CN116898418A - Pregnancy mother and infant physiological index dynamic monitoring method and system - Google Patents
Pregnancy mother and infant physiological index dynamic monitoring method and system Download PDFInfo
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Abstract
The invention provides a pregnancy mother and infant physiological index dynamic monitoring method and a monitoring system, wherein the monitoring method comprises the following steps: collecting mixed heart sound signals and mixed electrocardiosignals of mother and infant during pregnancy; separating the mixed heart sound signal and the mixed electrocardiosignal to respectively obtain a maternal heart sound signal and an electrocardiosignal and a fetal heart sound signal and an electrocardiosignal, and optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve and a maternal heart rate curve; fetal movement data is calculated based on fetal heart sound signals and the fetal heart signal, and uterine contraction signals are decomposed by combining low-frequency signal components in the fetal heart sound signals and the fetal heart signal to obtain uterine contraction parameters. The invention collects the mixed heart sound signals and the mixed electrocardiosignals of the mother and infant during pregnancy and utilizes the physiological signal separation and filtering algorithm to realize the real-time and accurate measurement of a plurality of physiological indexes such as mother heart rate, fetal movement, uterine contraction and the like.
Description
Technical Field
The invention relates to the field of pregnancy mother and infant physiological index dynamic monitoring, in particular to a pregnancy mother and infant physiological index dynamic monitoring method and a pregnancy mother and infant physiological index dynamic monitoring system.
Background
With the development of medical monitoring technology, real-time physiological parameter monitoring of pregnant women and infants has become possible. The traditional monitoring mode has the defects of complex operation, strong intermittence, insufficient information, low data reliability and the like. The real-time monitoring of the maternal heart rate (mHR), fetal heart rate (fHR), fetal movement, uterine contractions and other physiological parameters of the mother and infant has the following advantages: (1) The fetal condition is reflected in time, the oxygenation condition of the fetus can be judged, the intrauterine embarrassment can be found in time, and intervention measures are taken to prevent fetal damage. (2) By monitoring the uterine contraction condition, the possibility of premature delivery can be judged, the premature delivery risk can be predicted, and a corresponding delivery plan can be formulated. (3) Continuous monitoring can find abnormal conditions such as fetal movement reduction and the like, and is helpful for early finding out the intrauterine restriction or the nervous system diseases of the fetus. (4) Combined with ultrasonic and CT techniques, fetal growth can be more comprehensively assessed. (5) A large amount of data can be accumulated after long-time monitoring, analysis and research are carried out, and the physiological state of the mother and the infant is deeply understood. (6) The real-time monitoring increases the sense of safety of pregnant women, helps to reduce anxiety and improves the adaptability of pregnant women. (7) Provides a basis for disease screening and early discovery of neonates after birth. (8) The repeated invasive examination is avoided, the real-time monitoring is more in line with the noninvasive concept, and the pregnancy examination experience is improved. Therefore, the continuous monitoring of the health condition of the fetus is realized, problems are found, the intervention is carried out early, and the pregnancy quality is improved, so that the method has become an important development direction of modern pregnancy health care.
Disclosure of Invention
Aiming at the technical problems existing in the prior art, the invention provides a pregnancy mother and infant physiological index dynamic monitoring method and a monitoring system.
According to a first aspect of the invention, a method for dynamically monitoring physiological indexes of a pregnant mother and infant is provided, comprising the following steps:
collecting mixed heart sound signals and mixed electrocardiosignals of pregnant women and infants in a set time;
separating the mixed heart sound signals to obtain mother heart sound signals and fetus heart sound signals, and respectively processing the mother heart sound signals and the fetus heart sound signals to obtain mother heart rate and fetus heart rate;
filtering and separating the mixed electrocardiosignals to separate mother electrocardiosignals and fetus electrocardiosignals;
optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve;
and calculating fetal movement data based on the fetal heart sound signals and the fetal heart electric signals, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart electric signals to decompose uterine contraction signals and obtain uterine contraction parameters.
On the basis of the technical scheme, the invention can also make the following improvements.
Optionally, collecting the mixed heart sound signal and the mixed electrocardiosignal of the mother and infant during pregnancy in a set time includes:
the sensor module comprising the acceleration sensor and the electrocardiosignal is stuck near the navel position of the pregnant woman, and the mixed heart sound signals and the mixed electrocardiosignal of the mother and the fetus of the pregnant mother and the infant in a preset time period are respectively acquired through the acceleration sensor and the electrocardiosignal.
