A flexible sensing function integrated lingual muscle function detection system and method

Abstract

This invention relates to the field of perioral muscle function detection technology, and discloses a flexible sensing integrated tongue muscle function detection system and method. The system includes: a brace-type flexible thin-film sensor, a wireless transmission module, and a control module. The brace-type flexible thin-film sensor is configured as a wearable brace structure, and internally contains a sensor array composed of multiple sensing units distributed in the maxillary and lateral tooth regions corresponding to tongue muscle activity. The wireless transmission module is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor via a flexible printed circuit. The control module is connected to the wireless transmission module and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. This invention achieves precise, non-invasive, and real-time monitoring of tongue muscle activity.

Description

Technical Field

[0001] This invention relates to the field of perioral muscle function detection technology, and more specifically, to a flexible sensing integrated tongue muscle function detection system and method. Background Technology

[0002] The perioral muscles, including the tongue muscles, masticatory muscles, and facial muscles, are crucial for the proper functioning of the jaw and are essential for establishing a good occlusal relationship. Among these, tongue muscle function is closely related to the occurrence, correction, and maintenance of malocclusion. In rehabilitation research on tongue muscle dysfunction, testing tongue muscle function allows for an objective assessment of the effectiveness of various interventions, providing a scientific basis for optimizing and improving rehabilitation treatment techniques.

[0003] Existing standard tongue muscle function testing equipment has limited functionality, providing only basic information about tongue muscle function. It struggles to accurately reflect subtle changes in different areas and stages of movement, and its operation is relatively complex, requiring professional personnel. Furthermore, current diagnostic methods for perioral muscle function tend to rely heavily on qualitative analysis, lacking quantitative data support and thus resulting in insufficient accuracy.

[0004] In the past, the treatment and training of myofascial dysfunction relied heavily on the experience of dentists and also required a high degree of autonomy from patients. For example, training methods for tongue muscle function, such as licking small balls or flattening chewing gum, were tedious and boring, and also carried a certain risk of accidental swallowing, making it difficult to guarantee the training effect.

[0005] However, flexible sensors are typically made of soft materials, providing proprioceptive and extrinsic sensing capabilities for soft structures. Flexible sensors possess excellent flexibility, adaptability, ductility, and stability, and come in a wide variety of structural forms. Furthermore, integrating flexible sensing functions can reduce many complex operational procedures and facilitate easier human-computer interaction, thereby enabling personalized tongue muscle function training methods.

[0006] Therefore, it is necessary to design a flexible sensing integrated tongue muscle function detection system and method to solve the problems existing in the current technology. Summary of the Invention

[0007] In view of this, the present invention proposes a flexible sensing integrated tongue muscle function detection system and method, aiming to provide a system and method that can accurately and conveniently realize quantitative detection of tongue muscle function, and can combine the detection results for personalized, safe and effective training.

[0008] This invention proposes a flexible sensing integrated tongue muscle function detection system, comprising: The device comprises a brace-type flexible thin-film sensor, a wireless transmission module, and a control module. The brace-type flexible thin-film sensor is configured as a wearable brace structure and contains an array of multiple sensing units distributed in the maxillary and lateral tooth regions corresponding to tongue muscle activity. The wireless transmission module is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor via a flexible printed circuit. The control module is connected to the wireless transmission module and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. The calibration module is configured to acquire the standard capacitance signal of the brace-type flexible thin film sensor corresponding to different sensing units under standard force loading conditions, and establish a mapping relationship matrix between standard force and standard capacitance signal based on multiple sets of standard forces and their corresponding standard capacitance signals. The initial value determination module is configured to acquire the first capacitance signal output by the brace-type flexible film sensor when the tongue to be tested is in a static state, and determine the initial tongue muscle function assessment value of the tongue to be tested based on the first capacitance signal. The correction module is configured to acquire the second capacitance signal output by the brace-type flexible film sensor when the tongue to be detected is in motion, and correct the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. The data storage and communication module is configured to store the mapping matrix, the initial tongue muscle function assessment value, and the corrected tongue muscle function assessment value, and send them to an external terminal via the wireless transmission module.

[0009] Furthermore, the brace-type flexible thin-film pressure sensor includes an upper flexible thin-film electrode, a lower flexible thin-film electrode disposed opposite to each other, and a flexible dielectric layer disposed between the two. The pressure applied by the tongue to be detected causes a change in capacitance between the upper and lower flexible thin-film electrodes through the deformation of the flexible dielectric layer, thereby obtaining the capacitance signal.

[0010] Furthermore, when acquiring the standard capacitance signal of the brace-type flexible thin-film sensor corresponding to different sensing units under standard force loading conditions, the process includes: The standard force loading conditions include the upper limit of the standard force, the lower limit of the standard force, and the standard force loading step size; Among them, determining the standard force loading step size includes: Obtain the minimum resolution of the brace-type flexible thin-film sensor, and determine the basic loading step size based on the minimum resolution; The required detection accuracy of the tongue to be detected is determined, and the sensitivity of the brace-type flexible thin film sensor is collected. Based on the required detection accuracy and sensitivity, the basic loading step size is adjusted, and the standard force loading step size is obtained.

[0011] Furthermore, when determining the basic loading step size based on the minimum resolution, the following steps are included: The minimum resolution is compared with the first minimum resolution and the second minimum resolution, and the basic loading step size is determined based on the comparison result; wherein the first minimum resolution is less than the second minimum resolution. When the minimum resolution is less than or equal to the first minimum resolution, the basic loading step size is determined to be the first loading step size; When the minimum resolution is greater than the first minimum resolution and less than or equal to the second minimum resolution, the loading step size is determined to be the second loading step size. When the minimum resolution is greater than the second minimum resolution, the loading step size is determined to be the third loading step size.

