50 results about "Fetal electrocardiogram" patented technology

A system for monitoring a fetus during gestation comprises an input for receiving a plurality of electric signals measured on a surface of a maternal body; and means for providing a fetal electrocardiogram based on the received electric signals and based on an orientation of the fetus, wherein the fetal electrocardiogram represents a projection of a fetal cardiac potential vector according to a predetermined projection direction that is fixed with respect to the fetus. The fetal vector electrocardiogram is projected according to the projection direction. An at least partial representation of a fetal vector electrocardiogram is provided in dependence on the plurality of electric signals and indicative of a time path of an electrical field vector generated by a fetal heart of the fetus.

Apparatus for monitoring a fetal heart-beat is able to extract one or more fetal electrocardiograms (fECGs) from a composite signal detected at the abdomen of a pregnant woman. The apparatus includes specific low-noise components: a plurality of low-noise electrodes (1-3, R) for placement on the abdomen during pregnancy and a low-noise signal recording and processing means (34). Screened leads are also used, as required. Signals indicative of voltages developed between each abdominal electrode (1-3) and a reference electrode (R) are recorded in a plurality of signal channels. Data within each channel is digitised and processed in order to generate a plurality of separated source signals, at least one of which relates to the fECG of a single fetus. Single-channel fECGs may be reconstructed using the source signals identified as belonging to the same fetus.

A method for extracting fetal electrocardiograms (FECG) by separation comprises the following major steps: 1, separating maternal electrocardiogram component from mixed maternal-fetal electrocardiogram signals to acquire the preliminary estimation of fetal electrocardiogram signals, herein referred to as the primary separating extraction; and 2, further separating disturbance and noise from the preliminary estimation of the fetal electrocardiogram signals acquired from the primary separating extraction to acquire the final estimation of the fetal electrocardiogram signals, herein referred to as the secondary separating extraction. The invention relates to a method for the primary separating extraction of FECG and a method for the secondary separating extraction of FECG respectively. The two methods comprise basically the same steps as follows: signal pre-processing; R-wave crest detection; re-sampling; time-domain averaging; recovery re-sampling and the like. Both the methods are methods of extraction by separating one-channel signals. The separating extractability of the two methods is higher than that of other existing methods of extraction by separating one-channel signals.

The present invention relates to large area electrodes suitable for use in a fetal heart rate monitoring systems. The electrode comprises: a cutaneous gel contact (10) for sensing fetal electrocardiogram signals from a human pregnant subject; an electrical conductor (12) electrically connected to the gel contact (10) so as to define a first electrical contact region; a connector (14) in electrical contact with the electrical conductor (12) for connection to a lead wire; and a substructure (16) for attachment to a human pregnant subject. The gel contact (10) and the electrical conductor (12) are arranged on the substructure (16) to allow a contact surface (11 ) of the gel contact (10) to be in electrical communication with the skin of a human pregnant subject to define a second electrical contact region. The second electrical contact region has an area greater than 370 square millimetres. When arranged on a predefined electrode topology on the abdomen the success rate of fetal heart rate detection is significantly improved. The topology may be incorporated into a flat flexible cable which provides a comfortable and reproducible electrode arrangement allowing an untrained person to apply electrodes to a pregnant mother's abdomen.

The invention discloses a fetal electrocardiogram instantaneous heart rate recognition method and system based on non-negative blind separation. The method comprises the following steps that electrocardiosignals obtained through being collected by a fetal electrocardiogram machine are preprocessed, after the wavelet denoising, a coherent averaging method is used for removing electrocardiogram components of a mother to obtain the fetal electrocardiosignals, the fetal electrocardiosignals are converted to the time-frequency domain to obtain a Choi-Williams spectrum and a Born-Jordan spectrum, and then, the spectrums are converted into a non-negative frequency spectrum; non-negative matrix factorization is used for blind separation to obtain non-negative time frequency components of the fetal electrocardiosignals; the instantaneous heart rate is calculated, the non-negative time frequency components of the obtained fetal electrocardiosignals are subjected to maximum value detection, and a threshold value is set; an interval traversing method is adopted for obtaining the maximum value of signal intervals, and all peak value points of a electrocardiogram curve are obtained; all peak value coordinates of the obtained electrocardiogram curve are converted, the forward difference is sequentially carried out, and the instantaneous heart rate of the fetus is obtained through an instantaneous heart rate formula. The method and the system provided by the invention have the advantages that the recognition is fast and simple, and the accuracy is high.