Optionally, separating the mixed heart sound signal to obtain a maternal heart sound signal and a fetal heart sound signal, including:
the maternal and fetal heart sound signals are separated from the mixed heart sound signal by a band-pass filter based on the difference in maternal and fetal heart sound frequency ranges.
Optionally, the separating, by a band-pass filter, the maternal heart sound signal and the fetal heart sound signal from the mixed heart sound signal includes:
designing a plurality of band-pass filters with different bandwidths, and separating a maternal heart sound signal and a fetal heart sound signal from the mixed heart sound signal through each band-pass filter according to the difference of the frequency ranges of the maternal heart sound and the fetal heart sound;
the quality of the maternal and fetal heart sound signals separated by each band-pass filter is evaluated, and the maternal and fetal heart sound signals with the best quality are selected as the maternal and fetal heart sound signals finally separated.
Optionally, the processing the maternal heart sound signal and the fetal heart sound signal respectively to obtain a maternal heart rate and a fetal heart rate respectively includes:
amplitude equalization is carried out on maternal heart sound signals or fetal heart sound signals, and an envelope curve of the heart sound signals is obtained based on Hilbert transformation;
based on the envelope line of the heart sound signal, calculating a Teager energy operator of the heart sound signal, and enhancing the heart sound signal;
performing peak detection on the enhanced heart sound signals, detecting a plurality of peaks, and based on the shape and the size of each peak, respectively judging a first heart sound signal and a second heart sound signal of the heart sound signals based on a Gaussian mixture model clustering algorithm, wherein the first heart sound signal refers to a heart sound signal with a larger amplitude value, and the second heart sound signal refers to a heart sound signal with a smaller amplitude value;
calculating the instantaneous fetal heart rate of the fetus according to the time interval between two adjacent first heart sound signals in the fetal heart sound signals, obtaining a dynamic curve of the fetal heart, and calculating the fetal heart rate of the mother according to the time interval between two adjacent first heart sound signals in the maternal heart sound signals.
Optionally, the performing amplitude equalization on the maternal heart sound signal or the fetal heart sound signal includes:
pre-dividing the heart sound signal according to the heart sound period, and respectively detecting peak values in each period;
and for the sampling points in each period, dividing the heart sound signal amplitude of each sampling point by the peak value to perform amplitude equalization on the heart sound signals in the period, so as to obtain the heart sound signals after the amplitude equalization.
Optionally, filtering and separating the mixed heart sound signal to separate a maternal heart signal and a fetal heart signal, including:
adopting a recursive inverse moving average filter to carry out high-pass filtering on the mixed electrocardiosignal, and carrying out low-pass filtering and power frequency filtering on the mixed electrocardiosignal after high-frequency filtering to obtain the mixed electrocardiosignal after filtering;
extracting a signal part with the maximum correlation with a maternal electrocardio QRS complex in the mixed electrocardio signals by adopting a matched filtering algorithm, and determining the maternal heart beat position according to the signal part to generate a maternal electrocardio template;
based on the mother electrocardiosignal template, the mother electrocardiosignal and the fetal electrocardiosignal are separated from the mixed electrocardiosignal by using a template subtraction and an adaptive filter.
Optionally, the separating the maternal electrocardiosignal and the fetal electrocardiosignal from the mixed electrocardiosignal by using a template subtraction and an adaptive filter based on the maternal electrocardiosignal template comprises:
subtracting the mother electrocardio templates from the mixed electrocardio signals to obtain separated first fetal electrocardio signals;
according to the maternal electrocardio template, based on a multichannel self-adaptive FIR filter, adaptively eliminating maternal electrocardio components in the mixed electrocardio signals, and separating out a second fetal electrocardio signal;
and fusing the first fetal electrocardiosignal and the second fetal electrocardiosignal to obtain a high-quality fetal electrocardiosignal.
Optionally, optimizing and fusing the fetal heart sound signal and the fetal heart electrical signal to obtain an optimal fetal heart rate curve, including:
and (3) evaluating the quality of the fetal heart sound signal and the fetal electrocardiosignal in real time, and calculating an optimal fetal heart rate curve from the fetal heart sound signal and the fetal electrocardiosignal with better quality by using a Kalman filtering algorithm based on the fetal heart sound signal and the fetal electrocardiosignal with better quality in each time period.
According to a second aspect of the present invention, there is provided a pregnancy mother and infant physiological index dynamic monitoring system, comprising:
the acquisition module is used for acquiring mixed heart sound signals and mixed electrocardiosignals of mother and infant during pregnancy within a set time;
the first processing module is used for separating the mixed heart sound signals to obtain mother heart sound signals and fetal heart sound signals, and processing the mother heart sound signals and the fetal heart sound signals respectively to obtain mother heart rate and fetal heart rate respectively;
the first processing module is used for filtering and separating the mixed electrocardiosignals to separate mother electrocardiosignals and fetus electrocardiosignals; optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve; and the method is also used for calculating fetal movement data based on the fetal heart sound signals and the fetal heart signal, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart signal to decompose uterine contraction signals and obtain uterine contraction parameters.