[0012] Furthermore, when adjusting the basic loading step size based on the detection accuracy requirements and sensitivity, and obtaining the standard force loading step size, the following steps are included: Construct a loading step size setting group based on the aforementioned detection accuracy requirements and sensitivity; The loading step size setting group is compared with the historical loading step size set, and the step size adjustment amount of the basic loading step size is determined based on the comparison result. If the historical loading step set contains a historical loading step setting group that is the same as the loading step setting group, then the historical loading step setting group corresponding to the historical loading step setting group is used as the step adjustment amount. If there is no historical loading step size setting group that is the same as the loading step size setting group, then the step size adjustment amount is determined according to the loading step size setting group.

[0013] Further, when determining the step size adjustment amount according to the loading step size setting group, it includes: The required testing accuracy includes the testing accuracy requirements during the rehabilitation training phase and the testing accuracy requirements for clinical diagnosis. The basic step size adjustment amount is determined based on the aforementioned detection accuracy requirements. The sensitivity is compared with a preset sensitivity range, and the core step size adjustment is determined based on the comparison result; wherein, the preset sensitivity range includes a first sensitivity range, a second sensitivity range, and a third sensitivity range; When the sensitivity is placed in the first sensitivity range, the core step size adjustment amount is determined to be the first core step size adjustment amount; When the sensitivity is placed in the second sensitivity range, the core step size adjustment amount is determined to be the second core step size adjustment amount; When the sensitivity is placed in the third sensitivity range, the core step size adjustment amount is determined to be the third core step size adjustment amount; The step size adjustment is obtained by weighted summing the basic step size adjustment and the core step size adjustment. The sum of the step size adjustment and the basic loading step size is used as the standard force loading step size.

[0014] Further, when determining the initial tongue muscle function assessment value of the tongue to be detected based on the first capacitance signal, the process includes: Feature extraction is performed on the first capacitance signal to obtain the maximum capacitance signal, minimum capacitance signal, average capacitance signal, and capacitance signal fluctuation value; Obtain the maximum standard force value, minimum standard force value, and average standard force value corresponding to the maximum capacitance signal, minimum capacitance signal, and average capacitance signal; The baseline resting muscle strength of the tongue to be tested is determined based on the maximum standard force value, the minimum standard force value, and the average standard force value. The initial tongue muscle function assessment value is determined based on the baseline resting muscle strength value and capacitance signal fluctuation value. In determining the baseline resting muscle strength value, the following are included: The maximum standard force value, minimum standard force value, and average standard force value are normalized to obtain the corresponding standard force characteristic value. Construct a resting muscle force feature vector based on the aforementioned standard force feature values; The resting muscle strength feature vector is weighted and fused to obtain the basic resting muscle strength value of the tongue to be tested.

[0015] Further, when determining the initial tongue muscle function assessment value based on the baseline resting muscle strength value and capacitance signal fluctuation value, the following steps are included: The baseline resting muscle strength value is compared with the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is compared with the capacitance signal fluctuation threshold. The initial tongue muscle function assessment value is determined based on the comparison results. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the first tongue muscle function assessment value. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the second tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the third tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the fourth tongue muscle function assessment value.

[0016] Further, when correcting the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value, the process includes: The second capacitor signal is filtered to obtain a concentrated range of capacitor signals, and the standard force value corresponding to each second capacitor signal in the concentrated range of capacitor signals is obtained. Calculate the standard deviation of all standard force values ​​within the concentrated range of the capacitance signal, and compare the standard deviation with a preset standard deviation threshold; If the standard deviation is less than or equal to a preset standard deviation threshold, then the standard force value within the concentrated interval of the capacitance signal is determined to be the effective motion force value, and the mean of the effective motion force value is calculated as the reference value of the exercise muscle force. If the standard deviation is greater than the preset standard deviation threshold, the concentrated interval of the capacitance signal is segmented, and the standard force value of each segment is compared with the preset standard deviation threshold within the segment. The segments that meet the conditions are selected as effective motion force segments, and the mean of the standard force values ​​within the effective motion force segments is calculated as the reference value of the exercise muscle strength. The rate of change of muscle strength is constructed based on the difference between the reference value of exercise muscle strength and the baseline resting muscle strength value, and the corresponding correction coefficient is determined according to the rate of change interval in which the rate of change of muscle strength falls. The rate of change range includes a weak change range, a moderate change range, and a significant change range, which correspond to the first correction coefficient, the second correction coefficient, and the third correction coefficient, respectively. The corrected tongue muscle function assessment value is obtained by multiplying the initial tongue muscle function assessment value by the corresponding correction coefficient.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention presents a flexible sensing integrated tongue muscle function detection system. Through an innovative brace-style flexible thin-film sensor design, it achieves precise, non-invasive, and real-time monitoring of tongue muscle activity. First, the sensor adopts a wearable brace structure that conforms to the oral cavity, ensuring testing comfort and stability. The sensor array is distributed in key areas to capture changes in tongue pressure, providing a data foundation. Second, the wireless transmission module is combined with a flexible printed circuit, avoiding the limitations of wired connections and ensuring reliable and flexible signal transmission, accurately collecting tongue muscle movement data in natural states. The calibration module of the control module establishes a mapping matrix, providing a basis for signal conversion, dynamically adjusting the loading step size, improving calibration accuracy and adaptability, and ensuring data comparability. The initial value determination module and correction module work together to first determine the initial evaluation value and then dynamically correct it, making the evaluation results more comprehensive and accurate. The data storage and communication module ensures data storage and transmission, facilitating subsequent analysis and monitoring. Furthermore, the sensor's three-layer structure design features high sensitivity and good flexibility, accurately responding to minute force changes, ensuring data quality.

