CN119157509A - A method and system for intelligent monitoring of fetal heart rate in obstetrics - Google Patents
A method and system for intelligent monitoring of fetal heart rate in obstetrics Download PDFInfo
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Abstract
The invention discloses an intelligent fetal heart monitoring method and system for obstetrics, and relates to the technical field of medical monitoring. The system integrates a multi-mode sensing monitoring unit, an intelligent data processing technology, a remote data analysis platform and an intelligent device application program. The system comprehensively collects fetal heart data through the multidimensional sensors such as fetal heart sound, vibration and temperature, and the like, and the data are cleaned, compressed and encrypted by using an intelligent algorithm so as to ensure the accuracy and the safety of the data. The remote data analysis platform analyzes the fetal heart data in real time and provides personalized medical advice. The intelligent device application program provides convenient user interaction and supports the synchronization of the custom monitoring plan and the data cloud. Overall, the invention realizes comprehensiveness, accuracy and real-time performance of fetal heart monitoring, improves the efficiency and safety of maternal and infant health monitoring, and provides a powerful health guarantee tool for medical staff and pregnant women.
Description
Technical Field
The invention belongs to the technical field of medical monitoring, and particularly relates to an intelligent fetal heart monitoring method and system for obstetrics.
Background
Fetal heart monitoring is one of the important means of assessing fetal health in existing obstetrical medical practice. The traditional fetal heart monitoring method mainly depends on a doctor to manually operate a stethoscope or a fetal heart monitor, and the method has the problems of low monitoring frequency, insufficient data accuracy, incapability of real-time feedback and the like. In addition, although some existing fetal heart monitoring equipment realizes automatic monitoring, only a single sensor is often adopted, fetal heart information is difficult to comprehensively capture, data processing and transmission modes are simpler, traditional fetal heart monitoring equipment is connected by wires, the moving range of a pregnant woman is limited, and the data transmission process is easily interfered, so that the real-time performance of data is poor, and the requirements of modern obstetrical medical treatment on efficient, accurate and personalized monitoring cannot be met.
In addition, in recent years, with the rapid development of the internet of things, big data and artificial intelligence technology, intelligent medical monitoring equipment gradually enters the market. However, most of fetal heart monitoring equipment in the current market has the defects that firstly, the sensor is single in type, monitoring data is not comprehensive enough, secondly, a data processing technology is advanced enough, noise and abnormal values are difficult to effectively remove, so that a monitoring result is not accurate enough, thirdly, a data transmission and storage mode is not safe enough, the risk of data leakage exists, and fourthly, a personalized medical advice function is lacking, so that the personalized requirements of pregnant women cannot be met.
Disclosure of Invention
The invention aims to provide a fetal heart intelligent monitoring method and system for obstetrics, which realize comprehensive, real-time and accurate monitoring of fetal heart data of pregnant women and provision of personalized medical advice by integrating a multi-mode sensing monitoring unit, an intelligent data processing technology and a remote data analysis platform.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an intelligent fetal heart monitoring method for obstetrics, which comprises the following steps:
S1, deploying and using a multi-mode sensing monitoring unit to acquire fetal heart data of a pregnant woman in real time;
s2, transmitting the acquired fetal heart data to a smart phone or other intelligent devices through a wireless communication technology;
s3, removing noise and abnormal values by adopting a high-efficiency data cleaning algorithm, reducing data transmission quantity by a data compression technology, and encrypting data by using an AES-256 bit encryption algorithm;
s4, the intelligent equipment transmits the processed fetal heart data to a remote data analysis platform through stable network connection;
S5, the remote data analysis platform analyzes the received fetal heart data in real time, transmits an analysis result to the intelligent equipment, and generates alarm information when abnormality is found;
and S6, informing the alarm information to the pregnant woman and/or medical staff through the intelligent equipment, and providing real-time data, history record and personalized medical advice for fetal heart monitoring.
