A cervical spondylosis treatment data analysis method

Abstract

The application provides a cervical spondylosis treatment data analysis method, and relates to the technical field of cervical vertebra data analysis.The method comprises the following steps: S1, parameter error analysis; S2, collection accuracy analysis; and S3, data deviation evaluation.The cervical vertebra activity error parameter is obtained by analyzing the first cervical vertebra activity parameter, then the collection accuracy analysis is performed by using the cervical vertebra activity error parameter to determine whether the cervical vertebra activity parameter needs to be corrected, finally, the data deviation evaluation is performed according to the corrected cervical vertebra activity parameter and the standard cervical vertebra activity parameter to determine whether the corrected cervical vertebra activity parameter needs to be output, so that the cervical spondylosis treatment data acquisition accuracy is improved, and the cervical spondylosis treatment data acquisition accuracy problem in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of cervical spine data analysis technology, and in particular to a method for analyzing treatment data of cervical spondylosis. Background Technology

[0002] Cervical spondylosis (cervical type) is a common orthopedic disease. Due to its poor treatment outcomes and high recurrence rate, it severely impacts patients' lives and work, becoming a clinical challenge. The Ling Shu Five-Needle Therapy, originating from the *Ling Shu* (Spiritual Pivot) chapter "Official Needling," uses five needling techniques to regulate the five internal organs, embodying the holistic view of Traditional Chinese Medicine. McKenzie therapy is a biomechanical rehabilitation method for treating spinal pain, widely used worldwide. Cervical spine mobility measurement is an important component of cervical spine health assessment, particularly in the diagnosis, rehabilitation, and sports medicine of cervical spine diseases.

[0003] Existing technologies, such as helmet-mounted measurement methods, assess cervical spine mobility by capturing head movements in real time. However, during data acquisition, patients with severe cervical spondylosis often have limited neck mobility, making it difficult for them to cooperate with the measurement. Additionally, helmet wobbling due to incompatible models can cause unstable or inaccurate dynamic monitoring data. Therefore, there is a need for a data analysis method for cervical spondylosis treatment that improves data quality and addresses the issue of low accuracy in acquiring treatment data for cervical spondylosis. Summary of the Invention

[0004] This invention provides a method for analyzing treatment data of cervical spondylosis. It analyzes first cervical vertebral movement parameters to obtain cervical vertebral movement error parameters, then analyzes the accuracy of data acquisition using these error parameters to determine whether correction is needed. Finally, it evaluates the data deviation between the corrected and standard cervical vertebral movement parameters to determine whether the corrected parameters should be output, ultimately improving the accuracy of data acquisition for cervical spondylosis.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solution:

[0006] A method for analyzing treatment data of cervical spondylosis (cervical type), including:

[0007] S1, Analyze the collected first cervical spine mobility parameters to obtain cervical spine mobility error parameters. The first cervical spine mobility parameters are parameters obtained by measuring the range of motion of the cervical spine in patients with cervical spondylosis using a helmet-mounted cervical spine mobility measurement method. S2, Analyze the accuracy of the collected data using the cervical spine mobility error parameters to determine whether to correct the cervical spine mobility parameters. S3, If cervical spine mobility parameter correction is performed, evaluate the data deviation between the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters to determine whether to output the corrected cervical spine mobility parameters. The corrected cervical spine mobility parameters are the parameters obtained after correcting the first cervical spine mobility parameters.

[0008] Optionally, the first cervical spine mobility parameters include flexion angle, extension angle, left lateral flexion angle, right lateral flexion angle, left rotation angle, and right rotation angle; the cervical spine mobility error parameters include test-retest reliability, cervical spine error extreme value deviation, and parameter deviation degree value; the parameter deviation degree value is obtained by calculating the ratio of the absolute value of the difference between the first cervical spine mobility parameters and the standard cervical spine mobility parameters to the standard cervical spine mobility parameters, representing the degree of deviation between the first cervical spine mobility parameters and the standard cervical spine mobility parameters; the standard cervical spine mobility parameters include standard flexion angle, standard extension angle, standard left lateral flexion angle, standard right lateral flexion angle, standard left rotation angle, and standard right rotation angle.

[0009] Optionally, the specific method for analyzing the accuracy of data acquisition using cervical spine movement error parameters is as follows: The average value of the test-retest reliability is processed to obtain the processed test-retest reliability; the average value of the extreme deviation of the cervical spine error is normalized to obtain the processed extreme deviation of the cervical spine error; the average value of the parameter deviation degree is normalized to obtain the processed parameter deviation degree value; the accuracy weight is obtained from the data acquired from the preset database, and the numerical range of the processed cervical spine movement error parameters is processed to obtain the data acquisition accuracy index; the processed cervical spine movement error parameters include the processed test-retest reliability, the processed extreme deviation of the cervical spine error, and the processed parameter deviation degree value.

[0010] Optionally, the specific method for correcting the cervical spine mobility parameters is as follows: A1, determine whether to remeasure the first cervical spine mobility parameter based on the data acquisition accuracy index and the preset data acquisition accuracy threshold obtained from the preset database; A2, if the data acquisition accuracy index obtained after remeasurement does not meet the preset data acquisition accuracy threshold obtained from the preset database, determine whether to prompt the patient to adjust their sitting posture via voice based on the initial state parameters of the helmet and the preset state parameters obtained from the preset database; otherwise, output the first cervical spine mobility parameter obtained after remeasurement; A3, if the data acquisition accuracy index obtained after prompting the patient to adjust their sitting posture does not meet the preset data acquisition accuracy threshold obtained from the preset database, then correct the first cervical spine mobility parameter. A4. If the accuracy index of the data obtained after the initial state correction does not meet the preset data acquisition accuracy threshold obtained from the preset database, the patient will be prompted to fix the helmet via voice; otherwise, the second cervical spine activity parameter obtained after the initial state correction will be output. A5. If the accuracy index of the data obtained after prompting the patient to fix the helmet does not meet the preset data acquisition accuracy threshold obtained from the preset database, the second cervical spine activity parameter will be corrected a second time to obtain the corrected cervical spine activity parameter; otherwise, the second cervical spine activity parameter obtained after prompting the patient to fix the helmet will be output.