[0018] In another aspect, the present invention also proposes a method for detecting tongue muscle function that integrates flexible sensing capabilities, comprising the following steps: Under standard force loading conditions, the standard capacitance signals of the brace-type flexible thin film sensor corresponding to different sensing units are obtained, and a mapping relationship matrix between standard force and standard capacitance signal is established based on multiple sets of standard forces and their corresponding standard capacitance signals. When the tongue to be tested is in a static state, the first capacitance signal output by the brace-type flexible film sensor is collected, and the initial tongue muscle function assessment value of the tongue to be tested is determined based on the first capacitance signal. When the tongue to be detected is in motion, the second capacitance signal output by the brace-type flexible film sensor is acquired, and the initial tongue muscle function assessment value is corrected based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. The mapping matrix, initial tongue muscle function assessment value, and corrected tongue muscle function assessment value are stored and sent to an external terminal via the wireless transmission module.

[0019] It is understandable that the above-mentioned flexible sensing integrated tongue muscle function detection system and method have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0020] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1A schematic diagram of the flexible sensing integrated tongue muscle function detection system provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of the flexible thin-film sensor for dental braces provided in an embodiment of the present invention; Figure 3 A flowchart of a tongue muscle function detection method integrating flexible sensing function provided in an embodiment of the present invention.

[0021] In the diagram: 1. Upper jaw region; 2. Wireless transmission module; 3. Control module; 4. Bracket-style wearing structure; 5. Bracket-style flexible thin film sensor; 6. Upper flexible thin film electrode; 7. Flexible dielectric layer; 8. Lower flexible thin film electrode. Detailed Implementation

[0022] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0023] See Figure 1 , Figure 2 As shown in some embodiments of this application, this embodiment provides a tongue muscle function detection system integrating flexible sensing function, including: The device comprises a brace-type flexible thin-film sensor 5, a wireless transmission module 2, and a control module 3. The brace-type flexible thin-film sensor 5 is configured as a wearable brace structure and contains a sensor array consisting of multiple sensing units distributed in the maxillary region 1 and the lateral tooth region corresponding to tongue muscle activity. The wireless transmission module 2 is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor 5 via a flexible printed circuit. The control module 3 is connected to the wireless transmission module 2 and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. The calibration module is configured to acquire the standard capacitance signals of the flexible thin film sensor 5 with different sensing units under standard force loading conditions, and establish a mapping relationship matrix between standard force and standard capacitance signal based on multiple sets of standard forces and their corresponding standard capacitance signals. The initial value determination module is configured to acquire the first capacitance signal output by the dental flexible film sensor 5 when the tongue to be tested is in a static state, and determine the initial tongue muscle function assessment value of the tongue to be tested based on the first capacitance signal. The correction module is configured to acquire the second capacitance signal output by the flexible film sensor 5 when the tongue to be detected is in motion, and correct the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. The data storage and communication module is configured to store the mapping relationship matrix, the initial tongue muscle function assessment value, and the corrected tongue muscle function assessment value, and transmit them to an external terminal via the wireless transmission module 2.

[0024] In this embodiment, the brace-type flexible thin-film sensor 5 is a capacitive flexible thin-film pressure sensor, comprising an upper flexible thin-film electrode 6 and a lower flexible thin-film electrode 8 disposed opposite each other, and a flexible dielectric layer 7 disposed between them; wherein, both the upper flexible thin-film electrode 6 and the lower flexible thin-film electrode 8 are flexible thin-film structures with printed electrodes and printed circuits. The flexible thin-film material can be selected from biocompatible flexible thin-film materials such as TPU film or PDMS film to ensure that the flexible thin film has high toughness, non-toxicity and wear resistance, meeting the needs of long-term oral wear. The printed electrodes and printed circuits are prepared by 3D printing, and the printing material can be selected from stretchable silver paste material or printable liquid gallium indium alloy material; wherein, the surface of the printed electrodes and circuits is smooth, uniformly distributed and has low resistance, so as to improve the stability and accuracy of capacitive signal acquisition. Preferably, the flexible dielectric layer 7 is made of ion gel material, which has excellent flexibility and biocompatibility; more preferably, the size of the flexible dielectric layer 7 covers the entire electrode area of ​​the upper flexible thin-film electrode 6 and the lower flexible thin-film electrode 8, and its thickness is not greater than 0.5 mm, corresponding to a pressure detection range of 30 kPa. Wireless transmission module 2 is a Bluetooth wireless transmission module 2.

[0025] It is understood that the flexible sensing integrated tongue muscle function detection system of this embodiment achieves precise, non-invasive, and real-time monitoring of tongue muscle activity through the innovative design of a brace-like flexible thin-film sensor 5. First, the sensor adopts a wearable brace structure that conforms to the oral cavity, ensuring testing comfort and stability; the sensor array is distributed in key areas to capture changes in tongue pressure, providing a data foundation. Second, the wireless transmission module 2 is combined with a flexible printed circuit to avoid the limitations of wired connections, ensuring reliable and flexible signal transmission and accurately collecting tongue muscle movement data in a natural state. The calibration module of the control module 3 establishes a mapping matrix, providing a basis for signal conversion, dynamically adjusting the loading step size, improving calibration accuracy and adaptability, and ensuring data comparability. The initial value determination module and correction module work together to first determine the initial evaluation value and then dynamically correct it, making the evaluation results more comprehensive and accurate. The data storage and communication module ensures data storage and transmission, facilitating subsequent analysis and monitoring. Furthermore, the sensor's three-layer structure design features high sensitivity and good flexibility, accurately responding to minute force changes and ensuring data quality.

[0026] Specifically, the brace-type flexible thin-film pressure sensor includes an upper flexible thin-film electrode 6, a lower flexible thin-film electrode 8 disposed opposite to each other, and a flexible dielectric layer 7 disposed between the two. The pressure applied by the tongue to be detected causes a change in capacitance between the upper flexible thin-film electrode 6 and the lower flexible thin-film electrode 8 due to the deformation of the flexible dielectric layer 7, thereby obtaining a capacitance signal.