As a preferable technical scheme of the invention, the invention further comprises the following measures:
performing self-adaptive calibration on the multi-mode sensing monitoring unit to adapt to the body types and fetal heart position changes of different pregnant women;
the visualization of fetal heart data, including a waveform chart, a heart rate value and a trend chart, is realized in the intelligent equipment, so that a user can more intuitively understand the monitoring result;
the remote data analysis platform integrates a machine learning algorithm, can perform self-optimization according to historical data and user feedback, and improves analysis accuracy and applicability of personalized suggestions;
The remote control function of the intelligent equipment is realized, and medical staff is allowed to remotely access monitoring data and adjust monitoring parameters.
As a preferred technical solution of the present invention, an application program is installed in the smart phone or the smart device, and the application program installed in the smart device has the following user interaction functions:
A monitoring plan is customized, and a user is allowed to set monitoring time, frequency and alarm threshold according to requirements;
the data cloud is synchronized, monitoring data is automatically uploaded to the cloud, and data synchronization among multiple devices is supported;
A data analysis report, periodically generating a fetal heart monitoring report, which comprises a data analysis chart, health advice and trend prediction;
and the visual user interface displays real-time data, a historical trend chart and an abnormal alarm of fetal heart monitoring and supports sliding, zooming and touch operation.
As a preferable technical scheme of the invention, the remote data analysis platform adopts an artificial intelligent algorithm to build an intelligent analysis model to carry out deep analysis on fetal heart data, evaluates the change trend of fetal health conditions, and generates personalized medical advice, wherein the artificial intelligent algorithm is a wavelet analysis algorithm.
As a preferred technical solution of the present invention, the building step of the intelligent analysis model includes:
signal acquisition, namely acquiring fetal heart Doppler signals in real time through a wireless fetal heart monitoring sensor;
signal preprocessing, namely performing low-pass filtering, absolute value operation and envelope extraction preprocessing on the acquired multi-source signals to filter high-frequency noise and interference;
wavelet decomposition, namely selecting proper wavelet base and decomposition layer number, and performing wavelet decomposition on the preprocessed signal;
threshold processing, namely performing threshold quantization processing on the decomposed high-frequency coefficient to inhibit noise;
Wavelet reconstruction, namely performing wavelet reconstruction according to the processed high-frequency coefficient and low-frequency coefficient to obtain a denoised fetal heart signal;
Fetal heart rate calculation, namely calculating fetal heart rate period through low-frequency signals, and further obtaining the fetal heart rate.
An obstetrical fetal heart intelligent monitoring system for implementing the above method, comprising:
The multi-mode sensing monitoring unit comprises a plurality of wireless fetal heart monitoring sensors and is used for acquiring fetal heart data of a pregnant woman in real time;
The intelligent equipment is used as a relay station for data transmission, receives the fetal heart data from the fetal heart monitoring sensor, performs preliminary processing on the data, and then sends the data to the remote data analysis platform through stable network connection, and provides a user interface for a user to check the fetal heart monitoring information;
The remote data analysis platform is used for receiving the fetal heart data from the intelligent equipment, carrying out real-time analysis and processing, generating alarm information, and providing real-time data, historical records and personalized medical advice for fetal heart monitoring.
As a preferred embodiment of the present invention, the multi-mode sensing and monitoring unit includes:
Four main wireless fetal heart monitoring sensors which are respectively designed to be attached to different positions of the abdomen of the pregnant woman and comprise sensors at the upper part, the lower part and the two sides, wherein each sensor is integrated with a fetal heart sound collector, a fetal heart vibration sensor and a temperature sensor, and is used for capturing fetal heart information in a multi-dimensional manner;
the auxiliary wireless fetal heart monitoring sensor is designed into a portable waistband type, is internally integrated with a low-power-consumption fetal heart sound collector and a vibration sensor, is used for daily auxiliary monitoring, has an automatic awakening function, and can monitor according to a preset time interval or the activity state of a pregnant woman.
As a preferable technical scheme of the invention, the main wireless fetal heart monitoring sensor comprises a sucker which is in contact with skin and a sensor main body which is arranged on the sucker, wherein the sucker is a flexible sucker, and a medical-grade adhesive is arranged on the periphery of the sucker.
As a preferable mode of the present invention, the secondary wireless fetal heart monitoring sensor includes a belt and a sensor main body mounted on the belt.
