CN111012326A - Pelvic floor calibration method, device and computer-readable storage medium - Google Patents
Pelvic floor calibration method, device and computer-readable storage medium Download PDFInfo
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Abstract
The invention discloses a basin bottom calibration method, which comprises the following steps: acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic; acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal; determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree is in a preset matching degree range; and if not, calibrating the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system. The invention also discloses a pelvic floor assessment device and a computer-readable storage medium. The method and the device can improve the accuracy of the evaluation of the basin bottom.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method and an apparatus for calibrating a pelvic floor, and a computer-readable storage medium.
Background
Myoelectric biofeedback training and neuromuscular electrical stimulation belong to physical treatment methods, and are first-line treatment methods for treating pelvic floor dysfunction diseases, wherein the pelvic floor dysfunction diseases (such as urinary incontinence, organ prolapse, constipation, urine retention, pelvic floor pain and the like) are frequently encountered diseases of postpartum women and climacteric women, patients with the diseases go to a hospital for a doctor, and the treatment method is that a vaginal electrode is placed into the vagina of the patients, and treatment equipment collects myoelectric signals on the surface of the pelvic floor of the patients or sends pulse electrical stimulation through the vaginal electrode to perform pelvic floor myoelectric biofeedback training and neuromuscular electrical stimulation treatment.
After the biofeedback treatment is carried out, the pelvic floor rehabilitation condition of a patient needs to be evaluated, the conventional pelvic floor rehabilitation condition evaluation generally adopts a GLAZE evaluation method, the evaluation method needs the patient to actively contract muscles to acquire electrophysiological parameters of the patient, the electrophysiological parameters are greatly related to active factors of the patient, and if the patient does not operate, misevaluation is possibly caused.
Therefore, the evaluation accuracy of the existing pelvic floor evaluation method still needs to be improved.
Disclosure of Invention
The invention mainly aims to provide a pelvic floor calibration method, a device and a computer readable storage medium, aiming at improving the accuracy of pelvic floor assessment.
In order to achieve the above object, the present invention provides a basin bottom calibration method, including the steps of:
acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic;
acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal;
determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree is in a preset matching degree range;
and if the matching degree does not fall within the preset matching degree range, calibrating the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
Preferably, the step of analyzing the ultrasonic image of the pelvic floor muscles to obtain a first pelvic floor assessment result value based on ultrasound includes:
preprocessing the pelvic floor muscle ultrasonic image, wherein the preprocessing comprises denoising processing and image enhancement processing;
and performing edge feature analysis on the preprocessed pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on the ultrasonic.
Preferably, the step of obtaining the pelvic floor bioelectric signal acquired by the pelvic floor biofeedback acquisition system, analyzing the pelvic floor bioelectric signal, and obtaining a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal includes:
acquiring myoelectric signal parameters and myoelectric signal waveforms of pelvic floor muscles in a front resting stage, a fast muscle stage, a slow muscle stage, a endurance test stage and a back resting stage, which are acquired by a pelvic floor biofeedback acquisition system;
and analyzing the electromyographic signal parameters and the electromyographic signal waveform to obtain a second basin bottom evaluation result value based on the bioelectrical signal.
Preferably, after the step of determining whether the matching degree falls within a preset matching degree range, the method further includes:
and if the matching degree is within the preset matching degree range, keeping the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system unchanged.
Preferably, after the step of acquiring the pelvic floor muscle ultrasonic image acquired by the ultrasonic acquisition system, analyzing the pelvic floor muscle ultrasonic image, and obtaining a first pelvic floor assessment result value based on ultrasound, the method further includes:
judging whether the first basin bottom evaluation result value is smaller than a preset normal value threshold value or not;
and if the first pelvic floor evaluation result value is smaller than a preset normal value threshold value, calibrating the bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
Preferably, the bioelectric stimulation output parameters include current magnitude, stimulation pulse frequency, and stimulation pulse width.
