WO2020177447A1 - 一种女性盆底功能障碍评估方法及其系统 - Google Patents

一种女性盆底功能障碍评估方法及其系统 Download PDF

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WO2020177447A1
WO2020177447A1 PCT/CN2019/126795 CN2019126795W WO2020177447A1 WO 2020177447 A1 WO2020177447 A1 WO 2020177447A1 CN 2019126795 W CN2019126795 W CN 2019126795W WO 2020177447 A1 WO2020177447 A1 WO 2020177447A1
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pelvic floor
muscle
data
time
muscle strength
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PCT/CN2019/126795
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English (en)
French (fr)
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陆敏华
胡丽霞
毛睿
陈思平
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深圳大学
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments

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  • the invention relates to the technical field of pelvic floor muscle movement analysis, in particular to a method and system for evaluating female pelvic floor dysfunction.
  • Female pelvic floor dysfunction (female pelvic flour dysfunction, FPFD) is a common disease in middle-aged and elderly women that causes abnormal pelvic floor organ position and function due to damage to the pelvic floor support structure. The main manifestations are: stress urinary incontinence, Pelvic organ prolapse and sexual dysfunction. It has become one of the five common chronic diseases that threaten women's health, and it is a social health issue that has received increasing attention on a global scale. Although FPFD is not life threatening, it seriously affects women's social activities, physical and mental health and quality of life. Epidemiological investigations show that pregnancy and childbirth are independent risk factors for FPFD.
  • the existing hammock theory the "three levels of vagina support” theory, divides the fascia, ligaments, connective tissue, and pelvic floor muscles that support the vagina into upper, middle, and lower levels to support the pelvic floor.
  • the levator muscle group is the most important support structure among the three supporting levels of the pelvic floor. Once relaxation or damage occurs, the pelvic organs will not be able to maintain their normal positions, resulting in pelvic floor dysfunction diseases such as pelvic floor organ prolapse.
  • the prerequisite for the prevention and treatment of pelvic floor dysfunction diseases is timely detection and accurate diagnosis.
  • the main basis for clinical diagnosis of pelvic floor dysfunction diseases is the results of gynecological examinations.
  • the existing pelvic floor muscle assessment methods include palpation, intravaginal pressure test, electromyography test and imaging technology, which have their own advantages and limitations.
  • vaginal palpation is a method widely used by physiotherapists to assess the contraction ability of the pelvic floor muscles. The tester directly feels the muscle strength of vaginal contraction through digital examination, combined with the Oxford scoring system The muscles are graded and scored.
  • the vaginal palpation method is perceptual, simple, and commonly used; but subjectively judged by the tester, the diagnostician needs to have skilled experience, so it has certain measurement errors.
  • the intravaginal pressure test evaluates the muscles by measuring the squeezing force of the muscles, mainly for muscle strength. This method is susceptible to interference from the strength of other muscle groups and cannot locate which muscle is the problem.
  • the EMG test evaluates the muscle by measuring the potential activity of the muscle, which includes needle electrodes and surface electrodes.
  • the surface electrode collects the overall EMG signal of the muscle group and cannot specifically locate a single muscle; the needle electrode can test a single muscle, but it is strongly invasive and is poorly tolerated by clinical patients.
  • ultrasound imaging technology magnetic resonance imaging technology and X-ray imaging technology can image the anatomical structure and morphological position of the pelvic floor muscles, and evaluate them indirectly by measuring the area of the pelvic diaphragm and other quantitative parameters.
  • Ultrasonic measurement of the lateral and longitudinal displacements of the inner urethral orifice relative to the posterior lower edge of the pubic symphysis when the levator ani muscle is from resting to maximum contraction is used to indirectly evaluate the mobility of the subject's levator ani.
  • the above-mentioned methods for evaluating the mechanical properties of pelvic floor muscles are subjective or invasive (ie with trauma).
  • the acquired evaluation parameters cannot quantitatively reflect the biomechanical properties of the pelvic floor muscles, and the detection accuracy of pelvic floor muscle strength is low. .
  • the purpose of the present invention is to provide a method and system for assessing female pelvic floor dysfunction, so as to solve the problem of low accuracy in detecting pelvic floor muscle strength by the existing pelvic floor muscle assessment methods problem.
  • a method for evaluating female pelvic floor dysfunction which includes
  • Step A Obtain real-time muscle strength data and pelvic floor muscle anatomical structure image data during the test;
  • Step B Synchronously collect muscle strength data and pelvic floor muscle anatomical structure image data
  • Step C Calculate the time-varying displacement curve of the characteristic points of the region of interest on the pelvic floor muscle according to the image data of the pelvic floor muscle anatomy;
  • Step D Calculate the curve of vaginal muscle strength with time according to the muscle strength data, and calculate the displacement curve of muscle deformation with time according to the displacement curve.
  • obtaining the muscle strength data of the pelvic floor muscles in real time specifically includes:
  • Step A1 Obtain the female pelvic floor muscle strength through the pressure detection module, and convert the female pelvic floor muscle strength into corresponding pressure signal output;
  • Step A2 The data processing module performs signal processing on the pressure signal, converts it into a waveform diagram for display, and outputs muscle strength data.
  • the step B specifically includes:
  • the image acquisition card collects the image data of the pelvic floor muscle anatomy at each preset time point, and marks the collected time point and the collected image data of the pelvic floor muscle anatomy in a one-to-one correspondence; the data acquisition card is in each preset time point. Set the time point to collect the muscle strength data, and mark the collected time point and the collected muscle strength data one-to-one.
  • a movement tracking algorithm is used to establish the displacement curve of each region of interest of the pelvic floor muscle over time.
  • the displacement curve of the characteristic points of the area of interest on the pelvic floor muscle is calculated over time
  • the step C specifically includes:
  • Step C1 tracking the displacement fields of the first feature point and the second feature point of the region of interest in the nth frame and the n+2th frame image in the pelvic floor muscle anatomical structure image data;
  • Step C2 Compare the image of the nth frame and the n+2th frame, and calculate the displacement curve of the first feature point and the second feature point in the displacement field over time.
