitoring points to obtain the total time interval deviation value.

[0140] The total time interval deviation can be expressed as: , wherein This indicates that for the patient In the The muscle movement event corresponding to the monitoring point and the first The actual time interval between the muscle movement events corresponding to each monitoring point, Indicates the first The muscle movement event corresponding to the monitoring point and the first The reference standard average time interval between the muscle movement events corresponding to each monitoring point, where n represents the number of monitoring points. This indicates taking the absolute value.

[0141] S403. Obtain the muscle movement sequence based on the total movement sequence deviation value and the total time interval deviation value.

[0142] The muscle movement sequence is expressed as a function of the total movement sequence deviation value and the total time interval deviation value, and its value is negatively correlated with both the total movement sequence deviation value and the total time interval deviation value.

[0143] The sequence of muscle movement can be expressed by the following formula:

[0144] ;

[0145] Among them, the Indicates the patient The muscle movement sequence is described.

[0146] It should be noted that, in order to ensure the above It is a dimensionless value, and the calculation parameters in the formula that have not been normalized are as described. and the Normalization was performed beforehand.

[0147] In addition, in order to prevent the aforementioned The case of equal to 0 occurs in the above. When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0148] Similarly, in order to prevent the aforementioned The case of equal to 0 occurs, in the... When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0149] Figure 5 The flowchart illustrates the process of acquiring the overall movement performance of a single swallowing monitoring point according to the fifth embodiment of the present invention. The process of acquiring the overall movement performance of a single swallowing monitoring point includes:

[0150] S501. For each monitoring point, obtain its single swallowing monitoring point movement performance, wherein the single swallowing monitoring point movement performance is a function of the slow rate performance and the displacement contraction performance, and its value is negatively correlated with both the slow rate performance and the displacement contraction performance.

[0151] The movement of the single swallowing monitoring point can be expressed by the following formula:

[0152] ;

[0153] Among them, the Indicates the patient In the The movement performance of the single swallowing monitoring point at each monitoring point, the Indicates the patient In the The displacement contraction behavior at each monitoring point, the Indicates the patient In the The rate at each monitoring point is slow.

[0154] It should be noted that, in order to ensure the above It is a dimensionless value, and the calculation parameters in the formula that have not been normalized are as described. and the Normalization was performed beforehand.

[0155] In addition, in order to prevent the aforementioned The case of equal to 0 occurs, in the... When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0156] Similarly, in order to prevent the aforementioned The case of equal to 0 occurs, in the... When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0157] S502. The overall movement of the single swallowing monitoring point is obtained by weighting and summing the movement performance of each monitoring point with the corresponding preset weight.

[0158] The overall movement of the single swallowing monitoring point can be expressed by the following formula:

[0159] ;

[0160] Among them, the Indicates the patient The single swallowing monitoring point moves as a whole, the Indicates the first The preset weights corresponding to each monitoring point, where n represents the number of monitoring points.

[0161] Figure 6 The flowchart below shows the process for obtaining swallowing ability performance according to the sixth embodiment of the present invention. The process for obtaining swallowing ability performance includes:

[0162] S601. Obtain the ratio between the overall movement performance of the single swallowing monitoring point and the preset maximum value of the overall movement performance of the single swallowing monitoring point as the ratio of the overall movement performance of the single swallowing monitoring point.

[0163] The overall movement performance ratio of the single swallowing monitoring point can be expressed as: , wherein Indicates the patient The single swallowing monitoring point moves as a whole, the This indicates the maximum value of the overall movement of the monitoring point during a single swallowing episode.

[0164] S602. Obtain the difference between the maximum value of the preset muscle movement sequence and the muscle movement sequence as the muscle movement sequence difference.

[0165] The difference in muscle movement sequence can be expressed as: , wherein Indicates the patient The muscle movement sequence is expressed as follows: This indicates the maximum value of the preset muscle movement sequence.

[0166] S603. The swallowing ability is expressed as a function of the ratio of the overall movement performance of the single swallowing monitoring point and the difference in the muscle movement sequence, and its value is positively correlated with the ratio of the overall movement performance of the single swallowing monitoring point and negatively correlated with the difference in the muscle movement sequence.

[0167] The swallowing ability can be expressed by the following formula:

[0168] ;

[0169] Among them, the Indicates the patient The swallowing ability described above.

[0170] To prevent the above The case of equal to 0 occurs in the above. When the value equals 0, to avoid the denominator being 0, the above can be... Replace with The The value can be set by the user to a non-zero number according to the actual situation, preferably 0.01.

