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.

An apparatus for monitoring an obstetrics patient during labour is provided. The apparatus receives a contraction signal conveying information related to occurrences of uterine contractions over time and processes his signal to derive a sequence of rates of uterine contractions over time. The apparatus also implements a Graphical User Interface (GUI) presenting a tracing of at least part of the sequence of rates of uterine contractions over time along with a threshold rate of uterine contractions GUI is dynamically adapted over time based on the contraction signal received. The sequence of rates of uterine contractions derived over time is also processed to detect occurrences of anomalous contraction rates and to identify one or more portions of the tracing corresponding to sustained anomalous contraction rate segments during which anomalous contraction rates have persisted for time durations exceeding a pre-determined time duration. The GUI is configured to trigger an alarm event in response to identification of a specific sustained anomalous contraction rate segment.

Systems, methods, and computer-readable media are provided for displaying on a user display device alarm-triggering events detected by the medical device based on the location of the user display device. The method comprises receiving alarm-triggering patient data from a medical device and determining the physical location of first and second user display devices. The method further comprises determining that the physical location of the first user display device is designated to have an alarm displayed, and that the physical location of the second user display device is not designated to have an alarm displayed. In response to these determinations, the content of the alarm is displayed on the first user display device.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

A method implemented through an electronic system for processing a sequential data to identify possible peak points is disclosed. The method defines a decayed threshold function and partition the sequential data into a plurality of segments by grouping each data point with surrounding data points into one of the segments. After that, a plurality of weighted segments are derived through weighting the surrounding data points by the decayed threshold function in each of the segments, and the peak points are identified through corresponding weighted segment.

An apparatus for monitoring an obstetrics patient during labour is provided. The apparatus receives a contraction signal conveying information related to occurrences of uterine contractions over time and processes his signal to derive a sequence of rates of uterine contractions over time. The apparatus also implements a Graphical User Interface (GUI) presenting a tracing of at least part of the sequence of rates of uterine contractions over time along with a threshold rate of uterine contractions GUI is dynamically adapted over time based on the contraction signal received. The sequence of rates of uterine contractions derived over time is also processed to detect occurrences of anomalous contraction rates and to identify one or more portions of the tracing corresponding to sustained anomalous contraction rate segments during which anomalous contraction rates have persisted for time durations exceeding a pre-determined time duration. The GUI is configured to trigger an alarm event in response to identification of a specific sustained anomalous contraction rate segment.

The invention relates to a non-invasive system for determining the maturation of a baby, which comprises a module for sampling a cardiac or electroencephalographic signal from a baby and advantageously performs a conversion of a plurality of temporal samples derived from the cardiac signal or from the electroencephalic signal into a visibility graph, then a determination of at least one index on the basis of this visibility graph, a comparison of at least one determined index with one or more statistical indices representative of the maturation of a plurality of babies and a visual representation of a distance between at least one determined index and the statistical indices.

A ballistocardiographic method and monitoring system calculates an indicator of the average heart rate of a test subject within a time interval. The test subject may be a fetus inside a mother's belly, or infant lying in the same bed as an adult. The monitoring system comprises a recoil surface and an acceleration sensor in contact with the recoil surface. A control unit identifies in the time domain the characteristics of the adult's heartbeat during the time interval. The output signal is then transformed to the frequency domain across the time interval and the signal is screened with the adult heartbeat characteristics. The indicator is then calculated from the screened signal in the frequency domain. The control unit monitors the indicator of the infant or fetus heart rate and may provide an alert if the indicator value drops very rapidly, or falls below a predetermined threshold value.

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.

This invention is related to an operation scenario flow, mechanical modeling and analysis system comprising web based, (i) growth (ii) scaling and (iii) quality control aimed, patient based fast prototyping functions, for newborn and fetus cardiovascular repair operations, developed in order to be used for training of doctors and patient specific post surgery performance prediction in hospitals following and prior to, cardiovascular operations within the field of bioengineering in the health sector. Moreover it can be used for both vivo implantation plans of patient specific cardiovascular devices (custom cardiac valve and cardiac support pumps) and adaptation of said devices to the physiology of the patient.