The invention provides a fetal electrocardiogram signal detecting system. A first electrode set is arranged on a maternal shoulder part; a second electrode set is arranged on a maternal belly part, and is used for collecting a maternal belly signal; a signal acquisition module is used for acquiring the maternal belly signal and sending the maternal belly signal to an AD (Analog to Digital) conversion module; the AD conversion module is used for carrying out AD conversion on the maternal belly signal and generating the maternal belly signal in a digital signal manner; a control module is used for preprocessing and filtering the maternal belly signal and sending the maternal belly signal to a communication module; the communication module is used for forwarding the maternal belly signal to an upper computer; and the upper computer adopts a flank bipolar montage system for analyzing the maternal belly signal, and utilizes a component analysis method for separating a preliminary fetal electrocardiogram signal from the maternal belly signal. According to the fetal electrocardiogram signal detecting system provided by the invention, the weak fetal electrocardiogram signal can be extracted from a body surface, and the diagnosis of corresponding diseases is made according to relevant parameters of a fetal electrocardiogram.

This invention provides a novel technique separating two mixed signals. The method is particularly useful for fetal electrocardiogram estimation. A maternal electrocardiogram signal recorded at the thorax area is nonlinearly mapped onto an electrocardiogram signal recorded at the abdomen using polynomial networks. The fetal electrocardiogram component is then estimated by subtracting the nonlinearly mapped maternal electrocardiogram signal from the abdominal electrocardiogram signal.

The invention discloses a fetal electrocardiogram blind separation method based on a low signal-to-noise ratio. The method includes the steps that firstly, comb filtering is performed on multiple paths of source signals to eliminate 50 Hz power frequency interference, higher harmonic interference of 50 Hz and baseline drifts, and anti-aliasing low-pass filtering is performed on the multiple paths of source signals to remove high-frequency signal components with the frequency larger than half of sampling frequency; then, wavelet transformation is performed on the filtered source signals to obtain high frequency coefficients and low frequency coefficients of various dimensions, peak value function processing is performed on the high frequency coefficients of various dimensions to obtain high frequency coefficients containing electrocardiogram information of an expectant mother, and wavelet reconstruction is utilized for obtaining electrocardiogram signals of the expectant mother; then, the reconstructed expectant mother electrocardiogram signals containing noise are subtracted from the filtered source signals to obtain fetal electrocardiogram signals containing noise; finally, a blind separation algorithm is utilized for performing blind separation, and the multiple paths of fetal electrocardiogram signals containing noise are processed to obtain multiple paths of signals generated after blind separation. The method has great significance in monitoring perinatal fetuses, the fetal electrocardiogram extraction method is simple, calculation is fast, and accuracy is high.

The invention discloses a fetal electrocardiogram signal extracting method based on wavelet threshold denoising. The method comprises the following steps of: carrying out stationary wavelet transform processing on a maternal abdomen signal, and decomposing to obtain each layer of wavelet coefficient; independently processing each layer of wavelet detail coefficient, removing fetal electrocardiogram wavelet coefficients, reconstructing remained maternal electrocardiogram wavelet coefficients, and obtaining maternal electrocardiogram in the abdomen signal; removing the reconstructed maternal electrocardiogram from the abdomen signal to obtain a fetal electrocardiogram signal; and denoising the extracted fetal electrocardiogram by utilizing a wavelet correlation denoising algorithm to obtain a clear fetal electrocardiogram signal. Due to the method, the accurate extraction of the fetal electrocardiogram signal can be realized. The method is based on a single channel, the computation of wavelet transform modulus maxima is avoided, and better instantaneity is realized.

The invention relates to a non-invasive fetal electrocardiogram detection device and an electrocardiogram signal data processing method. The device comprises an electrocardiogram acquisition front-enddevice and an electrocardiogram signal analysis processing software system. It includes ECG collector, analog-to-digital conversion module, wireless communication module and core processor module. The signal obtained by the ECG acquisition front end is transmitted to the core processing module through the wireless communication module, The ECG signal quality evaluation, pretreatment, maternal ECGsignal analysis and fetal ECG signal analysis are completed, and the heart rate information of mother and fetus is obtained. Combined with waveform morphology analysis, the maternal health status andfetal intrauterine status are evaluated. The device can realize the long-term, dynamic and real-time analysis and processing of fetal signals, which is of great significance to the monitoring of maternal and fetal health during pregnancy and parturition.

