A sensing device for sensing perinatal maternal uterine activity and fetal heart activity is provided. The sensing device includes a body with an electromechanical system and a housing, a passive acoustic system with a plurality of microphones and an acoustic waveguide, an attachment component, an accelerometer, a signal analysis system including a microcontroller unit, and a wireless transceiver. The signal analysis system is configured to process biopotential signals and acoustic signals detected by the passive acoustic system and to reduce motion artifacts from the signals using the accelerometer.

A system for monitoring a fetus in a pregnant woman, and/or the maternal health risk for pregnancies complicated by such as pre-eclampsia and hypertensive disorders is configured to be worn by the pregnant woman, preferably so as to allow monitoring during daily life, e.g. in the form of an adhesive patch. The unit has a sound sensor, e.g. a microphone or accelerometer, to be positioned on the skin of the abdominal area so as to detect a vascular sound from umbilical arteries of the fetus or from the uterine arteries of the pregnant woman. The sound sensor is functionally connected to a processing unit which executes a processing algorithm on the captured vascular sound and extracts a signal parameter accordingly. The processing unit then communicates the signal parameter, e.g. using an audio signal, a visual display or by means of a wired or a wireless data signal.

A medical image diagnostic apparatus according to the embodiment includes a scanner, image generating circuitry, marker generating circuitry, and control circuitry. The scanner performs scanning to generate an image of the inside of a subject. The image generating circuitry generates an image based on the result of scanning performed by the scanner. The marker generating circuitry generates a marker provided with information at a position serving as a reference for comparison with a certain structure. The control circuitry displays the image and the marker on the same screen of a display.

In one aspect, an apparatus for monitoring a physiological condition of a patient is disclosed. The apparatus includes a body having an attachment portion configured to be inserted into the skin of a patient to affix the body to the patient. The apparatus includes a sensor coupled to the body that is configured to generate sensor data corresponding to a physiological condition of the patient when the body is secured to the skin of the patient. The apparatus further includes a reference sensor that is remote from the sensor coupled to the body and is configured to engage an outer surface of skin to generate reference data against which the sensor data is compared.

A method for reducing the risk of neurological injury to a neonatal human child includes the steps of: (I) monitoring in a pregnant patient during labor at least a first set of parameters indicative of a present level of risk for neurological injury to the child as a fetus; (II) during the period between a cervical dilatation of 10 cm in the patient and delivery of the child and/or during at least the first 5 minutes following delivery of the child, determining a present level of risk for neurological injury to the child based on the at least first set of parameters at a given point in time during labor that is between a cervical dilatation of 10 cm in the patient and delivery of the child, and wherein the determined present level of risk corresponds to one of a plurality of predetermined levels of predicted risk for neurological injury to the child as a neonate; and (III) commencing monitoring the child for one or more postnatal parameters indicative of neurological injury or its onset within the first 5 minutes following delivery of the child, and/or performing one or more measures for treating the child for neurological injury or its onset within the first 60 minutes following delivery of the child.

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.

Utilizing a computing device to generate a personalized maternal nutrition plan for a pregnant mother. The computing device receives real-time maternal physiological data, fetal physiological data, and real-time environmental data associated with the pregnant mother. A real-time relationship is established. The real-time relationship is compared with historically established relationships between pregnant mothers and fetuses. The maternal physiological data is compared with pre-pregnancy data of the pregnant mother. The computing device detects one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother. The computing device generates a maternal nutrition plan. A notification is generated by the computing device and outputted to one or more electronic devices associated with the pregnant mother and/or one or more physicians.

The present invention discloses a virtual reality embryo image providing system. More specifically, the present invention relates to a deep learning-based embryo image providing system which extracts facial features of an embryo from an ultrasound image on the basis of a deep learning technique, generates a 3D model corresponding to the ultrasound image reflecting the facial features, and provides a virtual reality image using the 3D model. According to an embodiment of the present invention, the figure of an embryo can be displayed three-dimensionally through an HMD or the like by setting a plurality of codewords reflecting the features of each body part for a 2D embryo image, and performing a learning procedure on the basis of the codewords according to a deep learning model to provide a 3D model generated by combining the body components that are most similar to the actual face of the embryo. Therefore, a differentiated and realistic embryo imaging service can be provided to a pregnant person.

The present invention relates to a device for monitoring a concentration of an analyte in a foetus. The device comprises a biosensor for electrochemically measuring a concentration of an analyte in the foetus, a protrusion configured to be at least partially inserted into foetal tissue, and a device body supporting the biosensor and the protrusion. The device is configured such that when the device body contacts the surface area of the foetal tissue, the device body can be anchored to the foetal tissue and the protrusion can be inserted into the tissue so that the reactive substance of the biosensor electrochemically reacts with the analyte in the foetal tissue and in response to the electrochemical reaction the electrode of the biosensor detects an electronic signal, a strength of the electronic signal being indicative of the concentration of the analyte.