As a preferable technical scheme, the invention also comprises a data safety protection mechanism for ensuring the safety of the fetal heart monitoring data in the transmission, storage and processing processes;
the data security protection mechanism adopts the following measures:
In the transmission process of the data between the intelligent equipment and the remote data analysis platform, the TLS/SSL protocol is adopted for encryption, so that the safety of data transmission is ensured;
The remote data analysis platform adopts a firewall, an intrusion detection system and a data backup and recovery mechanism, so that the safety of data storage and processing is ensured;
the user can set data access rights through the intelligent device, and control which data can be checked or shared by which personnel.
The invention has the following beneficial effects:
The invention realizes comprehensive, accurate and real-time monitoring of fetal heart data of pregnant women and provides personalized medical advice through technical means such as multi-mode sensing monitoring, intelligent data processing, remote real-time analysis and the like. The system has the advantages of comprehensive, accurate, safe and personalized data, can remarkably improve the monitoring efficiency and accuracy, provides more timely and effective health information for medical staff and pregnant women, and is beneficial to ensuring the health of the mother and the infant.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an intelligent fetal heart monitoring method for obstetrical department in the present invention;
FIG. 2 is a step of constructing an intelligent analysis model according to the present invention;
Fig. 3 is a schematic diagram of the monitoring system mentioned in the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The fetal heart intelligent monitoring method for obstetrics comprises the following steps of S1, deploying and using a multi-mode sensing monitoring unit to collect fetal heart data of a pregnant woman in real time, S2, transmitting the collected fetal heart data to a smart phone or other intelligent equipment through a wireless communication technology, S3, adopting an efficient data cleaning algorithm to remove noise and abnormal values, then reducing data transmission quantity through a data compression technology, and conducting encryption processing on the data through an AES-256 bit encryption algorithm, S4, transmitting the processed fetal heart data to a remote data analysis platform through a stable network connection through the intelligent equipment, S5, conducting real-time analysis on the received fetal heart data by the remote data analysis platform, transmitting analysis results to the intelligent equipment, and generating alarm information when abnormality is found, S6, notifying the alarm information to the pregnant woman and/or medical staff through the intelligent equipment, and providing real-time data, historical records and personalized medical advice of fetal heart monitoring.
The embodiment explains the method in detail, integrates a plurality of links such as modern sensing technology, wireless communication, data processing and encryption, remote data analysis and feedback and the like, and aims to provide high-efficiency, safe and real-time fetal heart monitoring service. The following is a further analysis of the steps:
S1, deploying and using a multi-mode sensing monitoring unit to acquire fetal heart data of a pregnant woman in real time;
The multi-mode sensing monitoring unit integrates various sensors and can comprehensively and accurately capture fetal heart signals. These sensors acquire fetal heart data in real time by non-invasive means, such as placement on the abdomen of a pregnant woman. And collecting in real time, namely ensuring the freshness and accuracy of the data and providing a reliable basis for subsequent monitoring and analysis.
S2, transmitting the acquired fetal heart data to a smart phone or other intelligent devices through a wireless communication technology;
The wireless communication technology in the step is that the rapid and stable transmission of fetal heart data from the monitoring unit to the intelligent equipment is realized by utilizing the wireless communication technologies such as Bluetooth, wi-Fi, loRa, NB-I oT and the like.
The intelligent mobile phone or other intelligent equipment is used as a terminal for data receiving and preliminary processing, has portability and usability, and is convenient for pregnant women to monitor the fetal heart anytime and anywhere.
S3, data processing and encryption;
The method specifically comprises the following steps of data cleaning, namely adopting a high-efficiency data cleaning algorithm such as filtering, denoising, outlier detection and the like, improving the accuracy and reliability of data, and data compression, namely reducing the data transmission quantity through a data compression technology, reducing the network bandwidth requirement and improving the transmission efficiency. And (3) encrypting the data, namely encrypting the data by using an AES-256 bit encryption algorithm, so that the safety of the data in the transmission and storage processes is ensured, and the data leakage and illegal access are prevented.
S4, the intelligent equipment transmits the processed fetal heart data to a remote data analysis platform;
the specific implementation requirement is that the stable network connection is realized, and the stable and reliable data transmission between the intelligent equipment and the remote data analysis platform is ensured. The remote data analysis platform has strong data processing and analysis capability and can receive, process and analyze fetal heart data in real time.
