Uterine electromyographic signal processing method, processing device and processing system

Abstract

The invention discloses a processing method, a processing device and a processing system for a uterus electromyographic signal. The processing method comprises the following steps: acquiring an abdominal wall surface electric signal and a respiration signal relative to a uterus; and separating a respiration interference signal from the abdominal wall surface electric signal by using the respiration signal to obtain a uterine electromyographic signal. By means of the mode, the accuracy of the uterine electromyographic signals can be improved, and then the precision of follow-up uterine contraction detection is improved.

Description

Technical Field

[0001] This application relates to the field of electromyography signal processing technology, and in particular to methods, devices and systems for processing uterine electromyography signals. Background Technology

[0002] Uterine contractions are a crucial indicator in labor monitoring and are observed throughout the entire delivery process. Insufficient uterine contractions can lead to unfavorable labor progress; however, excessive uterine activity can result in insufficient placental blood flow, and even fetal hypoxia and acidosis, leading to adverse maternal and fetal outcomes. Therefore, monitoring uterine contractions throughout labor and taking timely interventions are vital for reversing adverse maternal and fetal outcomes.

[0003] Clinical studies have shown that uterine contractions in mothers are caused by the electrical activity of the uterine muscles. When uterine smooth muscle cells are excited, they generate action potentials. These action potentials propagate rapidly through low-resistance channels between adjacent cells, causing countless uterine muscle cells to be excited and contract synchronously. This leads to changes in uterine contraction pressure, abdominal wall diameter, and pain. Therefore, the intensity of electrical activity of the uterine muscles can also be used to measure uterine contractions. Unlike related mechanical testing methods, electrical activity testing is not dependent on the gestational age of the fetus, nor is it affected by factors such as the placement of the sensor or the tightness of the straps. It can present standard information on the intensity of uterine contractions.

[0004] Since collecting uterine electromyography (EMG) signals requires collection from the human body (mother), the collected EMG signals contain corresponding interference signals, which leads to low accuracy of the actual collected EMG signals. Summary of the Invention

[0005] The method, device, and system for processing uterine electromyography signals provided in this application can improve the accuracy of uterine electromyography signals, thereby enhancing the precision of subsequent uterine contraction detection.

[0006] In a first aspect, this application provides a method for processing uterine electromyography (EMG) signals, the method comprising: acquiring an electrical signal on the abdominal wall surface relative to the uterus and a respiratory signal; and using the respiratory signal to separate a respiratory interference signal from the electrical signal on the abdominal wall surface to obtain the uterine EMG signal.

[0007] Acquiring electrical signals and respiratory signals from the abdominal wall surface relative to the uterus includes: acquiring electrical signals from the abdominal wall surface and respiratory signals using a signal acquisition device.

[0008] The signal acquisition device includes a first acquisition channel and a second acquisition channel. The acquisition of abdominal wall surface electrical signals and respiratory signals using the signal acquisition device includes: acquiring abdominal wall surface electrical signals using the first acquisition channel; and acquiring respiratory signals using the second acquisition channel.

[0009] The respiratory signal was obtained by extracting the maternal-fetal mixed electrocardiogram (ECG) signal from the abdominal wall surface electrical signal; determining the R-wave and S-wave locations of the QRS complex in the maternal ECG signal from the maternal-fetal mixed ECG signal; and using the R-wave and S-wave locations to obtain the respiratory signal.

[0010] The respiratory signal is obtained using R-wave and S-wave locations, including: for each QRS complex, obtaining a first coordinate point using the R-wave location and amplitude; obtaining a second coordinate point using the median of the R-wave and S-wave locations, and the sum of the R-wave and S-wave amplitudes; obtaining a third coordinate point using the S-wave location and amplitude; obtaining a resampled signal using the first, second, and third coordinate points corresponding to all QRS complexes; and processing the resampled signal using a low-pass filter to obtain the respiratory signal.

[0011] The process of separating respiratory interference signals from abdominal wall surface electrical signals to obtain uterine electromyography (EMG) signals includes: preprocessing abdominal wall surface electrical signals to obtain preprocessed uterine EMG signals; wherein the preprocessed uterine EMG signals include uterine EMG signals and respiratory interference signals; and separating respiratory interference signals from the preprocessed uterine EMG signals to obtain uterine EMG signals.

[0012] The method of separating respiratory interference signals from uterine electromyography (EMG) preprocessing signals using respiratory signals to obtain uterine EMG signals includes: subtracting the respiratory signal from the preprocessed uterine EMG signal to separate the respiratory interference signals and obtain the uterine EMG signals; or, using the respiratory signal as the desired signal, performing adaptive filtering on the preprocessed uterine EMG signal to obtain the estimated respiratory signal in the preprocessed uterine EMG signal; subtracting the estimated respiratory signal from the preprocessed uterine EMG signal to separate the respiratory interference signals and obtain the uterine EMG signals; or, performing a fast Fourier transform on the respiratory signal to obtain the respiratory frequency corresponding to the respiratory signal; and combining the respiratory frequency to separate the respiratory interference signals from the preprocessed uterine EMG signal to obtain the uterine EMG signals.

[0013] The process of separating respiratory interference signals from the preprocessed uterine electromyography (EMG) signal by combining respiratory frequency to obtain the uterine EMG signal includes: constructing a notch filter based on the respiratory frequency and using the notch filter to process the preprocessed uterine EMG signal to separate the respiratory interference signals and obtain the uterine EMG signal; or, performing multi-level wavelet decomposition on the preprocessed uterine EMG signal; setting the coefficients of the wavelet decomposition layer within the filtering range to zero based on the respiratory frequency, and performing wavelet reconstruction using the coefficients of the wavelet decomposition layer outside the filtering range to obtain the uterine EMG signal.

[0014] The process of separating respiratory interference signals from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography signals includes: determining whether respiratory interference exists in the electrical signals on the abdominal wall surface; if so, separating the respiratory interference signals from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography signals.

[0015] The method for determining whether respiratory interference exists in the electrical signals on the abdominal wall surface includes: using the peak points of the respiratory signals to determine whether respiratory interference exists; or using the peak points of the respiratory signals and the envelope signal peak points of the uterine electromyography (EMG) signals to determine whether respiratory interference exists; or performing a fast Fourier transform on the EMG and respiratory signals to obtain the first peak frequency corresponding to the EMG signals and the second peak frequency corresponding to the respiratory signals, and using the first and second peak frequencies to determine whether respiratory interference exists.

