Improved method, device and system for extracting uterine contraction from bioelectrical signals

Abstract

The present application relates to a method, device and system for improving the extraction of uterine contractions from bioelectric signals, wherein the method for improving the extraction of uterine contractions from bioelectric signals includes: obtaining lead data between an acquisition electrode and a reference electrode, determining virtual lead data between each acquisition electrode based on the lead data, and determining uterine contraction data corresponding to the virtual lead data based on the virtual lead data, further calculating the virtual lead data and uterine contraction data to obtain a lead quality index, and dynamically selecting target uterine contraction data output from each virtual lead data based on the lead quality index. Through the present application, the problem of being unable to effectively reduce the noise interference of the body surface on uterine myoelectric signals is solved, and the beneficial effect of improving the accuracy of uterine contraction data is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of uterine contraction monitoring, and in particular to a method, device and system for improving the extraction of uterine contraction from bioelectric signals. Background Art

[0002] Uterine contraction refers to the regular contraction of the uterus, and is an important monitoring indicator for clinical maternal examinations during the perinatal period and delivery. Uterine myoelectric signals are the manifestation and result of the excitation and contraction of uterine smooth muscle, and there is a high correspondence between uterine contraction pressure and uterine myoelectric signal intensity. Therefore, uterine myoelectric signals are usually collected clinically to obtain corresponding uterine contraction monitoring information.

[0003] The current uterine electromyography signal extraction method collects uterine electromyography signals by placing electrodes on the abdomen of pregnant women, and further, filters out the pulse noise in the uterine electromyography signals through frequency domain filtering to make the uterine electromyography signals more accurate. However, since the uterine electromyography signals come from the body surface, the collected uterine electromyography signals contain other electromyography signals and are affected by changes in skin impedance and contact resistance. The above single processing method cannot effectively filter out the noise in the uterine electromyography signals, resulting in inaccurate uterine contraction data.

[0004] With regard to the problem in related technologies that the noise interference of the body surface on uterine myoelectric signals cannot be effectively reduced, no effective solution has been proposed so far. Summary of the invention

[0005] In this embodiment, a method, device and system for improving the extraction of uterine contraction from bioelectric signals are provided to solve the problem in the related art that the noise interference of the body surface on the uterine myoelectric signals cannot be effectively reduced.

[0006] In the first aspect, a method for improving the extraction of uterine contraction of bioelectric signals is provided in this embodiment, which is applicable to a bioelectric signal collection system; the collection system comprises: a reference electrode and a plurality of collection electrodes, the reference electrode is contacted and arranged at the pubic symphysis of the body surface, the collection electrode is contacted and arranged at the abdominal body surface, the reference electrode is connected to the collection electrode, and the collection electrodes are connected to each other; the method comprises:

[0007] Acquiring lead data between the acquisition electrode and the reference electrode;

[0008] Based on the lead data, determining virtual lead data between the acquisition electrodes;

[0009] Determining, according to the virtual lead data, the uterine contraction data corresponding to the virtual lead data;

[0010] The virtual lead data and the uterine contraction data are calculated to obtain a lead quality index, and according to the lead quality index, target uterine contraction data are dynamically selected from each of the virtual lead data for output.

[0011] In some embodiments, the step of obtaining lead data between the acquisition electrode and the reference electrode includes:

[0012] The collecting electrodes include a first collecting electrode, a second collecting electrode and a third collecting electrode;

[0013] The first lead data between the first acquisition electrode and the reference electrode, the second lead data between the second acquisition electrode and the reference electrode, and the third lead data between the third acquisition electrode and the reference electrode are acquired.

[0014] In some embodiments, determining virtual lead data between the acquisition electrodes based on the lead data includes:

[0015] Calculating the first lead data and the second lead data to obtain first virtual lead data;

[0016] Calculating the second lead data and the third lead data to obtain second virtual lead data;

[0017] The third virtual lead data is determined according to the correlation between the first virtual lead data and the second virtual lead data.