  • the first feature point is an even point close to the pubis that divides the puborectal muscle into three evenly
  • the second feature point is an average point that divides the puborectal muscle into three evenly. Another equal point of the segment near the rectum.
  • a system for implementing the method for evaluating female pelvic floor dysfunction which includes:
  • Vaginal muscle strength acquisition device for real-time acquisition of pelvic floor muscle strength data during testing
  • Pelvic floor muscle imaging device for real-time acquisition of pelvic floor muscle anatomical structure image data during testing
  • Data acquisition device for synchronous acquisition of muscle strength data and pelvic floor muscle anatomical structure image data
  • a PC is used to calculate the time-varying displacement curve of the characteristic points of the region of interest on the pelvic floor muscle according to the image data of the pelvic floor muscle anatomy; calculate the time-varying curve of vaginal muscle force according to the muscle strength data, and calculate according to the displacement curve The displacement curve of muscle deformation with time.
  • the vaginal muscle strength collection device includes:
  • Pressure detection module used to obtain female pelvic floor muscle strength, and convert female pelvic floor muscle strength into corresponding pressure signal output
  • the data processing module is used to process the pressure signal, convert it into a waveform diagram for display, and output muscle strength data.
  • the data collection device includes:
  • the image acquisition card is used to collect the image data of the pelvic floor muscle anatomy at each preset time point, and mark the collected time points and the collected pelvic floor muscle anatomy image data one-to-one;
  • the data acquisition card is used to collect muscle strength data at each of the preset time points, and mark the collected time points in a one-to-one correspondence with the collected muscle strength data.
  • the method and system for assessing female pelvic floor dysfunction can obtain muscle strength data and pelvic floor muscle anatomical structure image data in real time during testing;
  • the anatomical structure image data is collected synchronously; according to the pelvic floor muscle anatomical structure image data, the displacement curve of the characteristic points of the region of interest on the pelvic floor muscle is calculated with time; according to the muscle strength data, the curve of vaginal muscle strength with time is calculated, according to The displacement curve calculates the displacement curve of the muscle deformation with time.
  • Fig. 1 is a flowchart of a method for assessing female pelvic floor dysfunction provided by the present invention.
  • Figure 2 is a structural block diagram of the system for evaluating female pelvic floor dysfunction provided by the present invention.
  • Figure 3 is a schematic diagram of the pressure detection module in the system for assessing female pelvic floor dysfunction provided by the present invention.
  • Figure 4 is a graph showing changes in vaginal muscle strength over time during rapid contraction of the present invention.
  • Figure 5 is a graph showing changes in vaginal muscle strength with time during slow contraction of the present invention.
  • Fig. 6 is a schematic diagram of the displacement curve of the muscle deformation with time on the radial displacement of two characteristic points during rapid contraction of the present invention.
  • Fig. 7 is a schematic diagram of the displacement curve of the tangential displacement of the two characteristic points of the present invention with time.
  • Fig. 8 is a schematic diagram of the displacement curve of the change of muscle deformation with time on the radial displacement of two characteristic points during slow contraction of the present invention.
  • Fig. 9 is a schematic diagram of the displacement curve of the tangential displacement of the two characteristic points of the present invention as a function of time.
  • the present invention provides a method and system for evaluating female pelvic floor dysfunction, which can perform non-invasive and real-time evaluation of pelvic floor muscle contraction strength during testing, quantitatively evaluate the biomechanical properties of soft tissues, and provide accurate assessment of female pelvic floor dysfunction The basis for judgment.
  • the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
  • the method for evaluating female pelvic floor dysfunction includes:
  • S300 Calculate the time-varying displacement curve of the characteristic points of the region of interest on the pelvic floor muscle according to the image data of the pelvic floor muscle anatomy;
  • S400 Calculate the curve of vaginal muscle strength with time according to the muscle strength data, and calculate the displacement curve of muscle deformation with time according to the displacement curve.
  • This embodiment can quantitatively evaluate the biomechanical properties of soft tissues (particularly pelvic floor muscles), mainly based on two parameters, namely, muscle force applied actively or passively during muscle movement, and the amount of muscle deformation or displacement.
  • two parameters namely, muscle force applied actively or passively during muscle movement, and the amount of muscle deformation or displacement.
  • the muscle strength data (that is, the value of muscle strength) is acquired in real time through the vaginal muscle strength acquisition device 1.
  • the vaginal muscle strength acquisition device 1 includes a pressure detection module 11 and a data processing module 12, the pressure detection module is connected to the data processing module; the pressure detection module obtains female pelvic floor muscle strength, and the female The pelvic floor muscle strength is converted into a corresponding pressure signal for output, and the data processing module performs signal processing on the pressure signal, converts it into a waveform graph display (curves real-time display of pressure changes) and outputs muscle strength data.
  • the data processing module 12 is set in a PC (Personal Computer) machine.
  • the pressure detection module 11 includes a balloon 110, a first tube 121, a second tube 122, a three-way valve 130 and a receiving box 140 for placing a pressure sensor.
  • the injection port a of the balloon 110 is connected to one end of the first tube 121, the other end of the first tube 121 is connected to one end of the second tube 122 through the receiving box 140, and the other end of the second tube 122 is connected to the first end of the three-way valve 130.
  • the airbag 110 After the syringe is inserted into the third valve port 3 to fill the airbag 110 with gas or liquid, the airbag 110 is placed in the vagina to contact its muscles. When the pelvic floor muscles contract, the airbag 110 is squeezed to cause its internal pressure to change. To obtain the same pressure change, the pressure in the receiving box 140 is detected by the data acquisition part of the pressure sensor (the relevant pressure sensing device), so as to convert the squeezing force of the muscle into the squeezing force of the airbag 110, thereby obtaining indirectly The strength of the pelvic floor muscles. The pressure signal obtained by the pressure sensor is transmitted to the data processing module 12 through the data line 301 for corresponding processing to obtain muscle strength data.