The invention provides a pregnancy mother and infant physiological index dynamic monitoring method and a pregnancy mother and infant physiological index dynamic monitoring system, which are used for collecting mixed heart sound signals and mixed electrocardiosignals of the mother and infant during pregnancy and realizing real-time and accurate measurement of a plurality of physiological indexes such as mother heart rate, fetal movement, uterine contraction and the like by utilizing a physiological signal separation and filtering algorithm.
Drawings
FIG. 1 is a flow chart of a method for dynamically monitoring physiological indexes of a pregnant mother and infant provided by the invention;
fig. 2 is a schematic structural diagram of a pregnancy mother-infant physiological index dynamic monitoring system provided by the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. In addition, the technical features of each embodiment or the single embodiment provided by the invention can be combined with each other at will to form a feasible technical scheme, and the combination is not limited by the sequence of steps and/or the structural composition mode, but is necessarily based on the fact that a person of ordinary skill in the art can realize the combination, and when the technical scheme is contradictory or can not realize, the combination of the technical scheme is not considered to exist and is not within the protection scope of the invention claimed.
Based on the monitoring of physiological indicators for pregnant mother and infant, cardiac imaging (CTG) is currently the standard external monitoring means for the care of the fetus during non-stress testing (NST), systolic stress testing (CST) and during delivery. Currently, CTG can only be applied by medical professionals, as CTG doppler sensors must be placed accurately to obtain a powerful signal, and may need to be repositioned with fetal or maternal movement. In addition, CTG uses doppler ultrasound, which actively deposits energy into tissue, other limitations of recording fetal and maternal signals CTG include sporadic measurements in clinic or in hospitals, lack of automated analysis, and lower measurement accuracy in high Body Mass Index (BMI) pregnant women. Some studies have shown that noninvasive fPCG or fpgc is a very effective alternative to doppler-based CTG. These methods provide fHR with additional information not available from traditional CTG monitoring, such as detecting fetal heart dysfunction (murmurs, split effects, tachycardia, arrhythmia), predicting congenital heart and developmental defects, or determining fetal position in the uterus. However, both fetal electrocardiography and PCG have some drawbacks. For example, between 28 and 32 weeks of gestation, the noninvasive fECG signal is difficult to detect when a lipoma forms around the fetus. The quality of the fPCG signal is affected by the ambient sound and the position of the fetus relative to the sensor. Since the sensitivity of the sensor is proportional to the thickness of the patient's abdominal wall, the result is also significantly affected by the BMI. These and other problems of noninvasive fetal monitoring can be addressed by a combination of individual monitoring techniques. The portable fetal heart fetal movement detection patch is named as sprouting, the product accurately identifies weak fetal movement signals by using an accelerometer, and fetal heart sounds are analyzed by using a micropressure sensor and an intelligent filtering algorithm, so that dynamic monitoring of fetal movement and fetal heart rate (fHR) is realized. However, the product needs to locate the fetal heart position of the fetus, has high requirements on experience and operation skills of pregnant women, and cannot realize real-time measurement of uterine contraction and mother heart rate. The happy bud is based on the principle of stethoscope, the medical auscultation type fetal monitoring technology of European Pentaveox group is adopted, indexes such as fetal heart rate, uterine contraction, fetal movement and the like can be obtained in real time, and the pregnant woman is guided to combine with real-time fetal heart sound of APP and intelligent positioning prompt through standard fetal heart sound, so that the fetal heart position is positioned, but the product needs two probes with larger volume, the use method is complex, and the movement and wearing comfort of the pregnant woman are severely limited in the use process. In addition, the system also comprises a basic functional module for acquiring multi-lead electrocardiosignals of the pregnant woman, including physiological signal detection and processing, signal characteristic extraction, data transmission and the like, so that noninvasive continuous monitoring of the mother and the fetus is realized, and the operation risk can be reduced and the time limitation can be overcome by indirectly acquiring the fetal electrocardiosignals. The system effectively solves the inconvenience and the danger caused by the detection of pregnant women in a hospital, overcomes the defect of excessive cables of the traditional equipment, completes data acquisition and processing in embedded equipment, reflects the measurement result on the portable equipment of the user in a wireless mode, avoids the complicated connection of wires, and ensures that the product tends to be miniaturized, family and has better user experience. However, when a pregnant woman or a fetus is abnormal, the electrocardiographic waveform is often severely disturbed, and the electrocardiographic signals of a plurality of channels are disturbed to different degrees. At this time, the confidence of the physiological parameters such as the fetal heart rate, fetal movement and the like, which are measured in real time only based on the electrocardiosignals, is not high. Since fECG and fPCG can exhibit the same heart cycle phase, fECG is less sensitive to external motion disturbance, fPCG is more robust to electrocardiographic anomalies, and combining the two to measure physiological parameters of pregnant women and fetuses has feasibility, which is of great benefit not only for home care, but also for future clinical practice. An example of a commercial device based on concurrent PCG and ECG monitoring, nuvo's Invu sensor, is the first remote monitoring system approved by the united states food and drug administration. The system has complex structure, numerous sensors and inconvenient wearing, and limits the normal activities of pregnant women. The system using the combination of fPCG and fPCG functions well, and is a promising alternative to CTG methods. This combination not only provides more accurate information of the fetal current state (than when such information is captured separately by different methods), but also increases the sensitivity and specificity of the monitoring technique, especially in cases where complete fHR monitoring is not possible due to fetal body surface sebum formation. Furthermore, even in early gestation, it is possible to continuously monitor fHR to detect fetal arrhythmias or to record other heart diseases.