[0018] In some embodiments, the calculating of the virtual lead data and the uterine contraction data comprises:

[0019] Acquiring time domain characteristics and frequency domain characteristics of the virtual lead data;

[0020] The time domain characteristic is compared with a threshold range corresponding to the virtual lead data to obtain a time domain value, and the frequency domain characteristic is compared with a threshold range corresponding to the virtual lead data to obtain a frequency domain value.

[0021] In some embodiments, the calculating of the virtual lead data and the uterine contraction data comprises:

[0022] Acquiring a waveform of the uterine contraction data;

[0023] The waveform of the virtual lead data is compared with the standard waveform to obtain a waveform value.

[0024] In some embodiments, the method further comprises:

[0025] Determining the uterine contraction data corresponding to the lead data according to the lead data;

[0026] The lead data and the uterine contraction data are calculated to obtain the lead quality index, and the target uterine contraction data is dynamically selected from each of the lead data for output according to the lead quality index.

[0027] In the second aspect, in the present embodiment, a device for improving the extraction of uterine contraction of bioelectric signals is provided, which is applicable to a bioelectric signal collection system; the collection system comprises: a reference electrode and a plurality of collection electrodes, the reference electrode is contacted and arranged at the pubic symphysis of the body surface, the collection electrode is contacted and arranged at the abdominal body surface, the reference electrode is connected to the collection electrode, and the collection electrodes are connected to each other; the device comprises:

[0028] An acquisition module, for acquiring lead data between the acquisition electrode and the reference electrode;

[0029] An expansion module, based on the lead data, determines virtual lead data between the acquisition electrodes;

[0030] A processing module, which determines the uterine contraction data corresponding to the virtual lead data according to the virtual lead data;

[0031] The selection module calculates the virtual lead data and the uterine contraction data to obtain a lead quality index, and dynamically selects target uterine contraction data to output from each of the virtual lead data according to the lead quality index.

[0032] In the third aspect, a bioelectric signal acquisition system is provided in this embodiment, the system comprising: a reference electrode and a plurality of acquisition electrodes, the reference electrode contacting and arranged at the pubic symphysis of the body surface, the acquisition electrode contacting and arranged at the abdominal body surface, the reference electrode and the acquisition electrode being connected, and the acquisition electrodes being connected to each other.

[0033] In a fourth aspect, a computer device is provided in this embodiment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for improving the extraction of uterine contraction from bioelectric signals as described in the first aspect above is implemented.

[0034] In a fifth aspect, in this embodiment, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method for improving the extraction of uterine contraction from bioelectric signals as described in the first aspect above is implemented.

[0035] Compared with the related art, the improved method, device and system for bioelectric signal uterine contraction extraction provided in the present embodiment obtains the lead data between the acquisition electrode and the reference electrode, determines the virtual lead data between each acquisition electrode based on the lead data, and determines the uterine contraction data corresponding to the virtual lead data according to the virtual lead data. Furthermore, the virtual lead data and uterine contraction data are calculated to obtain the lead quality index, and according to the lead quality index, the target uterine contraction data output is dynamically selected from each virtual lead data, thereby solving the problem of being unable to effectively reduce the noise interference of the body surface on the uterine electromyographic signal, and achieving the beneficial effect of improving the accuracy of the uterine contraction data.

[0036] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0038] Figure 1 It is a hardware structure block diagram of a terminal device of a method for improving uterine contraction extraction of bioelectric signals provided in an embodiment of the present application;

[0039] Figure 2 is a flow chart of a method for improving uterine contraction extraction of bioelectric signals provided by an embodiment of the present application;

[0040] Figure 3 It is a logic diagram of dynamically selecting uterine contraction data output in a method for improving uterine contraction extraction of bioelectric signals provided in an embodiment of the present application;

[0041] Figure 4 This is a preferred flow chart of a method for improving uterine contraction extraction of bioelectric signals provided in an embodiment of the present application;

[0042] Figure 5 It is a structural schematic diagram of a system for improving uterine contraction extraction of bioelectric signals provided in an embodiment of the present application;

[0043] Figure 6 It is a structural block diagram of a device for improving the extraction of uterine contraction from bioelectric signals provided in one embodiment of the present application.