S5, the remote data analysis platform analyzes the fetal heart data in real time and generates alarm information
And (3) analyzing the fetal heart data in real time by using an advanced algorithm and model, and identifying abnormal fetal heart conditions. Alarm information, namely generating alarm information immediately once the abnormal fetal heart is found, so as to inform related personnel in time.
And S6, informing the alarm information to the pregnant woman and/or medical staff through the intelligent equipment, and providing real-time data, history record and personalized medical advice for fetal heart monitoring.
The method mainly comprises the steps of informing a pregnant woman and/or medical staff of alarm information through sound, vibration, screen display and the like by intelligent equipment, providing real-time data and history of fetal heart monitoring, helping the pregnant woman and the medical staff to comprehensively know the fetal heart condition, and providing personalized medical advice and guidance according to the fetal heart monitoring result and the personal condition of the pregnant woman.
In summary, the intelligent fetal heart monitoring method for obstetrical department provided by the embodiment realizes the intellectualization, real-time and safety of fetal heart monitoring through the close coordination of links such as multi-mode sensing monitoring, wireless transmission, data processing and encryption, remote analysis and feedback, and provides convenient and efficient fetal heart monitoring service for pregnant women and medical staff.
Example two
Based on the first embodiment, the embodiment is different in that the method further comprises the following steps:
performing self-adaptive calibration on the multi-mode sensing monitoring unit to adapt to the body types and fetal heart position changes of different pregnant women;
the visualization of fetal heart data, including a waveform chart, a heart rate value and a trend chart, is realized in the intelligent equipment, so that a user can more intuitively understand the monitoring result;
the remote data analysis platform integrates a machine learning algorithm, can perform self-optimization according to historical data and user feedback, and improves analysis accuracy and applicability of personalized suggestions;
The remote control function of the intelligent equipment is realized, and medical staff is allowed to remotely access monitoring data and adjust monitoring parameters.
The method and the device further enhance the functionality and user experience of the fetal heart intelligent monitoring system based on the first embodiment, and enable the whole monitoring process to be more accurate, visual and flexible by introducing the functions of self-adaptive calibration, data visualization, machine learning algorithm optimization, remote control and the like. The following is a detailed analysis of each newly added measure:
Adaptive calibration of a multi-modal sensing monitoring unit
Adaptive calibration-taking into account the differences in body type and dynamic changes in fetal heart position of different pregnant women, the embodiment introduces an adaptive calibration mechanism. The mechanism can automatically adjust the parameters and the positions of the sensing monitoring units according to the body type characteristics of the pregnant women and the real-time change of the fetal heart positions, and ensure the accurate acquisition of fetal heart data. This helps to improve the reliability and accuracy of the monitoring results.
Implementing visualization of fetal heart data in intelligent devices
And the intelligent equipment is used as a terminal for data transmission and integrates the function of data visualization. The fetal heart data is displayed in various forms such as a waveform chart, a heart rate value and a trend chart, so that a user can intuitively know the change trend and the current state of the fetal heart. The visual display mode is helpful for users to better understand the monitoring result and discover abnormal conditions in time.
Remote data analysis platform integrated machine learning algorithm
The remote data analysis platform integrates an advanced machine learning algorithm, and can perform self-optimization according to historical monitoring data and user feedback. Through continuous learning and iteration, the algorithm can more accurately identify the abnormal fetal heart mode, and the analysis accuracy and the applicability of personalized advice are improved. This intelligent treatment is helpful to provide more accurate and personalized medical services for pregnant women.
Remote control function of intelligent equipment
Remote control in order to facilitate the remote management and guidance of medical staff, the embodiment realizes the remote control function of the intelligent equipment. The medical staff can check the fetal heart monitoring data of the pregnant women in a remote access mode, and adjust the monitoring parameters or give instruction suggestions according to the needs. The remote control mode is beneficial to strengthening the communication and cooperation between the medical staff and the pregnant woman and improving the efficiency and quality of medical service.
In summary, the performance and user experience of the fetal heart intelligent monitoring system are further improved by introducing the functions of self-adaptive calibration, data visualization, machine learning algorithm optimization, remote control and the like. The measures not only improve the accuracy and reliability of the monitoring result, but also enhance the intelligent and personalized service capability of the system, and provide more convenient, efficient and accurate fetal heart monitoring service for pregnant women and medical staff.