[0016] The process involves separating respiratory interference signals from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography (EMG) signals. This includes simultaneously displaying the uterine EMG signal recording curve and the uterine contraction intensity recording curve corresponding to the uterine EMG signals on the monitoring interface.

[0017] The monitoring interface synchronously displays the uterine electromyography (EMG) signal recording curves corresponding to the uterine EMG signals and the uterine contraction intensity recording curves corresponding to the uterine EMG signals. It also includes: acquiring the target time period corresponding to the respiratory signals; displaying a marker for the target time period on the monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period; and / or, displaying the uterine EMG signal recording curves and the uterine contraction intensity recording curves within the target time period on the monitoring interface according to target display parameters; wherein the target display parameters differ from the default display parameters of the uterine EMG signal recording curves and the uterine contraction intensity recording curves; and / or, synchronously displaying the respiratory signals.

[0018] Before the monitoring interface synchronously displays the uterine electromyography (EMG) signal recording curve and the uterine contraction intensity recording curve corresponding to the EMG signal, the process includes: rectifying the EMG signal to obtain a rectified signal; obtaining the envelope value of the EMG signal based on the rectified signal; fitting the envelope value to obtain the corresponding uterine contraction intensity; and forming the corresponding uterine contraction intensity recording curve based on the uterine contraction intensity.

[0019] In a second aspect, this application provides a processing device for uterine electromyography signals, the processing device including a processor and a memory and a communication interface coupled to the processor; wherein, the communication interface is used to couple a signal acquisition device, the memory is used to store a computer program, and the processor is used to execute the computer program to implement the method provided in the first aspect.

[0020] Thirdly, this application provides a system for processing uterine electromyography (EMG) signals. The system includes: a signal acquisition device for acquiring electrical signals relative to the abdominal wall surface of the uterus; and a processing device coupled to the signal acquisition device, the processing device being the same as the uterine EMG signal processing device provided in the first aspect.

[0021] The beneficial effects of this application are as follows: Unlike the prior art, the uterine electromyography signal processing method, processing device and processing system provided in this application use respiratory signals to separate most of the overlapping respiratory interference signals from the abdominal wall surface electrical signals to obtain uterine electromyography signals, thereby reducing interference signals in uterine electromyography signals, improving the accuracy of uterine electromyography signals, and thus improving the accuracy of subsequent uterine contraction detection. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0023] Figure 1 This is a schematic diagram of an embodiment of the uterine electromyography signal processing system provided in this application;

[0024] Figure 2 This is a schematic flowchart of an embodiment of the method for processing uterine electromyography signals provided in this application;

[0025] Figure 3 This is a flowchart illustrating an embodiment of the respiratory signal acquisition method provided in this application;

[0026] Figure 4 This is a flowchart illustrating an embodiment of step 33 provided in this application;

[0027] Figure 5 This is a flowchart illustrating an embodiment of step 22 provided in this application;

[0028] Figure 6 This is a flowchart illustrating an embodiment of step 222 provided in this application;

[0029] Figure 7 This is a flowchart illustrating another embodiment of step 222 provided in this application;

[0030] Figure 8 This is a schematic flowchart of another embodiment of the method for processing uterine electromyography signals provided in this application;

[0031] Figure 9This is a schematic flowchart of another embodiment of the method for processing uterine electromyography signals provided in this application;

[0032] Figure 10 This is a flowchart illustrating an embodiment of the method for obtaining uterine contraction intensity provided in this application;

[0033] Figure 11 This is a schematic diagram of the monitoring interface provided in this application;

[0034] Figure 12 This is a schematic diagram of an embodiment of the uterine electromyography signal processing device provided in this application;

[0035] Figure 13 This is a schematic diagram of another embodiment of the uterine electromyography signal processing system provided in this application. Detailed Implementation

[0036] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all structures. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0037] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0038] Uterine contractions are a crucial indicator in labor monitoring and are observed throughout the entire delivery process. Insufficient uterine contractions can lead to unfavorable labor progress; however, excessive uterine activity can result in insufficient placental blood flow, and even fetal hypoxia and acidosis, leading to adverse maternal and fetal outcomes. Therefore, monitoring uterine contractions throughout labor and taking timely interventions are vital for reversing adverse maternal and fetal outcomes.

[0039] Clinical studies have shown that uterine contractions in mothers are caused by the electrical activity of the uterine muscles. When uterine smooth muscle cells are excited, they generate action potentials. These action potentials propagate rapidly through low-resistance channels between adjacent cells, causing countless uterine muscle cells to be excited and contract synchronously. This leads to changes in uterine contraction pressure, abdominal wall diameter, and pain. Therefore, the intensity of electrical activity of the uterine muscles can also be used to measure uterine contractions. Unlike related mechanical testing methods, electrical activity testing is not dependent on the gestational age of the fetus, nor is it affected by factors such as the placement of the sensor or the tightness of the straps. It can present standard information on the intensity of uterine contractions.

[0040] The inventors of this application have discovered through long-term research that, since the collection of uterine electromyography (EMG) signals requires collection from the human body (mother), the collected EMG signals contain corresponding interference signals, which leads to low accuracy of the actual collected EMG signals.

[0041] If the electrodes for collecting uterine electromyography (EMG) signals are placed on the mother's abdomen, respiratory interference can easily be mixed into the collected EMG signals. Moreover, the frequencies of respiratory signals (0.2Hz to 0.8Hz) and uterine EMG signals (0.1Hz to 3Hz) largely overlap, making them difficult to separate and thus affecting the accuracy of uterine EMG detection. In extreme cases, when the pregnant woman is in the inter-contraction period, the uterine EMG signal is weak and respiratory interference is dominant. At this time, respiratory interference can easily be misdetected as a burst of uterine EMG waves, causing the device to output a false contraction pattern (i.e., outputting a contraction curve pattern when the pregnant woman is not having contractions), affecting the judgment of clinical staff.

[0042] Based on this, this application proposes to separate the respiratory interference signal with most overlapping frequencies from the electrical signal on the abdominal wall surface using respiratory signals to obtain the uterine electromyography (EMG) signal. This reduces interference signals in the uterine EMG signal, improves the accuracy of the uterine EMG signal, and thus enhances the precision of subsequent uterine contraction detection. See any of the following embodiments for details.