[0044] In the figure: 10, acquisition module; 20, expansion module; 30, processing module; 40, selection module. DETAILED DESCRIPTION

[0045] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0046] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the", "these" and the like in this application do not represent quantitative restrictions, and they can be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether directly or indirectly. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. Usually, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0047] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. For example, running on a terminal, Figure 1 is a hardware structure block diagram of a terminal of the method for improving uterine contraction extraction of bioelectric signal of this embodiment. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data, wherein processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. The above terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0048] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for improving the extraction of uterine contraction of bioelectric signals in the present embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0049] The transmission device 106 is used to receive or send data via a network. The above network includes a wireless network provided by the communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0050] In this embodiment, a method for improving the extraction of uterine contraction from bioelectric signals is provided. Figure 2 is a flow chart of the method for improving the extraction of uterine contraction from bioelectric signals of this embodiment. Figure 2 As shown, the process includes the following steps:

[0051] Step S210, obtaining lead data between the acquisition electrode and the reference electrode.

[0052] Specifically, in the bioelectric signal acquisition system, the reference electrode contact is set at the pubic symphysis on the body surface, and the acquisition electrode contact is set on the abdominal body surface. Based on the potential difference between the acquisition electrode and the reference electrode, the lead data between the acquisition electrode and the reference electrode is obtained.

[0053] Step S220: Determine virtual lead data between each acquisition electrode based on the lead data.

[0054] It is important to know that the degree to which lead data is affected by surface noise is related to the distance between electrodes. When the distance between electrodes is greater, the corresponding lead data is more susceptible to surface noise interference. Therefore, while obtaining the lead data between the acquisition electrode and the reference electrode, the virtual lead data between each acquisition electrode is monitored.

[0055] Step S230: determining uterine contraction data corresponding to the virtual lead data according to the virtual lead data.

[0056] Specifically, the virtual lead data is envelope extracted through bandpass filtering and low-pass filtering to obtain uterine contraction data corresponding to the virtual lead data, wherein the bandpass filter allows signals in a specific frequency range to pass through and reduces or eliminates signals with frequencies above and below the frequency band, while the low-pass filter allows signals with frequencies below the critical value to pass normally to obtain the low-frequency components in the signal.

[0057] Step S240, calculating the virtual lead data and the uterine contraction data to obtain a lead quality index, and dynamically selecting target uterine contraction data from each virtual lead data for output according to the lead quality index.

[0058] Specifically, the time domain value is obtained based on the comparison result of the time domain characteristics in the virtual lead data, the frequency domain value is obtained based on the comparison result of the frequency domain characteristics in the virtual lead data, and the waveform value is obtained based on the waveform comparison result of the uterine contraction data.

[0059] Furthermore, the above-mentioned time domain values, frequency domain values ​​and waveform values ​​are weighted averaged to obtain a lead quality index, and based on the lead quality index, the corresponding target uterine contraction data output is dynamically selected from each virtual lead data, wherein the accuracy of the uterine contraction data is positively correlated with the size of the lead quality index.