[0011] Optionally, the specific method for determining whether to prompt the patient to adjust their sitting posture via voice based on the initial state parameters of the helmet and the preset state parameters obtained from the preset database is as follows: If the acceleration is within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then the patient is prompted to fix the helmet via voice; if the acceleration is not within the preset acceleration range obtained from the preset database, but the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then feedback is given to a preset person; if the acceleration is within the preset acceleration range obtained from the preset database, but the initial cervical spine parameters are not within the preset initial state cervical spine parameter range obtained from the preset database, then feedback is given to a preset person; if the acceleration is not within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are not within the preset initial state cervical spine parameter range obtained from the preset database, then the patient is prompted to adjust their sitting posture via voice.

[0012] Optionally, the specific method for obtaining the second cervical spine mobility parameter is as follows: The first cervical spine mobility parameter is adjusted using the initial cervical spine parameters to obtain the second cervical spine mobility parameter; the initial cervical spine parameters reflect the degree of deviation between the initial cervical spine state of a patient with cervical spondylosis and the standard cervical spine state; the second cervical spine mobility parameter represents the parameters indicating the range of motion characteristics of a patient with cervical spondylosis when unaffected by the initial cervical spine state; the specific method for obtaining the corrected cervical spine mobility parameter is as follows: Pressure extreme value deviation is obtained by processing the maximum and minimum pressures, and the pressure extreme value deviation represents the degree of influence of the maximum and minimum pressures on the sway compensation factor. Quantitative data is used; the test-retest reliability influence is obtained by processing the test-retest reliability data, which represents the quantitative data of the influence of test-retest reliability on the sway compensation factor; the pressure extreme value deviation, the test-retest reliability influence, and the sway weight obtained from the preset database are smoothed to obtain the sway compensation factor, which is used to correct the error caused by external interference during the measurement process; the sway compensation factor is used to correct the second cervical spine activity parameters to obtain the corrected cervical spine activity parameters; the corrected cervical spine activity parameters represent the parameters of the cervical spine range of motion characteristics of patients with cervical spondylosis who are not affected by the initial cervical spine state and external interference.

[0013] Optionally, the specific method for data deviation assessment is as follows: If the absolute value of the cervical spine deviation is greater than the absolute value of the corrected deviation, a data deviation coefficient is obtained based on the relative deviation relationship between the corrected cervical spine activity parameters and the standard cervical spine activity parameters. The data deviation coefficient represents the quantitative data on the degree of influence of the corrected cervical spine activity parameters and the standard cervical spine activity parameters on the cervical spine activity data deviation assessment value. A correction effectiveness coefficient is obtained by comprehensively analyzing the first cervical spine activity parameters, the corrected cervical spine activity parameters, and the standard cervical spine activity parameters. The correction effectiveness coefficient represents the quantitative data on the degree of influence of the first cervical spine activity parameters, the corrected cervical spine activity parameters, and the standard cervical spine activity parameters on the cervical spine activity data deviation assessment value. The data deviation coefficient and the correction effectiveness coefficient are processed to obtain the cervical spine activity data deviation assessment value. If the absolute value of the cervical spine deviation is not greater than the absolute value of the corrected deviation, the cervical spine activity data deviation assessment value is recorded as 0.

[0014] Optionally, the specific method for determining whether to correct the output of cervical spine activity parameters is as follows: determine whether the cervical spine activity data deviation assessment value is less than a preset deviation threshold obtained from a preset database; if the cervical spine activity data deviation assessment value is less than the preset deviation threshold obtained from the preset database, then the output of cervical spine activity parameters will be corrected; if the cervical spine activity data deviation assessment value is not less than the preset deviation threshold obtained from the preset database, then feedback will be sent to the preset personnel.

[0015] This invention provides a system for analyzing treatment data, such as that for cervical spondylosis, including: a parameter error analysis module, a data acquisition accuracy analysis module, and a data deviation assessment module. The parameter error analysis module analyzes the acquired first cervical spine activity parameters to obtain cervical spine activity error parameters. These first cervical spine activity parameters are parameters obtained by helmet-mounted cervical spine range of motion measurement, reflecting the characteristics of the cervical spine range of motion in patients with cervical spondylosis. The data acquisition accuracy analysis module performs data acquisition accuracy analysis based on the cervical spine activity error parameters to determine whether cervical spine activity parameters need correction. If cervical spine activity parameters need correction, the data deviation assessment module performs data deviation assessment based on the corrected cervical spine activity parameters and standard cervical spine activity parameters to determine whether to output the corrected cervical spine activity parameters. These corrected cervical spine activity parameters are parameters obtained after correcting the first cervical spine activity parameters.

[0016] This invention provides an electronic device, including a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the treatment data analysis method for cervical spondylosis.

[0017] The above technical solution has at least the following advantages compared with the existing technology:

[0018] The cervical spine movement error parameter is obtained by analyzing the first cervical spine movement parameter. Then, the accuracy of the data acquisition is analyzed based on the cervical spine movement error parameter to determine whether the cervical spine movement parameter should be corrected. Finally, the data deviation is evaluated based on the corrected cervical spine movement parameter and the standard cervical spine movement parameter to determine whether the corrected cervical spine movement parameter should be output. This improves the accuracy of the first cervical spine movement parameter, thereby improving the accuracy of data acquisition for the treatment of cervical spondylosis and effectively solving the problem of low accuracy in the acquisition of treatment data for cervical spondylosis in existing technologies.

[0019] The test-retest reliability was processed to obtain the processed test-retest reliability. Then, the extreme deviation of the cervical spine error was processed to obtain the processed extreme deviation of the cervical spine error. Next, the parameter deviation degree value was processed to obtain the processed parameter deviation degree value. Finally, the data acquisition accuracy index was obtained by processing the data acquisition accuracy weight and the processed cervical spine movement error parameters. This quantitatively evaluated the deviation degree between the first cervical spine movement parameters and the standard cervical spine movement parameters, thereby improving the accuracy of the first cervical spine movement parameters.