[0171] Figure 7 The flowchart illustrates the process of obtaining the functional performance of the maxillofacial muscles according to the seventh embodiment of the present invention. The process of obtaining the functional performance of the maxillofacial muscles includes:

[0172] S701. Obtain the patient's swallowing ability performance in a preset number of swallowing tests.

[0173] The number of times can be set by the user according to the actual situation, such as 5 times.

[0174] S702. Obtain the difference between the swallowing ability performance corresponding to the first swallowing test and the swallowing ability performance corresponding to the last swallowing test as the difference in swallowing ability performance.

[0175] The poor swallowing ability can be expressed as: , wherein This indicates the swallowing ability performance corresponding to the first swallowing test. This indicates the swallowing ability performance corresponding to the last swallowing test.

[0176] S703. Obtain the maxillofacial muscle group function performance based on the average value of the swallowing ability performance, the difference of the swallowing ability performance, and the swallowing ability performance corresponding to the last swallowing test.

[0177] The functional performance of the maxillofacial muscle groups can be expressed by the following formula:

[0178] ;

[0179] Among them, the Indicates the patient The functional manifestations of the maxillofacial muscle groups, the This represents the average value of the swallowing ability performance.

[0180] Using the maximum-minimum normalization method to the above Normalization process is performed to obtain Its range is [0,1].

[0181] The When the result is within the first preset range, it indicates that the patient's overall swallowing ability is relatively weak.

[0182] The When the result is within the second preset range, it indicates that the patient's overall swallowing ability is good.

[0183] The When the result is within the third preset range, it indicates that the patient's overall swallowing ability is excellent.

[0184] The first preset range, the second preset range, and the third preset range do not overlap and can be set by the user according to the actual situation.

[0185] In addition, the obtained data can also be used to... The above and the The data is integrated into a structured dataset and sent to the doctor's terminal via a secure medical data transmission protocol (such as HL7 or encrypted VPN). Upon receiving the data at the doctor's workstation, the system parses it and imports it into a pre-defined analysis template, presenting it in a concise report format. In addition to text, the report uses tables to normalize the slow rate and displacement contraction performance at each monitoring point under different swallowing counts, enabling doctors to quickly assess functional performance and abnormal patterns.

[0186]

[0187] The present invention has the following beneficial effects:

[0188] First, the patient's physical data is acquired, including: age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, and the magnitude and rate of displacement of various preset monitoring points in the maxillofacial region during swallowing. This physical data forms the basis for subsequent analysis of the patient's maxillofacial muscle function.

[0189] Secondly, a slow swallowing rate is obtained based on the age, the degree of frailty assessed from the physical data, and the displacement rate. This slow swallowing rate characterizes the patient's swallowing speed; a higher value indicates a slower swallowing speed.

[0190] The displacement contraction performance is obtained based on the hyoid bone volume, the spacing, and the magnitude of the displacement. This displacement contraction performance characterizes the magnitude of the patient's swallowing displacement; a higher value indicates poorer muscle contraction function.

[0191] The muscle movement sequence is obtained based on the actual movement sequence number of the muscle movement events corresponding to each monitoring point and the actual time interval between adjacent muscle movement events. The muscle movement sequence is used to characterize the rationality of the muscle movement sequence during swallowing; the larger the value, the closer the patient's swallowing sequence is to normal.

[0192] The overall movement performance of a single swallowing monitoring point is obtained based on the slow rate performance and the displacement contraction performance. The higher the value of the overall movement performance of a single swallowing monitoring point, the better the patient's swallowing movement performance.

[0193] Swallowing ability is assessed based on the overall movement performance at each single swallowing monitoring point and the sequence of muscle movement, thereby obtaining the patient's maxillofacial muscle function performance. This maxillofacial muscle function performance characterizes the patient's overall swallowing performance across multiple swallowing tests; a lower value indicates a stronger overall swallowing ability.

[0194] In summary, this invention achieves a more comprehensive and dynamic assessment of the maxillofacial muscle function of patients by comprehensively evaluating multiple indicators such as swallowing speed, muscle contraction function, and swallowing sequence in a single swallowing test, and combining this with functional endurance decline analysis of multiple swallowing tests. This significantly improves the accuracy of the evaluation results and their clinical reference value.