Based on this, fig. 1 provides a flowchart of a method for dynamically monitoring physiological indexes of a mother and an infant during pregnancy, as shown in fig. 1, the method includes:
step 1, collecting mixed heart sound signals and mixed electrocardiosignals of pregnant women and infants in a set time.
As an embodiment, collecting a mixed heart sound signal and a mixed electrocardiosignal of a mother and an infant during pregnancy within a set time includes: the sensor module comprising the acceleration sensor and the electrocardiosignal is stuck near the navel position of the pregnant woman, and the mixed heart sound signals and the mixed electrocardiosignal of the mother and the fetus of the pregnant mother and the infant in a preset time period are respectively acquired through the acceleration sensor and the electrocardiosignal.
It can be understood that, firstly, the arrangement of the sensor is carried out, the pregnant woman needs to paste the sensor module consisting of the acceleration sensor and the electrocardio sensor at the position near the navel of the pregnant woman, so that the firmness in pasting the electrocardio electrode plate and the sensor module is ensured as much as possible, the sensor module is relatively attached to the surface of the abdominal skin, and the normal operation of data acquisition is ensured. After the sensor arrangement is completed, the pregnant woman should lie down or sit still as much as possible, the relaxation of the abdominal muscles is ensured as much as possible, and heart sounds and electrocardiographic data are acquired for a plurality of minutes. In the acquisition process, the pregnant woman does not speak aloud, does not move greatly, does not eat or contact other strong interference signal sources as much as possible, and further ensures the quality of signal acquisition. The acceleration sensor collects mixed heart shake signals (namely heart sound signals) of the mother and the infant, and the electrocardiosignal sensor collects mixed electrocardiosignals of the mother and the infant.
And 2, separating the mixed heart sound signals to obtain mother heart sound signals and fetal heart sound signals, and processing the mother heart sound signals and the fetal heart sound signals respectively to obtain mother heart rate and fetal heart rate respectively.
It can be understood that according to the collected electrocardiosignals and heart sound signals of the mother and the infant, physiological indexes such as the mother heart rate, the fetus heart rate, the fetal movement, the uterine contraction and the like are calculated in real time based on the following algorithm processing logic, so that the physiological indexes of the mother and the infant during pregnancy are dynamically, non-invasively and portably monitored.
First, the mixed heart sound signals are separated to obtain maternal heart sound signals and fetal heart sound signals. As an embodiment, separating the mixed heart sound signal to obtain a maternal heart sound signal and a fetal heart sound signal includes: the maternal and fetal heart sound signals are separated from the mixed heart sound signal by a band-pass filter based on the difference in maternal and fetal heart sound frequency ranges.
Wherein, through band-pass filter, separate mother heart sound signal and fetal heart sound signal from mixing heart sound signal, include: designing a plurality of band-pass filters with different bandwidths, and separating a maternal heart sound signal and a fetal heart sound signal from the mixed heart sound signal through each band-pass filter according to the difference of the frequency ranges of the maternal heart sound and the fetal heart sound; the quality of the maternal and fetal heart sound signals separated by each band-pass filter is evaluated, and the maternal and fetal heart sound signals with the best quality are selected as the maternal and fetal heart sound signals finally separated.