[0060] The current uterine electromyography signal extraction method collects uterine electromyography signals by placing electrodes on the abdomen of pregnant women, and further, filters out the pulse noise in the uterine electromyography signals through frequency domain filtering to make the uterine electromyography signals more accurate. However, since the uterine electromyography signals come from the body surface, the collected uterine electromyography signals contain other electromyography signals and are affected by changes in skin impedance and contact resistance. The above single processing method cannot effectively filter out the noise in the uterine electromyography signals, resulting in inaccurate uterine contraction data. It can be seen that the prior art uses frequency domain filtering on the output side of the uterine electromyographic signal, but this method cannot effectively reduce the noise interference of the body surface. Therefore, this embodiment changes the electrode position on the acquisition side to process the noise interference during the acquisition of the uterine electromyographic signal. Specifically, the reference electrode contact is set at the pubic symphysis of the body surface, and the acquisition electrode contact is set on the abdominal surface. The lead data between the acquisition electrode and the reference electrode are used to determine the virtual lead data and the corresponding uterine contraction data between each acquisition electrode. Furthermore, the lead quality index is calculated, and according to the lead quality index, the target uterine contraction data output is dynamically selected from each virtual lead data, thereby solving the problem of being unable to effectively reduce the noise interference of the body surface on the uterine electromyographic signal, and achieving the beneficial effect of improving the accuracy of the uterine contraction data.

[0061] In some embodiments, obtaining lead data between a collection electrode and a reference electrode comprises the following steps:

[0062] Step S211, the collecting electrodes include a first collecting electrode, a second collecting electrode and a third collecting electrode;

[0063] Step S212, acquiring first lead data between the first acquisition electrode and the reference electrode, second lead data between the second acquisition electrode and the reference electrode, and third lead data between the third acquisition electrode and the reference electrode.

[0064] Specifically, in the bioelectric signal acquisition system, the reference electrode is contacted and set at the pubic symphysis of the body surface, and the acquisition electrodes include a first acquisition electrode, a second acquisition electrode and a third acquisition electrode. The three acquisition electrodes are evenly contacted and set on the abdominal body surface, and the lead data between each acquisition electrode and the reference electrode is monitored to obtain three corresponding lead data.

[0065] It is important to know that based on the potential difference between each acquisition electrode and the reference electrode, the electrical activity of uterine muscle cells is detected by the electrodes during a monitoring period. This electrical activity can be described by resting potential and action potential, and thus converted into a waveform output to obtain a lead data waveform between each acquisition electrode and the reference electrode.

[0066] Through this embodiment, through the bioelectric signal acquisition system, the electrode position is changed on the acquisition side, and the lead data between each acquisition electrode and the reference electrode is obtained, so as to perform preliminary acquisition of uterine myoelectric signals.

[0067] In some embodiments, determining virtual lead data between each acquisition electrode based on the lead data includes the following steps:

[0068] Step S221, calculating the first lead data and the second lead data to obtain first virtual lead data;

[0069] Step S222, calculating the second lead data and the third lead data to obtain second virtual lead data;

[0070] Step S223: determining third virtual lead data according to the correlation between the first virtual lead data and the second virtual lead data.

[0071] Specifically, based on the above three lead data, the first virtual lead data is obtained by subtracting the second lead data from the first lead data, and the second virtual lead data is obtained by subtracting the second lead data from the third lead data.

[0072] It should be noted that there is a correlation between the first virtual lead data and the second virtual lead data, that is, the influence of some noise on the first virtual lead data and the second virtual lead data is consistent, and is manifested as follows: in the actual monitoring process, the effective signal value in the first virtual lead data is S1 and the noise value is N1, and the effective signal value in the second virtual lead data is S2 and the noise value is N1. Then, the total signal value SN1=S1+N1 is obtained from the first virtual lead data, and the total signal value SN2=S2+N2 is obtained from the second virtual lead data. Monitoring finds that the noise values ​​N1 and N2 are usually two very close values. Therefore, the values ​​of SN1-SN2 and S1-S2 are also very close.

[0073] Further, based on the above correlation, the third virtual lead data is obtained by subtracting the second virtual lead data from the first virtual lead data.

[0074] Through this embodiment, since the degree to which the lead data is affected by surface noise interference is related to the distance between the electrodes, while obtaining the lead data between each acquisition electrode and the reference electrode, the virtual lead data between the acquisition electrodes is monitored, thereby effectively reducing the noise interference of the body surface on the uterine electromyographic signal.