[0027] Understandably, when the tongue being detected performs different movements within the oral cavity (such as tongue extension, tongue curling, tongue pushing, etc.), it comes into contact with and applies pressure to the sensing units in the maxillary region 1 and lateral tooth region of the flexible thin-film sensor 5. This pressure causes the flexible dielectric layer 7 located between the upper flexible thin-film electrode 6 and the lower flexible thin-film electrode 8 to undergo compressive deformation. Since the flexible dielectric layer 7 is made of ionogel material, its thickness undergoes a small but precisely detectable change when subjected to external force. According to the capacitance calculation formula for a parallel plate capacitor, C = εS / d (where ε is the dielectric constant, S is the plate area, and d is the plate spacing), when the thickness d of the flexible dielectric layer 7 decreases due to pressure, the capacitance C between the upper and lower flexible thin-film electrodes 8 increases accordingly; conversely, when the pressure decreases, the thickness d increases, and the capacitance C decreases.

[0028] Specifically, when acquiring the standard capacitance signals of the flexible thin-film sensor 5 for different sensing units under standard force loading conditions, the following steps are included: The standard force loading conditions include the upper limit of the standard force, the lower limit of the standard force, and the standard force loading step size; Among these, determining the standard force loading step size includes: The minimum resolution of the brace-type flexible thin-film sensor 5 is obtained, and the basic loading step size is determined based on the minimum resolution. The required detection accuracy for the tongue to be tested is determined, and the sensitivity of the flexible thin-film sensor 5 is collected. Based on the required detection accuracy and sensitivity, the basic loading step size is adjusted, and the standard force loading step size is obtained.

[0029] It is understandable that the upper and lower limits of the standard force refer to the maximum and minimum force values ​​that can be applied in tongue muscle function testing, respectively. Their setting needs to comprehensively consider the pressure range generated during normal physiological activity of the human tongue muscles and the sensor's detection range. For the sensor with a pressure detection range of 30 kPa in this embodiment, the upper limit of the standard force is usually set close to or slightly below this range, such as 25 kPa, to ensure coverage of most normal and mildly abnormal tongue muscle movement pressures. The lower limit of the standard force is set as the minimum force value that the sensor can stably detect. Considering the sensor's high sensitivity and its minimum resolution, the lower limit of the standard force can be set to 0.5 kPa to ensure effective capture of weak tongue muscle activity.

[0030] Specifically, when determining the basic loading step size based on minimum resolution, the following are included: The minimum resolution is compared with the first minimum resolution and the second minimum resolution, and the basic loading step size is determined based on the comparison result; wherein the first minimum resolution is smaller than the second minimum resolution. When the minimum resolution is less than or equal to the first minimum resolution, the basic loading step size is determined to be the first loading step size; When the minimum resolution is greater than the first minimum resolution and less than or equal to the second minimum resolution, the loading step size is determined to be the second loading step size. When the minimum resolution is greater than the second minimum resolution, the loading step size is determined to be the third loading step size.

[0031] It is understood that the first minimum resolution and the second minimum resolution refer to two preset resolution thresholds used to classify the minimum resolution of the sensor, thereby matching the basic loading step size for different accuracy requirements. For example, in this embodiment, the first minimum resolution can be set to 0.1 kPa and the second minimum resolution can be set to 0.3 kPa. At this point, if the sensor's minimum resolution is less than or equal to 0.1 kPa (i.e., the first minimum resolution), it indicates that the sensor has extremely high force resolution. To fully utilize its accuracy and ensure the meticulousness of the calibration, the basic loading step size can be set to a small first loading step size, such as 0.2 kPa. When the sensor's minimum resolution is greater than 0.1 kPa and less than or equal to 0.3 kPa (i.e., the second minimum resolution), its resolution is moderate, and the basic loading step size can be set to a medium second loading step size, such as 0.5 kPa. When the sensor's minimum resolution is greater than 0.3 kPa, its resolution is relatively low. To avoid low calibration efficiency or data redundancy due to an excessively small loading step size, the basic loading step size is set to a larger third loading step size, such as 1.0 kPa. By setting the basic loading step size in this tiered manner, the efficiency of the calibration process and the adaptability to individual sensor differences can be considered while ensuring calibration accuracy.

[0032] Specifically, when adjusting the basic loading step size based on detection accuracy requirements and sensitivity to obtain the standard force loading step size, the following steps are included: Construct a loading step size setting group based on the detection accuracy requirements and sensitivity; The loading step size setting group is compared with the historical loading step size set, and the step size adjustment amount of the basic loading step size is determined based on the comparison results. If the historical loading step set contains a historical loading step setting group that is the same as the loading step setting group, then the historical loading step setting group corresponding to the historical loading step setting group will be used as the step adjustment amount. If there is no historical loading step size setting group that is the same as the loading step size setting group, then the step size adjustment amount is determined according to the loading step size setting group.

[0033] Understandably, sensitivity characterizes a sensor's ability to respond to pressure changes. Higher sensitivity results in a greater change in the sensor's output capacitance signal under the same pressure change, which is more effective at capturing minute tongue muscle movements. The historical loading step size set refers to a dataset of loading step size settings and their corresponding adjustment values ​​recorded during past system use for different combinations of detection accuracy and sensitivity. This dataset contains proven adjustment experience. When the system constructs the current loading step size setting, it first searches and compares it within the historical loading step size set. If a completely identical historical loading step size setting is found, it indicates that the current detection scenario and sensor state are highly similar to a historical situation. In this case, directly calling the historical step size adjustment value corresponding to that historical setting set to adjust the basic loading step size can quickly and reliably obtain a suitable standard force loading step size. This not only improves the efficiency of step size determination but also fully utilizes historical experience data, ensuring the rationality of the adjustment. If no identical setting set exists in the historical loading step size set, the step size adjustment value needs to be dynamically determined based on the current loading step size setting set (i.e., detection accuracy requirements and sensitivity).