[0020] By correcting the relative deviation between cervical spine mobility parameters and standard cervical spine mobility parameters, a data deviation coefficient is obtained. Then, a comprehensive analysis is performed based on the first cervical spine mobility parameters, the corrected cervical spine mobility parameters, and the standard cervical spine mobility parameters to obtain a correction effectiveness coefficient. Finally, the data deviation coefficient and the correction effectiveness coefficient are processed to obtain a cervical spine mobility data deviation assessment value, thereby quantitatively assessing the degree of deviation between the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters, and thus improving the effectiveness of the correction process. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0022] Figure 1 This is a flowchart of a treatment data analysis method for cervical spondylosis of the cervical type according to the present invention;

[0023] Figure 2 This is a schematic diagram of the structure of a treatment data analysis system for cervical spondylosis of the cervical type according to the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0025] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an,” “a,” or “the,” and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms “comprising,” “including,” or “including,” and similar terms mean that the element or object preceding the word encompasses the element or object listed following the word and its equivalents, without excluding other elements or objects. The terms “connected,” “linked,” or “connected,” and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0026] It should be noted that the terms "up", "down", "left", "right", "front", and "back" used in this invention are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0027] This invention addresses the problem of low accuracy in acquiring treatment data for cervical spondylosis in the prior art by providing a treatment data analysis method for cervical spondylosis that can improve data quality.

[0028] like Figure 1 The diagram shows a flowchart of a treatment data analysis method for cervical spondylosis of the cervical type, provided by an embodiment of the present invention. This treatment data analysis method for cervical spondylosis of the cervical type includes:

[0029] S1, Parameter error analysis: The collected first cervical spine activity parameters are analyzed to obtain cervical spine activity error parameters. The first cervical spine activity parameters are parameters that reflect the cervical spine range of motion characteristics of patients with cervical spondylosis, obtained by measuring the range of motion of the cervical spine using the helmet-type cervical spine mobility measurement method.

[0030] S2, Accuracy Analysis: Accuracy analysis of data acquisition is performed using cervical spine movement error parameters to determine whether cervical spine movement parameter correction is necessary;

[0031] S3, Data Deviation Assessment: If cervical spine mobility parameters are corrected, a data deviation assessment is performed based on the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters to determine whether to output the corrected cervical spine mobility parameters. The corrected cervical spine mobility parameters are the parameters obtained after correcting the first cervical spine mobility parameters.

[0032] Specifically, the first cervical spine mobility parameters include forward flexion angle, backward extension angle, left lateral flexion angle, right lateral flexion angle, left rotation angle, and right rotation angle; the cervical spine mobility error parameters include test-retest reliability, cervical spine error extreme value deviation, and parameter deviation degree value; the parameter deviation degree value is obtained by calculating the ratio of the absolute value of the difference between the first cervical spine mobility parameters and the standard cervical spine mobility parameters to the standard cervical spine mobility parameters, indicating the degree of deviation between the first cervical spine mobility parameters and the standard cervical spine mobility parameters; the standard cervical spine mobility parameters include standard forward flexion angle, standard backward extension angle, standard left lateral flexion angle, standard right lateral flexion angle, standard left rotation angle, and standard right rotation angle.

[0033] In this embodiment, the unit of the first cervical spine mobility parameter and the standard cervical spine mobility parameter is the same, both in degrees (°). The preset number of times can be set to 3. The helmet-mounted cervical spine mobility measurement method is a method of measuring the range of motion of the cervical spine by wearing a helmet-mounted device. By guiding the patient to perform different cervical spine movements (such as flexion, extension, left and right rotation, etc.), the sensors in the helmet will record the angle and range of movement in real time. The helmet-mounted device is usually equipped with a variety of sensors (such as accelerometers and gyroscopes) for real-time monitoring and recording of the patient's cervical spine movement. The accelerometer and gyroscope can capture the changes in linear acceleration, rotation angle and angular velocity of the head in real time, thereby obtaining the first cervical spine mobility parameter.

[0034] Flexion and extension are the two basic directions of cervical spine mobility, reflecting the cervical spine's ability to move in the sagittal plane. Flexion involves bending the head forward; extension involves extending the head backward. Flexion and extension are opposites, but damage to a part of the cervical spine can affect both the angles of flexion and extension simultaneously.

[0035] Left lateral flexion and right lateral flexion are movements of the cervical spine in the coronal plane, reflecting the head's ability to tilt to the left and right, respectively. Left lateral flexion and right lateral flexion are also opposite to each other. When the structure or soft tissue of one side of the cervical spine is damaged, it may lead to a decrease in the lateral flexion angle on that side.

[0036] Left and right rotation are movements of the cervical spine on the horizontal plane, reflecting the head's ability to rotate to the left and right, respectively. Left and right rotation are also opposites. The rotation of the cervical spine requires the coordinated action of multiple cervical joints. Therefore, when a joint is damaged, it may affect the angle of rotation.

[0037] The flexion angle, extension angle, left lateral flexion angle, right lateral flexion angle, left rotation angle, and right rotation angle are chosen for description because they can comprehensively reflect the cervical spine's mobility in different directions and help assess the functional status of the cervical spine.

[0038] Test-retest reliability is represented by the Pearson product-moment correlation coefficient between any two groups of measurements obtained by performing repeated measurements on patients with the same type of cervical spondylosis using the same helmet-mounted cervical range of motion device before the same treatment. The grouped measurements can be set to be divided into two groups, with each group performing three measurements. For example, the test-retest reliability of forward flexion angle is represented by the Pearson product-moment correlation coefficient between the two groups of measurements obtained by performing repeated measurements on patients with the same type of cervical spondylosis using the same helmet-mounted cervical range of motion device before the same treatment.

[0039] The extreme deviations of cervical spine errors include extreme deviations of forward flexion angle, backward flexion angle, left lateral flexion angle, right lateral flexion angle, left rotation angle, and right rotation angle. The extreme deviations of cervical spine errors are obtained by comparing the difference between the maximum and minimum values ​​of the first cervical spine activity parameter in a preset number of measurements with the standard cervical spine activity parameter. For example, if the forward flexion angles obtained from three measurements are 40°, 35°, and 30°, then the extreme deviation of the forward flexion angle is calculated by comparing the difference between 40° and 30° with the standard cervical spine activity parameter.