The invention provides a pregnancy and birth real-time monitoring device and a pregnancy and birth real-time monitoring method. The pregnancy and birth real-time monitoring device comprises a fetus information acquisition unit, a three-axis acceleration sensor attached to the back and waist of a mother body, a signal processing unit and a control unit, wherein the fetal information acquisition unit comprises an electrocardio reference electrode attached to the back and waist of the mother body and an electrocardio electrode array attached to the abdomen of the mother body; and / or the fetal information acquisition unit comprises a sound sensor which is attached to the central position of the abdomen of the mother body and is used for acquiring fetal heart sound signals; the output ends of fetal electrocardiogram electrodes, the sound sensor and the three-axis acceleration sensor are connected to the signal processing unit, and the output end of the signal processing unit is connected with the control unit. The pregnancy and birth real-time monitoring device adopts multiple types of sensors to monitor the fetus in real time, can objectively and accurately monitor the fetal movement intensity, the fetal movement frequency, the fetal movement type, the fetal heartbeat intensity and the like, and can harmlessly monitor the fetal movement intensity, the fetal movement frequency, thefetal movement type, the fetal heartbeat intensity and the like for a long time in real time at home or in hospitals.

This invention provides a novel technique separating two mixed signals. The method is particularly useful for fetal electrocardiogram estimation. A maternal electrocardiogram signal recorded at the thorax area is nonlinearly mapped onto an electrocardiogram signal recorded at the abdomen using polynomial networks. The fetal electrocardiogram component is then estimated by subtracting the nonlinearly mapped maternal electrocardiogram signal from the abdominal electrocardiogram signal.

The invention provides a fetal electrocardiogram circuit system. A double analog front-end chip AD8232 by ADI (Analog Devices, Inc.) is used to acquire a chest electrocardiogram signal and an abdominal electrocardiogram signals of a pregnant woman, and the acquired signals are filtered via low-path, high-pass and power-frequency trap circuits so as to filter disturbances of off-frequency signals among the electrocardiogram signals; the two signals are subjected to analog-digital conversion to form digital signals via an ultralow-power-consumption processor MSP430f5342, and baseline drift is removed from the two signals via median filter algorithm; the two signals are communicated via an SPI (serial peripheral interface) and stored by AT45DB081D, or are transmitted to a Bluetooth module via an UART (Universal Asynchronous Receiver / Transmitter) interface and then wirelessly transmitted to a cellphone APP or a computer, fetal electrocardiogram signals are extracted via adaptive filter algorithm or template matching method, waveform and heart rate are displayed, and a warning is provided for abnormal fetal electrocardiogram. The fetal electrocardiogram circuit system has the functions of flash notifications by a charge red indicator light and a lead drop green indicator light, low power consumption configuration of the module AD8232, and low power consumption configuration of the Bluetooth module; the fetal electrocardiogram circuit system has the advantages of portability, small size, good convenience of measurement and the like.

The invention relates to a fetal electrocardiogram detection method based on constraint blind source separation. Firstly, observation signals X are whitened by means of eigenvalue decomposition; multiple paths of reference signals R are obtained, separation vectors wi and Lagrange parameters are adjusted by using a generalized Lagrange function and a Newton learning algorithm, and accordingly a cost function is less enough, wherein solved Ws are separation matrixes; fetal electrocardiogram information and maternal electrocardiogram information are separated according to the equation that Y=WX, wherein X stands for the observation signals, and Y stands for fetal electrocardiogram information and maternal electrocardiogram information matrixes expected to be extracted. According to the fetal electrocardiogram detection method based on constraint blind source separation, when a secondary moment is utilized, reference signals are introduced, the convergence rate is increased, and accuracy and rapidity of information extraction are improved.

Some embodiments are directed to a device for processing a fetal electrocardiogram (fECG). The processing may include obtaining a fetal vector cardiogram (VCG) from said multiple ECG signals, and providing the fetal vector cardiogram as an input to the machine learning classifier configured with trained parameters, and obtain a classification from the machine learning classifier.