Preferably, the pelvic floor calibration method further comprises:
and displaying the ultrasonic image of the pelvic floor muscle and the signal waveform of the bioelectrical signal of the pelvic floor muscle.
Preferably, the pelvic floor calibration method further comprises:
acquiring basic information of a patient, wherein the basic information comprises name, age, birth times, postpartum days and patient chief complaint information;
generating a pelvic floor assessment report for the patient based on the patient's basic information, the first pelvic floor assessment result value, and the second pelvic floor assessment result value.
Further, to achieve the above object, the present invention also provides a pelvic floor assessment apparatus including: a memory, a processor and a pelvic floor assessment program stored on the memory and executable on the processor, the pelvic floor assessment program when executed by the processor implementing the steps of the pelvic floor calibration method as described above.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a pelvic floor assessment program, which when executed by a processor, implements the steps of the pelvic floor calibration method as described above.
According to the pelvic floor calibration method, the pelvic floor ultrasonic image and the pelvic floor bioelectric signal are collected to respectively obtain the first pelvic floor evaluation result value based on ultrasonic and the second pelvic floor evaluation result value based on the pelvic floor bioelectric signal, then the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value is determined, and when the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value does not fall within the preset matching degree range, the second pelvic floor evaluation result value is most likely to be wrong.
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FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a basin bottom calibration method according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic; acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal; determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree is in a preset matching degree range; and if the matching degree does not fall within the preset matching degree range, calibrating the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
The conventional pelvic floor rehabilitation condition assessment method generally adopts a GLAZE assessment method, the assessment method needs a patient to actively contract muscles to acquire electrophysiological parameters of the patient, the evaluation method is greatly related to active factors of the patient, and if the patient cannot operate the evaluation method, misassessment is possibly caused.
According to the pelvic floor calibration method, the pelvic floor ultrasonic image and the pelvic floor bioelectric signal are collected to respectively obtain the first pelvic floor evaluation result value based on ultrasonic and the second pelvic floor evaluation result value based on the pelvic floor bioelectric signal, then the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value is determined, and when the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value does not fall within the preset matching degree range, the second pelvic floor evaluation result value is most likely to be wrong.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The pelvic floor assessment device can be a pelvic floor rehabilitation instrument which comprises an ultrasonic acquisition system and a pelvic floor biofeedback acquisition system, wherein the ultrasonic acquisition system is used for acquiring a pelvic floor ultrasonic image of a patient, and the pelvic floor biofeedback acquisition system is used for acquiring a pelvic floor bioelectric signal of the patient.
As shown in fig. 1, the pelvic floor assessment apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a basin bottom evaluation program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to invoke the basin assessment program stored in the memory 1005 and perform the following operations:
acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic;
acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal;
determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree is in a preset matching degree range;
and if the matching degree does not fall within the preset matching degree range, calibrating the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
preprocessing the pelvic floor muscle ultrasonic image, wherein the preprocessing comprises denoising processing and image enhancement processing;
and performing edge feature analysis on the preprocessed pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on the ultrasonic.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
acquiring myoelectric signal parameters and myoelectric signal waveforms of pelvic floor muscles in a front resting stage, a fast muscle stage, a slow muscle stage, a endurance test stage and a back resting stage, which are acquired by a pelvic floor biofeedback acquisition system;
and analyzing the electromyographic signal parameters and the electromyographic signal waveform to obtain a second basin bottom evaluation result value based on the bioelectrical signal.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
and if the matching degree is within the preset matching degree range, keeping the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system unchanged.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
judging whether the first basin bottom evaluation result value is smaller than a preset normal value threshold value or not;
and if the first pelvic floor evaluation result value is smaller than a preset normal value threshold value, calibrating the bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
Further, the bioelectric stimulation output parameters include current magnitude, stimulation pulse frequency, and stimulation pulse width.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
and displaying the ultrasonic image of the pelvic floor muscle and the signal waveform of the bioelectrical signal of the pelvic floor muscle.