Example III
Based on the first embodiment, the difference of the present embodiment is that an application program is installed in a smart phone or a smart device, and the application program installed in the smart device has the following user interaction functions:
The method comprises the steps of customizing a monitoring plan, allowing a user to set monitoring time, frequency and alarm threshold according to requirements, synchronizing data cloud, automatically uploading monitoring data to a cloud end to support data synchronization among multiple devices, periodically generating a fetal heart monitoring report including a data analysis chart, health suggestions and trend predictions, displaying real-time data, a historical trend chart and abnormal alarms of fetal heart monitoring through an intuitive user interface, and supporting sliding, zooming and touch operation.
The embodiment obviously enhances the user interaction function and experience through the application program installed in the smart phone or the smart device on the basis of the first embodiment. The following is a detailed analysis of the newly added user interaction functions:
The method comprises the steps of defining a monitoring plan, setting the monitoring plan, wherein an application program allows a user to flexibly set the time, frequency and alarm threshold of fetal heart monitoring according to own requirements. The personalized setting not only meets the monitoring requirements of different pregnant women, but also improves the pertinence and the effectiveness of the monitoring.
The flexibility is that the user can adjust the monitoring plan at any time to adapt to the change of different stages of pregnancy or the requirement of special conditions.
The cloud monitoring system comprises a cloud server, a cloud monitoring server and an application program. By the aid of the method, safety and reliability of data are guaranteed, and users can switch and view the data between different devices in a seamless mode.
The multi-device synchronization is supported, so that the user can check and manage the fetal heart monitoring data on a plurality of devices such as a mobile phone, a tablet or a computer, and the convenience of use is improved.
Data analysis reports, periodic generation, applications being able to generate fetal heart monitoring reports on a periodic basis (e.g., daily, weekly or monthly). These reports not only contain detailed data analysis charts, but also provide health advice and trend predictions to help users better understand fetal heart conditions.
The information is rich, the report content is comprehensive, the current fetal heart data is analyzed in real time, the historical data is analyzed in trend, and comprehensive health references are provided for users.
The real-time data display is clear and visual, and can display the current data of fetal heart monitoring, such as heart rate values, waveform diagrams and the like in real time.
The historical trend chart provides a historical trend chart function, and a user can check the historical change trend of the fetal heart data to know the fluctuation condition of the fetal heart in different time periods.
And (3) an abnormal alarm, namely, once an abnormality is found in the monitoring process, the application program immediately gives an alarm in a sound, vibration or screen prompt mode and the like to remind a user of the abnormality.
And the touch operation supports various operation modes such as sliding, zooming and touch, and the user can check and manage fetal heart monitoring data through simple operation, so that the convenience and the interactivity of use are improved.
In summary, the embodiment provides the user with rich user interaction functions and intuitive operation interfaces through the application program installed in the smart phone or the smart device. These functions not only enhance the personalized settings and data analysis capabilities of fetal heart monitoring, but also enhance the user experience and satisfaction.
Example IV
Based on the first embodiment, the present embodiment is different in that:
As shown in fig. 2, the remote data analysis platform adopts an artificial intelligent algorithm to build an intelligent analysis model to carry out deep analysis on fetal heart data, evaluates the change trend of fetal health conditions, and generates personalized medical advice, wherein the artificial intelligent algorithm is a wavelet analysis algorithm.
The intelligent analysis model building method comprises the steps of collecting fetal heart Doppler signals in real time through a wireless fetal heart monitoring sensor, preprocessing the signals, namely carrying out low-pass filtering, absolute value operation and envelope extraction preprocessing on the collected multi-source signals to filter high-frequency noise and interference, carrying out wavelet decomposition on the preprocessed signals, namely selecting proper wavelet bases and decomposition layers, carrying out wavelet decomposition on the preprocessed signals, carrying out threshold value quantization processing on the decomposed high-frequency coefficients to inhibit noise, carrying out wavelet reconstruction according to the processed high-frequency coefficients and low-frequency coefficients to obtain denoised fetal heart signals, and carrying out fetal heart rate calculation, namely calculating fetal heart rate through the low-frequency signals to obtain the fetal heart rate.