A system for the assessment and monitoring of the fetal electrocardiogram (ECG) and heart rate in a pregnant mother comprises wearable mechanical-electronic sensors, e.g., embedded in a wrist or arm band, which can measure the mechanical pulse signals from the mother, and an abdomen patch which can measure the combined ECG signals of the fetus and mother. The wrist or arm unit and the abdominal patch unit communicate wirelessly. By signal processing and gating out the maternal ECG signals as correlated with the mechanical maternal pulse signals, the fetal ECG and heart rate can be measured and monitored. These measurements may be displayed on the wrist or arm band device, or wirelessly through a remote device, mobile phone or computer. Electronic-mechanical sensors can also be embedded in the abdominal patch to measure uterine electromyogram (EMG), uterine contractions and fetal movements, to be correlated with the fetal ECG.

The invention discloses a fetal electrocardiogram orthorhombic lead system, which comprises a chest lead electrode V1, three abdomen lead electrodes P1, P2 and P3, a public common terminal electrode COM and a grounding electrode GND, wherein the abdomen lead electrodes P1, P2 and P3 are arranged at an uterine orifice; the common public terminal electrode COM is arranged at the bottom of a uterus; and the grounding electrode GND is arranged a lowermost rib below a right armpit middle line. Due to the adoption of the orthorhombic lead system, clean fetal electrocardiosignals are obtained; and an orthorhombic lead plane is utilized, so that interference is reduced greatly, and the detectable rate of fetal electrocardiograms is increased.

The invention is suitable for the field of data processing and provides a physiological data processing method and a physiological data processing device. The physiological data processing method comprises the steps of carrying out feature analysis on fetal electrocardiogram data through collecting physiological data of a user to generate fetal electrocardiogram characteristic parameters; mapping the fetal electrocardiogram characteristic parameters into music characteristic parameters; obtaining initial music on the basis of the music characteristic parameters; analyzing electroencephalogram data of a pregnant woman to obtain emotion of the pregnant woman; and carrying out adaptive adjustment on the initial music according to emotion characteristic parameters, so that the interestingness of fetal heart data application is improved and the possibility and significance of long-term retention of fetal heart data are greatly improved.

A system and method for detect and analyzing fetal electrocardiogram is disclosed. The system comprises a multi-channel electric signal acquisition module, a control unit, a display module and a wireless transmission device. The multi-channel electric signal acquisition module collects abdominal electric signals of a person to be tested of a plurality of channels for AD conversion, converts the analog electric signals into digital signals, and sends the analog electric signals to the control unit. A control unit communicates with a display module and a wireless transmission device, is configured to process and analyze the AD-converted electrical signal. The control display module displays the detected abdominal electrocardiogram signal, the separated fetal electrocardiogram signal and themother electrocardiogram signal, communicates with the wireless transmission device, and uploads the collected data and the analysis result. The invention is simple to operate, adopts the passive measurement mode, and has no potential energy harm.

The invention relates to an underwear capable of monitoring a fetal electrocardiogram. The underwear comprises a fetal electrocardiogram collecting device and an intelligent handheld mobile terminal, wherein the fetal electrocardiogram collecting device is composed of a pregnant woman underwear, a signal circuit tape and a data collector; and the intelligent handheld mobile terminal is wirelessly connected with the fetal electrocardiogram collecting device. According to the invention, the automatic collection, treatment and display of the fetal electrocardiogram data can be realized, the accuracy and timeliness of the fetal electrocardiogram detection can be promoted, the mental stress of manual feel of a pregnant woman can be relieved, and the practical value is ultrahigh. Compared with similar fetal heart monitoring products, the product provided by the invention is a wearing type fetal electrocardiogram monitor and is more convenient than the prior art. No energy is inputted into the body of the pregnant woman in a data collection process. Compared with Doppler ultrasound detection, the underwear provided by the invention is safe and free from side effect, is capable of collecting data in real time, and is capable of realizing all-weather monitoring so as to greatly promote the safety of the pregnant woman and fetus.