Further, the processor 1001 may call the pelvic floor assessment program stored in the memory 1005, and also perform the following operations:
acquiring basic information of a patient, wherein the basic information comprises name, age, birth times, postpartum days and patient chief complaint information;
generating a pelvic floor assessment report for the patient based on the patient's basic information, the first pelvic floor assessment result value, and the second pelvic floor assessment result value.
The embodiments of the pelvic floor assessment device of the present invention are substantially the same as the embodiments of the pelvic floor calibration method described below, and are not described herein again.
Based on the hardware structure, the invention provides various embodiments of the basin bottom calibration method.
Referring to fig. 2, fig. 2 is a schematic flow chart of a basin bottom calibration method according to a first embodiment of the present invention, the method includes:
step S10, acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic;
the pelvic floor calibration method can be applied to a host system of the pelvic floor rehabilitation instrument, the pelvic floor rehabilitation instrument further comprises an ultrasonic acquisition system and a pelvic floor muscle biofeedback acquisition system, the ultrasonic acquisition system is in wired or wireless connection with an ultrasonic probe and used for acquiring a pelvic floor muscle ultrasonic image of a patient, and the pelvic floor muscle biofeedback acquisition system is connected with a pelvic floor electrode and used for acquiring a pelvic floor muscle bioelectric signal of the patient.
When the pelvic floor is evaluated, the host system firstly acquires a pelvic floor muscle ultrasonic image acquired by the ultrasonic acquisition system, and analyzes the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on the ultrasonic.
Specifically, the step of analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor assessment result value based on ultrasound may include: preprocessing the pelvic floor muscle ultrasonic image, wherein the preprocessing comprises denoising processing and image enhancement processing; and performing edge feature analysis on the preprocessed pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on the ultrasonic.
After the ultrasonic image of the pelvic floor muscle is acquired, preprocessing is firstly carried out, and the preprocessing comprises the following steps: the method comprises the steps that firstly, denoising is carried out, wherein some ultrasonic images of the pelvic floor muscles contain a large amount of noise backgrounds, some of the ultrasonic images are bright and some of the ultrasonic images are dark, and most of background information and noise in the ultrasonic images of the pelvic floor muscles can be removed after denoising is carried out on the ultrasonic images of the pelvic floor muscles by utilizing a denoising technology; and secondly, image enhancement processing, namely, in the image generation, transmission and transformation processes, due to the influence of various factors, the image quality is reduced, so that the image needs to be enhanced, in the embodiment, a histogram enhancement algorithm is preferentially used for enhancing the gray level of the image, and after the pelvic floor muscle ultrasonic image is enhanced, the pelvic floor muscle image edge characteristics are more obvious, so that the pelvic floor muscle edge detection and the next operation are more favorably realized.
After the ultrasonic image of the pelvic floor muscle is preprocessed, the preprocessed ultrasonic image of the pelvic floor muscle is further subjected to edge feature analysis to obtain a first pelvic floor evaluation result value based on the ultrasonic, and the first pelvic floor evaluation result value is used for representing the abnormal condition of the pelvic floor muscle of the patient.
Step S20, acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal;
in the step, the host system further acquires the pelvic floor bioelectric signals acquired by the pelvic floor biofeedback acquisition system, and analyzes the pelvic floor bioelectric signals to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signals, wherein the second pelvic floor evaluation result value is also used for representing the abnormal condition of the pelvic floor muscles of the patient.
In an embodiment, the step S20 may include: acquiring myoelectric signal parameters and myoelectric signal waveforms of pelvic floor muscles in a front resting stage, a fast muscle stage, a slow muscle stage, a endurance test stage and a back resting stage, which are acquired by a pelvic floor biofeedback acquisition system; and analyzing the electromyographic signal parameters and the electromyographic signal waveform to obtain a second basin bottom evaluation result value based on the bioelectrical signal.