[0043] See Figure 1 , Figure 1 This is a schematic diagram of an embodiment of the uterine electromyography signal processing system provided in this application. The processing system 100 includes a signal acquisition device 10 and a processing device 20.

[0044] The signal acquisition device 10 is used to acquire electrical signals on the abdominal wall surface relative to the uterus.

[0045] In some embodiments, the signal acquisition device 10 may include a surface electrode, which is attached to the maternal abdominal wall corresponding to the uterus to acquire the surface electrical signal of the abdominal wall.

[0046] The processing device 20 is coupled to the signal acquisition device 10 to acquire the electrical signal of the abdominal wall surface relative to the uterus and the respiratory signal; the respiratory signal is used to separate the respiratory interference signal from the electrical signal of the abdominal wall surface to obtain the uterine electromyography signal.

[0047] In this embodiment, the processing device 20 uses the respiratory signal to separate the respiratory interference signal with most overlapping frequencies from the electrical signal on the abdominal wall surface to obtain the uterine electromyography signal. This reduces the interference signal in the uterine electromyography signal, improves the accuracy of the uterine electromyography signal, and thus enhances the accuracy of subsequent uterine contraction detection.

[0048] See Figure 2 , Figure 2 This is a schematic flowchart of an embodiment of the method for processing uterine electromyography signals provided in this application. The processing method includes:

[0049] Step 21: Obtain electrical and respiratory signals from the abdominal wall surface relative to the uterus.

[0050] In some embodiments, surface electrodes attached to the abdominal wall relative to the uterus are used to acquire surface electrical signals of the maternal abdominal wall. These signals are then converted into digital signals, thereby safely and stably acquiring and recording real-time abdominal wall surface electrical signals. It is understood that these abdominal wall surface electrical signals, in addition to the desired uterine electromyography (EMG) signals, also include many other physiological electrical signals from the mother or fetus, such as maternal ECG, fetal ECG, maternal skeletal muscle EMG, power frequency interference, and respiratory interference.

[0051] In some embodiments, a signal acquisition device can be used to acquire electrical signals from the abdominal wall surface and respiratory signals. For example, respiratory signals can be acquired simultaneously with the acquisition of electrical signals from the abdominal wall surface using the signal acquisition device. For instance, the signal acquisition device includes at least a first acquisition channel and a second acquisition channel, each with different signal acquisition functions. The first acquisition channel is used to acquire electrical signals from the abdominal wall surface relative to the uterus, and the second acquisition channel is used to acquire respiratory signals. That is, the signal acquisition device can simultaneously acquire the electrical signals from the abdominal wall surface relative to the uterus acquired by the first acquisition channel and the respiratory signals acquired by the second acquisition channel.

[0052] Specifically, an impedance-type respiratory detection circuit can be integrated into the circuit of the signal acquisition device. The sampling rate of the respiratory signal is set to be consistent with the sampling rate of the uterine electromyography signal. The surface electrical signal of the maternal abdominal wall and the maternal respiratory signal are collected in real time and synchronously in different channels of the same A / D (analog-to-digital converter) to ensure that there is no sampling frequency or timing difference between the two signals.

[0053] In some embodiments, respiratory signals can be acquired independently using a respiratory detection device. Respiratory signals acquired independently using a respiratory detection device are relatively accurate. For example, a respiratory signal can be obtained by measuring the mother's respiratory rate using an expiratory flow meter.

[0054] In some embodiments, see Figure 3 Respiratory signals can be obtained in the following ways.

[0055] Step 31: Extract the mixed maternal and fetal electrocardiogram signal from the electrical signals on the abdominal wall surface.

[0056] It is understandable that the electrical signals on the abdominal wall surface can contain maternal electrocardiogram (ECG), fetal ECG, maternal skeletal muscle electromyography (EMG), power frequency interference, respiratory interference, etc. Therefore, a mixed maternal-fetal ECG signal can be extracted from the electrical signals on the abdominal wall surface.

[0057] Step 32: Determine the R wave and S wave locations of the QRS complex in the maternal electrocardiogram from the maternal-fetal mixed electrocardiogram signal.

[0058] The preprocessed maternal-fetal mixed ECG signal is amplified by a differential filter, and then rectified and low-pass filtered to obtain the maternal-fetal mixed ECG envelope signal. The maximum peak value is the R wave location of the QRS wave in the maternal ECG signal, and the minimum value point within a set threshold range near the R wave location is the S wave location point.

[0059] Step 33: Obtain respiratory signals using R-wave and S-wave locations.

[0060] In some embodiments, see Figure 4 Step 33 can be the following process:

[0061] Step 331: For each QRS wave, obtain the first coordinate point using the R-wave position point and the amplitude of the R-wave position point in the QRS wave.

[0062] Step 332: Use the midpoint between the R-wave location and the S-wave location, and the sum of the amplitudes of the R-wave location and the S-wave location to obtain the second coordinate point.

[0063] Step 333: Obtain the third coordinate point using the S-wave position point and the amplitude of the S-wave position point.

[0064] Step 334: Obtain the resampled signal using the first, second, and third coordinate points corresponding to all QRS waves.

[0065] In some embodiments, a new continuous sequence is obtained by using cubic spline interpolation to restore the signals of the first coordinate point, the second coordinate point, and the third coordinate point. The new sequence is then resampled according to the sampling rate of the electrical signal on the abdominal wall surface to obtain a resampled signal.

[0066] Step 335: Use a low-pass filter to process the resampled signal to obtain the respiratory signal.

[0067] Figure 3 The respiratory signal acquisition method shown does not require additional respiratory signal detection hardware, thus saving costs.

[0068] Step 22: Use respiratory signals to separate respiratory interference signals from the electrical signals on the abdominal wall surface to obtain uterine electromyography signals.

[0069] In this application, after obtaining the respiratory signal through any of the above methods, step 22 can be performed to separate the respiratory interference signal from the electrical signal on the abdominal wall surface using the respiratory signal, thereby obtaining a pure uterine electromyography signal.

[0070] In some embodiments, the electrical signals on the abdominal wall surface include many other physiological electrical signals from the mother or fetus, such as maternal electrocardiogram (ECG), fetal ECG, maternal skeletal muscle electromyography (EMG), power line interference, respiratory interference, etc. Therefore, see [reference needed]. Figure 5 Step 22 can be the following process:

[0071] Step 221: Preprocess the electrical signals on the abdominal wall surface to obtain the preprocessed uterine electromyography (EMG) signal; wherein, the preprocessed uterine EMG signal includes the uterine EMG signal and the respiratory interference signal.