[0075] In some embodiments, calculating the virtual lead data and the uterine contraction data includes the following steps:

[0076] Step S231, obtaining time domain characteristics and frequency domain characteristics of virtual lead data;

[0077] Step S232, comparing the time domain characteristic with the threshold range corresponding to the virtual lead data to obtain a time domain value, and comparing the frequency domain characteristic with the threshold range corresponding to the virtual lead data to obtain a frequency domain value.

[0078] Specifically, the time domain characteristic of the virtual lead data describes the changing relationship between the waveform of the signal and time, while the frequency domain characteristic describes the changing relationship between the waveform of the signal and frequency.

[0079] What needs to be known is that the time domain characteristics are compared with the threshold range corresponding to the virtual lead data. The comparison indicators include the number of zero crossings and kurtosis of the virtual lead data waveform, where the number of zero crossings refers to the number of times the signal waveform passes through zero, and the kurtosis is the statistical characteristic of the signal, that is, the characteristic number of the peak height of the distribution curve at the mean. If the time domain characteristic value of the virtual lead data waveform is within the threshold range, the corresponding time domain value is higher, otherwise, the time domain value is lower.

[0080] Furthermore, the frequency domain characteristics are compared with the threshold range corresponding to the virtual lead data. The comparison indicators include the total energy, high-frequency proportion and low-frequency proportion of the virtual lead data waveform in the frequency domain. Based on Fourier transform, the square of the signal amplitude is integrated to obtain the total energy, and the proportion of high-frequency signals and low-frequency signals is analyzed. If the frequency domain characteristic value of the virtual lead data waveform is within the threshold range, the corresponding frequency domain value is higher, otherwise, the frequency domain value is lower.

[0081] Through this embodiment, signal features are extracted through time domain analysis and frequency domain analysis, and compared with a standard threshold range to obtain time domain values ​​and frequency domain values ​​to characterize the accuracy of the corresponding virtual lead data.

[0082] In some embodiments, calculating the virtual lead data and the uterine contraction data includes the following steps:

[0083] Step S241, obtaining the waveform of uterine contraction data;

[0084] Step S242, comparing the waveform of the virtual lead data with the standard waveform to obtain a waveform value.

[0085] Specifically, the signals of the upper and lower frequencies of the frequency band are filtered out by band-pass filtering, and the low-frequency components are further obtained by low-pass filtering, so as to perform envelope extraction on the virtual lead data to obtain the corresponding uterine contraction data waveform.

[0086] It is important to know that when the uterine contraction data is normal, the corresponding waveform will present a relatively stable shape. The monitored uterine contraction data waveform will be compared with the standard waveform, and the waveform value will be obtained based on the degree of similarity between the waveforms. The waveform value is positively correlated with the degree of similarity between the waveforms.

[0087] Through this embodiment, based on the comparison result of the uterine contraction data waveform and the standard waveform, the waveform value is obtained and used as a factor for analyzing the accuracy of the corresponding virtual lead data, thereby improving the credibility of the lead quality index.

[0088] In some embodiments, the method further comprises the steps of:

[0089] Determine uterine contraction data corresponding to the lead data according to the lead data;

[0090] The lead data and uterine contraction data are calculated to obtain a lead quality index, and according to the lead quality index, target uterine contraction data are dynamically selected from each lead data for output.

[0091] It is important to know that, on the bioelectric signal acquisition side, the electrical activity of uterine muscle cells is detected by electrodes. In actual application, unstable factors such as the contact state between the electrodes and the body surface and the contact state between the operator and the electrodes will affect the lead data between each electrode. Therefore, it is necessary to monitor the uterine contraction data corresponding to the lead data.