[0040] Standard cervical spine mobility parameters are represented by the cervical spine mobility parameters of the patient corresponding to the maximum basic information similarity. Maximum basic information similarity is obtained by calculating the similarity between the patient's basic information and the basic information of any patient in the historical database (e.g., using the Euclidean distance method). For example, the basic information of target patient A is: age: 30, gender: male, weight: 70kg, medical history: none; the basic information of historical patient B is: age: 32, gender: male, weight: 72kg, medical history: none. Calculating the Euclidean distance: For age: |30-32|=2; For weight: |70-72|=2; For gender: |1-1|=0 (gender can be represented by 0 or 1, e.g., male is represented by 1, female by 0); For medical history: |0-0|=0 (presence or absence of medical history can be represented by 0 or 1, e.g., presence of medical history is represented by 1, absence of medical history by 0); Euclidean distance:

[0041] By measuring and analyzing cervical spine mobility parameters through the above steps, abnormalities in these parameters can be detected in a timely manner, improving the accuracy of cervical spine mobility measurement. Furthermore, by using similarity analysis to find historical data that most closely matches the current patient's characteristics, standard parameters that are closer to the patient's actual situation can be used for comparison, further improving the accuracy and personalization of the measurement.

[0042] The specific method for analyzing the accuracy of cervical spine movement error parameters is as follows: The average test-retest reliability is processed to obtain the processed test-retest reliability; the average extreme deviation of cervical spine errors is normalized to obtain the processed extreme deviation of cervical spine errors; the average parameter deviation degree value is normalized to obtain the processed parameter deviation degree value; the accuracy weight is obtained from the data acquired from the preset database, and the numerical range of the processed cervical spine movement error parameters is processed to obtain the data acquisition accuracy index; the processed cervical spine movement error parameters include the processed test-retest reliability (i.e.,...). ), and the extreme deviation of cervical spine error after treatment (i.e. ) and the degree of deviation of the processed parameters (i.e. ).

[0043] The specific constraint expression for the data acquisition accuracy index is as follows:

[0044]

[0045] In the formula, n represents the patient's number, n = 1, 2, ..., N, where N represents the total number of patients; m represents the number of the cervical spine mobility parameters, m = 1, 2, ..., 6, where m = 1 represents the flexion angle, m = 2 represents the extension angle, m = 3 represents the left lateral flexion angle, m = 4 represents the right lateral flexion angle, m = 5 represents the left rotation angle, and m = 6 represents the right rotation angle; HQ n Let α1 represent the accuracy index of data acquisition for the nth patient, α2 represent the accuracy weight of data acquisition for the second patient, and α3 represent the accuracy weight of data acquisition for the third patient. This represents the test-retest reliability of the m-th cervical spine movement parameter in the n-th patient. This represents the extreme value deviation of the error for the m-th cervical spine movement parameter of the n-th patient. This represents the deviation value of the m-th cervical spine movement parameter of the n-th patient.

[0046] In this embodiment, the data acquisition accuracy weights are obtained from a preset database. The first data acquisition accuracy weight represents the influence of test-retest reliability on the data acquisition accuracy index; the second data acquisition accuracy weight represents the influence of cervical spine error extreme value deviation on the data acquisition accuracy index; and the third data acquisition accuracy weight represents the influence of parameter deviation value on the data acquisition accuracy index. The sum of the three is 1. For example, test-retest reliability forms a mapping set with the preset data acquisition accuracy index, and the real-time test-retest reliability is input into the mapping set to obtain the corresponding first data acquisition accuracy weight; cervical spine error extreme value deviation forms a mapping set with the preset data acquisition accuracy index, and the real-time cervical spine error extreme value deviation is input into the mapping set to obtain the corresponding second data acquisition accuracy weight; parameter deviation value forms a mapping set with the preset data acquisition accuracy index, and the real-time parameter deviation value is input into the mapping set to obtain the corresponding third data acquisition accuracy weight. The mapping relationship can be one-to-one or many-to-one.

[0047] The data acquisition accuracy index in this algorithm involves processing multiple independent variables (test-retest reliability, cervical spine error extreme value deviation, and parameter deviation degree value), which are interconnected. A lower test-retest reliability may lead to an increase in cervical spine error extreme value deviation, because test-retest reliability reflects the correlation between two measurements of the first cervical spine mobility parameter. A lower test-retest reliability may result in a greater deviation between the extreme values ​​of the first cervical spine mobility parameter. The magnitude of test-retest reliability directly affects the calculation of the parameter deviation degree value. A lower test-retest reliability makes it easier for differences to appear compared to the standard cervical spine mobility parameter, and the parameter deviation degree value will increase accordingly, indicating a greater deviation between the first cervical spine mobility parameter and the standard cervical spine mobility parameter. A larger parameter deviation degree value suggests a potentially greater error or uncertainty in the measurement process. Reducing the error extreme value deviation helps to lower the parameter deviation degree value, thereby improving the accuracy and reliability of the measurement results.

[0048] Through the above steps, the scales of different parameters are standardized, which facilitates subsequent data processing and comparison, helps to identify errors in the measurement process, and allows for corresponding corrective measures to be taken to improve measurement accuracy. At the same time, the data acquisition accuracy index provides a quantitative evaluation indicator, making the data processing flow more efficient.

[0049] The specific method for correcting cervical spine mobility parameters is as follows: A1, determine whether to remeasure the first cervical spine mobility parameter based on the data acquisition accuracy index and the preset data acquisition accuracy threshold obtained from the preset database; A2, if the data acquisition accuracy index obtained after remeasurement does not meet the preset data acquisition accuracy threshold obtained from the preset database, determine whether to prompt the patient to adjust their sitting posture via voice based on the initial state parameters of the helmet and the preset state parameters obtained from the preset database; otherwise, output the first cervical spine mobility parameter obtained after remeasurement; A3, if the data acquisition accuracy index obtained after prompting the patient to adjust their sitting posture does not meet the preset data acquisition accuracy threshold obtained from the preset database, then correct the first cervical spine mobility parameter. The initial cervical spine mobility parameters are corrected to obtain the second cervical spine mobility parameters; otherwise, the patient will be prompted to adjust their sitting posture to obtain the first cervical spine mobility parameters. A4: If the accuracy index of the data obtained after the initial state correction does not meet the preset data acquisition accuracy threshold obtained from the preset database, the patient will be prompted to fix their helmet via voice; otherwise, the second cervical spine mobility parameters obtained after the initial state correction will be output. A5: If the accuracy index of the data obtained after prompting the patient to fix their helmet does not meet the preset data acquisition accuracy threshold obtained from the preset database, the second cervical spine mobility parameters will be corrected a second time to obtain the corrected cervical spine mobility parameters; otherwise, the patient will be prompted to fix their helmet to output the second cervical spine mobility parameters.

