150 results about "Motherisk" patented technology

A hybrid time domain multiplexing (TDM) and frequency domain multiplexing (FDM) configuration protocol for a doppler-based ultrasound fetal monitoring system (FMS) is provided. In an example, a FMS determines context information regarding an operating context of the FMS, the context information comprising a number of fetal sensor devices (FSDs) activated for monitoring a corresponding number of fetuses of a single mother, wherein the FSDs respectively comprise ultrasound transducers configured to measure fetal parameters of a single fetus, and wherein each of the FSDs are configurable to operate using either the FDM mode or the TDM mode. The FMS further configures respective operating modes (i.e., FDM mode or TDM mode) of the FSDs based on the context information and in accordance with a configuration protocol that varies the respective operating modes (i.e., FDM mode or TDM mode) of the FSDs under different operating contexts of the FMS.

The invention relates to the technical field of intelligent health monitoring, in particular to a medical health information management method and system for a patient user. A medical health information management method for a patient user comprises the following steps: S1, obtaining first postoperative body data of a mother and an infant, and obtaining a first risk score value of the mother by using a first health risk scoring formula according to the first postoperative body data; s2, obtaining second postoperative body data of the mother and the infant, and obtaining a second risk score value of the infant by using a second health risk scoring formula according to the second postoperative body data; and S3, according to the first risk score value or the second risk score value, adjusting the reexamination frequency of the mother and the infant. Through the first health risk scoring formula and the second health risk scoring formula, the health data of the mothers and the infants are quantitatively evaluated, and potential health risks are found in time.

The invention provides a breast milk feeding amount intelligent calculation and dynamic adjustment method and system, and relates to the technical field of intelligent feeding, and the method comprises the steps: collecting real-time physiological parameters of an infant, constructing an infant digital model through a multi-scale morphological neural network, calculating a basic energy consumption value through combining with a biological rhythm prediction model, and calculating the feeding amount of the infant. The standard breast milk feeding amount is calculated through the self-adaptive fuzzy neural network; the method comprises the following steps: collecting mother physiological state data and breast milk component data, calculating a breast milk nutrition density coefficient by using a deep mixing cognitive network and an immune evolution self-organizing network, correcting a breast milk reference feeding amount, and finally calculating an actual breast milk feeding amount through a self-adaptive resonance theory network; growth and development data of an infant after breast milk intake are collected, a multi-layer spiral pulse neural network is used for extracting development feature vectors, a development deviation value is calculated based on a fractal dynamics model, network parameters are dynamically adjusted through a biological group intelligent optimization system, and dynamic optimization of breast milk feeding amount is achieved.

The invention relates to the technical field of biology, and discloses a fetus genotype detection method based on haplotype. The method comprises the following steps: 1) performing cfDNA sequencing on a to-be-tested pregnant woman plasma sample with known haplotype parting of a mother and a father to obtain a sequencing read section; 2) comparing the sequencing read segment to a reference genome, and estimating depth distribution and mutation of the sample according to a comparison result; 3) for four types of allele sites, the concentration of the fetal sample is calculated according to the secondary allele frequency, and the four types of allele sites comprise mother homozygous fetal homozygous, mother homozygous fetal heterozygous, mother heterozygous fetal homozygous and mother heterozygous fetal heterozygous; and 4) for genotype combinations AAAB, ABAA and ABAB of the mother and the father, deducing fetal SNP and InDel genotypes. The method disclosed by the invention can be used for detecting the single-point variation in the whole genome range, so that the accuracy is improved, and the sequencing depth is effectively reduced.

A multi-sensor patch for simultaneous abdominal monitoring of maternal and fetal physiological data includes a multi-layer flexible substrate with a center region and a plurality of electrode regions. A conductive layer of the flexile substrate provides an electrical connection between each of the plurality of electrode regions and the center region. A plurality of electrodes are formed into the flexible substrate. At least one mechanical motion sensor is connected to the multi-layer flexible substrate. A module unit is connected to the conductive layer at the center region. The module unit includes a controller configured to receive biopotential physiological data from the plurality of electrodes and mechanical sensor data from the at least one auxiliary sensor. The controller calculates at least fetal heart rate, maternal heart rate, and uterine activity from the biopotential physiological data and from the mechanical sensor data.