The invention discloses a multi-lead joint detection intelligent fetal electrocardiogram detection method and system. The method includes the steps: a, acquiring a group of multi-channel maternal electrocardiogram signals J1, J2,...Jm, and acquiring another group of maternal and fetal multi-channel mixed electrocardiogram signals V1, V2,...Vn; b, determining the optimal maternal electrocardiogram signal Jk among the maternal electrocardiogram signals J1, J2,...Jn, and performing complex wave QRS (quantum resonance detection) for the optimal maternal electrocardiogram signal Jk to obtain complex wave QRS results; c, respectively extracting corresponding fetal electrocardiogram signals V'1, V'2,...V'n from the mixed electrocardiogram signals V1, V2,...Vn; d, determining the optimal fetal electrocardiogram signal V'L among the fetal electrocardiogram signals V'1, V'2,...V'n, and performing complex wave QRS for the V'L to obtain real-time fetal heart rate and complex wave QRS width indexes by calculation. Fetal electrocardiogram signal extraction stability, robustness and noise sensitivity can be effectively enhanced, and real-time correct detection success rate of the fetal electrocardiogram signals is increased.

The invention discloses medical conductive hyaluronic acid gel as well as a preparation method and application thereof. The medical conductive hyaluronic acid gel is prepared from the following raw materials of hyaluronic acid or salt thereof, a conductive medium, a surfactant, glycerol, xanthophyll, a phosphate buffer solution and water. The medical conductive hyaluronic acid gel is free of preservatives, good in biocompatibility, non-toxic, non-irritant and excellent in conductivity, overcomes the defects that the hyaluronic acid gel is easy to degrade in a short time and too high in degradation rate, reduces the degradation rate of the hyaluronic acid gel, and further has lubricating and moisturizing effects. The medical conductive hyaluronic acid gel has a good application prospect inhuman body electrophysiological signal acquisition, and can be used for acquisition of fetal electrocardiogram, myoelectricity and electroencephalogram signals.

The invention provides a multi-user fetal electrocardiogram monitoring system based on a wireless network. The multi-user fetal electrocardiogram monitoring system based on the wireless network comprises at least two wireless fetal electrocardiogram sensors, a care unit concentrator, a repeater and a main concentrator. The wireless fetal electrocardiogram sensors are small in size and low in power consumption, effectively improves flexibility and convenience for fetal electrocardiosignal acquisition and reduces interference of a power frequency system on a fetal electrocardiosignal; a fetal heart rate is transmitted through the wireless network, fetal electrocardiograms of a number of pregnant women can be monitored at the same time, the detects that wire transmission wiring is troublesome and the maintenance is difficult can be avoided, and a foundation is laid for centralized monitoring and diagnosis of patients in a hospital.

An apparatus for monitoring fetal positions and fetal movements is provided. The apparatus includes a plurality of sensors, a signal pre-processor, a signal post-processor, and a fetal position judging processor. The sensors are attached on the abdomen of a maternal body to provide at least three measuring leads. The signal pre-processor receives a plurality of sensing signals from the sensors, and the signal pre-processor reduces noises in the sensing signals and amplifies the sensing signals to output a plurality of characteristic sensing signals. The signal post-processor receives the characteristic sensing signals from the signal pre-processor and separates out a plurality of fetal electrocardiograms (FECGs) corresponding to the leads. The fetal position judging processor analyzes the FECGs to obtain a characteristic waveform for each of the FECGs or directly calculates a fetal heart axis vector with respect to a front-side coordinate of the maternal body according to the FECGs.

The invention belongs to the technical field of signal processing, and discloses a fetal electrocardiogram extraction method and device fusing wavelet and fastICA, for solving the technical problem that the degree of overlapping for the electrocardiogram of a mother and the fetal electrocardiogram is too high so as to cause low fetal electrocardiogram separation accuracy and be interfered by the electrocardiogram of the mother. The fetal electrocardiogram extraction method fusing wavelet and fastICA firstly performs whitening and mean-value-removing on mixed abdominal signals, and then determines the wavelet packet decomposition point by means of the peak maximum, thus reducing the degree of overlapping of the mixed signals; when degree of overlapping for the electrocardiogram of the mother and the fetal electrocardiogram is too high, the fetal electrocardiogram extraction method fusing wavelet and fastICA can effectively inhibit the interference from the electrocardiogram of the mother and the noise; and then the mixed electrocardiogram signals are separated by means of the fastICA based on negative entropy to obtain a fetal signal with noise, and finally using wavelet denoising to remove the noise and baseline drift in the signal. The fetal electrocardiogram extraction method fusing wavelet and fastICA is used for perinatal medicine, and the fetal electrocardiogram extractedby the fetal electrocardiogram extraction method fusing wavelet and fastICA is clearer than a fetal electrocardiogram based on kurtosis, and has better convergence.