[0050] In this embodiment, the preset data acquisition accuracy threshold is the average of the data acquisition accuracy index over a historical time period; the initial state parameters include acceleration and initial cervical spine parameters; the acceleration is measured using an accelerometer in the helmet-mounted cervical spine mobility measurement method; the initial cervical spine parameters are measured using the helmet-mounted cervical spine mobility measurement method; the units of the second cervical spine mobility parameter, the corrected cervical spine mobility parameter, and the first cervical spine mobility parameter are consistent, all in degrees (°); adjusting the sitting posture is to ensure that the patient is in the correct position during the measurement process, reducing data deviation caused by improper sitting posture; fixing the helmet is to ensure that the contact position between the helmet and the patient's head is correct, avoiding inaccurate data due to the helmet being loose or moving; through multiple correction steps, the accuracy of the cervical spine mobility parameters is ensured, reducing the influence of external factors (such as improper sitting posture or incorrect helmet wearing) on ​​the data; through voice prompts and step-by-step adjustments, the patient can clearly understand how to adjust their sitting posture or wear the helmet, thereby reducing inconvenience caused by improper operation, improving the patient's treatment participation and cooperation, and helping to improve the accuracy of treatment data analysis for cervical spondylosis.

[0051] The specific method for determining whether to prompt the patient to adjust their posture via voice based on the helmet's initial state parameters and preset state parameters obtained from a preset database is as follows: Determine whether the acceleration is within the preset acceleration range obtained from the preset database, and whether the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database. If both the acceleration and initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then prompt the patient to secure the helmet via voice. If the acceleration is not within the preset acceleration range obtained from the preset database, but the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then provide feedback to the preset personnel. If both the acceleration and initial cervical spine parameters are not within the preset initial state cervical spine parameter range obtained from the preset database, then prompt the patient to adjust their posture via voice.

[0052] In this embodiment, the units for acceleration and the preset acceleration range are the same, both being m / s². 2The units for the initial cervical spine parameters and the preset initial state cervical spine parameter ranges are consistent, both in degrees (°). The preset initial state cervical spine parameter range is set according to specific application requirements; for example, the preset initial state cervical spine parameter range is between -1° and 1°. The preset acceleration range is also set according to specific application requirements; for example, for general acceleration measurement equipment, the error in a static state should be controlled within 0.03 times the gravitational acceleration, with a preset acceleration range of 9.52 m / s². 2 Up to 10.10 m / s 2 between.

[0053] By ensuring the helmet is worn stably and the patient's cervical spine is in a normal position during measurement, measurement errors caused by equipment or patient factors can be reduced. When abnormal acceleration or initial cervical spine parameters are detected, the system can promptly provide feedback to the preset personnel or prompt the patient to adjust their sitting posture, thereby identifying and resolving problems in a timely manner, avoiding misleading measurement results, and improving the accuracy of data acquisition. Through voice prompts and feedback mechanisms, the system can interact with users (patients and preset personnel), enhancing user experience and satisfaction.

[0054] The specific method for obtaining the second cervical vertebral movement parameters is as follows: the first cervical vertebral movement parameters are adjusted using the initial cervical vertebral parameters to obtain the second cervical vertebral movement parameters; the initial cervical vertebral parameters are used to reflect the degree of deviation between the initial cervical vertebral state of the patient with cervical spondylosis and the standard cervical vertebral state; the second cervical vertebral movement parameters represent the parameters of the cervical vertebral range of motion characteristics of the patient with cervical spondylosis when the initial cervical vertebral state does not affect it.

[0055] The specific method for obtaining the corrected cervical spine mobility parameters is as follows: The pressure extreme value deviation is obtained by processing the maximum and minimum pressures; this deviation represents the quantitative data of the combined influence of maximum and minimum pressures on the sway compensation factor. The test-retest reliability influence is obtained by processing the test-retest reliability data; this influence represents the quantitative data of the influence of test-retest reliability on the sway compensation factor. The pressure extreme value deviation (i.e....) ), the degree of influence of test-retest reliability (i.e. The sway compensation factor is obtained by smoothing the sway weights obtained from the preset database. The sway compensation factor is used to correct the error caused by external interference during the measurement process. The sway compensation factor is used to correct the second cervical vertebra activity parameters to obtain the corrected cervical vertebra activity parameters. The corrected cervical vertebra activity parameters represent the cervical vertebra activity range characteristics of patients with cervical spondylosis when they are not affected by the initial cervical vertebra state and external interference.

[0056] Specifically, the method for obtaining the sway compensation factor is as follows:

[0057]

[0058] In the formula, n represents the patient's number, n = 1, 2, ..., N, where N represents the total number of patients; m represents the number of the cervical spine mobility parameters, m = 1, 2, ..., 6, where m = 1 represents the flexion angle, m = 2 represents the extension angle, m = 3 represents the left lateral flexion angle, m = 4 represents the right lateral flexion angle, m = 5 represents the left rotation angle, and m = 6 represents the right rotation angle; HD n YL represents the sway compensation factor for the nth patient, β1 represents the first sway weight, β2 represents the second sway weight, and YL represents the sway compensation factor for the nth patient. n.maxav YL represents the maximum pressure of the nth patient. n.min This represents the minimum pressure of the nth patient. This represents the test-retest reliability of the m-th cervical spine movement parameter for the n-th patient.

[0059] In this embodiment, the pressure is acquired by a pressure sensor, and the maximum and minimum pressures are obtained by statistical analysis. The unit of pressure is Newton (N). The second cervical spine activity parameter is obtained by performing a difference calculation between the first cervical spine activity parameter and the initial cervical spine parameter. The corrected cervical spine activity parameter is obtained by multiplying the sway compensation factor and the second cervical spine activity parameter.