[0034] Specifically, when determining the step size adjustment amount based on the loading step size setting group, it includes: The accuracy requirements for testing include those required during rehabilitation training and those required for clinical diagnostic testing. The basic step size adjustment amount is determined based on the detection accuracy requirements. The sensitivity is compared with the preset sensitivity range, and the core step size adjustment is determined based on the comparison result; wherein, the preset sensitivity range includes a first sensitivity range, a second sensitivity range and a third sensitivity range; When the sensitivity is set in the first sensitivity range, the core step size adjustment is determined as the first core step size adjustment. When the sensitivity is set in the second sensitivity range, the core step size adjustment is determined as the second core step size adjustment. When the sensitivity is set to the third sensitivity range, the core step size adjustment is determined to be the third core step size adjustment. The step size adjustment is obtained by weighted summing the basic step size adjustment and the core step size adjustment. The sum of the step size adjustment and the basic loading step size is used as the standard force loading step size.

[0035] Understandably, the baseline step length adjustment for the accuracy requirements of rehabilitation training is a small positive value, such as 0.1 kPa. This is because during rehabilitation training, the patient's tongue muscle activity may be relatively weak and requires meticulous monitoring of recovery progress. A smaller step length adjustment helps to further refine the detection granularity of force value changes based on the baseline loading step length, thereby more accurately reflecting the training effect. On the other hand, the baseline step length adjustment for the accuracy requirements of clinical diagnosis is a relatively large positive value, such as 0.3 kPa. Clinical diagnosis often needs to ensure detection accuracy while also taking into account a certain level of detection efficiency. A larger step length adjustment can appropriately reduce the amount of data collected and improve the speed of the diagnostic process while meeting diagnostic accuracy requirements. The preset sensitivity range is determined based on the sensor's sensitivity characteristics and the requirements of tongue muscle detection scenarios. For example, the first sensitivity range is set to greater than or equal to 0.5 pF / kPa (high sensitivity), with a core step size adjustment of -0.1 kPa (negative adjustment). This means that when the sensor sensitivity is extremely high, even a small change in force can produce a significant difference in capacitance signal. Therefore, appropriately reducing the loading step size can avoid data redundancy and improve detection resolution. The second sensitivity range is set to 0.3 pF / kPa to 0.5 pF / kPa (medium sensitivity), with a core step size adjustment of 0 kPa (zero adjustment). This indicates that within this sensitivity range, the sensor's response capability is moderate, and no additional adjustment to the basic step size is needed to meet routine detection requirements. The third sensitivity range is set to less than 0.3 pF / kPa (low sensitivity), with a core step size adjustment of 0.2 kPa (positive adjustment). Since low-sensitivity sensors respond weakly to pressure changes, increasing the loading step size can make the force change more significant, thereby ensuring that the sensor can stably capture effective capacitance signal changes. When performing weighted summation, the weights of the base step length adjustment and the core step length adjustment can be set according to the emphasis of the actual detection scenario. For example, in the rehabilitation training stage, the base step length adjustment can be given a higher weight (e.g., 0.6), and the core step length adjustment can be given a weight of 0.4. In the clinical diagnosis stage, both weights can be set to 0.5 to balance the accuracy requirements and sensitivity impact. Assuming that in the rehabilitation training stage, the base step length adjustment is 0.1 kPa with a weight of 0.6, the sensor sensitivity is in the first sensitivity range, and the core step length adjustment is -0.1 kPa with a weight of 0.4, then the step length adjustment = 0.02 kPa. If the base loading step length is 0.2 kPa at this time, then the standard force loading step length = 0.22 kPa, thereby achieving fine adjustment of the loading step length.

[0036] Specifically, when determining the initial tongue muscle function assessment value based on the first capacitance signal, the process includes: Feature extraction is performed on the first capacitor signal to obtain the maximum capacitor signal, minimum capacitor signal, average capacitor signal, and capacitor signal fluctuation value; Obtain the maximum standard force value, minimum standard force value, and average standard force value corresponding to the maximum capacitance signal, minimum capacitance signal, and average capacitance signal; The baseline resting muscle strength of the tongue to be tested is determined based on the maximum standard force value, the minimum standard force value, and the average standard force value. Initial tongue muscle function assessment values ​​were determined based on baseline resting muscle strength and capacitance signal fluctuations. In determining the baseline resting muscle strength value, the following are included: The maximum, minimum, and average standard force values ​​are normalized to obtain the corresponding standard force characteristic values. Construct a resting muscle force feature vector based on standard force eigenvalues; The resting muscle strength feature vectors are weighted and fused to obtain the basic resting muscle strength value of the tongue to be tested.

[0037] Understandably, for the first capacitance signal, the key features are the maximum, minimum, average capacitance signal, and capacitance fluctuation value, as these reflect the basic tension and stability of the tongue muscles from different dimensions. The maximum and minimum capacitance signals correspond to the maximum and minimum tension of the tongue at rest, respectively; the average capacitance signal reflects the overall average tension; and the fluctuation value reflects the stability of tongue muscle tension—the smaller the fluctuation value, the more stable the tongue muscles. The maximum, minimum, and average standard force values ​​corresponding to these features are obtained, converting the capacitance signals into mechanical parameters to provide a quantitative basis for muscle strength assessment. Normalization is performed to eliminate dimensional differences in standard force values ​​between different individuals, sensors, or detection environments. For example, each standard force value is divided by the sensor's full-scale standard force value to obtain a standard force feature value of 0-1. A resting muscle strength feature vector is constructed and weighted and fused. The weights can be determined based on clinical experience or machine learning models. For example, the weight of the average standard force value is set to 0.5, and the maximum and minimum are set to 0.3 and 0.2, respectively. The weighted sum is then used to obtain the basic resting muscle strength value. Finally, by combining the capacitance signal fluctuation value, a small fluctuation value is positively corrected on the baseline resting muscle strength value, and a large fluctuation value is negatively corrected, to obtain an initial assessment value that comprehensively reflects the resting muscle function level of the tongue.