After the maternal heart sound signal and the fetal heart sound signal are separated from the mixed heart sound signal, the maternal heart sound signal and the fetal heart sound signal are respectively processed to obtain a maternal heart rate and a fetal heart rate. The method specifically comprises the following steps: amplitude equalization is carried out on maternal heart sound signals or fetal heart sound signals, and an envelope curve of the heart sound signals is obtained based on Hilbert transformation; based on the envelope line of the heart sound signal, calculating a Teager energy operator of the heart sound signal, and enhancing the heart sound signal; performing peak detection on the enhanced heart sound signals, detecting a plurality of peaks, and based on the shape and the size of each peak, respectively judging a first heart sound signal and a second heart sound signal of the heart sound signals based on a Gaussian mixture model clustering algorithm, wherein the first heart sound signal refers to a heart sound signal with a larger amplitude value, and the second heart sound signal refers to a heart sound signal with a smaller amplitude value; calculating the instantaneous fetal heart rate of the fetus according to the time interval between two adjacent first heart sound signals in the fetal heart sound signals, obtaining a dynamic curve of the fetal heart, and calculating the fetal heart rate of the mother according to the time interval between two adjacent first heart sound signals in the maternal heart sound signals.
Wherein, the performing amplitude equalization on the maternal heart sound signal or the fetal heart sound signal includes: pre-dividing the heart sound signal according to the heart sound period, and respectively detecting peak values in each period; and for the sampling points in each period, dividing the heart sound signal amplitude of each sampling point by the peak value to perform amplitude equalization on the heart sound signals in the period, so as to obtain the heart sound signals after the amplitude equalization.
It can be understood that the heart sound signal is pre-divided according to the heart sound period, the peak value (maximum amplitude point) in each period is detected, and the amplitude of each sampling point is divided by the peak value to perform amplitude equalization on the signal, so as to obtain the heart sound signal after the amplitude equalization. And then, calculating an envelope curve of the heart sound signal based on Hilbert transformation, and calculating a Teager energy operator of the heart sound signal based on the envelope curve of the heart sound signal, wherein the Teager energy operator is a nonlinear operator capable of effectively extracting signal energy, and for a given signal, the Teager operation can reflect the instantaneous change of the energy and can enhance the peak value of the given signal. The method comprises the steps of carrying out peak detection on the enhanced heart sound signals, detecting a plurality of peak signals, respectively judging first and second heart sound signals in the heart sound signals based on a Gaussian mixture model clustering algorithm according to the peak shape and the peak size, wherein the first heart sound signal refers to a signal component with a relatively large amplitude value, the second heart sound signal refers to a signal component with a relatively small amplitude value, and the shape characteristics of the heart sound signals, such as the amplitude and the duration of the heart sound signals, can be described by combining the definition of the first heart sound signal and the second heart sound signal, and respectively recording the corresponding time coordinates of the first heart sound signal and the second heart sound signal. Based on the time interval between two adjacent first heart sounds, calculating the instantaneous fetal heart rate of the fetus, thereby obtaining a dynamic curve of the fetal heart.
Similarly, the maternal heart sound signal may be processed in the same manner to obtain the maternal heart rate.
And step 3, filtering and separating the mixed electrocardiosignals to separate mother electrocardiosignals and fetus electrocardiosignals.
It will be appreciated that the above steps are performed on heart sound signals and that the present step is performed on electrocardiosignals. As an embodiment, filtering and separating the mixed electrocardiograph signal to separate a maternal electrocardiograph signal and a fetal electrocardiograph signal, including: adopting a recursive inverse moving average filter to carry out high-pass filtering on the mixed electrocardiosignal, and carrying out low-pass filtering and power frequency filtering on the mixed electrocardiosignal after high-frequency filtering to obtain the mixed electrocardiosignal after filtering; extracting a signal part with the maximum correlation with a maternal electrocardio QRS complex in the mixed electrocardio signals by adopting a matched filtering algorithm, and determining the maternal heart beat position according to the signal part to generate a maternal electrocardio template; based on the mother electrocardiosignal template, the mother electrocardiosignal and the fetal electrocardiosignal are separated from the mixed electrocardiosignal by using a template subtraction and an adaptive filter.
Wherein, based on maternal electrocardio template, utilize template subtraction and adaptive filter to separate maternal electrocardio signal and fetal electrocardio signal from mixed electrocardio signal, include: subtracting the mother electrocardio templates from the mixed electrocardio signals to obtain separated first fetal electrocardio signals; according to the maternal electrocardio template, based on a multichannel self-adaptive FIR filter, adaptively eliminating maternal electrocardio components in the mixed electrocardio signals, and separating out a second fetal electrocardio signal; the first fetal electrocardiosignal and the second fetal electrocardiosignal are fused.