[0060] The sway weights are obtained from a preset database. The first sway weight represents the influence of maximum and minimum pressure on the sway compensation factor, and the second sway weight represents the influence of test-retest reliability on the sway compensation factor. The sum of the two is 1. For example, maximum and minimum pressure form a mapping set with the preset sway compensation factor. Inputting the real-time maximum and minimum pressure into the mapping set yields the corresponding first sway weight. Similarly, test-retest reliability forms a mapping set with the preset sway compensation factor. Inputting the real-time test-retest reliability into the mapping set yields the corresponding second sway weight. The mapping relationship can be one-to-one or many-to-one.

[0061] Initial cervical spine parameters reflect the patient's initial cervical spine state, and the first cervical spine mobility parameter is measured based on this. Therefore, the initial cervical spine parameters may affect the measured value of the first cervical spine mobility parameter. The sway compensation factor in this algorithm involves processing multiple independent variables (pressure and test-retest reliability), and these independent variables have interrelationships. Both the pressure extreme value deviation and the influence of test-retest reliability reflect the impact of helmet sway on the measurement. A larger pressure extreme value deviation indicates that the helmet may be in a swaying state or the contact with the patient's head may be uneven, which may lead to fluctuations in cervical spine mobility parameters. Therefore, helmet sway directly reduces test-retest reliability, which means that the fluctuation of the first cervical spine mobility parameter increases, and the instability of the data increases. The pressure extreme value deviation directly reflects the physical effect of sway, while the influence of test-retest reliability indirectly assesses the fluctuation of sway through statistical methods, and together they determine the magnitude of the sway compensation factor.

[0062] By considering the influence of the initial cervical spine state and external interference, and by correcting the first cervical spine mobility parameters, more accurate second cervical spine mobility parameters and corrected cervical spine mobility parameters can be obtained. This ensures that the corrected cervical spine mobility parameters can eliminate the interference of various external factors (such as posture, helmet sway, etc.) on the data to the greatest extent, thereby improving the accuracy of data acquisition. The corrected cervical spine mobility parameters can also serve as an objective evaluation indicator of treatment effect, thereby improving the accuracy of treatment data analysis.

[0063] The specific method for data deviation assessment is as follows: Determine whether the absolute value of the cervical spine deviation is greater than the corrected absolute value: Cervical spine deviation absolute value (i.e., ... This represents the absolute value of the deviation between the first cervical vertebra's mobility parameters and the standard cervical vertebra's mobility parameters, and the corrected absolute value of the deviation (i.e., ...). The value represents the absolute value of the deviation between the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters. If the absolute value of the cervical spine deviation is greater than the absolute value of the corrected deviation, then the data deviation coefficient (i.e., ...) is obtained based on the relative deviation relationship between the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters. The data deviation coefficient represents the quantitative data indicating the combined influence of the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters on the cervical spine mobility data deviation assessment value. The corrected effective coefficient (i.e., ...) is obtained through comprehensive analysis of the first cervical spine mobility parameter, the corrected cervical spine mobility parameter, and the standard cervical spine mobility parameter. The corrected effective coefficient represents the quantitative data on the degree of influence of the first cervical vertebra activity parameter, the corrected cervical vertebra activity parameter, and the standard cervical vertebra activity parameter on the cervical vertebra activity data deviation assessment value. The data deviation coefficient and the corrected effective coefficient are processed to obtain the cervical vertebra activity data deviation assessment value. If the absolute value of the cervical deviation is not greater than the absolute value of the corrected deviation, the cervical vertebra activity data deviation assessment value is recorded as 0.

[0064] The specific constraint expression for the cervical spine mobility data deviation assessment value is as follows:

[0065]

[0066] In the formula, n represents the patient's number, n = 1, 2, ..., N, where N represents the total number of patients; m represents the number of the cervical spine movement parameters, m = 1, 2, ..., 6, where m = 1 represents the flexion angle, m = 2 represents the extension angle, m = 3 represents the left lateral flexion angle, m = 4 represents the right lateral flexion angle, m = 5 represents the left rotation angle, and m = 6 represents the right rotation angle; PC n This represents the deviation assessment value of the cervical spine mobility data of the nth patient. This represents the m-th corrected cervical spine mobility parameter for the n-th patient. This represents the standard cervical spine mobility parameters of the nth patient. This represents the first cervical vertebral movement parameter of the nth patient.

[0067] In this embodiment, if the absolute value of the cervical spine deviation is not greater than the absolute value of the correction deviation, it indicates that the correction effect of the cervical spine mobility parameters is not good.

[0068] In this algorithm, the cervical spine mobility data deviation assessment value is obtained by processing multiple independent variables (first cervical spine mobility parameter, corrected cervical spine mobility parameter, and standard cervical spine mobility parameter), and these independent variables have interrelationships. The absolute value of the corrected deviation is usually expected to be smaller than the absolute value of the cervical spine deviation, indicating the effectiveness of the correction process. If the data deviation coefficient increases, it indicates that the deviation between the corrected cervical spine mobility parameter and the standard cervical spine mobility parameter has increased, which may indicate that the correction effect of the cervical spine mobility parameter is not good. An increase in the data deviation coefficient leads to a decrease in the correction effectiveness coefficient, indicating that the correction effect of the cervical spine mobility parameter is not good.

[0069] By correcting cervical spine mobility parameters, errors caused by the initial cervical spine state and external interference can be reduced, thereby improving the accuracy of the data. Through the above steps, the degree of deviation between the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters is quantitatively evaluated, ensuring the accuracy of the first cervical spine mobility parameters and the effectiveness of the correction process.

[0070] The specific method for determining whether to correct the output of cervical spine activity parameters is as follows: Determine whether the cervical spine activity data deviation assessment value is less than the preset deviation threshold obtained from the preset database: If the cervical spine activity data deviation assessment value is less than the preset deviation threshold obtained from the preset database, then the cervical spine activity parameter output will be corrected; if the cervical spine activity data deviation assessment value is not less than the preset deviation threshold obtained from the preset database, then feedback will be sent to the preset personnel.