In the embodiment, by introducing a remote data analysis platform and an artificial intelligence algorithm, the intelligent level of fetal heart monitoring and the quality of personalized medical service are remarkably improved, the artificial intelligence algorithm is utilized to carry out deep analysis on fetal heart data, and the change trend of fetal health condition is estimated. The intelligent analysis can find out the tiny change which is difficult to be perceived by the traditional method, and provides a more comprehensive and accurate diagnosis basis for doctors.
The invention further provides a fetal heart intelligent monitoring system for obstetrics, which is shown in fig. 3, and comprises a multi-mode sensing monitoring unit, at least one intelligent device, a remote data analysis platform and a remote data analysis platform, wherein the multi-mode sensing monitoring unit comprises a plurality of wireless fetal heart monitoring sensors and is used for collecting fetal heart data of pregnant women in real time, the intelligent device is used as a relay station for data transmission, receives the fetal heart data from the fetal heart monitoring sensors, performs primary processing on the data, sends the data to the remote data analysis platform through a stable network connection and provides a user interface for a user to check fetal heart monitoring information, and the remote data analysis platform is used for receiving the fetal heart data from the intelligent device, performing real-time analysis and processing to generate alarm information and providing real-time data, historical records and personalized medical advice of the fetal heart monitoring.
The multi-mode sensing monitoring unit comprises four main wireless fetal heart monitoring sensors which are respectively designed to be attached to different positions of the abdomen of a pregnant woman, and comprise sensors above, below and on two sides, wherein each sensor is integrated with a fetal heart sound collector, a fetal heart vibration sensor and a temperature sensor, and captures fetal heart information in multiple dimensions, and one auxiliary wireless fetal heart monitoring sensor is designed to be a portable waistband type, is internally integrated with the fetal heart sound collector and the vibration sensor with low power consumption, is used for daily auxiliary monitoring, has an automatic wake-up function, and can monitor according to a preset time interval or the activity state of the pregnant woman. The main wireless fetal heart monitoring sensor comprises a sucker which is in contact with skin and a sensor main body which is arranged on the sucker, wherein the sucker is a flexible sucker, and a medical-grade adhesive is arranged on the periphery of the sucker. The secondary wireless fetal heart monitoring sensor comprises a waistband and a sensor main body arranged on the waistband. The tire core monitoring system also comprises a data safety protection mechanism for ensuring the safety of the tire core monitoring data in the transmission, storage and processing processes, wherein the data safety protection mechanism adopts the following measures:
The data is encrypted by adopting a TLS/SSL protocol in the transmission process between the intelligent equipment and the remote data analysis platform, so that the safety of data transmission is ensured, the remote data analysis platform adopts a firewall, an intrusion detection system and a data backup and recovery mechanism, so that the safety of data storage and processing is ensured, and a user can set data access authority through the intelligent equipment to control which data can be checked or shared by which personnel.
In this embodiment, the system integrates a multi-mode sensing monitoring unit, an intelligent device and a remote data analysis platform, provides accurate and real-time fetal heart monitoring service for pregnant women through a highly collaborative workflow, and generates personalized medical advice.
The specific system composition is as follows:
multimode sensing monitoring unit:
Four main wireless fetal heart monitoring sensors which are carefully designed to fit different positions (upper, lower and two sides) of the abdomen of the pregnant woman, so that fetal heart information can be comprehensively captured. Each sensor integrates a fetal heart sound collector, a fetal heart vibration sensor and a temperature sensor, fetal heart data are collected from multiple dimensions, and monitoring accuracy and reliability are improved.
The sucker design is that the main sensor is contacted with the skin by adopting a flexible sucker, and the medical adhesive is arranged on the periphery of the sucker, so that the sensor can be firmly attached to the abdomen of a pregnant woman, and meanwhile, the stimulation and uncomfortable feeling to the skin are reduced.
The auxiliary wireless fetal heart monitoring sensor is designed into a portable waistband type, and is convenient for daily wearing. The sensor is internally integrated with the fetal heart sound collector and the vibration sensor with low power consumption, has an automatic wake-up function, can automatically monitor according to a preset time interval or the activity state of a pregnant woman, effectively prolongs the service life of a battery and reduces unnecessary interference.
