Described herein are systems and methods for contraction monitoring. For example, a system for contraction monitoring includes an electrode patch including at least two electrodes, and a sensor module configured to be connected to the electrode patch. In some embodiments, the sensor module includes a signal acquisition module, a signal processing module, a power management module, a sensor control module, and a memory module and/or a data transmission module. In some embodiments, a method for contraction monitoring includes measuring, using the signal acquisition module, bio-potential signals by providing at least two electrodes on the abdomen of a pregnant woman. In some embodiments, a method for contraction monitoring includes processing, using the signal processing module, the bio-potential signal to extract electrohysterogram signals, maternal electrocardiogram signals and fetus electrocardiogram signals, and processing using the signal processing module, the individual signals to extract uterine contraction.

A system for monitoring a fetal heartbeat sound has a sensor matrix adapted to be placed adjacent to a fetus, a processor for receiving signals transmitted by the sensor matrix, a processor for receiving signals transmitted by the sensor matrix, and a display connected to the processor so as to provide a humanly perceivable indication of the heartbeat sound. The sensor matrix has a plurality of sensors of which at least one of which is facing the fetus. The processor identifies a fetal heartbeat sound from among other sounds. The sensor array is affixed to a wearable article that is adapted to be worn by mother.

A method and system are provided for detecting a position of a periodically moving organ in a MRI examination. MR images of an examining person including a periodically moving organ are provided over a plurality of periodic cycles of the periodically moving organ. Based on the provided MR images, a pixel frequency is associated with each pixel of the MR images. Using the associated pixel frequencies and the positions of the pixels within the MR images, the position and the frequency of the periodically moving organ are determined.

The disclosure relates to a method for the interactive acquisition of data from an object under investigation by a magnetic resonance system. The data is acquired from the object under investigation with the magnetic resonance system and images are automatically reconstructed and displayed in real time based on the data. A time interval is determined during which a predetermined condition is met in the images. Quality images are automatically reconstructed based on the data acquired within the time interval. The temporal resolution during reconstruction of the quality images is higher than the temporal resolution during reconstruction of the images.

A system and/or device for transabdominal fetal oximetry and/or fetal pulse oximetry and/or uterine tone determination may include one or more articulating, adjustable, and/or selectable components such as a light source and/or a photodetector. In some embodiments, the positioning of a light source and/or detector may be adjustable. The articulation and/or adjustment of position of the light source and/or photodetector may be in any plane (X, Y, and/or Z) and, in some instances, may be responsive to a fetal position within a maternal abdomen. Light detected by the detectors may be used to determine a fetal hemoglobin oxygen saturation level and/or a muscular state (e.g., contracted or relaxed) of the pregnant mammal's uterus.

Analysis of a transabdominally-obtained composite non-pulsatile, or DC signal, for a pregnant mammal and her fetus may provide an indication of a hemoglobin oxygen saturation level for the fetus' non-pulsatile, or venous, blood. This analysis of the composite DC signal may allow for the determination of a relative and/or absolute indication of fetal hemoglobin saturation level for non-pulsatile, or venous, blood without requiring analysis of a fetal pulsatile, or AC, signal.

A method of fetal ultrasound monitoring includes detecting contact of a first ultrasound transducer to a mother's abdomen based on input from a contact sensor in the first ultrasound transducer. A first transducer identifier is received from the first ultrasound transducer, and then the first transducer identifier is correlated with a first transducer label. A first heart rate is measured based on output of an ultrasound device in the first ultrasound transducer, and a heart rate indicator is displayed accordingly. A position of the first ultrasound transducer is identified in a two-dimensional plane, and the first transducer label is displayed on an abdomen image based on the first position.

Devices, systems and methods for monitoring of fetal health through determination of fetal heart rate are described. In an example, beat-to-beat decelerations and accelerations are monitored to estimate fetal position and orientation within the womb using magnetometer sensors. The described embodiments enable long-term monitoring that can be remote from a clinical setting, and is sufficiently portable to be operable while the mother engages in substantial motion during daily activity. An example method includes receiving, from a magnetic sensor, a combined heart signal comprising a mixture of a maternal heart signal and the fetal heart signal, estimating, based on the combined heart signal, one or more parameters associated with a location/motion of the magnetic sensor, generating a de-noised combined heart signal by performing a de-noising operation on the combined heart signal, and tracking, based on the de-noised combined heart signal, an estimate of the fetal heart signal.

A system and method for guiding a user in ultrasound assessment of a fetal organ so as to perform a diagnostic evaluation of the fetal organ development during a medical examination. The system includes an input module and an image analysis module. The input model receives in real time a sequence of 2D ultrasound images including multiple predefined views of the fetal organ. The image analysis module provides each image as input to an image analysis structure, including at least one first classifier to identify if the image belongs to any view's category from a predefined list associated to at least one predefined fetal anatomical landmark, and provides each image as an input to a second classifier to detect predefined fetal anatomical landmarks. The image that corresponds to any of the view's categories and includes a predefined number of fetal anatomical landmarks is added to valid image list.

A medical image processing apparatus includes a setting unit, a tracking unit, and a calculation unit. The setting unit is configured to set a first region of interest in at least one of a plurality of medical images. The tracking unit is configured to carry out first tracking processing of tracking the motion of the first region of interest between the medical images and second tracking processing of tracking the motion of a second region of interest, different from the first region of interest, between the medical images. The calculation unit is configured to calculate the motion of the second region of interest with respect to the first region of interest by using the result of the first tracking processing and the result of the second tracking processing.