  • the foregoing implementation method is simple, and will not cause wounds and pain to the human body during use; muscle strength data can be acquired in real time and displayed in a curved waveform diagram, and the displayed results are intuitive and easy to observe.
  • the pelvic floor muscle imaging device 2 obtains the image data of the pelvic floor muscle anatomical structure (that is, the value of the deformation variable) in real time.
  • the pelvic floor muscle imaging device 2 includes, but is not limited to, various clinical imaging devices including ultrasound imaging. Ultrasound imaging is taken as an example in this embodiment, and the pelvic floor muscle imaging device 2 is an existing ultrasound machine.
  • the muscle strength data and the pelvic floor muscle anatomical structure image data are synchronously collected by the data collection device 3.
  • the data acquisition device 3 is set in the PC and includes an image acquisition card 31 for acquiring image data of the pelvic floor muscle anatomy at each preset time point, and an image acquisition card 31 for acquiring muscle strength data at each preset time point
  • the data acquisition card 32 can be directly plugged into the main board of the PC 4, and the data acquisition card is connected to the data processing module through the interface on the main board, and the image acquisition card is connected to the image output port of the ultrasound instrument.
  • the muscle strength data is synchronously and continuously recorded by the pressure sensor in the airbag, and is transmitted to the data acquisition card 32 through the data processing module 12.
  • the image data of the pelvic floor muscle anatomical structure is synchronously and continuously recorded by the ultrasound machine and transmitted to the image acquisition card 31 in parallel.
  • the time of the image acquisition card 31 and the data acquisition card 32 is unified and synchronized.
  • the preset time points of the two are the same, that is, muscle strength data and pelvic floor muscle anatomy image data are collected once at the same time point, and the time point of collection is the same as
  • the collected pelvic floor muscle anatomical structure image data/muscle strength data correspond to the labels one by one. At this time, muscle strength data and image data of pelvic floor muscle anatomy can be displayed in real time on the PC.
  • the image data of the anatomical structure of the pelvic floor muscle is a multi-frame image, which is equivalent to playing a video of the expansion and contraction state of the pelvic floor muscle (that is, the deformation during expansion and contraction) when displayed on a PC. Since there are too many monitoring points in the pelvic floor muscles, this embodiment only detects the deformation of the muscles at a few characteristic points.
  • a motion tracking algorithm (this is a prior art) can be used to establish the displacement curve of each region of interest of the pelvic floor muscle over time.
  • Various displacement tracking algorithms based on images or ultrasound radio frequency signals are applicable.
  • the first feature point and the first feature point and the first feature point of the region of interest (ROI) in the image data of the pelvic floor muscle anatomy structure image data are tracked.
  • the first displacement fields u and v of the two characteristic points (representing rectangular coordinates, u is the lateral displacement, and v is the longitudinal displacement).
  • the second displacement fields r and q are obtained through coordinate conversion (representing polar coordinates, r is radial displacement, and q is tangential displacement).
  • u, v and r, q are the expressions of the same displacement field in different coordinate systems; (u, v) are rectangular coordinates, (r, q) are polar coordinates.
  • the displacement value of the same point of interest can be converted to each other under the two coordinates.
  • the first displacement field and the second displacement field are used to distinguish displacement fields based on different coordinate systems; there is no need to distinguish, the displacement field is calculated globally, and the displacement field is calculated for all pixels of the entire ROI, but at the end When used for characterization, the displacement curves of the first feature point and the second feature point are used.
  • the puborectalis muscle between the pubis and the rectum is equally divided into three segments, and there are two equidistant points on the puborectalis muscle.
  • the first characteristic point is one near the pubic bone, and the second characteristic point is near Another point of the rectum.
  • Different frames are different times, so that the displacement curve of the first feature point with time is obtained.
  • compare the 2nd frame with the 4th frame, the 3rd frame with the 5th frame, and the 4th frame with the 6th frame to obtain the displacement curve of the characteristic points over time.
  • step S400 draw the curve of vaginal muscle strength with time and the displacement curve of muscle deformation with time. These curves can show the synchronization of the maximum muscle strength and the maximum muscle displacement, the percentage of muscle thickness change when the maximum muscle strength is maintained, the maximum muscle displacement and other parameters. According to the parameters on the graph, the female pelvic floor dysfunction can be quantitatively evaluated.
  • the present invention also provides a system for assessing female pelvic floor dysfunction. Please continue to refer to Figure 2.
  • the system includes:
  • Vaginal muscle strength acquisition device used for real-time acquisition of pelvic floor muscle muscle strength data during testing
  • the pelvic floor muscle imaging device 2 is used to obtain real-time image data of the pelvic floor muscle anatomical structure during testing; specifically, an ultrasound instrument can be used.
  • Data acquisition device 3 used for synchronous acquisition of muscle strength data and pelvic floor muscle anatomical structure image data
  • PC 4 is used to calculate the time-varying displacement curve of the characteristic points of the region of interest on the pelvic floor muscle according to the image data of the pelvic floor muscle anatomy; calculate the time-varying curve of vaginal muscle force according to the muscle strength data, according to the displacement curve Calculate the displacement curve of muscle deformation with time.
  • the vaginal muscle strength collection device 1 includes:
  • the pressure detection module 11 is used to obtain female pelvic floor muscle strength, and convert the female pelvic floor muscle strength into corresponding pressure signal output; the specific structure is shown in FIG. 3.
  • the data processing module 12 is used to perform signal processing on the pressure signal, convert it into a waveform diagram for display and output muscle strength data; it is set in a PC.
  • the data acquisition device 3 is set in a PC and plugged into the main board of the PC, including:
  • the image acquisition card 31 is used to collect the image data of the pelvic floor muscle anatomy at each preset time point, and mark the collected time points and the collected pelvic floor muscle anatomy image data in a one-to-one correspondence;
  • the data acquisition card 32 is used to collect muscle strength data at each of the preset time points, and mark the collected time points in a one-to-one correspondence with the collected muscle strength data.