Intelligent equipment:
as a relay station for data transmission, the intelligent device is responsible for receiving fetal heart data from the multi-mode sensing and monitoring unit.
Preliminary processing is performed on the data, such as data compression, encryption and the like, so as to ensure the safety and the integrity of the data in the transmission process.
The processed data is sent to a remote data analysis platform via a stable network connection (e.g., wi-F i, bluetooth, or cellular network).
And providing an intuitive user interface for a user to check the real-time data, the history record and the alarm information of fetal heart monitoring.
Remote data analysis platform:
Fetal heart data from the intelligent device is received and analyzed and processed in real time using advanced artificial intelligence algorithms.
And (5) evaluating the variation trend of the fetal health condition, finding out abnormal conditions in time and generating alarm information.
Real-time data, historical records and personalized medical advice of fetal heart monitoring are provided, medical staff and pregnant women are helped to better know fetal conditions, and scientific and reasonable health management schemes are formulated.
System advantage
And the multi-dimensional monitoring is realized by a multi-mode sensing monitoring unit, so that the multi-dimensional information such as fetal heart sound, vibration, temperature and the like is comprehensively captured, and the monitoring accuracy and reliability are improved.
The personalized setting is that the intelligent equipment supports a custom monitoring plan, allows a user to set monitoring time, frequency and alarm threshold according to requirements, and meets personalized requirements of different pregnant women.
And the remote analysis and management is that the remote data analysis platform utilizes an artificial intelligent algorithm to carry out deep analysis, provides personalized medical advice, simultaneously supports medical staff to remotely access monitoring data and adjust monitoring parameters, and improves the efficiency and quality of medical service.
The intelligent equipment provides an visual user interface, supports sliding, zooming and touch operation, and is convenient for a user to check fetal heart monitoring information and receive alarm information.
In summary, the fetal heart intelligent monitoring system for obstetrics provided by the invention provides comprehensive and accurate monitoring service for the health of pregnant women and fetuses through highly integrated hardware equipment and advanced data analysis technology, and is an important innovation in the field of modern obstetrical medical treatment.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. An obstetrical fetal heart intelligent monitoring method is characterized by comprising the following steps:
S1, deploying and using a multi-mode sensing monitoring unit to acquire fetal heart data of a pregnant woman in real time;
s2, transmitting the acquired fetal heart data to a smart phone or other intelligent devices through a wireless communication technology;
s3, removing noise and abnormal values by adopting a high-efficiency data cleaning algorithm, reducing data transmission quantity by a data compression technology, and encrypting data by using an AES-256 bit encryption algorithm;
s4, the intelligent equipment transmits the processed fetal heart data to a remote data analysis platform through stable network connection;
S5, the remote data analysis platform analyzes the received fetal heart data in real time, transmits an analysis result to the intelligent equipment, and generates alarm information when abnormality is found;
and S6, informing the alarm information to the pregnant woman and/or medical staff through the intelligent equipment, and providing real-time data, history record and personalized medical advice for fetal heart monitoring.
2. A method of intelligent fetal heart monitoring for obstetrics according to claim 1, further comprising the steps of:
performing self-adaptive calibration on the multi-mode sensing monitoring unit to adapt to the body types and fetal heart position changes of different pregnant women;
the visualization of fetal heart data, including a waveform chart, a heart rate value and a trend chart, is realized in the intelligent equipment, so that a user can more intuitively understand the monitoring result;
the remote data analysis platform integrates a machine learning algorithm, can perform self-optimization according to historical data and user feedback, and improves analysis accuracy and applicability of personalized suggestions;
The remote control function of the intelligent equipment is realized, and medical staff is allowed to remotely access monitoring data and adjust monitoring parameters.
3. A fetal heart rate intelligent monitoring method for obstetrics according to claim 1, wherein an application program is installed in the smart phone or the smart device, and the application program installed in the smart device has the following user interaction functions:
A monitoring plan is customized, and a user is allowed to set monitoring time, frequency and alarm threshold according to requirements;
the data cloud is synchronized, monitoring data is automatically uploaded to the cloud, and data synchronization among multiple devices is supported;
A data analysis report, periodically generating a fetal heart monitoring report, which comprises a data analysis chart, health advice and trend prediction;
and the visual user interface displays real-time data, a historical trend chart and an abnormal alarm of fetal heart monitoring and supports sliding, zooming and touch operation.