According to the current international GLAZE basin bottom evaluation method, the evaluation is divided into 5 stages:
1. in the pre-resting stage, testing a static pelvic floor muscle tension signal;
2. fast muscle (type II fiber) stage: the muscle strength and the reaction speed of fast muscles (II fibers) under dynamic conditions are mainly tested, and signals of the muscle strength and the reaction speed are tested;
3. a slow muscle (type I fiber) stage, which mainly tests the stability of muscle strength and contraction control of dynamic slow muscle (type I fiber), testing muscle strength and contraction control signals;
4. and (3) a endurance test stage: testing endurance of pelvic floor muscles, especially slow muscles (type I fibers), testing endurance signals;
5. and in the later resting stage, testing a resting tension signal of the static pelvic floor.
In the pelvic floor evaluation process, the host system acquires the electromyographic signal parameters and the electromyographic signal waveforms of the various stages collected by the pelvic floor biofeedback collection system, and then analyzes the electromyographic signal parameters and the electromyographic signal waveforms to obtain a second pelvic floor evaluation result value based on the bioelectricity signals.
Of course, the evaluation method for obtaining the second pelvic floor evaluation result value is not limited to the aforementioned GLAZE evaluation method, and other evaluation methods in the prior art may be used to analyze the pelvic floor bioelectric signal during specific implementation to obtain the second pelvic floor evaluation result value based on the pelvic floor bioelectric signal.
Step S30, determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree falls within a preset matching degree range;
in this step, the host system determines the matching degree of the first and second basin bottom evaluation result values, and determines whether the matching degree falls within a preset matching degree range, for example, when a difference or a ratio between the first and second basin bottom evaluation values falls within a preset range, it may be determined that the matching degree of the first and second basin bottom evaluation values falls within the preset matching degree range, and for example, when the first and second basin bottom evaluation values both show that the evaluation result is normal or that the evaluation result is abnormal, it may be determined that the first and second basin bottom evaluation values fall within the preset matching degree range.
Since the second pelvic floor assessment result depends on the voluntary contraction muscle of the patient, the second pelvic floor assessment value is highly likely to be inaccurate due to the voluntary factor of the patient, and thus, there may be a case where the first pelvic floor assessment result value shows that the assessment result is abnormal and the second pelvic floor assessment value shows that the assessment result is normal, or where the first pelvic floor assessment result value shows that the assessment result is normal and the second pelvic floor assessment value shows that the assessment result is abnormal. At this time, the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation value will not fall within the preset matching degree range.
And if the matching degree does not fall within the preset matching degree range, executing step S40, and calibrating the current bioelectric stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
When the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation value does not fall within the preset matching degree range, the host system calibrates the current bioelectric stimulation output parameters of the pelvic floor biofeedback acquisition system until the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation value falls within the preset matching degree range, wherein the bioelectric stimulation output parameters can comprise current magnitude, stimulation pulse frequency and stimulation pulse width, and the calibration can be automatic calibration of the host system according to preset calibration rules or calibration according to calibration instructions triggered by a user. Through calibrating the current bioelectric stimulation output parameters of the pelvic floor muscle biofeedback acquisition system, the pelvic floor muscle bioelectric signal of the patient can be changed, and therefore correction of a second pelvic floor evaluation result value based on the pelvic floor muscle bioelectric signal is achieved.
Further, if the matching degree is within a preset matching degree range, keeping the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system unchanged.
When the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation value is within the preset matching degree range, the evaluation results of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value are consistent, the second pelvic floor evaluation result value based on the pelvic floor bioelectricity signals can be determined to be real, the current bioelectricity stimulation output parameters of the pelvic floor biofeedback acquisition system do not need to be calibrated, and the current bioelectricity stimulation output parameters of the pelvic floor biofeedback acquisition system are kept unchanged.