  • Chronic contraction means that the patient slowly contracts the muscles to the maximum and tries to hold them for 5 seconds and then relaxes in order to evaluate the function of the type I fibers (slow contraction fibers) that maintain continuous tension in the levator ani muscle.
  • Fast contraction refers to the patient's rapid contraction and relaxation at least 3 times at a specified frequency in order to assess the function of the type II fibers (fast contraction fibers) in the levator ani muscle that maintain reflex and autonomic contraction.
  • the doctor fills the air bag with a small amount of water in the vaginal muscle strength collection device 1, and gently places it in the patient's vagina.
  • the doctor will continue to inject water into the airbag to ensure that the airbag fits the vaginal wall as much as possible, and at the same time take care of the actual feeling of the patient so as not to affect the subsequent valsaval Movements and other voluntary contractions of the pelvic floor muscles proceed normally. Record the initial value of vaginal muscle strength in the patient's relaxed state.
  • the doctor places the ultrasound probe of the ultrasound system on the labia, and adjusts the position and direction of the ultrasound probe to obtain a complete ultrasound image of a certain or several pelvic floor muscles in the target area (ie, pelvic floor muscle anatomical structure image data).
  • the patient completes the specified actions under the guidance of the doctor, such as the above-mentioned slow contraction or rapid contraction, slow or continuous contraction of the pelvic floor muscles at a faster frequency.
  • the PC starts the computer data acquisition program, and the data acquisition card and the image acquisition card synchronously and continuously collect muscle strength data and image data of the pelvic floor muscle anatomy. Stop data collection when the action is completed.
  • the PC uses a motion tracking algorithm on the image data of the pelvic floor muscle anatomy to obtain the displacement curve of each pixel in the image relative to the initial frame over time. Draw a curve of muscle strength versus time in the same time period.
  • the two curves can be combined on the same time axis to extract multiple parameters for quantitative evaluation of muscle biomechanical properties, such as those that can be achieved when the patient's pelvic floor muscles contract spontaneously Maximum muscle strength, time synchronization between muscle strength and muscle displacement, percentage of muscle thickness change when maintaining maximum muscle strength, maximum muscle displacement, etc. These parameters have been clinically proven to have a significant correlation with female pelvic floor prolapse.
  • FIG. 4 The obtained vaginal muscle strength curves with time are shown in Figure 4 (muscle strength during fast contraction) and Figure 5 (muscle strength during slow contraction).
  • the X axis is time t (unit s)
  • the Y axis is the muscle strength corresponding to each time point (unit N).
  • Fig. 6 is a schematic diagram of the displacement curve of the muscle deformation with time on the radial displacement of two characteristic points during fast contraction.
  • Fig. 7 is a schematic diagram of the displacement curve of the tangential displacement of the two characteristic points during fast contraction.
  • Fig. 8 is a schematic diagram of the displacement curve of the muscle deformation with time on the radial displacement of two characteristic points during slow contraction.
  • Figure 9 is a schematic diagram of the displacement curve of the tangential displacement of the two characteristic points during slow contraction.
  • the X axis is time t (unit s)
  • the Y axis is the corresponding point of each feature (Pu represents the first feature point close to the pubis, Re represents the second feature point close to the rectum) at the corresponding time point The amount of displacement.
  • the maximum intravaginal pressure when a woman performs pelvic floor muscle contraction under the guidance of a doctor the rate at which the maximum pressure is reached from a relaxed state, the length of time to maintain the maximum intravaginal pressure, the number of times the maximum pressure can be reached during rapid contraction and relaxation, etc.
  • Female pelvic floor muscles can achieve the maximum displacement, maximum thickness, the length of time to maintain the maximum thickness of the muscles, and the synchronization of the fibers of various parts of the muscles during rapid contraction and relaxation.
  • the biomechanical properties of the pelvic floor muscles such as the synchronization of muscle strength and muscle displacement over time, the slope of the muscle strength and displacement curve (usually this slope represents the stiffness of the tissue), and the rate of change in the thickness of the muscle to maintain the maximum muscle strength.
  • the present invention adopts the transvaginal method, when the pelvic floor muscles are actively or passively moving, the muscle strength data and the pelvic floor muscle anatomical structure image data that continuously change during the whole process of muscle movement are synchronously collected, and after deformation tracking processing, The movement displacement of the muscle itself can be obtained, and the comprehensive analysis results of deformation and muscle strength can objectively and effectively reflect the mechanical characteristics of the pelvic floor muscles.
  • the curve of vaginal muscle strength with time and the displacement curve of muscle deformation with time The parameter grading of female pelvic floor muscle prolapse is very consistent with the clinical grading standard; it is non-invasive and objective, and achieves an objective quantitative assessment of the elastic properties of pelvic floor muscles.