[0092] Furthermore, if Figure 3 As shown, the lead quality index of the above-mentioned contraction data is calculated. Similarly, the accuracy of the contraction data is judged through the three characteristic indexes of the lead data, namely the time domain characteristics, frequency domain characteristics and contraction data waveform, and the target contraction data output is dynamically selected from each lead data in each time period.

[0093] Through this embodiment, in the case of being easily affected by external factors, the uterine contraction data corresponding to the lead data is monitored and dynamically selected to avoid unstable interference between some electrodes, so that the selection range of the target uterine contraction data is more accurate.

[0094] The present embodiment is described and illustrated below through preferred embodiments.

[0095] Figure 4 is a preferred flow chart of the method for improving the extraction of uterine contraction of bioelectric signals in this embodiment, such as Figure 4 As shown, the method for improving the extraction of uterine contraction of bioelectric signals comprises the following steps:

[0096] Step S410, obtaining lead data between the collection electrode and the reference electrode;

[0097] Step S420, determining virtual lead data between each acquisition electrode based on the lead data;

[0098] Step S430, determining the uterine contraction data corresponding to the virtual lead data according to the virtual lead data, and calculating the virtual lead data and the uterine contraction data to obtain a lead quality index;

[0099] Step S440, determining the uterine contraction data corresponding to the lead data according to the lead data, and calculating the lead data and the uterine contraction data to obtain a lead quality index;

[0100] Step S450: dynamically selecting target uterine contraction data to output from each lead data or each virtual lead data according to the lead quality index.

[0101] Through this embodiment, on the basis of the lead data between the acquisition electrode and the reference electrode, the virtual lead data between each acquisition electrode is determined to increase the extended lead in combination with the actual application, and the lead quality index is obtained through the time domain characteristics, frequency domain characteristics and waveform characteristics of the contraction data. In each time period, the target contraction data output is dynamically selected accordingly. Furthermore, considering external factors such as the contact state between the electrode and the body surface, and the contact state between the operator and the electrode, the contraction data corresponding to the lead data is monitored and dynamically selected, so that the selection range of the target contraction data is more accurate, avoiding unstable interference in the actual application process, and ensuring the accuracy of the final output result.

[0102] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0103] In this embodiment, a device for improving the extraction of uterine contraction of bioelectric signals is also provided, and the device is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. The terms "module", "unit", "subunit", etc. used below can implement a combination of software and / or hardware of predetermined functions. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0104] Figure 6 is a structural block diagram of the device for improving the extraction of uterine contraction of bioelectric signals in this embodiment, such as Figure 6 As shown, the device includes: an acquisition module 10, an expansion module 20, a processing module 30 and a selection module 40;

[0105] An acquisition module 10 is used to acquire lead data between the collection electrode and the reference electrode;

[0106] The expansion module 20 determines virtual lead data between each acquisition electrode based on the lead data;

[0107] The processing module 30 determines the uterine contraction data corresponding to the virtual lead data according to the virtual lead data;

[0108] The selection module 40 calculates the virtual lead data and the uterine contraction data to obtain a lead quality index, and dynamically selects target uterine contraction data to output from each virtual lead data according to the lead quality index.

[0109] Through the device provided in this embodiment, the lead data between the acquisition electrode and the reference electrode is first obtained, and based on the lead data, the virtual lead data between each acquisition electrode is determined, and according to the virtual lead data, the uterine contraction data corresponding to the virtual lead data is determined. Furthermore, the virtual lead data and the uterine contraction data are calculated to obtain the lead quality index, so as to dynamically select the target uterine contraction data output from each virtual lead data according to the lead quality index, thereby solving the problem of being unable to effectively reduce the noise interference of the body surface on the uterine electromyographic signal, and achieving the beneficial effect of improving the accuracy of the uterine contraction data.

[0110] In some of these embodiments, Figure 6 On the basis of, the device also includes an acquisition module, which is used to acquire electrodes including a first acquisition electrode, a second acquisition electrode and a third acquisition electrode; to obtain first lead data between the first acquisition electrode and the reference electrode, second lead data between the second acquisition electrode and the reference electrode, and third lead data between the third acquisition electrode and the reference electrode.