The invention discloses a premature infant mother psychological intervention effect assessment method and system, and relates to the technical field of psychological assessment. A premature infant mother psychological intervention effect evaluation system comprises a data arrangement module and an effect evaluation module. By analyzing the behavior analysis data set and the face analysis data set of the evaluated mother at the same time, the psychological state of the mother can be comprehensively evaluated from multiple angles; the behavior analysis model and the face analysis model respectively provide independent evaluation of behavior performance and emotional response, so that the evaluation result is more comprehensive and accurate, and the emotional fluctuation and psychological change of the mother and the response to the premature infant can be effectively identified; through multi-level and multi-dimensional behavior analysis, the mood, psychological stress and behavior mode of the mother are deeply recognized, the behavior mode of the mother is considered, the internal mechanism of the mood can be deeply discussed, and therefore powerful data support is provided for psychological intervention.

The invention relates to the field of maternal and infant products, and provides a recommended breast pumping method of a breast pump and related equipment, the method comprises the following steps: obtaining a plurality of historical breast pumping data, the breast pumping data at least comprising breast pumping parameter data of a plurality of historical breast pumping periods or breast pumping parameter data in a plurality of preset breast pumping periods; at least one piece of recommended milk sucking data is generated according to the milk sucking parameter data of the multiple historical milk sucking periods or the milk sucking parameter data in the multiple preset milk sucking periods, and each piece of recommended milk sucking data corresponds to one callable milk sucking period or milk sucking parameter in the milk sucking period. According to the method, the recommended breast pumping data are generated through the historical breast pumping data, each piece of recommended breast pumping data corresponds to one callable breast pumping period or the breast pumping parameter in the breast pumping period, so that the breast pump is controlled to work through the breast pumping parameters, and the most suitable breast pumping mode is provided for each mother.

The invention discloses a self-adaptive noninvasive fetal electrocardiosignal extraction method based on a logarithmic hyperbolic secant function. The method comprises the following steps: constructing a mother abdomen electrocardiosignal model; based on a self-adaptive filtering framework, inputting a chest electrocardiosignal MECG of the mother as a reference signal and an abdomen signal AECG as an expected signal, and calculating filtering output; defining a target function and updating a weight coefficient; the extracted fetal electrocardiosignals are output through Monte Carlo experiment optimization parameter combination; the invention further lays a foundation for long-term real-time monitoring of puerperae and fetuses through portable equipment.

A monitoring equipment, a monitoring system and a monitoring method. The monitoring equipment includes a measurement unit that acquires monitoring parameters and a control unit connected with the measurement unit to determine current stage-of-labor progress based on types of acquired monitoring parameters, to thereby determine a monitoring object that includes a mother and a fetus and / or a newborn. A display unit is connected with the control unit to display corresponding monitoring parameters in areas corresponding to each monitoring object on a monitoring interface. The monitoring interface includes one or a plurality of a mother monitoring area, a fetus monitoring area and a newborn monitoring area. The measurement unit is provided in the monitoring equipment. The control unit determines the current stage-of-labor progress to determine a monitoring object. Monitoring parameters of each monitoring object are simultaneously displayed on the monitoring interface of the display unit, thereby improving the monitoring efficiency.

A method of treating a mother intrapartum. The method includes obtaining fetal heart rate (FHR) and uterine activity data, including contraction data, from a pregnant mother intrapartum. Contraction data for a plurality of time periods is determined. The FHR data and contraction data is analyzed, within each of the plurality of time periods, to determine occurrence of a marker selected from the markers consisting of Fetal Evaluation, Fetal Intervention, Fetal Operation, and Fetal Morbidity. A recommended intervention is provided based on the occurrence of the marker. The recommendation may be, for example, shown on a display.