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Abstract

一种女性盆底功能障碍评估方法及其系统，该方法包括：步骤A、测试时实时获取盆底肌肉的肌力数据和盆底肌解剖结构图像数据；步骤B、对肌力数据和盆底肌解剖结构图像数据进行同步采集；步骤C、根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；步骤D、根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。通过同时采集肌力数据和盆底肌解剖结构图像数据这两个参数并计算出与时间对应的曲线，即可对生物力学特性进行定量评价，为女性盆底功能障碍评估提供准确的判断依据。

Description

一种女性盆底功能障碍评估方法及其系统 技术领域
本发明涉及盆底肌肉运动分析技术领域，特别涉及一种女性盆底功能障碍评估方法及其系统。
背景技术
女性盆底功能障碍性疾病(female pelvic flour dysfunction，FPFD)是一种由于盆底支撑结构损伤从而导致盆底脏器位置和功能异常的中老年女性常见疾病，主要表现为：压力性尿失禁、盆腔器官脱垂和性功能障碍。现已成为威胁女性健康的5种常见慢性疾病之一，是一个在全球范围内日益受到重视的社会卫生问题。FPFD虽不威胁生命，但它严重影响妇女社会活动、身心健康和生活质量。流行病学调查显示，妊娠和分娩是FPFD的独立危险因素。据报道美国大约10-36％的初产妇产后发生盆底肌肉或筋膜的损伤，约10％的美国妇女由于严重的FPFD需要手术治疗，美国每年治疗单纯尿失禁的费用高达到100亿美元。据澳大利亚的统计报道，产后尿失禁的发生率约15％～40％。我国目前还缺乏确切的流行病学数据，2005年据北京地区流行病学调查，约38.5％的产后妇女患有压力性尿失禁(SUI)，且随年龄的增长患病率增加。
现有的吊床学说，即“阴道三个支持水平”理论，将支持阴道的筋膜、韧带、结缔组织和盆底肌肉分为上、中、下三个水平以撑托盆底，并指出肛提肌群是盆底三个支撑水平中最重要的支持结构，一旦发生松弛或损伤，盆腔器官将无法维持在正常位置，从而出现盆底脏器脱垂等盆底功能障碍性疾病。盆底功能性障碍疾病防治的前提是及时发现和准确诊断。临床诊断盆底功能性障碍疾病的主要依据是妇科检查结果，应用国际尿控协会推荐的盆腔器脱垂的定量POP-Q分度法对盆腔脏器的脱垂及其程度进行诊断。目前对产后盆底支持结构损伤的诊断尚缺乏一个简单、客观、准确的方法，病人和临床医生对FPFD的认识不足，发病隐匿，患者多数羞于就医，症状常常被病人隐瞒，仅3％的患者因FPFD的症状寻医，因而早期就诊的病人少，绝大多数患者是在出现明显临床症状，甚至影响日常生活后才就诊，最后需要通过手术治疗才能改善症状，错过了早期诊断和及时康复(通过盆底肌锻炼、生物反馈和盆底磁疗等物理治疗)的无创治疗时期。
2009年国家卫生部妇幼保健与社区卫生司主持启动了以关注妇女生殖健康，尤其是盆底功能障碍性疾病的一项综合防治项目，盆底康复治疗已成为国家安康工程之一。2012年国家 科技部将“盆底功能障碍性疾病规范化诊疗”列为国家科技计划人口与健康领域的重大专项指南。如何加强和提高年轻母亲们的生殖健康保健意识，降低产后FPFD的发生，提高她们的生活质量和家庭幸福，是一个重大民生课题。
现有的盆底肌肉评估方法包括触诊、阴道内压力测试、肌电图测试和影像技术，具有各自的优势也各存限制。
传统的阴道触诊(Vaginal palpation)是一种目前被理疗学家广泛用来评估盆底肌肉收缩能力的方法，测试者通过指诊的方式直接感受阴道收缩的肌力大小，并结合Oxford评分系统对肌肉进行分级评分。阴道触诊方法感性、简单，常用；但是由测试者主观判断，需要诊断者具有熟练的经验，所以具有一定的测量误差。
阴道内压力测试是通过测量肌肉的挤压力来对肌肉进行评估，主要针对肌肉力量。这种方法容易受其他肌群力量的干扰，而且无法定位具体是哪块肌肉有问题。
肌电图测试是通过测肌肉的电位活动来对肌肉进行评估，其包括针电极和表面电极。表面电极收集的是肌肉群的整体肌电信号，无法具体定位单块肌肉；针电极可以测试单块肌肉，但是具有强烈的侵入性，临床病人耐受性比较差。
随着影像技术的快速发展，超声成像技术、磁共振成像技术及X线成像技术能够对盆底肌肉的解剖结构及形态位置进行成像，通过测量盆膈裂孔面积等量化参数间接对其进行评估。通过超声测量尿道内口在肛提肌从静息状态到最大收缩状态时相对耻骨联合后下边缘的横向位移和纵向位移来间接地对被试的肛提肌的活动度进行间接的评估。
上述对盆底肌肉力学特性的评估方法具有主观性或有创的(即带创伤)，获取的评估参数并不能定量反映盆底肌自身生物力学特性，对盆底肌力的检测准确性较低。
因而现有技术还有待改进和提高。
发明内容
鉴于上述现有技术的不足之处，本发明的目的在于提供一种女性盆底功能障碍评估方法及其系统，以解决现有盆底肌肉评估方法对盆底肌力的检测准确性较低的问题。
为了达到上述目的，本发明采取了以下技术方案：
一种女性盆底功能障碍评估方法，其包括
步骤A、测试时实时获取盆底肌肉的肌力数据和盆底肌解剖结构图像数据；
步骤B、对肌力数据和盆底肌解剖结构图像数据进行同步采集；
步骤C、根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变 化的位移曲线；
步骤D、根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。
所述的女性盆底功能障碍评估方法中，在所述步骤A中，实时获取盆底肌肉的肌力数据具体包括：
步骤A1、通过压强检测模块获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出；
步骤A2、数据处理模块对所述压强信号进行信号处理、转换成波形图显示并输出肌力数据。
所述的女性盆底功能障碍评估方法中，所述步骤B具体包括：
图像采集卡在各个预设时间点对盆底肌解剖结构图像数据进行采集，并将采集的时间点与所采的盆底肌解剖结构图像数据一一对应标记；数据采集卡在所述各个预设时间点对肌力数据进行采集，并将采集的时间点与所采的肌力数据一一对应标记。