4. The intelligent fetal heart monitoring method for obstetrics according to claim 1, wherein the remote data analysis platform uses an artificial intelligence algorithm to build an intelligent analysis model to carry out deep analysis on fetal heart data, evaluates the change trend of fetal health conditions, and generates personalized medical advice, and the artificial intelligence algorithm is a wavelet analysis algorithm.
5. A fetal heart rate intelligent monitoring method as claimed in claim 4, wherein the intelligent analysis model building step comprises:
signal acquisition, namely acquiring fetal heart Doppler signals in real time through a wireless fetal heart monitoring sensor;
signal preprocessing, namely performing low-pass filtering, absolute value operation and envelope extraction preprocessing on the acquired multi-source signals to filter high-frequency noise and interference;
wavelet decomposition, namely selecting proper wavelet base and decomposition layer number, and performing wavelet decomposition on the preprocessed signal;
threshold processing, namely performing threshold quantization processing on the decomposed high-frequency coefficient to inhibit noise;
Wavelet reconstruction, namely performing wavelet reconstruction according to the processed high-frequency coefficient and low-frequency coefficient to obtain a denoised fetal heart signal;
Fetal heart rate calculation, namely calculating fetal heart rate period through low-frequency signals, and further obtaining the fetal heart rate.
6. A fetal heart intelligent monitoring system for obstetrics, for implementing the fetal heart intelligent monitoring method for obstetrics as described in any one of the above 1-5, characterized by comprising:
The multi-mode sensing monitoring unit comprises a plurality of wireless fetal heart monitoring sensors and is used for acquiring fetal heart data of a pregnant woman in real time;
The intelligent equipment is used as a relay station for data transmission, receives the fetal heart data from the fetal heart monitoring sensor, performs preliminary processing on the data, and then sends the data to the remote data analysis platform through stable network connection, and provides a user interface for a user to check the fetal heart monitoring information;
The remote data analysis platform is used for receiving the fetal heart data from the intelligent equipment, carrying out real-time analysis and processing, generating alarm information, and providing real-time data, historical records and personalized medical advice for fetal heart monitoring.
7. A fetal heart rate intelligent monitoring system for obstetrics as in claim 6, wherein the multi-modal sensory monitoring unit comprises:
Four main wireless fetal heart monitoring sensors which are respectively designed to be attached to different positions of the abdomen of the pregnant woman and comprise sensors at the upper part, the lower part and the two sides, wherein each sensor is integrated with a fetal heart sound collector, a fetal heart vibration sensor and a temperature sensor, and is used for capturing fetal heart information in a multi-dimensional manner;
the auxiliary wireless fetal heart monitoring sensor is designed into a portable waistband type, is internally integrated with a low-power-consumption fetal heart sound collector and a vibration sensor, is used for daily auxiliary monitoring, has an automatic awakening function, and can monitor according to a preset time interval or the activity state of a pregnant woman.
8. A fetal heart monitoring system as claimed in claim 7, wherein the primary wireless fetal heart monitoring sensor comprises a suction cup in contact with the skin and a sensor body mounted on the suction cup, the suction cup is a flexible suction cup, and a medical grade adhesive is provided on the peripheral side of the suction cup.
9. A fetal heart monitoring system as claimed in claim 7 wherein the secondary wireless fetal heart monitoring sensor comprises a belt and a sensor body mounted on the belt.
10. A fetal heart rate intelligent monitoring system for obstetrics as claimed in claim 6, further comprising a data security mechanism to ensure the security of the fetal heart rate monitoring data during transmission, storage and processing;
the data security protection mechanism adopts the following measures:
In the transmission process of the data between the intelligent equipment and the remote data analysis platform, the TLS/SSL protocol is adopted for encryption, so that the safety of data transmission is ensured;
The remote data analysis platform adopts a firewall, an intrusion detection system and a data backup and recovery mechanism, so that the safety of data storage and processing is ensured;
the user can set data access rights through the intelligent device, and control which data can be checked or shared by which personnel.
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