[0072] In some embodiments, preprocessing of the abdominal wall surface electrical signal can remove maternal electrocardiogram (ECG), fetal ECG, maternal skeletal muscle electromyography (EMG), power frequency interference, etc., so that the obtained uterine EMG preprocessed signal only includes uterine EMG signal and respiratory interference signal. For example, a bandpass filter can be used to preprocess the abdominal wall surface electrical signal to obtain the uterine EMG preprocessed signal.

[0073] Step 222: Use the respiratory signal to separate the respiratory interference signal from the uterine electromyography preprocessing signal to obtain the uterine electromyography signal.

[0074] In some embodiments, the respiratory interference signal is separated by subtracting the preprocessed uterine electromyography (EMG) signal from the respiratory signal to obtain the uterine EMG signal. Since the respiratory signal can be obtained using the respiratory signal acquisition method described above, the respiratory interference signal can be directly separated by subtracting the preprocessed uterine EMG signal from the respiratory signal to obtain a clean uterine EMG signal.

[0075] In some embodiments, see Figure 6 The following method can be used to separate the respiratory interference signal from the uterine electromyography preprocessing signal using the respiratory signal, and obtain the uterine electromyography signal.

[0076] Step 61: Using the respiratory signal as the desired signal, perform adaptive filtering on the uterine electromyography preprocessing signal to obtain the respiratory estimation signal in the uterine electromyography preprocessing signal.

[0077] In some embodiments, linear adaptive filters and / or nonlinear adaptive filters can be used to filter the uterine electromyography (EMG) preprocessing signal to obtain the respiratory estimation signal in the uterine EMG preprocessing signal. The nonlinear adaptive filters include Voetlrra filters and neural network-based adaptive filters.

[0078] In some embodiments, at least one of the following algorithms can be used to adaptively filter the uterine electromyography (EMG) preprocessing signal to obtain the respiratory estimation signal in the uterine EMG preprocessing signal: LMS (Least Mean Square) adaptive filtering algorithm, RLS (Recursive Least Squares) adaptive filtering algorithm, transform domain adaptive filtering algorithm, affine projection algorithm, conjugate gradient algorithm, subband decomposition-based adaptive filtering algorithm, and QR (orthogonal triangular) decomposition-based adaptive filtering algorithm.

[0079] Step 62: Subtract the preprocessed uterine electromyography signal from the estimated respiratory signal to separate the respiratory interference signal and obtain the uterine electromyography signal.

[0080] In some embodiments, see Figure 7 The following method can be used to separate the respiratory interference signal from the uterine electromyography preprocessing signal using the respiratory signal, and obtain the uterine electromyography signal.

[0081] Step 71: Perform a fast Fourier transform on the respiratory signal to obtain the respiratory frequency corresponding to the respiratory signal.

[0082] The respiratory signal is subjected to a fast Fourier transform, and the maximum value of the transform result is the respiratory frequency F1 corresponding to the respiratory signal.

[0083] Step 72: Combine respiratory rate to separate respiratory interference signals from uterine electromyography preprocessing signals to obtain uterine electromyography signals.

[0084] In some embodiments, a notch filter is constructed based on the respiratory rate, and the notch filter is used to process the uterine electromyography preprocessing signal to separate the respiratory interference signal and obtain the uterine electromyography signal.

[0085] Notch filters are mainly used in signal processing, signal detection, and signal filtering applications. Their primary function is to eliminate certain frequency components in the input signal to reduce or eliminate interference and noise. Specifically, when the preprocessed uterine electromyography (EMG) signal is input to a notch filter, the signal corresponding to the respiratory frequency can be filtered out, thereby removing respiratory interference signals and obtaining the uterine EMG signal.

[0086] For example, using F1 as the center frequency, combined with the preset filter bandwidth B and the signal sampling rate Fs, the notch filter coefficient is calculated to obtain the notch filter S with F1 as the filter center frequency. Passing the preprocessed uterine electromyography signal through the notch filter S yields a pure uterine electromyography signal with respiratory interference removed.

[0087] In some embodiments, the preprocessed uterine electromyography signal is subjected to multi-layer wavelet decomposition; the coefficients of the wavelet decomposition layer within the filtering range are set to zero in combination with the respiratory frequency, and wavelet reconstruction is performed using the coefficients of the wavelet decomposition layer outside the filtering range to obtain the uterine electromyography signal.

[0088] In this process, a Fast Fourier Transform (FFT) is performed on the respiratory signal, and the maximum value of the transform result is the respiratory frequency F1 corresponding to the respiratory signal. The uterine electromyography preprocessed signal is then subjected to multi-level wavelet decomposition using preset wavelet basis functions and a predetermined number of levels. Furthermore, to make the signal decomposition more accurate, F1 can be substituted into the wavelet decomposition level estimation formula to dynamically solve for the decomposition level N in real time.

[0089] Using F1 as the center frequency and a preset filtering bandwidth, the filtering range is calculated. The wavelet decomposition layer within the filtering range is found, and its coefficients are set to zero. Then, wavelet reconstruction is performed using the coefficients of the wavelet decomposition layer outside the filtering range to obtain a pure uterine electromyography signal with respiratory interference signals filtered out.

[0090] In this embodiment, respiratory interference signals with most overlapping frequencies are separated from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography (EMG) signals. This reduces interference signals in the uterine EMG signals, improves the accuracy of the uterine EMG signals, and thus enhances the precision of subsequent uterine contraction detection.

[0091] See Figure 8 , Figure 8 This is a schematic flowchart of another embodiment of the method for processing uterine electromyography signals provided in this application. The processing method includes:

[0092] Step 81: Obtain electrical and respiratory signals from the abdominal wall surface relative to the uterus.

[0093] Step 82: Determine whether there is respiratory interference in the electrical signals on the abdominal wall surface.

[0094] In step 82, if it is determined that there is respiratory interference in the electrical signal on the abdominal wall surface, then step 82 is executed. In step 82, if it is determined that there is no respiratory interference in the electrical signal on the abdominal wall surface, then the electrical signal on the abdominal wall surface can be directly processed to obtain the uterine electromyography signal.

[0095] In one application scenario, the following methods can be used to determine respiratory interference.

[0096] The first method of judgment uses the peak point of the respiratory signal to determine whether respiratory interference exists. Specifically, the peak point of the collected or calculated respiratory signal is calculated in real time, and it is determined whether the peak value exceeds a preset threshold. If it exceeds the threshold, it is considered that maternal respiratory interference exists.