所述的女性盆底功能障碍评估方法中，在所述步骤C中，通过运动追踪算法来建立盆底肌肉各感兴趣区域随时间变化的位移曲线。根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线
所述的女性盆底功能障碍评估方法中，所述步骤C具体包括：
步骤C1、追踪盆底肌解剖结构图像数据中的第n帧和第n+2帧图像中的感兴趣区域的第一特征点和第二特征点的位移场；
步骤C2、将第n帧和第n+2帧图像进行对比，计算第一特征点和第二特征点在位移场上随时间变化的位移曲线。
所述的女性盆底功能障碍评估方法中，所述第一特征点为将耻骨直肠肌平均分为三段的靠近耻骨的一个均分点，第二特征点为将耻骨直肠肌平均分为三段的靠近直肠的另一个均分点。
一种用于实现所述的女性盆底功能障碍评估方法的系统，其包括：
阴道肌力采集装置，用于测试时实时获取盆底肌肉的肌力数据；
盆底肌肉成像装置，用于测试时实时获取盆底肌解剖结构图像数据；
数据采集装置，用于对肌力数据和盆底肌解剖结构图像数据进行同步采集；
PC机，用于根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形 变量随时间变化的位移量曲线。
所述的系统中，所述阴道肌力采集装置包括：
压强检测模块，用于获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出；
数据处理模块，用于对所述压强信号进行信号处理、转换成波形图显示并输出肌力数据。
所述的系统中，所述数据采集装置包括：
图像采集卡，用于在各个预设时间点对盆底肌解剖结构图像数据进行采集，并将采集的时间点与所采的盆底肌解剖结构图像数据一一对应标记；
数据采集卡，用于在所述各个预设时间点对肌力数据进行采集，并将采集的时间点与所采的肌力数据一一对应标记。
相较于现有技术，本发明提供的女性盆底功能障碍评估方法及其系统，测试时实时获取盆底肌肉的肌力数据和盆底肌解剖结构图像数据；对肌力数据和盆底肌解剖结构图像数据进行同步采集；根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。通过同时采集肌力数据和盆底肌解剖结构图像数据这两个参数并计算出与时间对应的曲线，即可对生物力学特性进行定量评价，为女性盆底功能障碍评估提供准确的判断依据。
附图说明
图1为本发明提供的女性盆底功能障碍评估方法流程图。
图2为本发明提供的女性盆底功能障碍评估的系统的结构框图。
图3为本发明提供的女性盆底功能障碍评估的系统中压强检测模块的示意图。
图4为本发明快缩时阴道肌力随时间变化的曲线图。
图5为本发明慢缩时阴道肌力随时间变化的曲线图。
图6为本发明快缩时两个特征点的径向位移上肌肉形变量随时间变化的位移量曲线示意图。
图7为本发明快缩时两个特征点的切向位移上肌肉形变量随时间变化的位移量曲线示意图。
图8为本发明慢缩时两个特征点的径向位移上肌肉形变量随时间变化的位移量曲线示意图。
图9为本发明慢缩时两个特征点的切向位移上肌肉形变量随时间变化的位移量曲线示意 图。
具体实施方式
本发明提供一种女性盆底功能障碍评估方法及其系统，能对盆底肌肉收缩力量进行无创、测试时实时评估，对软组织的生物力学特性进行定量评价，为女性盆底功能障碍评估提供准确的判断依据。为使本发明的目的、技术方案及效果更加清楚、明确，以下参照附图并举实施例对本发明进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本发明，并不用于限定本发明。
请同时参阅图1和图2，本发明提供的女性盆底功能障碍评估方法包括：
S100、测试时实时获取盆底肌肉的肌力数据和盆底肌解剖结构图像数据；
S200、对肌力数据和盆底肌解剖结构图像数据进行同步采集；
S300、根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；
S400、根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。
本实施例能对软组织(特指盆底肌肉)的生物力学特性进行定量评价，主要是基于两个参数，即肌肉运动时主动或被动施加的肌力，和肌肉的形变或者位移的形变量。而总结现有盆底肌的评估技术，目前尚没有一种技术可以对盆底肌肉同时获得这两个参数，从而不能对肌肉内在的生物力学属性进行定量评估。
在所述步骤S100中，通过阴道肌力采集装置1来实时获取肌力数据(即肌力的值)。如图2所示，所述阴道肌力采集装置1包括压强检测模块11和数据处理模块12，所述压强检测模块与数据处理模块连接；通过压强检测模块获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出，由数据处理模块对所述压强信号进行信号处理、转换成波形图显示(曲线方式实时显示压力变化)并输出肌力数据。所述数据处理模块12设置在PC(Personal Computer)机中。
例如，所述压强检测模块11如图3所示，其包括气囊110、第一导管121、第二导管122、三通阀130和用于放置压强传感器的置纳盒140。所述气囊110的注入口a连通第一导管121的一端，第一导管121的另一端通过置纳盒140连通第二导管122的一端，第二导管122的另一端连通三通阀130的第二阀口2；压强传感器的数据采集部(图中未示出)置于置纳盒140内，压强传感器的数据传输部伸出置纳盒140，数据传输部的数据线301与数据处理模块 连接，第一导管121、第二导管122以及压强传感器与置纳盒的连接处密封固定。
注射器插入第三阀口3向气囊110填充气体或液体后，将气囊110放入阴道内与其肌肉接触，当盆底肌肉收缩时挤压气囊110导致其内部压强变化，置纳盒140内也能获得同等的压强变化，通过压强传感器的数据采集部(相关的感应压强的器件)检测置纳盒140内的压强，从而将肌肉的挤压力转换为对气囊110的挤压力，从而间接获得盆底肌肉的肌力。压强传感器获取的压强信号通过数据线301传输给数据处理模块12进行相应处理即可获得肌力数据。上述实现方式简单，使用时不会对人体带来创口和疼痛；能实时获取肌力数据并以曲线的波形图显示，显示结果直观便于观察。