[0038] Specifically, when determining initial tongue muscle function assessment values ​​based on baseline resting muscle strength and capacitance signal fluctuations, the following are included: The baseline resting muscle strength value is compared with the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is compared with the capacitance signal fluctuation threshold. The initial tongue muscle function assessment value is determined based on the comparison results. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined as the first tongue muscle function assessment value. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the second tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the third tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the fourth tongue muscle function assessment value.

[0039] Understandably, the baseline resting muscle strength threshold and capacitance signal fluctuation threshold are reference standards determined based on statistical analysis of a large number of clinical sample data and expert consensus, used to define the normal range and stability level of tongue muscle strength at rest. For example, by collecting baseline resting muscle strength values ​​and capacitance signal fluctuation values ​​from healthy adults, statistical methods (such as 95% confidence intervals) were used to determine the baseline resting muscle strength threshold as 0.6 (normalized value) and the capacitance signal fluctuation threshold as 0.15 (normalized value). When the baseline resting muscle strength is greater than or equal to 0.6 and the capacitance signal fluctuation is greater than or equal to 0.15, it is the first tongue muscle function assessment value, indicating that the resting muscle strength of the tongue muscles is normal but the stability is poor. This may be related to the subject's emotional tension or mild neuromuscular regulatory dysfunction during the test. When the baseline resting muscle strength is greater than or equal to 0.6 and the capacitance signal fluctuation is less than 0.15, it is the second tongue muscle function assessment value, indicating that the resting muscle strength of the tongue muscles is normal and the stability is good, which is the ideal resting state. When the baseline resting muscle strength is less than 0.6 but the capacitance signal fluctuation is greater than or equal to 0.15, it is the third tongue muscle function assessment value, indicating that the resting muscle strength of the tongue muscles is insufficient and the stability is poor. This is commonly seen in cases of tongue muscle atrophy, early nerve injury, or muscle weakness caused by prolonged bed rest. When the baseline resting muscle strength is less than 0.6 and the capacitance signal fluctuation is less than 0.15, it is the fourth tongue muscle function assessment value, indicating that the resting muscle strength of the tongue muscles is significantly insufficient but the stability is still acceptable in the current state. This may be due to the recovery period of nerve injury or the presence of chronic muscle weakness. This multi-dimensional threshold comparison allows for a preliminary classification and quantitative assessment of the initial tongue muscle function state, providing a basic reference for subsequent dynamic functional assessments. The preferred values ​​for the first, second, third, and fourth tongue muscle function assessments are 0.8, 1.0, 0.5, and 0.3, respectively.

[0040] Specifically, when correcting the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value, the following steps are included: The second capacitor signal is filtered to obtain the concentrated range of capacitor signals, and the standard force value corresponding to each second capacitor signal in the concentrated range of capacitor signals is obtained. Calculate the standard deviation of all standard force values ​​within the concentrated range of capacitance signals, and compare the standard deviation with a preset standard deviation threshold; If the standard deviation is less than or equal to the preset standard deviation threshold, the standard force value within the concentrated interval of the capacitance signal is determined to be the effective motion force value, and the mean of the effective motion force value is calculated as the reference value of the motion muscle force. If the standard deviation is greater than the preset standard deviation threshold, the concentrated interval of the capacitance signal is segmented, and the standard force value of each segment is compared with the preset standard deviation threshold within the segment. The segments that meet the conditions are selected as effective motion force segments, and the mean of the standard force values ​​within the effective motion force segments is calculated as the reference value of the exercise muscle force. The rate of change of muscle strength is constructed based on the difference between the reference value of exercise muscle strength and the baseline resting muscle strength value, and the corresponding correction coefficient is determined according to the rate of change interval in which the rate of change of muscle strength falls. Among them, the rate of change range includes a weak change range, a moderate change range, and a significant change range, which correspond to the first correction coefficient, the second correction coefficient, and the third correction coefficient, respectively. The corrected tongue muscle function assessment value is obtained by multiplying the initial tongue muscle function assessment value by the corresponding correction factor.

[0041] Understandably, the capacitance signal concentration interval refers to the continuous interval in the second capacitance signal where the signal values ​​are most densely distributed after removing outliers (such as sudden signals caused by swallowing or non-detectable tongue movements). This interval can centrally reflect the typical capacitance signal characteristics of the tongue during active movement. For example, when the tongue performs active movements such as protrusion and curling (i.e., when the tongue under test is in motion), the second capacitance signal will exhibit regular fluctuations. Clustering algorithms or sliding window statistics can be used to filter out areas with concentrated signal amplitudes, i.e., the capacitance signal concentration interval. The standard force values ​​corresponding to all second capacitance signals within this interval are obtained. These force values ​​directly reflect the dynamic force changes applied to the sensor during tongue movement. Calculating the standard deviation aims to assess the dispersion of the motion force values; a smaller standard deviation indicates a more stable force output during movement, while a larger standard deviation indicates greater fluctuations. The preset standard deviation threshold is set based on the stability data of tongue muscle force during movement in healthy individuals, for example, 0.2 kPa. If the calculated standard deviation is ≤0.2 kPa, it indicates that the current movement force is generally stable, and the mean can be directly used as the reference value for movement muscle strength, representing the average dynamic muscle strength level of the tongue in this movement mode. If the standard deviation is >0.2 kPa, it indicates that there are unstable factors during the movement (such as discontinuous patient movements or uncoordinated muscle control). In this case, segmented processing is used, dividing the concentrated interval into several sub-segments according to time or signal characteristics (e.g., every 0.5 seconds is a segment), calculating the standard deviation of the standard force value of each segment, and comparing it with the preset standard deviation threshold within the segment (e.g., 0.15 kPa). Effective movement force segments with a standard deviation ≤0.15 kPa are selected, and their mean is used as the reference value for movement muscle strength to eliminate the interference of unstable segments on the assessment. The rate of change of muscle strength reflects the ability of muscle strength to improve during active movement compared to the resting state. The calculation formula is (reference value of movement muscle strength - baseline resting muscle strength value) / baseline resting muscle strength value × 100%. The range of change rates is set based on clinical studies. For example, the range of slight change is <20%, corresponding to a first correction factor of 0.9 (insufficient muscle strength improvement, the initial assessment value is adjusted downward); the range of moderate change is 20%-50%, corresponding to a second correction factor of 1.0 (muscle strength improvement meets expectations, the initial assessment value is maintained); and the range of significant change is >50%, corresponding to a third correction factor of 1.1 (good muscle strength improvement, the initial assessment value is adjusted upward). For example, if the initial tongue muscle function assessment value is 1.0 (second assessment value), and the rate of change of the exercise muscle strength reference value from the baseline resting muscle strength value is 60% (significant change range), then the corrected tongue muscle function assessment value = 1.0 × 1.1 = 1.1, which more comprehensively reflects the overall functional level of the tongue muscles from rest to dynamic movement.