[0097] The second method uses the peak points of the respiratory signal and the envelope signal peak points of the uterine electromyography signal to determine whether respiratory interference exists. Specifically, the peak point P1 of the collected or calculated respiratory signal and the peak point P2 of the envelope signal of the uterine electromyography signal are simultaneously detected and calculated in real time. The signal-to-noise ratio is calculated using the respiratory signal as the noise signal. If the signal-to-noise ratio is lower than a preset threshold, it is considered that maternal respiratory interference exists.

[0098] The third method involves performing a Fast Fourier Transform (FFT) on the uterine electromyography (EMG) and respiratory signals to obtain the first peak frequency corresponding to the EMG signal and the second peak frequency corresponding to the respiratory signal. The presence of respiratory interference is then determined using these two peak frequencies. Specifically, a FFT is performed on the uterine EMG and respiratory signals to obtain the peak frequency F2 corresponding to the EMG signal and the peak frequency F1 corresponding to the respiratory signal. F1 and F2 are compared; if the difference between them is within a preset threshold range, maternal respiratory interference is considered to be present.

[0099] Furthermore, the maternal respiratory rate can be calculated in real time based on the collected or calculated respiratory signals, or it can be obtained by the reciprocal of the peak frequency of the respiratory signals or by calculating the peak interval of the respiratory signals in real time. The presence of maternal respiratory interference can be determined based on the maternal respiratory rate.

[0100] When any of the three judgment methods mentioned above is used to determine that there is respiratory interference in the electrical signal on the abdominal wall surface, the target time period is marked on the monitoring interface, and the uterine electromyography signal recording curve and uterine contraction intensity recording curve within the target time period are displayed on the monitoring interface according to the target display parameters, and / or the respiratory signal is displayed simultaneously.

[0101] In another application scenario, to ensure accuracy, if any of the above methods determines that there is no respiratory interference in the abdominal wall surface electrical signal, another method can be selected to further determine whether respiratory interference exists. If each method determines that there is no respiratory interference in the abdominal wall surface electrical signal, then the target time period marker will not be displayed on the monitoring interface, the uterine electromyography signal recording curve and uterine contraction intensity recording curve within the target time period will not be displayed on the monitoring interface according to the target display parameters, and / or the respiratory signal will be displayed asynchronously.

[0102] Step 83: Use respiratory signals to separate respiratory interference signals from the electrical signals on the abdominal wall surface to obtain uterine electromyography signals.

[0103] In this embodiment, when respiratory interference is detected in the electrical signal on the abdominal wall surface, the respiratory signal is used to separate most of the overlapping respiratory interference signals from the electrical signal on the abdominal wall surface to obtain the uterine electromyography signal. This reduces the interference signal in the uterine electromyography signal, improves the accuracy of the uterine electromyography signal, and thus improves the accuracy of subsequent uterine contraction detection.

[0104] Furthermore, this embodiment provides various methods for determining respiratory interference, so that they can be flexibly applied in corresponding devices.

[0105] See Figure 9 , Figure 9 This is a schematic flowchart of another embodiment of the method for processing uterine electromyography signals provided in this application. The processing method includes:

[0106] Step 91: Obtain electrical and respiratory signals from the abdominal wall surface relative to the uterus.

[0107] Step 92: Use respiratory signals to separate respiratory interference signals from the electrical signals on the abdominal wall surface to obtain uterine electromyography signals.

[0108] In this embodiment, steps 91 to 92 may have the same or similar technical solutions as any embodiment of this application, and will not be described in detail here.

[0109] Step 93: Simultaneously display the uterine electromyography signal recording curve corresponding to the uterine electromyography signal and the uterine contraction intensity recording curve corresponding to the uterine electromyography signal on the monitoring interface.

[0110] In some embodiments, see Figure 10 The following method was used to determine the uterine contraction intensity recording curve.

[0111] Step 101: Rectify the uterine electromyography signal to obtain a rectified signal.

[0112] Step 102: Obtain the envelope value of the uterine electromyography signal based on the rectified signal.

[0113] In some embodiments, the absolute value of the rectified signal is taken and then passed through a low-pass filter to obtain the real-time envelope value of the uterine electromyography (UEEMG). A sliding window L is set, and the sliding window moves as monitoring progresses. The energy value of the UEEMG signal within the window is calculated as the current envelope value of the uterine EMG signal.

[0114] Step 103: Fit the envelope value to obtain the corresponding uterine contraction intensity, and form the corresponding uterine contraction intensity recording curve based on the uterine contraction intensity.

[0115] In some embodiments, by simultaneously collecting external uterine contraction pressure values, a uterine contraction intensity recording curve is formed and displayed on the same screen as the uterine electromyography signal recording curve to eliminate false contraction waves caused by respiratory interference, thereby improving the accuracy of uterine contraction monitoring.

[0116] To assist medical staff in observing uterine electromyography (EMG) signals, the monitoring interface can simultaneously display the corresponding uterine EMG signal recording curve and the corresponding uterine contraction intensity recording curve after the uterine EMG signal is obtained. In some embodiments, the monitoring interface can be divided into an upper and lower region aligned with each other. For example, the upper region displays the uterine EMG signal recording curve, and the lower region displays the uterine contraction intensity recording curve, with the time axes of the curves in both regions being consistent. Alternatively, the upper region displays the uterine contraction intensity recording curve, and the lower region displays the uterine EMG signal recording curve, with the time axes of the curves in both regions being consistent.

[0117] In some embodiments, when performing step 93, a target time period corresponding to the respiratory signal can also be obtained; a marker for the target time period is displayed on the monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period. In some embodiments, the marker can be a vertical line, a triangle, or a circle, etc.

[0118] In some embodiments, when performing step 93, the uterine electromyography (EMG) signal recording curve and the uterine contraction intensity recording curve within the target time period can also be displayed on the monitoring interface according to the target display parameters; wherein, the target display parameters are different from the default display parameters of the uterine EMG signal recording curve and the uterine contraction intensity recording curve. For example, if the default display parameter is black, the target display parameter can be any color other than black. For example, the uterine contraction intensity recording curve and the uterine EMG signal recording curve during the respiratory interference period (target time period) can be weakened in display. The weakened display can be achieved by graying out the display, reducing the contrast of the curve colors, etc., to indicate in real time that the uterine EMG calculation results at this point may be affected by interference.