在所述步骤S100中，通过盆底肌肉成像装置2来实时获取盆底肌解剖结构图像数据(即形变量的值)。所述盆底肌肉成像装置2包括但不限于超声成像在内的多种临床成像装置，本实施例以超声成像为例，则盆底肌肉成像装置2为现有的超声仪。
在所述步骤S200中，通过数据采集装置3来对肌力数据和盆底肌解剖结构图像数据进行同步采集。数据采集装置3设置在PC机中，包括用于在各个预设时间点对盆底肌解剖结构图像数据进行采集的图像采集卡31、和用于在各个预设时间点对肌力数据进行采集的数据采集卡32。在具体实施时，图像采集卡31和数据采集卡32可直接插到PC机4的主板上，通过主板上的接口，数据采集卡连接数据处理模块，图像采集卡连接超声仪的图像输出端口。
当盆底肌肉做主动或者被动收缩运动时，肌力数据被气囊中的压力传感器同步连续记录、并通过数据处理模块12传输给数据采集卡32。盆底肌解剖结构图像数据被超声仪同步连续记录且并行传输给图像采集卡31。图像采集卡31和数据采集卡32的时间统一且同步，两者的预设时间点相同，即在相同的时间点采集一次肌力数据和盆底肌解剖结构图像数据，并采集的时间点与所采的盆底肌解剖结构图像数据/肌力数据一一对应标记。此时可在PC机上实时显示肌力数据和盆底肌解剖结构图像数据。
盆底肌解剖结构图像数据是多帧图像，在PC机上快速显示时相当于播放盆底肌肉扩张收缩状态(即扩张和收缩时的形变量)的视频。由于盆底肌内监测点太多，本实施例仅对几个特征点的肌肉的形变量进行检测。
在所述步骤S300中，可采用运动追踪(motion tracking)算法(此为现有技术)来建立盆底肌肉各感兴趣区域随时间变化的位移曲线。各类基于图像或者超声射频信号的位移追踪算法均适用。以基于灰度图像的光流法为例，追踪盆底肌解剖结构图像数据中的第n帧和第n+2帧图像中的感兴趣区域(ROI，Region ofinterest)的第一特征点和第二特征点的第一位移场u、v(表示直角坐标，u为横向位移，v为纵向位移)。然后通过坐标转换得到第二位移 场r、q(表示极坐标，r为径向位移，q为切向位移)。将第n帧和第n+2帧图像进行对比，计算第一特征点和第二特征点在两个位移场上随时间变化的位移曲线。u、v与r、q是同一个位移场在不同的坐标系下的表述；(u、v)是直角坐标，(r、q)是极坐标。同一个感兴趣点的位移值在两个坐标下可以互相换算。本实施例中第一位移场和第二位移场用于区分基于不同坐标系的位移场；也可以不用区分，位移场是全局计算，是整个ROI的所有像素点都计算了位移场，只是最后用来表征的时候，采用了第一特征点和第二特征点的位移曲线。
本实施例将耻骨和直肠之间的耻骨直肠肌平均分为三段，则耻骨直肠肌上有两个均分点，第一特征点即靠近耻骨的一个均分点，第二特征点即靠近直肠的另一个均分点。从n＝1开始，分别找出第1帧和第3帧图像中第一特征点的位移场(u、v和r、q)，将第1帧和第3帧图像进行对比，即可得到第一特征点的位移场(u、v和r、q)从第1帧到第3帧的变化值，不同的帧即为不同的时间，从而获得第一特征点随时间变化的位移曲线。以此类推，将第2帧和第4帧对比，第3帧和第5帧对比，第4帧和第6帧对比，即可获得特征点随时间变化的位移曲线。
最后在所述步骤S400中，画出阴道肌力随时间变化的曲线和肌肉形变量随时间变化的位移量曲线。这些曲线可以显示出最大肌力与肌肉最大位移的同步性，维持最大肌力时肌肉厚度变化百分比，肌肉最大位移等参数。根据曲线图上的参数可对女性盆底功能障碍进行定量评估。
基于上述的女性盆底功能障碍评估方法，本发明还提供一种女性盆底功能障碍评估的系统，请继续参阅图2，所述系统包括：
阴道肌力采集装置1，用于测试时实时获取盆底肌肉的肌力数据；
盆底肌肉成像装置2，用于测试时实时获取盆底肌解剖结构图像数据；具体可采用超声仪。
数据采集装置3，用于对肌力数据和盆底肌解剖结构图像数据进行同步采集；
PC机4，用于根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。
其中，所述阴道肌力采集装置1包括：
压强检测模块11，用于获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出；具体结构如图3所示。
数据处理模块12，用于对所述压强信号进行信号处理、转换成波形图显示并输出肌力数 据；其设置在PC机中。
所述数据采集装置3设置在PC机中，与PC机的主板插接，包括：
图像采集卡31，用于在各个预设时间点对盆底肌解剖结构图像数据进行采集，并将采集的时间点与所采的盆底肌解剖结构图像数据一一对应标记；
数据采集卡32，用于在所述各个预设时间点对肌力数据进行采集，并将采集的时间点与所采的肌力数据一一对应标记。
请继续参阅图1-图3，假设患者仰卧位平躺在检查床上。慢缩是病人慢慢收缩肌肉至最大并尽量坚持5秒后放松，以评估肛提肌中维持持续张力的I类纤维(慢收缩纤维)的功能。快缩是病人按指定频率连续快速收缩放松至少3次，以评估肛提肌中维持反射及自主收缩的II类纤维(快收缩纤维)的功能。
医生在阴道肌力采集装置1中，将气囊充少量水，轻轻置于患者阴道内。为保证气囊感受到的阴道肌力的准确性和可重复性，医生会继续向气囊中注水，以保证气囊与阴道壁尽量贴合，并同时照顾到病人的实际感受，以便不影响后续的valsaval动作等盆底肌自主收缩动作的正常进行。记录在病人放松状态下阴道肌力的初始值。
医生将超声仪的超声探头至于阴唇部位，调整超声探头位置和方向，以获取目标区域某块或者某几块盆底肌肉的完整超声切面图像(即盆底肌解剖结构图像数据)。
病人在医生的指导下完成指定动作，如上述的慢缩或快缩，缓慢或者持续以较快频率收缩盆底肌肉。在动作开始时，PC机启动计算机数据采集程序，数据采集卡和图像采集卡同步连续采集肌力数据和盆底肌解剖结构图像数据。待动作完成时停止数据采集。
PC机对盆底肌解剖结构图像数据采用运动追踪算法，以获得图像中各像素相对于初始帧随时间变化的位移曲线。画出同个时间段肌力随时间变化的曲线。