The invention provides a method for detecting the maternal electrocardiogram R peak on single-channel pregnant woman's abdominal wall myoelectricity. The method comprises the steps that 1, one-channelpregnant woman's abdominal wall myoelectricity signal is read; 2, the maternal electrocardiogram R peak on the abdominal wall myoelectricity signal is initially detected or pre-detected; 3, accordingto an initial detection result, an adaptive Gaussian dictionary is constructed, and based on the constructed adaptive Gaussian dictionary, enhancement of the maternal electrocardiogram R peak is achieved through sparse representation; 4, the R peak is detected on a maternal electrocardiogram R peak enhancement signal, and the position of the R peak is output. The method is characterized in that the Gaussian dictionary obtained in the step 3 is composed of Gaussian atoms corresponding to maternal electrocardiogram components, Gaussian atoms corresponding to fetal electrocardiogram components,and Gaussian atoms corresponding to noise components, wherein the Gaussian atoms corresponding to the maternal electrocardiogram components only involves one scale, and the scale is obtained through optimization according to the conditions of the maternal electrocardiogram R peak obtained through initial detection of the abdominal wall myoelectricity signal.

A method of estimating fetal electrocardiogram (FECG) signals utilizes a plurality of ECG signals measured along the mother's abdomen. The method includes defining an MECG (ECG) dictionary of symbols and projecting the plurality of abdominal ECG signals onto the MECG dictionary to estimate MECG signals within each of the plurality of abdominal ECG signals. The estimated MECG signals are subtracted from the plurality of measured abdominal ECG signals to estimate FECG signals and the plurality of estimated FECG signals are combined to generate a representation of the FECG source signal.

The invention provides a fetal electrocardiogram monitoring system based on an Android smartphone so as to achieve home monitoring of the fetal electrocardiogram. The system is composed of a pregnantwoman abdomen three-lead electrocardiogram collector, a fetal electrocardiogram real-time algorithm and Android smartphone software. The circuit of the pregnant woman abdomen three-lead electrocardiogram collector is mainly composed of a low-power-consumption Bluetooth processor Cypress CY8C4247 and a three-lead analog front end ADS1293, and pregnant woman abdomen three-lead electrocardiogram signals are collected by the 24-bit ADS1293, transmitted to the processor CY8C4247 through SPI communication to be processed and then wirelessly sent to the Android smartphone through Bluetooth. The functions of the Android smartphone software include BLE service acquisition, communication connection, Service provision, broadcasting, thread establishment and drawing canvas design, heart rate calculation, electrocardiogram abnormity warning and the like. The fetal electrocardiogram detection algorithm is a fast ICA algorithm with optimized parameters.

The invention discloses a fetal electrocardiogram extraction system based on convolutional encoding-decoding neural network and a method thereof. The system comprises a data collection device, a maternal electrocardiograph component estimation device, and a fetal electrocardiograph component extraction device. The data collection device is for collecting a real abdominal electrical signal of a pregnant woman. The maternal electrocardiograph component estimation device is for using a convolutional encoding-decoding neural network to estimate a maternal electrocardiograph component in the abdominal electrical signal of the pregnant woman; in training, an analog abdominal electrical signal is input into a neural network and a maternal electrocardiograph component in the analog abdominal electrical signal serves as a network label; and in testing, the real abdominal electrical signal of the pregnant woman is input into the neural network and the estimated maternal electrocardiograph component in the abdominal electrical signal is output by the neural network. The fetal electrocardiograph component extraction device is for subtracting the obtained maternal electrocardiograph component from the collected abdominal electrical signal of the pregnant woman to extract a fetal electrocardiograph component from the collected abdominal electrical signal of the pregnant woman. The method comprises the steps of data pre-processing, estimation of the maternal electrocardiograph component and extraction of the fetal electrocardiograph component. Through the technical scheme, the efficiencyand accuracy of fetal electrocardiograph extraction can be effectively improved.