[0119] In some embodiments, respiratory signals can also be displayed synchronously during step 93. For example, a new area can be created on the monitoring interface to display the respiratory signals.

[0120] Furthermore, the monitoring interface can be divided into three aligned upper, middle, and lower regions. For example, the upper region displays the uterine electromyography (EMG) signal curve, the middle region displays the uterine contraction intensity curve, and the lower region displays the curve corresponding to the respiratory signal; the time axes of the curves in all three regions are consistent.

[0121] In some embodiments, when performing step 93, a target time period corresponding to the respiratory signal can also be obtained; a marker for the target time period can be displayed on the monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period; and the uterine electromyography signal recording curve and the uterine contraction intensity recording curve within the target time period can be displayed on the monitoring interface according to the target display parameters; wherein the target display parameters are different from the default display parameters of the uterine electromyography signal recording curve and the uterine contraction intensity recording curve. Figure 11 As shown, the monitoring interface includes a first region 111 and a second region 112. The first region 111 displays a uterine contraction intensity curve, and the second region 112 displays a uterine electromyography (EMG) signal curve. The EMG and uterine contraction intensity curves are synchronized on the time axis. Figure 11 In the diagram, due to respiratory interference, markers F and G are displayed between the first region 111 and the second region 112, and during the time period corresponding to the respiratory interference. The length of markers F and G indicates the duration of the respiratory interference. In some embodiments, markers F and G may be displayed with specific colors or brightness to alert relevant personnel to the presence of respiratory interference. Furthermore, the display parameters of the curve segments corresponding to respiratory interference in the uterine electromyography and uterine contraction intensity recording curves differ from the display parameters of the normal curve segments. Figure 11 In the diagram, curve segments C, D, E, and H indicating respiratory disturbances are shown in gray. The remaining curve segments, such as segments A and B, are shown in black. Segments A and B represent the uterine contraction phase at this time.

[0122] In this embodiment, markers can be displayed synchronously, and the display parameters of the corresponding curves within the target time period can be changed, so that relevant personnel can know in a timely manner whether there is interference in the current uterine electromyography signal, which facilitates further operations.

[0123] In some embodiments, when performing step 93, a target time period corresponding to the respiratory signal can also be acquired; a marker for the target time period can be displayed on the monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period, and the respiratory signal is displayed synchronously. In this embodiment, the marker and the respiratory signal can be displayed synchronously so that relevant personnel can promptly know whether there is interference in the current uterine electromyography signal, facilitating further operations.

[0124] In some embodiments, when performing step 93, the uterine electromyography (EMG) signal recording curve and the uterine contraction intensity recording curve within the target time period can also be displayed on the monitoring interface according to the target display parameters; wherein, the target display parameters are different from the default display parameters of the uterine EMG signal recording curve and the uterine contraction intensity recording curve, and the respiratory signal is displayed synchronously. In this embodiment, the display parameters of the corresponding curves within the target time period and the display of the respiratory signal can be changed so that relevant personnel can know in a timely manner whether there is interference in the current uterine EMG signal, which facilitates further operations.

[0125] In some embodiments, when performing step 93, a target time period corresponding to the respiratory signal can also be acquired; a marker for the target time period can be displayed on the monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period; and the uterine electromyography (EMG) signal recording curve and the uterine contraction intensity recording curve within the target time period can be displayed on the monitoring interface according to the target display parameters; wherein the target display parameters are different from the default display parameters of the uterine EMG signal recording curve and the uterine contraction intensity recording curve, and the respiratory signal can be displayed synchronously. In this embodiment, the marker can be displayed synchronously, the display parameters of the corresponding curve within the target time period can be changed, and the respiratory signal can be displayed, so that relevant personnel can know in a timely manner whether there is interference in the current uterine EMG signal, which facilitates further operations.

[0126] In some embodiments, when a respiratory signal is identified, it is necessary to further determine whether the respiratory signal will cause respiratory interference. If it is determined that respiratory interference will occur, a target time period marker is displayed on the monitoring interface, and the uterine electromyography signal recording curve and uterine contraction intensity recording curve within the target time period are displayed on the monitoring interface according to the target display parameters, and / or the respiratory signal is displayed simultaneously. If it is determined that the respiratory signal will not cause respiratory interference, the monitoring interface displays normally.

[0127] In this embodiment, respiratory signals with most overlapping frequencies are separated from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography (EMG) signals. This reduces interference signals in the uterine EMG signals, improving their accuracy. Furthermore, because clean uterine EMG signals are obtained, the uterine EMG signal recording curve and uterine contraction intensity recording curve displayed on the monitoring interface can more accurately represent the actual state of the mother, improving the accuracy of uterine contraction detection.

[0128] See Figure 12 , Figure 12 This is a schematic diagram of an embodiment of the uterine electromyography signal processing device provided in this application. The processing device 20 includes a processor 201, a memory 202 coupled to the processor 201, and a communication interface 203; wherein the communication interface 203 is used to couple to a signal acquisition device, the memory 202 is used to store a computer program, and the processor 201 is used to execute the computer program to implement the following method:

[0129] Acquire the abdominal wall surface electrical signal and respiratory signal relative to the uterus; use the respiratory signal to separate the respiratory interference signal from the abdominal wall surface electrical signal to obtain the uterine electromyography signal.

[0130] In some embodiments, the processor is also configured to execute a computer program to implement the method of acquiring electrical signals from the abdominal wall surface and respiratory signals using a signal acquisition device.

[0131] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: acquiring electrical signals on the abdominal wall surface using a first acquisition channel; and acquiring respiratory signals using a second acquisition channel.

[0132] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: extracting maternal-fetal mixed electrocardiogram signals from abdominal wall surface electrical signals; determining the R-wave location and S-wave location of the QRS wave in the maternal electrocardiogram signal from the maternal-fetal mixed electrocardiogram signals; and obtaining respiratory signals using the R-wave location and S-wave location.

[0133] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following method: for each QRS wave, obtaining a first coordinate point using the R-wave location point and the R-wave location point amplitude in the QRS wave; obtaining a second coordinate point using the median point of the R-wave location point and the S-wave location point, and the sum of the R-wave location point amplitude and the S-wave location point amplitude; obtaining a third coordinate point using the S-wave location point and the S-wave location point amplitude; obtaining a resampled signal using the first coordinate point, the second coordinate point, and the third coordinate point corresponding to all QRS waves; and processing the resampled signal using a low-pass filter to obtain a respiratory signal.