According to the pelvic floor calibration method provided by the embodiment, the ultrasonic image of the pelvic floor muscle and the bioelectric signal of the pelvic floor muscle are acquired to respectively obtain the first pelvic floor evaluation result value based on the ultrasonic and the second pelvic floor evaluation result value based on the bioelectric signal of the pelvic floor muscle, then the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value is determined, and when the matching degree of the first pelvic floor evaluation result value and the second pelvic floor evaluation result value does not fall within the preset matching degree range, the second pelvic floor evaluation result value is most likely to be wrong.
Further, based on the first embodiment of the basin bottom calibration method of the present invention, a second embodiment of the basin bottom calibration method of the present invention is proposed.
In this embodiment, after the step S10, the method further includes: judging whether the first basin bottom evaluation result value is smaller than a preset normal value threshold value or not; and if the first pelvic floor evaluation result value is smaller than a preset normal value threshold value, calibrating the bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
After the host system obtains the first ultrasonic-based pelvic floor assessment result value, whether the first pelvic floor assessment result value is smaller than a preset normal value threshold value or not is judged, if yes, the current bioelectric stimulation output parameters of the pelvic floor biofeedback acquisition system are indicated to be problematic, and at the moment, the bioelectric stimulation output parameters of the pelvic floor biofeedback acquisition system, including current magnitude, stimulation pulse frequency, stimulation pulse width and the like, also need to be calibrated until the first ultrasonic-based pelvic floor assessment result value acquired by the host system is within a preset normal range. Therefore, the feedback adjustment of the current bioelectric stimulation output parameters of the pelvic floor muscle biofeedback acquisition system is realized.
Further, the basin bottom calibration method further comprises the following steps: and displaying the ultrasonic image of the pelvic floor muscle and the signal waveform of the bioelectrical signal of the pelvic floor muscle.
In this embodiment, the pelvic floor rehabilitation apparatus further comprises a display for displaying the ultrasonic image of the pelvic floor muscles and the signal waveform of the bioelectric signals of the pelvic floor muscles, so as to be conveniently observed by the user. Wherein, the display mode of pelvic floor muscle ultrasonic image and pelvic floor muscle bioelectricity signal waveform can set up in a flexible way, for example, the display screen can divide into two and divide the screen, one of them divides screen display pelvic floor muscle image, another divides screen display pelvic floor muscle bioelectricity signal waveform, so be convenient for the user compare in a screen and observe and the analysis pelvic floor muscle ultrasonic image and pelvic floor muscle bioelectricity signal waveform, when receiving the user and based on the full screen display instruction that certain minute screen triggered, can also carry out the full screen display with the pelvic floor muscle image that corresponds in dividing the screen or pelvic floor muscle bioelectricity signal waveform, so that the user further observes.
Further, the basin bottom calibration method further comprises the following steps: acquiring basic information of a patient, wherein the basic information comprises name, age, birth times, postpartum days and patient chief complaint information; generating a pelvic floor assessment report for the patient based on the patient's basic information, the first pelvic floor assessment result value, and the second pelvic floor assessment result value.
In this embodiment, the host system may further obtain basic information of the patient, where the basic information includes name, age, birth number, postpartum day number, and patient complaint information, and the basic information may be input by a user or downloaded from another system; and then generating a pelvic floor evaluation report of the patient according to the basic information of the patient, the first pelvic floor evaluation result value based on the ultrasonic waves and the second pelvic floor evaluation result value based on the bioelectrical signals of the pelvic floor muscles, and printing the pelvic floor evaluation report by a printing device. Certainly, the pelvic floor evaluation report can also display information such as pelvic floor muscle ultrasonic images and pelvic floor muscle bioelectric signal waveforms, and the information can be flexibly set in specific implementation. By generating the pelvic floor assessment report, the recording of the pelvic floor assessment result of the patient is realized.
The invention also provides a computer readable storage medium.
The present computer readable storage medium has stored thereon a pelvic floor assessment program which, when executed by a processor, implements the steps of the pelvic floor calibration method as described above.