The present invention is, even outside of a hospital, capable of inexpensively and conveniently identifying the state of a mother or a fetus. A pregnancy state estimation device according to the present invention comprises: an information acquisition unit that acquires an electrical activity record which has been derived from a mother and percutaneously measured; an inference unit that infers the pregnancy state of the mother by inputting the electrical activity record into a trained model which sets, as an input, the electrical activity record and sets, as an output, a pregnancy state including information related to at least one of the uterine contractions of the mother and the fetal heart rate in the mother; and an output unit that outputs the pregnancy state generated by the inference unit.

The invention relates to the technical field of intelligent health monitoring, in particular to a medical health information management method and system for a patient user. A medical health information management method for a patient user comprises the following steps: S1, obtaining first postoperative body data of a mother and an infant, and obtaining a first risk score value of the mother by using a first health risk scoring formula according to the first postoperative body data; s2, obtaining second postoperative body data of the mother and the infant, and obtaining a second risk score value of the infant by using a second health risk scoring formula according to the second postoperative body data; and S3, according to the first risk score value or the second risk score value, adjusting the reexamination frequency of the mother and the infant. Through the first health risk scoring formula and the second health risk scoring formula, the health data of the mothers and the infants are quantitatively evaluated, and potential health risks are found in time.

To efficiently provide support for working mothers and ensure points of contact in emergencies.SOLUTION: A system comprises means for operating as a point of contact in emergencies as part of the system.SELECTED DRAWING: Figure 1

Methods, systems, and apparatus are provided for determining whether a nucleic acid sequence imbalance exists within a biological sample. One or more cutoff values for determining an imbalance of, for example, the ratio of the two sequences (or sets of sequences) are chosen. The cutoff value may be determined based at least in part on the percentage of fetal DNA in a sample, such as maternal plasma, containing a background of maternal nucleic acid sequences. The percentage of fetal DNA can be calculated from the same or different data used to determine the cutoff value, and can use a locus where the mother is homozygous and the fetus is heterozygous. The cutoff value may be determined using many different types of methods, such as sequential probability ratio testing (SPRT).

The invention discloses a method for establishing a mutual-aid human milk library in a hospital for infants with extremely low birth weight. The method comprises the following steps of: recruiting and screening donators with relatively high breast milk yield in the hospital; performing breast milk sterile collection on the selected qualified donors; putting the collected breast milk into a human milk library for centralized storage and management; taking the collected breast milk so as to supply breast milk to the infant lacking breast milk in the hospital; and when the breast milk supply amount of the infant parent and mother is greater than the feeding amount of the doctor's advice, recruiting and screening the infant parent and mother so as to enable the infant parent and mother to become a qualified donator. The beneficial effects are that the in-hospital mutual-aid human milk library of the extremely-low birth weight infants is established according to the method, the residual breast milk of the mother of the extremely-low birth weight infant after being discharged from the hospital can be donated to other extremely-low birth weight infants, the use of the donated milk of the premature infants with similar fetal age and lactation period is more beneficial to the growth and development of the extremely-low birth weight infants, and the operation cost can be reduced at the same time; the stable donation amount is of great significance to the healthy development of children with extremely low birth weight and the long-term stable operation of a human milk library.

A fetal monitoring system including at least two electrodes, a user interface device with at least one input sensor, and a processor is provided. The electrode(s) are arranged on a user and capture two or more electrode signals. The input sensor(s) capture an input sensor signal. The processor (1) generates fetal movement detection data based on the input sensor signal; (2) generates eCTG data based on the electrode signals; and (3) generates a fetal monitoring dashboard displaying the fetal movement detection data and the eCTG data in a time-aligned manner. The eCTG data may include fetal heart rate data and / or uterine activity data. The fetal movement detection data may be generated further based on an input reference signal unique to the user. The fetal movement detection data may be further based on a differential signal generated corresponding to a maternal electrocardiogram signal.

The present invention relates to the field of biotechnology and relates to a hydatidiform mole genetic typing detection system, kit, and application. The composite amplification system includes 20 pairs of primers capable of simultaneously amplifying 20 genomic loci, and the primer sequences for each of the 20 loci are disclosed. The kit incorporates a UDG enzyme anti-contamination system to digest any amplification products containing uracil prior to PCR amplification, thereby preventing product contamination. These loci possess high individual recognition power and high polymorphic information content, enabling effective and accurate detection of STR polymorphisms, detection of maternal and fetal loci typing, and, through comparison, determination of fetal hydatidiform mole status.