[0134] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following method: preprocessing the electrical signal on the abdominal wall surface to obtain a uterine electromyography preprocessed signal; wherein the uterine electromyography preprocessed signal includes a uterine electromyography signal and a respiratory interference signal; using the respiratory signal to separate the respiratory interference signal from the uterine electromyography preprocessed signal to obtain the uterine electromyography signal.

[0135] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: subtracting the preprocessed uterine electromyography (UEEMG) signal from the respiratory signal to separate the respiratory interference signal and obtain the UEEMG signal; or, using the respiratory signal as the desired signal, performing adaptive filtering on the preprocessed UEEMG signal to obtain the respiratory estimation signal in the preprocessed UEEMG signal; subtracting the preprocessed UEEMG signal from the respiratory estimation signal to separate the respiratory interference signal and obtain the UEEMG signal; or, performing a fast Fourier transform on the respiratory signal to obtain the respiratory frequency corresponding to the respiratory signal; and combining the respiratory frequency to separate the respiratory interference signal from the preprocessed UEEMG signal to obtain the UEEMG signal.

[0136] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: constructing a notch filter based on the respiratory frequency and processing the uterine electromyography (EMG) preprocessing signal using the notch filter to separate the respiratory interference signal and obtain the uterine EMG signal; or, performing multi-layer wavelet decomposition on the uterine EMG preprocessing signal; setting the coefficients of the wavelet decomposition layer within the filtering range to zero in combination with the respiratory frequency, and performing wavelet reconstruction using the coefficients of the wavelet decomposition layer outside the filtering range to obtain the uterine EMG signal.

[0137] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following method: determining whether there is respiratory interference in the electrical signal on the abdominal wall surface; if so, using the respiratory signal to separate the respiratory interference signal from the electrical signal on the abdominal wall surface to obtain the uterine electromyography signal.

[0138] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: determining whether respiratory interference exists using the peak point of the respiratory signal; or determining whether respiratory interference exists using the peak point of the respiratory signal and the peak point of the envelope signal of the uterine electromyography signal; or performing a fast Fourier transform on the uterine electromyography signal and the respiratory signal to obtain a first peak frequency corresponding to the uterine electromyography signal and a second peak frequency corresponding to the respiratory signal, and determining whether respiratory interference exists using the first peak frequency and the second peak frequency.

[0139] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following method: synchronously displaying the uterine electromyography signal recording curve corresponding to the uterine electromyography signal and the uterine contraction intensity recording curve corresponding to the uterine electromyography signal on the monitoring interface.

[0140] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following methods: acquiring a target time period corresponding to a respiratory signal; displaying a marker for the target time period on a monitoring interface; wherein the marker is used to characterize the presence of respiratory interference within the target time period; and / or displaying a uterine electromyography (EMG) signal recording curve and a uterine contraction intensity recording curve within the target time period on the monitoring interface according to target display parameters; wherein the target display parameters are different from the default display parameters of the uterine EMG signal recording curve and the uterine contraction intensity recording curve; and / or synchronously displaying a respiratory signal.

[0141] In some embodiments, the processor 201 is further configured to execute a computer program to implement the following method: rectifying the uterine electromyography signal to obtain a rectified signal; obtaining the envelope value of the uterine electromyography signal based on the rectified signal; fitting the envelope value to obtain the corresponding uterine contraction intensity; and forming a corresponding uterine contraction intensity recording curve based on the uterine contraction intensity.

[0142] It is understood that the processor 201 is also used to execute computer programs to implement the technical solutions of any of the above embodiments.

[0143] See Figure 13 , Figure 13 This is a schematic diagram of another embodiment of the uterine electromyography signal processing system provided in this application. The processing system 100 includes: a signal acquisition device 10, a processing device 20, and a display device 30.

[0144] The signal acquisition device 10 is used to acquire electrical signals relative to the abdominal wall surface of the uterus.

[0145] The processing device 20 is coupled to the signal acquisition device 10 to acquire the electrical signal of the abdominal wall surface relative to the uterus and the respiratory signal; the respiratory signal is used to separate the respiratory interference signal from the electrical signal of the abdominal wall surface to obtain the uterine electromyography signal.

[0146] The display device 30 is used to simultaneously display the uterine electromyography signal recording curve corresponding to the uterine electromyography signal and the uterine contraction intensity recording curve corresponding to the uterine electromyography signal on the monitoring interface.

[0147] It is understood that the signal acquisition device 10, the processing device 20, and the display device 30 cooperate with each other to realize the technical solution of any of the above embodiments.

[0148] In summary, in this embodiment, respiratory signals with most overlapping frequencies are separated from the electrical signals on the abdominal wall surface using respiratory signals to obtain uterine electromyography signals, thereby reducing interference signals in the uterine electromyography signals.

[0149] Furthermore, because clean uterine electromyography (EMG) signals are obtained, the EMG signal recording curves and uterine contraction intensity recording curves displayed on the monitoring interface can more accurately represent the actual state of the mother, improving the accuracy of contraction detection. Specifically, when maternal respiratory interference is detected in real time, this information needs to be simultaneously presented on the uterine EMG monitoring interface. This helps medical staff distinguish between genuine contractions and those caused by interference, facilitating diagnosis and reducing the misdiagnosis rate.

[0150] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0151] If the integrated units in the other embodiments described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0152] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for processing uterine electromyography signals, characterized in that, The processing method includes: Acquire electrical and respiratory signals relative to the abdominal wall surface of the uterus; The respiratory interference signal is separated from the electrical signal on the abdominal wall surface using the respiratory signal to obtain the uterine electromyography signal.

2. The processing method according to claim 1, characterized in that, The acquisition of electrical signals and respiratory signals relative to the abdominal wall surface of the uterus includes: The electrical signals on the abdominal wall surface and the respiratory signals are collected using a signal acquisition device.

3. The processing method according to claim 2, characterized in that, The signal acquisition device includes a first acquisition channel and a second acquisition channel. The acquisition of the abdominal wall surface electrical signal and the respiratory signal using the signal acquisition device includes: The electrical signals on the abdominal wall surface are acquired using the first acquisition channel; The respiratory signal is acquired using the second acquisition channel.