[0111] In some of these embodiments, Figure 6 On the basis of, the device also includes a calculation module, which is used to calculate the first lead data and the second lead data to obtain the first virtual lead data; calculate the second lead data and the third lead data to obtain the second virtual lead data; and determine the third virtual lead data according to the correlation between the first virtual lead data and the second virtual lead data.

[0112] In some of these embodiments, Figure 6 On the basis of, the device also includes a first comparison module, which is used to obtain the time domain characteristics and frequency domain characteristics of the virtual lead data; compare the time domain characteristics with the threshold range corresponding to the virtual lead data to obtain the time domain value, and compare the frequency domain characteristics with the threshold range corresponding to the virtual lead data to obtain the frequency domain value.

[0113] In some of these embodiments, Figure 6 On the basis of, the device also includes a second comparison module, which is used to obtain the waveform of uterine contraction data; compare the waveform of the virtual lead data with the standard waveform to obtain a waveform value.

[0114] In some of these embodiments, Figure 6 On the basis of the lead data, the device also includes an output module, which is used to determine the uterine contraction data corresponding to the lead data according to the lead data; calculate the lead data and the uterine contraction data to obtain a lead quality index, and dynamically select the target uterine contraction data output from each lead data according to the lead quality index.

[0115] Figure 5 is a schematic diagram of the structure of the system for improving the extraction of uterine contraction of bioelectric signals in this embodiment. Figure 5 As shown, the system includes: a reference electrode and a plurality of collection electrodes, wherein the reference electrode is contacted and arranged at the pubic symphysis of the body surface, and the collection electrode is contacted and arranged at the abdominal body surface, and the reference electrode is connected to the collection electrode, and the collection electrodes are connected to each other.

[0116] Specifically, the collection electrodes include a first collection electrode, a second collection electrode and a third collection electrode. The three collection electrodes are evenly contacted and arranged on the abdominal surface, and the lead data between each collection electrode and the reference electrode are monitored to obtain three corresponding lead data.

[0117] It is important to know that, based on the physiological characteristics of pregnant women and fetuses, the electrode positions are adaptively changed in the system, with the reference electrode contact set at the pubic symphysis on the body surface, and the collection electrode contact set at the abdominal surface, and the various collection electrodes are interconnected to increase extended leads.

[0118] Through the system provided in this embodiment, by improving the electrode position and adding extended leads, the noise interference of the body surface is effectively reduced on the collection side, thereby improving the accuracy of the lead data.

[0119] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0120] In this embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0121] Optionally, the computer device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0122] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and will not be repeated in this embodiment.

[0123] In addition, in combination with the method for improving the extraction of uterine contraction from bioelectric signals provided in the above embodiments, a storage medium can also be provided in this embodiment to implement the method. The storage medium stores a computer program; when the computer program is executed by a processor, any one of the methods for improving the extraction of uterine contraction from bioelectric signals in the above embodiments is implemented.

[0124] It should be understood that the specific embodiments described herein are only used to explain the application, rather than to limit it. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of this application.

[0125] Obviously, the drawings are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar situations based on these drawings without creative work. In addition, it is understandable that although the work done in this development process may be complicated and lengthy, for ordinary technicians in the field, certain changes in design, manufacturing or production based on the technical content disclosed in this application are only conventional technical means and should not be regarded as insufficient content disclosed in this application.

[0126] The term "embodiment" in this application refers to a specific feature, structure or characteristic described in conjunction with the embodiment that can be included in at least one embodiment of the present application. The appearance of this phrase in various locations in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. It is clearly or implicitly understood by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

[0127] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the attached claims.