The method implemented when the pelvic floor assessment program executed on the processor is executed may refer to various embodiments of the pelvic floor calibration method of the present invention, and details thereof are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A pelvic floor calibration method is characterized by comprising the following steps:
acquiring a pelvic floor muscle ultrasonic image acquired by an ultrasonic acquisition system, and analyzing the pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on ultrasonic;
acquiring a pelvic floor bioelectric signal acquired by a pelvic floor biofeedback acquisition system, and analyzing the pelvic floor bioelectric signal to obtain a second pelvic floor evaluation result value based on the pelvic floor bioelectric signal;
determining the matching degree of the first basin bottom evaluation result value and the second basin bottom evaluation result value, and judging whether the matching degree is in a preset matching degree range;
and if the matching degree does not fall within the preset matching degree range, calibrating the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
2. The pelvic floor calibration method of claim 1, wherein the step of analyzing the pelvic floor muscle ultrasound image to obtain a first ultrasound-based pelvic floor assessment result value comprises:
preprocessing the pelvic floor muscle ultrasonic image, wherein the preprocessing comprises denoising processing and image enhancement processing;
and performing edge feature analysis on the preprocessed pelvic floor muscle ultrasonic image to obtain a first pelvic floor evaluation result value based on the ultrasonic.
3. The pelvic floor calibration method according to claim 1, wherein the step of obtaining the pelvic floor bioelectric signal collected by the pelvic floor biofeedback collection system, analyzing the pelvic floor bioelectric signal, and obtaining the second pelvic floor evaluation result value based on the pelvic floor bioelectric signal comprises:
acquiring myoelectric signal parameters and myoelectric signal waveforms of pelvic floor muscles in a front resting stage, a fast muscle stage, a slow muscle stage, a endurance test stage and a back resting stage, which are acquired by a pelvic floor biofeedback acquisition system;
and analyzing the electromyographic signal parameters and the electromyographic signal waveform to obtain a second basin bottom evaluation result value based on the bioelectrical signal.
4. The basin bottom calibration method according to claim 1, wherein the step of determining whether the degree of matching falls within a preset range of degrees of matching further comprises:
and if the matching degree is within the preset matching degree range, keeping the current bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system unchanged.
5. The pelvic floor calibration method of claim 1, wherein the step of obtaining the pelvic floor muscle ultrasound image acquired by the ultrasound acquisition system, analyzing the pelvic floor muscle ultrasound image, and obtaining the ultrasound-based first pelvic floor assessment result value further comprises:
judging whether the first basin bottom evaluation result value is smaller than a preset normal value threshold value or not;
and if the first pelvic floor evaluation result value is smaller than a preset normal value threshold value, calibrating the bioelectricity stimulation output parameters of the pelvic floor muscle biofeedback acquisition system.
6. The pelvic floor calibration method of claim 1, wherein the bioelectrical stimulation output parameters include current magnitude, stimulation pulse frequency, and stimulation pulse width.
7. The pelvic floor calibration method according to any one of claims 1 to 6, further comprising:
and displaying the ultrasonic image of the pelvic floor muscle and the signal waveform of the bioelectrical signal of the pelvic floor muscle.
8. The pelvic floor calibration method of claim 7, further comprising:
acquiring basic information of a patient, wherein the basic information comprises name, age, birth times, postpartum days and patient chief complaint information;
generating a pelvic floor assessment report for the patient based on the patient's basic information, the first pelvic floor assessment result value, and the second pelvic floor assessment result value.
9. A pelvic floor assessment apparatus, comprising: memory, a processor and a pelvic floor assessment program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the pelvic floor calibration method according to any of claims 1 to 8.
10. A computer-readable storage medium, having a pelvic floor assessment program stored thereon, which when executed by a processor, performs the steps of the pelvic floor calibration method of any one of claims 1 to 8.
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| CN116099123A (en) * | 2023-04-12 | 2023-05-12 | 深圳市康美生科技有限公司 | Electrical stimulation rehabilitation instrument capable of self-calibrating test |
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