由于肌力和肌肉位移是同步获得的，因此两条曲线可以合并在同一个时间轴上，用于提取多个定量评估肌肉生物力学特性的参数，比如，病人盆底肌自主收缩时能达到的最大肌力，肌力与肌肉位移的时间同步性，维持最大肌力时肌肉厚度变化百分比，肌肉最大位移等。这些参数都在临床被证明与女性盆底脱垂有显著相关性。
获得的阴道肌力随时间变化的曲线如图4(快缩时的肌力)和图5(慢缩时的肌力)所示。图4和图5中X轴为时间t(单位s)，Y轴为各时间点对应的肌力大小(单位N)。图6为快缩时两个特征点的径向位移上肌肉形变量随时间变化的位移量曲线示意图。图7为快缩时两个特征点的切向位移上肌肉形变量随时间变化的位移量曲线示意图。图8为慢缩时两个特征点的径向位移上肌肉形变量随时间变化的位移量曲线示意图。图9为慢缩时两个特征点的切 向位移上肌肉形变量随时间变化的位移量曲线示意图。图6-图9中X轴为时间t(单位s)，Y轴为各特征点(Pu表示靠近耻骨的第一特征点、Re表示靠近直肠的第二特征点)在相应时间点上对应的位移量。
从图4-图9中可以测出如下参数：
女性在医生指导下进行盆底肌收缩时的最大阴道内压力、从放松状态达到最大压力的速率、维持最大阴道内压力的时间长度、进行快速收缩和放松时能达到最大压力的次数等。
女性盆底肌在进行指定动作时能达到的最大位移、最大厚度、维持肌肉最大厚度的时间长度、进行快速收缩放松动作时肌肉各部分纤维的同步性等。
盆底肌的生物力学特性，比如肌力与肌肉位移随时间变化的同步性、肌力与位移曲线的斜率(通常这个斜率代表组织的硬度)、维持最大肌力区间肌肉的厚度变化率等。
综上所述，本发明采用经阴道方式，在盆底肌主动或者被动运动时，同步采集肌肉运动整个过程时连续变化的肌力数据和盆底肌解剖结构图像数据，经过形变追踪处理后，能够获得肌肉本身运动位移情况，形变和肌力的综合分析结果能够客观、有效反映盆底肌肉的力学特性，根据阴道肌力随时间变化的曲线和肌肉形变量随时间变化的位移量曲线上的参数对女性盆底肌肉脱垂程度的分级与临床分级标准吻合度非常高；具有无创性和客观性，实现了对盆底肌肉弹性属性的客观定量评估。
可以理解的是，对本领域普通技术人员来说，可以根据本发明的技术方案及其发明构思加以等同替换或改变，而所有这些改变或替换都应属于本发明所附的权利要求的保护范围。

Claims (9)

  1. 一种女性盆底功能障碍评估方法，其特征在于，包括
    步骤A、测试时实时获取盆底肌肉的肌力数据和盆底肌解剖结构图像数据；
    步骤B、对肌力数据和盆底肌解剖结构图像数据进行同步采集；
    步骤C、根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；
    步骤D、根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。
  2. 根据权利要求1所述的女性盆底功能障碍评估方法，其特征在于，在所述步骤A中，实时获取盆底肌肉的肌力数据具体包括：
    步骤A1、通过压强检测模块获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出；
    步骤A2、数据处理模块对所述压强信号进行信号处理、转换成波形图显示并输出肌力数据。
  3. 根据权利要求1所述的女性盆底功能障碍评估方法，其特征在于，所述步骤B具体包括：
    图像采集卡在各个预设时间点对盆底肌解剖结构图像数据进行采集，并将采集的时间点与所采的盆底肌解剖结构图像数据一一对应标记；数据采集卡在所述各个预设时间点对肌力数据进行采集，并将采集的时间点与所采的肌力数据一一对应标记。
  4. 根据权利要求1所述的女性盆底功能障碍评估方法，其特征在于，在所述步骤C中，通过运动追踪算法来建立盆底肌肉各感兴趣区域随时间变化的位移曲线，根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线。
  5. 根据权利要求1所述的女性盆底功能障碍评估方法，其特征在于，所述步骤C具体包括：
    步骤C1、追踪盆底肌解剖结构图像数据中的第n帧和第n+2帧图像中的感兴趣区域的第一特征点和第二特征点的位移场；
    步骤C2、将第n帧和第n+2帧图像进行对比，计算第一特征点和第二特征点在位移场上随时间变化的位移曲线。
  6. 根据权利要求5所述的女性盆底功能障碍评估方法，其特征在于，所述第一特征点为将耻骨直肠肌平均分为三段的靠近耻骨的一个均分点，第二特征点为将耻骨直肠肌平均分为三段的靠近直肠的另一个均分点。
  7. 一种用于实现权利要求1所述的女性盆底功能障碍评估方法的系统，其特征在于，包括：
    阴道肌力采集装置，用于测试时实时获取盆底肌肉的肌力数据；
    盆底肌肉成像装置，用于测试时实时获取盆底肌解剖结构图像数据；
    数据采集装置，用于对肌力数据和盆底肌解剖结构图像数据进行同步采集；
    PC机，用于根据盆底肌解剖结构图像数据计算出盆底肌肉上感兴趣区域的特征点随时间变化的位移曲线；根据肌力数据计算阴道肌力随时间变化的曲线，根据位移曲线计算肌肉形变量随时间变化的位移量曲线。
  8. 根据权利要求7所述的系统，其特征在于，所述阴道肌力采集装置包括：
    压强检测模块，用于获取女性盆底肌力，并将女性盆底肌力转换成相应的压强信号输出；
    数据处理模块，用于对所述压强信号进行信号处理、转换成波形图显示并输出肌力数据。
  9. 根据权利要求7所述的系统，其特征在于，所述数据采集装置包括：
    图像采集卡，用于在各个预设时间点对盆底肌解剖结构图像数据进行采集，并将采集的时间点与所采的盆底肌解剖结构图像数据一一对应标记；
    数据采集卡，用于在所述各个预设时间点对肌力数据进行采集，并将采集的时间点与所采的肌力数据一一对应标记。
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CN116671940A (zh) * 2023-05-22 2023-09-01 广州辉博信息技术有限公司 一种盆底肌功能障碍筛查与治疗系统、存储介质

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