Claims

1. A method for improving the extraction of uterine contraction from bioelectric signals, characterized in that: A collection system for bioelectric signals; the collection system comprises: a reference electrode and a plurality of collection electrodes, the reference electrode is contacted and arranged at the pubic symphysis of the body surface, the collection electrode is contacted and arranged at the abdominal body surface, the reference electrode is connected to the collection electrode, and the collection electrodes are connected to each other; the method comprises: Acquiring lead data between the acquisition electrode and the reference electrode, including: the acquisition electrodes include a first acquisition electrode, a second acquisition electrode and a third acquisition electrode; acquiring first lead data between the first acquisition electrode and the reference electrode, second lead data between the second acquisition electrode and the reference electrode, and third lead data between the third acquisition electrode and the reference electrode; Based on the lead data, determining virtual lead data between the acquisition electrodes includes: calculating the first lead data and the second lead data to obtain first virtual lead data; calculating the second lead data and the third lead data to obtain second virtual lead data; and determining third virtual lead data according to the correlation between the first virtual lead data and the second virtual lead data; Determining, according to the virtual lead data, uterine contraction data corresponding to the virtual lead data; The virtual lead data and the uterine contraction data are calculated to obtain a lead quality index, and according to the lead quality index, target uterine contraction data are dynamically selected from each of the virtual lead data for output.

2. The method for improving the extraction of uterine contraction from bioelectric signals according to claim 1, characterized in that: The calculating of the virtual lead data and the uterine contraction data comprises: Acquiring time domain characteristics and frequency domain characteristics of the virtual lead data; The time domain characteristic is compared with a threshold range corresponding to the virtual lead data to obtain a time domain value, and the frequency domain characteristic is compared with a threshold range corresponding to the virtual lead data to obtain a frequency domain value.

3. The method for improving the extraction of uterine contraction from bioelectric signals according to claim 1, characterized in that: The calculating of the virtual lead data and the uterine contraction data comprises: Acquiring a waveform of the uterine contraction data; The waveform of the virtual lead data is compared with the standard waveform to obtain a waveform value.

4. The method for improving uterine contraction extraction of bioelectric signals according to claim 1, characterized in that: The method further comprises: Determining the uterine contraction data corresponding to the lead data according to the lead data; The lead data and the uterine contraction data are calculated to obtain the lead quality index, and the target uterine contraction data is dynamically selected from each of the lead data for output according to the lead quality index.

5. A device for improving the extraction of uterine contraction from bioelectric signals, characterized in that: A collection system for bioelectric signals; the collection system comprises: a reference electrode and a plurality of collection electrodes, the reference electrode is contacted and arranged at the pubic symphysis of the body surface, the collection electrode is contacted and arranged at the abdominal body surface, the reference electrode is connected to the collection electrode, and the collection electrodes are connected to each other; the device comprises: An acquisition module, for acquiring lead data between the acquisition electrode and the reference electrode; The acquisition module is further used for the acquisition electrodes including a first acquisition electrode, a second acquisition electrode and a third acquisition electrode; acquiring first lead data between the first acquisition electrode and the reference electrode, second lead data between the second acquisition electrode and the reference electrode, and third lead data between the third acquisition electrode and the reference electrode; An expansion module, based on the lead data, determines virtual lead data between the acquisition electrodes; The expansion module is further used to calculate the first lead data and the second lead data to obtain first virtual lead data; calculate the second lead data and the third lead data to obtain second virtual lead data; and determine the third virtual lead data according to the correlation between the first virtual lead data and the second virtual lead data; A processing module, which determines, based on the virtual lead data, uterine contraction data corresponding to the virtual lead data; The selection module calculates the virtual lead data and the uterine contraction data to obtain a lead quality index, and dynamically selects target uterine contraction data to output from each of the virtual lead data according to the lead quality index.

6. A computer device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps of the method for improving uterine contraction extraction of bioelectric signals according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for improving uterine contraction extraction of bioelectric signals according to any one of claims 1 to 4 are implemented.

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