It will be appreciated that the mixed electrocardiographic signals are separated and the original mixed electrocardiographic signals are high pass filtered using a recursive inverse moving average filter that removes low baseline drift while retaining the higher frequency content of the fetal electrocardiographic signature. Then, the low-pass filter is utilized to filter the signals, so that the interference of high-frequency components is eliminated, the interference signals such as high-frequency myoelectric noise and the like can be effectively eliminated, and the signal-to-noise ratio of the signals is improved. And finally, filtering the electrocardiosignal by using a notch filter taking power frequency as the center, and obviously inhibiting the power frequency interference signal.
And detecting the peak value of the R wave corresponding to the QRS wave in the maternal electrocardio by using a peak detection algorithm for the filtered mixed electrocardio signals. Specifically, on the filtered electrocardiosignal, a correlation matched filtering algorithm is adopted to extract a signal part with the maximum correlation with the maternal electrocardio QRS complex, so that the maternal heart beat position is determined, and a maternal heart beat template is generated.
And respectively subtracting the maternal electrocardio templates from the mixed signals by using template subtraction to obtain maternal and infant separation signals, and constructing a multi-channel self-adaptive FIR filter by using a self-adaptive filter to adaptively eliminate a separation algorithm of maternal electrocardio components to obtain maternal and infant separation signals.
The mixed electrocardiosignals are separated by adopting two separation modes, so that the separated maternal electrocardiosignals and fetal electrocardiosignals are obtained, the quality of the separation signals obtained by the two separation modes is evaluated, the separation signals with better quality are selected as the final separated maternal electrocardiosignals and fetal electrocardiosignals, and the mixed electrocardiosignals are separated by adopting two different separation modes, so that the accuracy and the reliability of a separation algorithm are improved.
And step 4, optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve.
The maternal heart sound signal and the fetal heart sound signal are separated from the mixed heart sound signal and the maternal heart signal and the fetal heart signal are separated from the mixed heart signal through the steps. As an embodiment, optimizing and fusing the fetal heart sound signal and the fetal heart signal to obtain an optimal fetal heart rate curve includes: and (3) evaluating the quality of the fetal heart sound signal and the fetal electrocardiosignal in real time, and calculating an optimal fetal heart rate curve from the fetal heart sound signal and the fetal electrocardiosignal with better quality by using a Kalman filtering algorithm based on the fetal heart sound signal and the fetal electrocardiosignal with better quality in each time period.
And 5, calculating fetal movement data based on the fetal heart sound signals and the fetal heart signal, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart signal to decompose uterine contraction signals and obtain uterine contraction parameters.
It can be understood that based on the characteristics of the heart sound signal and the electrocardiosignal, the heart sound signal and the electrocardiosignal complement each other, mutual verification is performed, the heart rate of the fetus measured by the heart sound signal and the electrocardiosignal is optimized and fused by using a Kalman filtering algorithm, an optimal fetal heart rate fHR curve is obtained, fetal movement data is calculated based on the heart rate curve, and the uterine contraction parameter is obtained by combining low-frequency signal components in the heart sound signal and the electrocardiosignal and decomposing the uterine contraction signal.
The analyzed physiological indexes are transmitted to the upper computer software or the mobile terminal software of the mobile phone in a Bluetooth mode, and the curves of the heart rate, the fetal heart, the fetal movement and the Gong Su of the mother are displayed and recorded in real time, so that the pregnant woman can conveniently and intuitively see the physiological states of the pregnant woman and the fetus.
The fetal physiological parameters were evaluated according to the following rules:
(1) Fetal heart rate baseline (bpm): less than 100 or greater than 180 is 0 minutes; 100 to 119 or 161 to 180 is 1 minute; 120 to 160 minutes.
(2) Fetal heart rate variability amplitude (bpm): less than 5 is 0 minutes; 5 to 10 are 1 minute; more than 10 is 2 minutes.
(3) Fetal heart rate acceleration (bpm): less than 5 is 0 minutes; 5 to 10 are 1 minute; more than 10 is 2 minutes.
(4) Fetal heart rate deceleration: the repeated late deceleration or repeated variation deceleration is 0 minutes; variation deceleration is 1 minute; no or early deceleration was 4 minutes.
Adding the scores of the (1) - (4), and obtaining positive or negative, specifically less than or equal to 4, according to the added scores; 5-7 are classified as suspicious; 8 to 10 are negative. Reasonable advice is given by combining the heart rate change states of the pregnant woman and the fetus, so that the pregnant woman can take preventive measures in time, the pregnancy quality is improved, and the health of the mother and the infant is further ensured.