4. The processing method according to claim 1, characterized in that, Respiratory signals are obtained using the following methods: Extract the mixed maternal and fetal electrocardiogram signal from the electrical signals on the abdominal wall surface; The R-wave and S-wave locations of the QRS complex in the maternal electrocardiogram (MCC) signal were determined from the maternal-fetal mixed ECG signal. The respiratory signal is obtained using the R-wave location point and the S-wave location point.

5. The processing method according to claim 4, characterized in that, The process of obtaining the respiratory signal using the R-wave location and the S-wave location includes: For each QRS wave, a first coordinate point is obtained using the R-wave position point and the amplitude of the R-wave position point in the QRS wave; a second coordinate point is obtained using the median point of the R-wave position point and the S-wave position point, and the sum of the amplitude of the R-wave position point and the amplitude of the S-wave position point; and a third coordinate point is obtained using the S-wave position point and the amplitude of the S-wave position point. The resampled signal is obtained using the first coordinate point, second coordinate point, and third coordinate point corresponding to all the QRS waves; The resampled signal is processed using a low-pass filter to obtain the respiratory signal.

6. The processing method according to claim 1, characterized in that, The step of separating respiratory interference signals from the abdominal wall surface electrical signals using the respiratory signals to obtain uterine electromyography signals includes: The electrical signals on the abdominal wall surface are preprocessed to obtain preprocessed uterine electromyography signals; wherein, the preprocessed uterine electromyography signals include uterine electromyography signals and respiratory interference signals; The respiratory interference signal is separated from the uterine electromyography preprocessing signal using the respiratory signal to obtain the uterine electromyography signal.

7. The processing method according to claim 6, characterized in that, The step of separating the respiratory interference signal from the uterine electromyography preprocessing signal using the respiratory signal to obtain the uterine electromyography signal includes: By subtracting the preprocessed uterine electromyography signal from the respiratory signal, the respiratory interference signal is separated to obtain the uterine electromyography signal; Alternatively, using the respiratory signal as the desired signal, adaptive filtering is applied to the preprocessed uterine electromyography signal to obtain the respiratory estimation signal in the preprocessed uterine electromyography signal; by subtracting the preprocessed uterine electromyography signal from the respiratory estimation signal, the respiratory interference signal is separated to obtain the uterine electromyography signal. Alternatively, perform a fast Fourier transform on the respiratory signal to obtain the respiratory frequency corresponding to the respiratory signal; combine the respiratory frequency to separate the respiratory interference signal from the preprocessed uterine electromyography signal to obtain the uterine electromyography signal.

8. The processing method according to claim 7, characterized in that, The step of separating the respiratory interference signal from the uterine electromyography preprocessing signal by combining the respiratory frequency to obtain the uterine electromyography signal includes: A notch filter is constructed based on the respiratory frequency, and the notch filter is used to process the preprocessed uterine electromyography signal to separate the respiratory interference signal and obtain the uterine electromyography signal. Alternatively, the preprocessed uterine electromyography signal can be subjected to multi-layer wavelet decomposition; the coefficients of the wavelet decomposition layer within the filtering range can be set to zero in combination with the respiratory frequency, and wavelet reconstruction can be performed using the coefficients of the wavelet decomposition layer outside the filtering range to obtain the uterine electromyography signal.

9. The processing method according to claim 1, characterized in that, The step of separating respiratory interference signals from the abdominal wall surface electrical signals using the respiratory signals to obtain uterine electromyography signals includes: Determine whether respiratory interference exists in the electrical signals on the abdominal wall surface; If so, the respiratory interference signal is separated from the electrical signal on the abdominal wall surface using the respiratory signal to obtain the uterine electromyography signal.

10. The processing method according to claim 9, characterized in that, The determination of whether respiratory interference exists in the electrical signal on the abdominal wall surface includes: The peak points of the respiratory signal are used to determine whether respiratory interference exists; Alternatively, the peak points of the respiratory signal and the envelope signal peak points of the uterine electromyography signal can be used to determine whether respiratory interference exists; Alternatively, a fast Fourier transform can be performed on the uterine electromyography signal and the respiratory signal to obtain a first peak frequency corresponding to the uterine electromyography signal and a second peak frequency corresponding to the respiratory signal, and the presence of respiratory interference can be determined using the first peak frequency and the second peak frequency.

11. The processing method according to any one of claims 1-10, characterized in that, After separating the respiratory interference signal from the abdominal wall surface electrical signal using the respiratory signal to obtain the uterine electromyography signal, the process includes: The monitoring interface simultaneously displays the uterine electromyography (EMG) signal recording curve corresponding to the uterine EMG signal and the uterine contraction intensity recording curve corresponding to the uterine EMG signal.

12. The processing method according to claim 11, characterized in that, The method of synchronously displaying the uterine electromyography (EMG) signal recording curve corresponding to the uterine EMG signal and the uterine contraction intensity recording curve corresponding to the uterine EMG signal on the monitoring interface also includes: Obtain the target time period corresponding to the respiratory signal; The monitoring interface displays a marker for the target time period; wherein the marker is used to characterize the presence of respiratory disturbances within the target time period. And / or, the monitoring interface displays the uterine electromyography signal recording curve and the uterine contraction intensity recording curve within the target time period according to the target display parameters; wherein, the target display parameters are different from the default display parameters of the uterine electromyography signal recording curve and the uterine contraction intensity recording curve; And / or, synchronously display the respiratory signal.

13. The processing method according to claim 11, characterized in that, Before synchronously displaying the uterine electromyography (EMG) signal recording curve corresponding to the uterine EMG signal and the uterine contraction intensity recording curve corresponding to the uterine EMG signal on the monitoring interface, the process includes: The uterine electromyography signal is rectified to obtain a rectified signal; The envelope value of the uterine electromyography signal is obtained based on the rectified signal; The envelope value is fitted to obtain the corresponding uterine contraction intensity, and a corresponding uterine contraction intensity recording curve is formed based on the uterine contraction intensity.

14. A device for processing uterine electromyography signals, characterized in that, The processing device includes a processor and a memory and a communication interface coupled to the processor; The communication interface is used to couple to a signal acquisition device, the memory is used to store a computer program, and the processor is used to execute the computer program to implement the method as described in any one of claims 1-13.

15. A system for processing uterine electromyography signals, characterized in that, The processing system includes: A signal acquisition device for acquiring electrical signals relative to the abdominal wall surface of the uterus; A processing device, coupled to the signal acquisition device, wherein the processing device is the processing device as described in claim 14.

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