[0042] See Figure 3 As shown in some embodiments of this application, this embodiment provides a tongue muscle function detection method integrating flexible sensing function, including the following steps: S100: Under standard force loading conditions, acquire the standard capacitance signals of the brace-type flexible thin film sensor corresponding to different sensing units, and establish a mapping relationship matrix between standard force and standard capacitance signals based on multiple sets of standard forces and their corresponding standard capacitance signals. S200: When the tongue to be tested is in a static state, the first capacitance signal output by the brace-type flexible film sensor is collected, and the initial tongue muscle function assessment value of the tongue to be tested is determined based on the first capacitance signal. S300: When the tongue to be detected is in motion, the second capacitance signal output by the brace-type flexible film sensor is acquired, and the initial tongue muscle function assessment value is corrected based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. S400: Store the mapping matrix, the initial tongue muscle function assessment value, and the corrected tongue muscle function assessment value, and send them to an external terminal through the wireless transmission module.

[0043] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0044] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0045] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0046] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A tongue muscle function detection system integrating flexible sensing function, characterized in that, include: The device comprises a brace-type flexible thin-film sensor, a wireless transmission module, and a control module. The brace-type flexible thin-film sensor is configured as a wearable brace structure and contains an array of multiple sensing units distributed in the maxillary and lateral tooth regions corresponding to tongue muscle activity. The wireless transmission module is located in the lateral region of the upper molars and is connected to the brace-type flexible thin-film sensor via a flexible printed circuit. The control module is connected to the wireless transmission module and includes a calibration module, an initial value determination module, a correction module, and a data storage and communication module. The calibration module is configured to acquire the standard capacitance signal of the brace-type flexible thin film sensor corresponding to different sensing units under standard force loading conditions, and establish a mapping relationship matrix between standard force and standard capacitance signal based on multiple sets of standard forces and their corresponding standard capacitance signals. The initial value determination module is configured to acquire the first capacitance signal output by the brace-type flexible film sensor when the tongue to be tested is in a static state, and determine the initial tongue muscle function assessment value of the tongue to be tested based on the first capacitance signal. The correction module is configured to acquire the second capacitance signal output by the brace-type flexible film sensor when the tongue to be detected is in motion, and correct the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. The data storage and communication module is configured to store the mapping matrix, the initial tongue muscle function assessment value, and the corrected tongue muscle function assessment value, and send them to an external terminal via the wireless transmission module.

2. The tongue muscle function detection system integrating flexible sensing function according to claim 1, characterized in that, The brace-type flexible thin-film sensor includes an upper flexible thin-film electrode, a lower flexible thin-film electrode, and a flexible dielectric layer disposed between them. The pressure applied by the tongue to be detected causes a change in capacitance between the upper and lower flexible thin-film electrodes due to the deformation of the flexible dielectric layer, thereby obtaining the capacitance signal.

3. The tongue muscle function detection system integrating flexible sensing function according to claim 2, characterized in that, When acquiring the standard capacitance signal of the brace-type flexible thin-film sensor corresponding to different sensing units under standard force loading conditions, the following steps are included: The standard force loading conditions include the upper limit of the standard force, the lower limit of the standard force, and the standard force loading step size; Among them, determining the standard force loading step size includes: Obtain the minimum resolution of the brace-type flexible thin-film sensor, and determine the basic loading step size based on the minimum resolution; The required detection accuracy of the tongue to be detected is determined, and the sensitivity of the brace-type flexible thin film sensor is collected. Based on the required detection accuracy and sensitivity, the basic loading step size is adjusted, and the standard force loading step size is obtained.

4. The tongue muscle function detection system integrating flexible sensing function according to claim 3, characterized in that, When determining the basic loading step size based on the minimum resolution, the following are included: The minimum resolution is compared with the first minimum resolution and the second minimum resolution, and the basic loading step size is determined based on the comparison result; wherein the first minimum resolution is less than the second minimum resolution. When the minimum resolution is less than or equal to the first minimum resolution, the basic loading step size is determined to be the first loading step size; When the minimum resolution is greater than the first minimum resolution and less than or equal to the second minimum resolution, the loading step size is determined to be the second loading step size. When the minimum resolution is greater than the second minimum resolution, the loading step size is determined to be the third loading step size.

5. The tongue muscle function detection system integrating flexible sensing function according to claim 4, characterized in that, When adjusting the basic loading step size based on the aforementioned detection accuracy requirements and sensitivity, and obtaining the standard force loading step size, the following steps are included: Construct a loading step size setting group based on the aforementioned detection accuracy requirements and sensitivity; The loading step size setting group is compared with the historical loading step size set, and the step size adjustment amount of the basic loading step size is determined based on the comparison result. If the historical loading step set contains a historical loading step setting group that is the same as the loading step setting group, then the historical loading step setting group corresponding to the historical loading step setting group is used as the step adjustment amount. If there is no historical loading step size setting group that is the same as the loading step size setting group, then the step size adjustment amount is determined according to the loading step size setting group.