Referring to fig. 2, the invention provides a pregnancy mother and infant physiological index dynamic monitoring system, which comprises an acquisition module 201, a first processing module 202 and a second processing module 203, wherein:
the acquisition module 201 is used for acquiring mixed heart sound signals and mixed electrocardiosignals of pregnant mother and infant in a set time;
a first processing module 202, configured to separate the mixed heart sound signals to obtain a maternal heart sound signal and a fetal heart sound signal, and process the maternal heart sound signal and the fetal heart sound signal respectively to obtain a maternal heart rate and a fetal heart rate respectively;
the second processing module 203 is configured to filter and separate the mixed electrocardiograph signal, and separate a maternal electrocardiograph signal and a fetal electrocardiograph signal; optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve; and the method is also used for calculating fetal movement data based on the fetal heart sound signals and the fetal heart signal, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart signal to decompose uterine contraction signals and obtain uterine contraction parameters.
It can be understood that the pregnancy mother and infant physiological index dynamic monitoring system provided by the invention corresponds to the pregnancy mother and infant physiological index dynamic monitoring method provided in the foregoing embodiments, and the relevant technical features of the pregnancy mother and infant physiological index dynamic monitoring system may refer to the relevant technical features of the pregnancy mother and infant physiological index dynamic monitoring method, which are not described herein.
The pregnancy mother and infant physiological index dynamic monitoring method and system provided by the embodiment of the invention have the following beneficial effects:
(1) The operation is simple, and the acquisition scheme only comprises an accelerometer and a single-channel electrocardio sensor, so that the pregnant woman can conveniently and automatically measure.
(2) The method fuses the heart shock and the electrocardiosignal, is insensitive to the layout position of the sensor, and does not need medical care professionals to reposition the device to find the position of the fetal heart.
(3) Accurately and stably acquiring multidimensional maternal and infant physiological parameters such as maternal heart rate (mHR), fetal heart rate (fHR), fetal movement, uterine contraction and the like;
(4) The sensor is simple in combination, comfortable in wearing mode and suitable for long-time continuous monitoring.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A pregnancy mother and infant physiological index dynamic monitoring method is characterized by comprising the following steps:
collecting mixed heart sound signals and mixed electrocardiosignals of pregnant women and infants in a set time;
separating the mixed heart sound signals to obtain mother heart sound signals and fetus heart sound signals, and respectively processing the mother heart sound signals and the fetus heart sound signals to obtain mother heart rate and fetus heart rate;
filtering and separating the mixed electrocardiosignals to separate mother electrocardiosignals and fetus electrocardiosignals;
optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve;
and calculating fetal movement data based on the fetal heart sound signals and the fetal heart electric signals, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart electric signals to decompose uterine contraction signals and obtain uterine contraction parameters.
2. The method for dynamically monitoring the physiological index of the mother and infant during pregnancy according to claim 1, wherein the step of collecting the mixed heart sound signals and the mixed electrocardiosignals of the mother and infant during pregnancy within a set time comprises the following steps:
the sensor module comprising the acceleration sensor and the electrocardiosignal is stuck near the navel position of the pregnant woman, and the mixed heart sound signals and the mixed electrocardiosignal of the mother and the fetus of the pregnant mother and the infant in a preset time period are respectively acquired through the acceleration sensor and the electrocardiosignal.
3. The method for dynamically monitoring the physiological index of a mother and infant during pregnancy according to claim 1, wherein the step of separating the mixed heart sound signals to obtain maternal heart sound signals and fetal heart sound signals comprises the steps of:
the maternal and fetal heart sound signals are separated from the mixed heart sound signal by a band-pass filter based on the difference in maternal and fetal heart sound frequency ranges.
4. A method for dynamically monitoring physiological index of a mother and infant during pregnancy according to claim 3, wherein separating the maternal heart sound signal and the fetal heart sound signal from the mixed heart sound signal by a band-pass filter comprises:
designing a plurality of band-pass filters with different bandwidths, and separating a maternal heart sound signal and a fetal heart sound signal from the mixed heart sound signal through each band-pass filter according to the difference of the frequency ranges of the maternal heart sound and the fetal heart sound;
the quality of the maternal and fetal heart sound signals separated by each band-pass filter is evaluated, and the maternal and fetal heart sound signals with the best quality are selected as the maternal and fetal heart sound signals finally separated.