[0071] In this embodiment, the preset deviation threshold is represented by the average value of the deviation assessment value of cervical spine activity data within a historical time period. Through the above method, the accuracy and reliability of cervical spine activity data can be effectively judged. If the data is accurate and reliable, the corrected cervical spine activity parameters are output, which helps in subsequent analysis, diagnosis or treatment. If there are problems with the data, feedback is promptly given to relevant personnel so that measures can be taken to correct or adjust it, thereby avoiding possible misjudgment.

[0072] like Figure 2The diagram shows a structural schematic of a data analysis system for the treatment of cervical spondylosis (cervical type) provided in an embodiment of the present invention. The system includes a parameter error analysis module, a data acquisition accuracy analysis module, and a data deviation assessment module. The parameter error analysis module analyzes the acquired first cervical spine activity parameters to obtain cervical spine activity error parameters. These first cervical spine activity parameters are parameters obtained by measuring cervical spine mobility using a helmet-mounted cervical spine range of motion method, reflecting the characteristics of the cervical spine range of motion in patients with cervical spondylosis. The data acquisition accuracy analysis module performs data acquisition accuracy analysis based on the cervical spine activity error parameters to determine whether cervical spine activity parameters need to be corrected. The data deviation assessment module, if cervical spine activity parameters need to be corrected, performs data deviation assessment based on the corrected cervical spine activity parameters and the standard cervical spine activity parameters to determine whether to output the corrected cervical spine activity parameters. The corrected cervical spine activity parameters are parameters obtained after correcting the first cervical spine activity parameters.

[0073] In addition, an embodiment of the present invention also provides an electronic device, which includes a memory for storing computer program instructions and a processor for executing the program instructions. When the computer program instructions are executed by the processor, the electronic device is triggered to execute a treatment data analysis method for cervical spondylosis.

[0074] In this embodiment, cervical spondylosis of the cervical type is a type of cervical spondylosis, mainly manifested as symptoms such as neck pain, stiffness, and limited mobility. It is usually caused by damage or strain to soft tissues such as neck muscles, ligaments, and joint capsules. In this embodiment, the treatment data for cervical spondylosis of the cervical type refers to the first cervical vertebra activity parameters. Through the parameter error analysis module, the data acquisition accuracy analysis module, and the data deviation evaluation module, the cervical vertebra activity parameters can be accurately analyzed and corrected, which helps to improve the accuracy and reliability of the cervical vertebra activity parameters, thereby providing more accurate data support for the treatment analysis of cervical spondylosis of the cervical type.

[0075] In summary, this embodiment of the invention analyzes the first cervical spine activity parameters to obtain cervical spine activity error parameters, then analyzes the accuracy of data acquisition using the cervical spine activity error parameters to determine whether to correct the cervical spine activity parameters, and finally evaluates the data deviation between the corrected cervical spine activity parameters and the standard cervical spine activity parameters to determine whether to output the corrected cervical spine activity parameters. This improves the accuracy of data acquisition for the treatment of cervical spondylosis.

[0076] The following points need to be explained:

[0077] (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0078] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the present invention; that is, these drawings are not drawn to actual scale. It is understood that when an element such as a layer, film, region, or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element, or there may be intermediate elements.

[0079] (3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0080] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for analyzing treatment data of cervical spondylosis, characterized in that, include: S1, Analyze the collected first cervical spine activity parameters to obtain cervical spine activity error parameters. The first cervical spine activity parameters are parameters that reflect the cervical spine range of motion characteristics of patients with cervical spondylosis, obtained by measuring the range of motion of the cervical spine using the helmet-type cervical spine mobility measurement method. S2, the accuracy of cervical spine movement error parameters is analyzed to determine whether cervical spine movement parameters need to be corrected; The specific method for analyzing the accuracy of data collection using cervical spine movement error parameters is as follows: The mean of the test-retest reliability is processed to obtain the processed test-retest reliability; the mean of the extreme deviation of the cervical spine error is normalized to obtain the processed extreme deviation of the cervical spine error. The average value of the parameter deviation is normalized to obtain the processed parameter deviation value. The data acquisition accuracy index is obtained by processing the numerical range of data obtained from the preset database, including accurate weights and cervical spine movement error parameters after processing. The post-processing cervical spine mobility error parameters include post-processing test-retest reliability. Extreme deviation of cervical spine error after treatment And the degree of deviation of the processed parameters The specific expression for the data acquisition accuracy index is: In the formula, n represents the patient's number, n = 1, 2, ..., N, where N represents the total number of patients; m represents the number of the cervical spine mobility parameters, m = 1, 2, ..., 6, where m = 1 represents the flexion angle, m = 2 represents the extension angle, m = 3 represents the left lateral flexion angle, m = 4 represents the right lateral flexion angle, m = 5 represents the left rotation angle, and m = 6 represents the right rotation angle; HQ n Let α1 represent the accuracy index of data acquisition for the nth patient, α2 represent the accuracy weight of data acquisition for the second patient, and α3 represent the accuracy weight of data acquisition for the third patient. This represents the test-retest reliability of the m-th cervical spine movement parameter in the n-th patient. This represents the extreme value deviation of the error for the m-th cervical spine movement parameter of the n-th patient. This represents the deviation value of the m-th cervical spine movement parameter of the n-th patient; S3. If cervical spine mobility parameters are corrected, a data deviation assessment is performed based on the corrected cervical spine mobility parameters and the standard cervical spine mobility parameters to determine whether to output the corrected cervical spine mobility parameters. The corrected cervical spine mobility parameters are the parameters obtained after correcting the first cervical spine mobility parameters.

2. The method for analyzing treatment data of cervical spondylosis according to claim 1, characterized in that, The first cervical spine mobility parameters include forward flexion angle, backward extension angle, left lateral flexion angle, right lateral flexion angle, left rotation angle, and right rotation angle; The cervical spine mobility error parameters include test-retest reliability, cervical spine error extreme value deviation, and parameter deviation degree value; The parameter deviation value is obtained by calculating the ratio of the absolute value of the difference between the first cervical spine activity parameter and the standard cervical spine activity parameter to the standard cervical spine activity parameter, and represents the degree of deviation between the first cervical spine activity parameter and the standard cervical spine activity parameter. The standard cervical spine mobility parameters include standard forward flexion angle, standard backward flexion angle, standard left lateral flexion angle, standard right lateral flexion angle, standard left rotation angle, and standard right rotation angle.