6. The tongue muscle function detection system integrating flexible sensing function according to claim 5, characterized in that, When determining the step size adjustment amount according to the loading step size setting group, it includes: The required testing accuracy includes the testing accuracy requirements during the rehabilitation training phase and the testing accuracy requirements for clinical diagnosis. The basic step size adjustment amount is determined based on the aforementioned detection accuracy requirements. The sensitivity is compared with a preset sensitivity range, and the core step size adjustment is determined based on the comparison result; wherein, the preset sensitivity range includes a first sensitivity range, a second sensitivity range, and a third sensitivity range; When the sensitivity is placed in the first sensitivity range, the core step size adjustment amount is determined to be the first core step size adjustment amount; When the sensitivity is placed in the second sensitivity range, the core step size adjustment amount is determined to be the second core step size adjustment amount; When the sensitivity is placed in the third sensitivity range, the core step size adjustment amount is determined to be the third core step size adjustment amount; The step size adjustment is obtained by weighted summing the basic step size adjustment and the core step size adjustment. The sum of the step size adjustment and the basic loading step size is used as the standard force loading step size.

7. The tongue muscle function detection system integrating flexible sensing function according to claim 6, characterized in that, When determining the initial tongue muscle function assessment value of the tongue to be detected based on the first capacitance signal, the following are included: Feature extraction is performed on the first capacitance signal to obtain the maximum capacitance signal, minimum capacitance signal, average capacitance signal, and capacitance signal fluctuation value; Obtain the maximum standard force value, minimum standard force value, and average standard force value corresponding to the maximum capacitance signal, minimum capacitance signal, and average capacitance signal; The baseline resting muscle strength of the tongue to be tested is determined based on the maximum standard force value, the minimum standard force value, and the average standard force value. The initial tongue muscle function assessment value is determined based on the baseline resting muscle strength value and capacitance signal fluctuation value. In determining the baseline resting muscle strength value, the following are included: The maximum standard force value, minimum standard force value, and average standard force value are normalized to obtain the corresponding standard force characteristic value. Construct a resting muscle force feature vector based on the aforementioned standard force feature values; The resting muscle strength feature vector is weighted and fused to obtain the basic resting muscle strength value of the tongue to be tested.

8. The tongue muscle function detection system integrating flexible sensing function according to claim 7, characterized in that, When determining the initial tongue muscle function assessment value based on the baseline resting muscle strength value and capacitance signal fluctuation value, the following are included: The baseline resting muscle strength value is compared with the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is compared with the capacitance signal fluctuation threshold. The initial tongue muscle function assessment value is determined based on the comparison results. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the first tongue muscle function assessment value. When the baseline resting muscle strength value is greater than or equal to the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the second tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is greater than or equal to the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the third tongue muscle function assessment value. When the baseline resting muscle strength value is less than the baseline resting muscle strength threshold, and the capacitance signal fluctuation value is less than the capacitance signal fluctuation threshold, the initial tongue muscle function assessment value is determined to be the fourth tongue muscle function assessment value.

9. The tongue muscle function detection system integrating flexible sensing function according to claim 8, characterized in that, When correcting the initial tongue muscle function assessment value based on the second capacitance signal to obtain the corrected tongue muscle function assessment value, the following steps are included: The second capacitor signal is filtered to obtain a concentrated range of capacitor signals, and the standard force value corresponding to each second capacitor signal in the concentrated range of capacitor signals is obtained. Calculate the standard deviation of all standard force values ​​within the concentrated range of the capacitance signal, and compare the standard deviation with a preset standard deviation threshold; If the standard deviation is less than or equal to a preset standard deviation threshold, then the standard force value within the concentrated interval of the capacitance signal is determined to be the effective motion force value, and the mean of the effective motion force value is calculated as the reference value of the exercise muscle force. If the standard deviation is greater than the preset standard deviation threshold, the concentrated interval of the capacitance signal is segmented, and the standard force value of each segment is compared with the preset standard deviation threshold within the segment. The segments that meet the conditions are selected as effective motion force segments, and the mean of the standard force values ​​within the effective motion force segments is calculated as the reference value of the exercise muscle strength. The rate of change of muscle strength is constructed based on the difference between the reference value of exercise muscle strength and the baseline resting muscle strength value, and the corresponding correction coefficient is determined according to the rate of change interval in which the rate of change of muscle strength falls. The rate of change range includes a weak change range, a moderate change range, and a significant change range, which correspond to the first correction coefficient, the second correction coefficient, and the third correction coefficient, respectively. The corrected tongue muscle function assessment value is obtained by multiplying the initial tongue muscle function assessment value by the corresponding correction coefficient.

10. A method for detecting tongue muscle function integrating flexible sensing, applied to the tongue muscle function detection system integrating flexible sensing as described in any one of claims 1-9, characterized in that, include: Under standard force loading conditions, the standard capacitance signals of the brace-type flexible thin film sensor corresponding to different sensing units are obtained, and a mapping relationship matrix between standard force and standard capacitance signal is established based on multiple sets of standard forces and their corresponding standard capacitance signals. When the tongue to be tested is in a static state, the first capacitance signal output by the brace-type flexible film sensor is collected, and the initial tongue muscle function assessment value of the tongue to be tested is determined based on the first capacitance signal. When the tongue to be detected is in motion, the second capacitance signal output by the brace-type flexible film sensor is acquired, and the initial tongue muscle function assessment value is corrected based on the second capacitance signal to obtain the corrected tongue muscle function assessment value. The mapping matrix, initial tongue muscle function assessment value, and corrected tongue muscle function assessment value are stored and sent to an external terminal via the wireless transmission module.

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