The invention discloses a breast pump. The breast pump comprises at least one detection module, a processing module, a breast pumping shield, a breast pumping channel part and a negative pressure mechanism, the breast suction shield comprises a flange used for being attached to a human breast body. The breast sucking channel part is in sealed connection with the breast sucking shield and is used for accommodating a nipple and allowing milk to flow; the negative pressure mechanism is used for directly or indirectly applying negative pressure into the breast pumping channel part; the detection module is used for detecting brightness change caused by movement of a target object in the breast pumping shield or the breast pumping channel part and generating detection data, and the processing module is used for determining breast pumping related parameters according to the detection data. The detection module generates the detection data by detecting the brightness change caused by the movement of the target object, and the generated detection data is less influenced by the individual difference of the mother, so that the measurement interference caused by the difference of different individuals can be effectively avoided, and the finally determined breast pumping related parameters can be more accurate.

The present disclosure relates to an apparatus and a method for managing depression in a perinatal period. The apparatus comprises: a memory that stores at least one instruction for managing depression in a perinatal period; and a processor that performs an operation according to the instruction, wherein the processor analyzes, through a cognitive therapy model, questionnaire information and speech information collected from a terminal of a mother, so as to identify negative thought patterns and emotions of the mother, and evaluates the mental health level of the mother according to the identified negative thought patterns and emotions, the cognitive therapy model learns a trigger keyword related to depression of the mother, and, when a word showing similarity greater than or equal to a preset level with the learned trigger keyword is detected from the questionnaire information or the speech information, the mental health level of the mother can be evaluated according to the analysis result of the detected keyword.

The Arm-worn Collapsible Nursing Cover and Blanket is disclosed. The claimed invention is an innovative nursing cover that features a flexible pop-up wire frame that is covered in soft fabric that expands and forms a flexible oval shape that easily collapses into a compact circle for storage. The structured form has arm holes on either side and can be worn on the arm or wrist which offer various configurations and functions for use and create an open barrier that provides complete coverage with an unobstructed view of the baby for the mother. It is designed to enhance the breastfeeding experience by providing full coverage with a full view of their infant while nursing. Additionally, the claimed invention has an affixed magnet that can secure an optional blanket that attaches magnetically to the cover. Overall, the claimed invention allows mothers to maintain eye contact with their babies and creates systems and methods for mothers to hold their babies close and snug to foster the close bond that occurs during nursing.

The invention discloses a double-fetal monitoring method based on abdominal electric signal state dynamic conversion analysis, which comprises the following steps of: acquiring abdominal electric signal data of a double-fetal pregnant woman containing all age groups and physical conditions in a clinical environment, and constructing a double-fetal monitoring reference data set through preprocessing and signal separation; and designing an abdominal electric signal state dynamic conversion analysis algorithm suitable for double-fetal monitoring. And constructing a state dynamic conversion template of the source signal in state dynamic conversion analysis, and generating a double-tire position marking data set. And obtaining state labeling time sequence data of state dynamic conversion based on the state dynamic conversion template, constructing a double-fetal electrocardiosignal extraction scheme, and calculating the fetal heart rate. And visualizing a state dynamic conversion time sequence chart and marking real-time fetal heart rate and mother heart rate to realize dynamic monitoring of the state of the double fetuses. According to the invention, the limitation that the fetal heart signals are confused and the independent electrocardiosignals of the two fetuses are difficult to accurately extract during the existing monitoring of the two fetuses is solved, and the real-time performance and the reliability of the clinical monitoring of the two fetuses are improved.

Embodiments of the methods of the disclosure and compositions related to managing the microbiota in an individual having at least one social behavior deficit. In particular embodiments, an individual has at least one social behavior deficit and was born to a mother who was obese, overweight, or consumed a high-fat diet during pregnancy or carries mutations associated with neurodevelopmental behaviors. In particular embodiments, an effective amount of Lactobacillus reuteri is provided to the individual having at least one social behavior deficit to improve at least one symptom of a social behavior deficit.