3. The method for analyzing treatment data of cervical spondylosis according to claim 1, characterized in that, If cervical spine mobility parameters are to be corrected, the specific method for evaluating the data deviation between the corrected and standard cervical spine mobility parameters to determine whether to output the corrected cervical spine mobility parameters is as follows: A1. Determine whether to remeasure the first cervical vertebra activity parameters based on the accuracy index obtained from the data and the accuracy threshold obtained from the preset data obtained from the preset database. A2. If the accuracy index of the data obtained after remeasurement does not meet the preset data acquisition accuracy threshold obtained from the preset database, then based on the initial state parameters of the helmet and the preset state parameters obtained from the preset database, it is determined whether to prompt the patient to adjust their sitting posture via voice. Otherwise, the first cervical spine activity parameters obtained after remeasurement will be output. A3. If the patient is prompted that the accuracy index of the data obtained after adjusting the sitting posture does not meet the preset data acquisition accuracy threshold obtained from the preset database, the initial state of the first cervical spine activity parameter is corrected to obtain the second cervical spine activity parameter; otherwise, the patient will be prompted to output the first cervical spine activity parameter obtained after adjusting the sitting posture. A4. If the data acquisition accuracy index obtained after the initial state correction does not meet the preset data acquisition accuracy threshold obtained from the preset database, the patient will be prompted to fix the helmet via voice. Otherwise, the second cervical spine activity parameters obtained after the initial state correction will be output. A5. If the system prompts the patient that the accuracy index of the data obtained after fixing the helmet does not meet the preset data acquisition accuracy threshold obtained from the preset database, then the second cervical spine activity parameters will be corrected a second time to obtain the corrected cervical spine activity parameters; otherwise, the system will prompt the patient to output the second cervical spine activity parameters obtained after fixing the helmet.

4. The method for analyzing treatment data of cervical spondylosis according to claim 3, characterized in that, The specific method for determining whether to prompt the patient to adjust their sitting posture via voice based on the initial state parameters of the helmet and the preset state parameters obtained from the preset database is as follows: If the acceleration is within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then the patient will be prompted to fix the helmet via voice. If the acceleration is not within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are within the preset initial state cervical spine parameter range obtained from the preset database, then feedback will be sent to the preset personnel. If the acceleration is within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are not within the preset initial state cervical spine parameter range obtained from the preset database, then feedback will be sent to the preset personnel. If the acceleration is not within the preset acceleration range obtained from the preset database, and the initial cervical spine parameters are not within the preset initial state cervical spine parameter range obtained from the preset database, the patient will be prompted to adjust their sitting posture via voice.

5. The method for analyzing treatment data of cervical spondylosis according to claim 3, characterized in that, The specific method for obtaining the second cervical vertebral mobility parameters is as follows: The second cervical spine mobility parameters are obtained by adjusting the first cervical spine mobility parameters based on the initial cervical spine parameters. The initial cervical spine parameters are used to reflect the degree of deviation between the initial cervical spine state and the standard cervical spine state in patients with cervical spondylosis. The second cervical spine mobility parameter represents the range of motion characteristics of a patient with cervical spondylosis of the cervical type when the initial cervical spine state is not affected. The specific method for obtaining the corrected cervical spine mobility parameters is as follows: The pressure extreme value deviation is obtained by processing the maximum and minimum pressures. The pressure extreme value deviation represents the quantitative data of the degree of influence of the maximum and minimum pressures on the sway compensation factor. The degree of influence of test-retest reliability is obtained by processing the test-retest reliability, which represents the quantitative data of the influence of test-retest reliability on the sway compensation factor. The sway compensation factor is obtained by smoothing the pressure extreme value deviation, the degree of influence of retest reliability, and the sway weight obtained from the preset database. The sway compensation factor is used to correct the error caused by external interference during the measurement process. The corrected cervical spine activity parameters are obtained by correcting the second cervical spine activity parameters using a sway compensation factor. The modified cervical spine mobility parameters represent the range of motion characteristics of cervical spine in patients with cervical spondylosis when they are not affected by the initial cervical spine state or external interference.

6. The method for analyzing treatment data of cervical spondylosis according to claim 1, characterized in that, The specific method for data deviation assessment is as follows: If the absolute value of the cervical spine deviation is greater than the absolute value of the corrected deviation, then the data deviation coefficient is obtained based on the relative deviation relationship between the corrected cervical spine activity parameters and the standard cervical spine activity parameters. The data deviation coefficient represents the quantitative data of the degree of influence of the corrected cervical spine activity parameters and the standard cervical spine activity parameters on the cervical spine activity data deviation assessment value. The correction effectiveness coefficient is obtained by comprehensively analyzing the first cervical vertebra activity parameters, the corrected cervical vertebra activity parameters, and the standard cervical vertebra activity parameters. The correction effectiveness coefficient represents the quantitative data of the degree of influence of the first cervical vertebra activity parameters, the corrected cervical vertebra activity parameters, and the standard cervical vertebra activity parameters on the deviation evaluation value of cervical vertebra activity data. The deviation value of cervical spine activity data is obtained by processing the data deviation coefficient and the correction effective coefficient; If the absolute value of the cervical spine deviation is not greater than the absolute value of the corrected deviation, then the cervical spine activity data deviation assessment value is recorded as 0.

7. The method for analyzing treatment data of cervical spondylosis according to claim 6, characterized in that, The specific method for determining whether to correct the cervical spine mobility parameter output is as follows: Determine whether the deviation assessment value of cervical spine mobility data is less than a preset deviation threshold obtained from a preset database: If the deviation assessment value of the cervical spine activity data is less than the preset deviation threshold obtained from the preset database, the output of the cervical spine activity parameters will be corrected. If the deviation assessment value of the cervical spine activity data is not less than the preset deviation threshold obtained from the preset database, feedback will be sent to the preset personnel.

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