5. The method for dynamically monitoring physiological indexes of a mother and an infant during pregnancy according to claim 1 or 4, wherein the processing the maternal heart sound signal and the fetal heart sound signal respectively to obtain a maternal heart rate and a fetal heart rate respectively comprises:
amplitude equalization is carried out on maternal heart sound signals or fetal heart sound signals, and an envelope curve of the heart sound signals is obtained based on Hilbert transformation;
based on the envelope line of the heart sound signal, calculating a Teager energy operator of the heart sound signal, and enhancing the heart sound signal;
performing peak detection on the enhanced heart sound signals, detecting a plurality of peaks, and based on the shape and the size of each peak, respectively judging a first heart sound signal and a second heart sound signal of the heart sound signals based on a Gaussian mixture model clustering algorithm, wherein the first heart sound signal refers to a heart sound signal with a larger amplitude value, and the second heart sound signal refers to a heart sound signal with a smaller amplitude value;
calculating the instantaneous fetal heart rate of the fetus according to the time interval between two adjacent first heart sound signals in the fetal heart sound signals, obtaining a dynamic curve of the fetal heart, and calculating the fetal heart rate of the mother according to the time interval between two adjacent first heart sound signals in the maternal heart sound signals.
6. The method for dynamically monitoring physiological index of mother and infant during pregnancy according to claim 5, wherein the performing amplitude equalization on maternal heart sound signals or fetal heart sound signals comprises:
pre-dividing the heart sound signal according to the heart sound period, and respectively detecting peak values in each period;
and for the sampling points in each period, dividing the heart sound signal amplitude of each sampling point by the peak value to perform amplitude equalization on the heart sound signals in the period, so as to obtain the heart sound signals after the amplitude equalization.
7. The method for dynamically monitoring physiological index of mother and infant during pregnancy according to claim 1, wherein filtering and separating the mixed electrocardiosignals to separate maternal electrocardiosignals and fetal electrocardiosignals comprises:
adopting a recursive inverse moving average filter to carry out high-pass filtering on the mixed electrocardiosignal, and carrying out low-pass filtering and power frequency filtering on the mixed electrocardiosignal after high-frequency filtering to obtain the mixed electrocardiosignal after filtering;
extracting a signal part with the maximum correlation with a maternal electrocardio QRS complex in the mixed electrocardio signals by adopting a matched filtering algorithm, and determining the maternal heart beat position according to the signal part to generate a maternal electrocardio template;
based on the mother electrocardiosignal template, the mother electrocardiosignal and the fetal electrocardiosignal are separated from the mixed electrocardiosignal by using a template subtraction and an adaptive filter.
8. The method for dynamically monitoring physiological index of mother and infant during pregnancy according to claim 7, wherein the step of separating the maternal and fetal electrocardiosignals from the mixed electrocardiosignals by using template subtraction and adaptive filters based on the maternal electrocardiosignal template comprises:
subtracting the mother electrocardio templates from the mixed electrocardio signals to obtain separated first fetal electrocardio signals;
according to the maternal electrocardio template, based on a multichannel self-adaptive FIR filter, adaptively eliminating maternal electrocardio components in the mixed electrocardio signals, and separating out a second fetal electrocardio signal;
and fusing the first fetal electrocardiosignal and the second fetal electrocardiosignal to obtain a high-quality fetal electrocardiosignal.
9. The method for dynamically monitoring physiological indexes of a mother and an infant during pregnancy according to claim 1, wherein optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve comprises:
and (3) evaluating the quality of the fetal heart sound signal and the fetal electrocardiosignal in real time, and calculating an optimal fetal heart rate curve from the fetal heart sound signal and the fetal electrocardiosignal with better quality by using a Kalman filtering algorithm based on the fetal heart sound signal and the fetal electrocardiosignal with better quality in each time period.
10. A pregnancy mother-infant physiological index dynamic monitoring system is characterized by comprising:
the acquisition module is used for acquiring mixed heart sound signals and mixed electrocardiosignals of mother and infant during pregnancy within a set time;
the first processing module is used for separating the mixed heart sound signals to obtain mother heart sound signals and fetal heart sound signals, and processing the mother heart sound signals and the fetal heart sound signals respectively to obtain mother heart rate and fetal heart rate respectively;
the first processing module is used for filtering and separating the mixed electrocardiosignals to separate mother electrocardiosignals and fetus electrocardiosignals; optimizing and fusing the fetal heart sound signal and the fetal electrocardiosignal based on the characteristics of the fetal heart sound signal and the fetal electrocardiosignal to obtain an optimal fetal heart rate curve; and the method is also used for calculating fetal movement data based on the fetal heart sound signals and the fetal heart signal, and combining low-frequency signal components in the fetal heart sound signals and the fetal heart signal to decompose uterine contraction signals and obtain uterine contraction parameters.
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