The utility model provides a fetus-voice meter which comprises a fetus-voice meter body, a first metal electrode, a second metal electrode and a finger touch metal electrode assembly, and the first metal electrode and the second metal electrode are respectively installed on a human body contact face of an ultrasonic probe of the fetus-voice meter body. The finger touch metal electrode assembly is installed on the side face of the fetus-voice meter body and comprises a first finger electrode clamping piece, a second finger electrode clamping piece, a first shell, a second shell and a torsional spring. The device has the advantages that the heart rate of a mother can be detected through the first metal electrode, the second metal electrode and the finger touch metal electrode assembly, the fetal heart and the heart rate of the mother can be detected at the same time, fingers are clamped by touching the metal electrode assembly through the fingers, it can be guaranteed that touch of the fingers is reliable during detection, and the detection accuracy is improved. And the problem of inaccurate detection caused by unreliable finger touch is solved.

An aberration in a fetal genome can be identified by analyzing a sample of fetal and maternal DNA. Classifications of whether an aberration (amplification or deletion) exists in a subchromosomal region are determined using count-based and size-based methods. The count classification and the size classification can be used in combination to determine whether only the fetus or only the mother, or both, have the aberration in the subchromosomal region, thereby avoiding false positives when the mother has the aberration and the fetus does not.

A system may include a first device configured to sense a first patient data, a second device configured to sense a second patient data, and a computing device configured to control algorithms implementing the acquisition of the first patient data or the second patient data to generate a report including an indication of the one or more predicted outcomes such as a high-risk pregnancy enabling a physician to make a decision to treat the mother and the fetus of the mother in fetal distress by an appropriate intervention.

A method for determining pattern of inheritance in an embryo for a region of interest is provided, comprising receiving embryo, maternal and paternal sequence data; aligning the received sequence data to a reference genome; identifying a region of interest in the aligned embryo sequence data; identifying single nucleotide polymorphisms (SNPs) in the maternal sequence data, paternal sequence data, and the identified region of interest in the embryo sequence data; imputing missing gaps in the maternal sequence data and the paternal sequence data using an imputation reference; counting the number of SNPs that are common between the embryo and the mother / father in the identified region of interest for the embryo sequence data and a corresponding region on the maternal / paternal sequence data to determine a maternal / paternal contribution value; and classifying a pattern of inheritance for the embryo as maternal or paternal based on the relative contribution values between mother and father.

According to one aspect of the present invention, provided is a method for estimating the health state of an entity, the method comprising the steps of: acquiring information about the breastfeeding of at least one of a mother and an offspring; and estimating the health status of at least one of the mother and the offspring with reference to the information about the breastfeeding.

The invention provides a mother fetal monitor, and relates to the technical field of medical monitoring, the mother fetal monitor comprises an instrument body and a display connected with the instrument body; the wireless probe and / or the wired probe are respectively connected with the instrument body; the wired probe interface and the monitoring interface are arranged on the instrument body, the wired probe interface is matched with the wired probe, and the monitoring interface is used for being connected with a pregnant woman monitoring probe; the probe fixing seats are installed on the instrument body, and the probe fixing seats are used for embedding the wireless probes and fixing the wireless probes through pressing structures and clamping structures. According to the invention, the stability of the fetus sign monitoring probe in the monitoring process and the accuracy of data transmission can be ensured, and maternal and fetal monitoring under a multi-fetal condition is realized.

Provided herein are methods for determining the ploidy state of one or more chromosome in a developing fetus. The subject methods provide for increase accuracy by utilizing information about the mosaicism level of one or more chromosomes of interest in the mother of fetus. The mosaicism level of one or more chromosomes of interest is determine for the maternal tissue that is used as the source of nucleic acid for genetic analysis that are used to determine the ploidy state of the fetal chromosome or chromosomes of interest. For example, if 5% white blood cells of mother are missing a copy of the X chromosome, this information can be used when determining fetal ploidy level, rather than operating under the assumption that the maternal X chromosome are present in two copies. Utilization of the mosaicism data can be used to increase the reliability and accuracy of the determination of the ploidy state of a chromosome of interest.