[0195] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0196] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for dynamically capturing the function of maxillofacial muscles in patients with dysphagia, characterized in that, The method includes: Acquire the patient's physical data, including: age, hyoid bone volume, distance between the hyoid bone body and the oral cavity, displacement magnitude and displacement rate of each preset monitoring point in the maxillofacial region during swallowing; Based on the age, the degree of frailty assessed from the physical data, and the rate of displacement, a slow rate performance was obtained; the slow rate performance was used to characterize the patient's swallowing speed. The displacement contraction performance is obtained based on the hyoid bone volume, the spacing, and the displacement magnitude; the displacement contraction performance is used to characterize the magnitude of the patient's swallowing displacement. The muscle movement sequence is obtained based on the actual movement sequence number of the muscle movement event corresponding to each monitoring point and the actual time interval between adjacent muscle movement events; the muscle movement sequence is used to characterize the rationality of the muscle movement sequence during swallowing. The overall movement performance of a single swallowing monitoring point is obtained based on the slow rate performance and the displacement contraction performance. Swallowing ability performance is obtained based on the overall movement performance of the single swallowing monitoring point and the muscle movement sequence performance, and then the maxillofacial muscle group function performance of the patient is obtained, including: obtaining the swallowing ability performance of the patient in a preset number of swallowing tests; obtaining the difference between the swallowing ability performance corresponding to the first swallowing test and the swallowing ability performance corresponding to the last swallowing test as the difference in swallowing ability performance; obtaining the maxillofacial muscle group function performance based on the average value of the swallowing ability performance, the difference in swallowing ability performance, and the swallowing ability performance corresponding to the last swallowing test.

2. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of obtaining the degree of weakness includes: A preset number of body parameters from the body data are input into a preset deep learning detection model for weakness, and the deep learning detection model for weakness outputs the degree of weakness used to assess the patient's physical condition.

3. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of obtaining the slow rate performance includes: The sum of the differences between the normal displacement rate of any monitoring point and the normal displacement rates of the other monitoring points is taken as the total displacement rate deviation value. The difference between the preset maximum degree of weakness and the degree of weakness is obtained as the weakness deviation value; The degree of influence of the movement rate of any monitoring point is calculated based on the total displacement rate deviation value, the weak deviation value, and the age. The slow rate manifestation is obtained based on the degree of influence of the movement rate, the normal displacement rate of any monitoring point, and the patient's measured displacement rate.

4. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 3, characterized in that, The process of obtaining the degree of influence of the movement rate includes: The slow rate is expressed as a function of the total displacement rate deviation, the weak deviation, and the age, with its value being positively correlated with the age and the total displacement rate deviation, and negatively correlated with the weak deviation.

5. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of obtaining the displacement contraction performance includes: The difference between the stated spacing and the preset minimum spacing is taken as the spacing difference; The degree of influence of the hyoid bone performance is obtained based on the aforementioned spacing difference and the hyoid bone volume. The displacement contraction performance is obtained based on the degree of influence of the hyoid bone, the displacement magnitude at any monitoring point, and the standard reference displacement value.

6. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 5, characterized in that, The process of obtaining the degree of influence of the hyoid bone manifestation includes: The degree of influence of the hyoid bone manifestation is a function of the distance difference and the volume of the hyoid bone, and its value is negatively correlated with both the distance difference and the volume of the hyoid bone.

7. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of obtaining the muscle movement sequence includes: For each monitoring point, the absolute value of the difference between the actual movement sequence number of the muscle movement event and the preset reference standard movement sequence number is obtained, and the total movement sequence number deviation value is obtained by summing the absolute values ​​of the differences of all monitoring points. For each monitoring point, the absolute value of the difference between the actual time interval of adjacent muscle movement events and the preset reference standard average time interval is obtained, and the total time interval deviation value is obtained by summing the absolute values ​​of the differences of all monitoring points. The muscle movement sequence is obtained based on the total movement sequence deviation value and the total time interval deviation value.

8. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of acquiring the overall movement performance of the single swallowing monitoring point includes: For each monitoring point, its single swallowing monitoring point movement performance is obtained. The single swallowing monitoring point movement performance is a function of the slow rate performance and the displacement contraction performance, and its value is negatively correlated with both the slow rate performance and the displacement contraction performance. The overall movement of the single swallowing monitoring point is obtained by weighting and summing the movement performance of each monitoring point with the corresponding preset weight.

9. The method for dynamic capture of maxillofacial muscle function in patients with dysphagia as described in claim 1, characterized in that, The process of acquiring the swallowing ability performance includes: The ratio between the overall movement performance of the single swallowing monitoring point and the preset maximum value of the overall movement performance of the single swallowing monitoring point is obtained as the overall movement performance ratio of the single swallowing monitoring point. The difference between the maximum value of the preset muscle movement sequence and the muscle movement sequence is obtained as the muscle movement sequence difference. The swallowing ability is expressed as a function of the ratio of the overall movement performance at the single swallowing monitoring point and the difference in the muscle movement sequence. Its value is positively correlated with the ratio of the overall movement performance at the single swallowing monitoring point and negatively correlated with the difference in the muscle movement sequence.

Citation Information

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