A system for monitoring foetal growth. The system may include a plurality of devices. Each device of the plurality of devices may be configured to determine measurements of a baby bump over a time period, and may be further configured to store the measurements. The system may also include a server configured to receive the measurements from each of the plurality of devices. The server may be configured to compare the measurements from different devices of the plurality of devices. The system may be further configured to send an alert upon detecting an abnormality based on the measurements from the different devices of the plurality of devices.

In the present invention, a system and associated method is provided for monitoring fetal vital parameters. The system includes a base unit, a monitoring hub including a digital signal processor/controller and operably connected to the base unit by a single channel digital signal protocol cable, e.g., a USB cable, and a number of fetal monitoring sensors operably connected to the monitoring hub. The controller processes the signals from the sensors into a single USB protocol which can be sent along a single cable to the base unit. The USB cable allows power to be supplied to the hub in order to charge a battery used to operate the hub and the sensors connected to the hub when disconnected from the base unit to allow the patient using the hub to move freely about the base unit, with all sensor signals from the hub being wirelessly transmitted to the base unit.

Systems and methods are described, and one method includes determining a fetal blood oxygenation level, including: activating at least one light source with at least two distinct wavelengths of light on an abdomen of a pregnant mammal to direct light into a maternal abdomen toward a fetus; receiving a set of mixed signals from a set of photodetectors positioned at different locations on the maternal abdomen from reflected light that traverses maternal tissue or maternal tissue and fetal tissue; determining the fetal blood oxygenation level by performing computations on a composite fetal signal produced from the mixed signals; and ensuring a skin temperature of the maternal abdomen does not rise to unsafe levels due to activating the at least one light source.

There is provided a system and methods for quantitatively assessing fetal well-being based on observing fetal movement activity in an audio/visual data feed. The system includes a method that detects and quantifies fetal movements in an audio/visual data feed by audio/visual-processing motion estimation techniques. The system also includes a method that captures metrics relating to fetal movements sensed by the mother or other independent party, whereby termed “maternal perception”. The system further includes a method that cross validates the fetal movement detected by the system with fetal movement sensed by “maternal perception”. The system further includes a method that generates output to summarize fetal movement activity over a recorded time period. This output may be reviewed by a third party to assist in determining if further intervention is needed.

A system for classifying structured medical data, with each item of structured medical data, the system comprising a processing module that parses items of structured medical data to retrieve values of respective fields of the one or more items of structured medical data, the one or more retrieved values representing a set of medical attributes; a classification module that selects a classifier based at least one of the attributes in the set and applies the classifier to the set of attributes to classify one or more items of structured medical data into a particular risk profile; a user interface that renders one or more controls for input data that confirms one or more of the risk factors of the risk profile; and a transmitter to transmit to a remote medical device, an alert that specifies confirmation of the one or more of the risk factors.

Measuring and monitoring the glucose and other blood elements through high accuracy non-invasive method. The proposed approach is based on TS Fuzzy model in order to modeling the proportion of each component in blood. This model determine the degree of absorption for each component and allows the measurement of glucose with more degree of accuracy.

The proposed method use Monte Carlo Simulation in order to measuring the path-length of photon in different tissues. We develop a modified Monte Carlo Algorithm based on TS Fuzzy model. Then, we can determine several concentration of elements in blood by using this method. On the other hand, we propose a novel laser diode in order to measuring concentrations of different blood components. The proposed diode give a de-multiplexing of enter light to several wavelengths needed for determination of element concentration in blood by using Bear Lambert Law. Two methods are proposed or this end, Silicon On Isolator method and Photonic Crystal method. We develop Multiplexer/De-Multiplexer based on one of these method in order to decompose the incident light to wavelength needed by system. Third part, concern the modification of regression approach by using TS Fuzzy model in order to give more accuracy in measurement of glucose level in blood. The regression methods studies are linear regression and ordinary least square regression.

A sensor interface system for providing a connection between at least one sensor and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the sensor(s) into uterine activity data signals for use by the maternal-fetal monitor. The sensor interface system of the invention preferably includes a conversion means for converting the signals from the sensor(s) into signals similar to those produced by a tocodynamometer.

The present invention relates to fetal monitoring and, more particularly, to an electronic external fetal monitoring system that includes a self adhering single use dermal patch including embedded sensors that can be attached to the skin of an expectant maternal patient and is configured to record fetal heart rate, uterine activity, and uterine integrity.

A system for non-invasively acquiring maternal and/or fetal biopotential signals includes a wearable device configured to be worn by a pregnant patient comprising a plurality of electrodes configured to detect maternal and/or fetal biopotential signals associated with the patient and her fetus. The system further includes a computing device configured to receive the maternal and/or fetal biopotential signals from each of a plurality of electrode pairs and select, based on processing the maternal and/or fetal biopotential signals, one of the plurality of electrodes to use as a reference electrode during a monitoring session for the patient.

A system and apparatus for implementing a user interface for displaying uterine contraction information is provided. The graphical user interface displays first information conveying a rate of uterine contractions, the first information being derived at least in part on the basis of at least a portion of a contraction signal. The graphical user interface also displays, concurrently with the first information, second information conveying a threshold rate of uterine contractions. In specific examples of implementation, the graphical user interface is adapted for selectively causing an alarm event based at least in part on a rate of uterine contractions conveyed by the first information and the threshold rate of uterine contractions.