There are provided an ultrasound diagnostic apparatus and a control method for an ultrasound diagnostic apparatus capable of performing an appropriate examination according to a gender of a subject without requiring a user to input the gender of the subject.

The ultrasound diagnostic apparatus includes: a bladder extraction unit that extracts a bladder region from an ultrasound image; a gender determination unit that determines a gender of a subject based on a shape of the bladder region in a case where an area of the extracted bladder region is larger than a predetermined area threshold value; and an observation support unit that supports an observation of a next observation site which is determined according to the determined gender of the subject.

Systems/techniques that facilitate two-tiered machine learning generation of birth risk score are provided. In various embodiments, a system can access a plurality of medical feature collections associated with a pregnant patient. In various aspects, the system can generate, via execution of a plurality of first trained machine learning models, a plurality of embedded features based on the plurality of medical feature collections. In various instances, the system can compute, via execution of a second trained machine learning model, a risk score based on the plurality of embedded features, wherein the risk score indicates an amount of risk to a health of the pregnant patient or a health of a fetus of the pregnant patient that is associated with performing a caesarian-section on the pregnant patient or with waiting for the pregnant patient to give birth naturally.

Sonography systems and methods for performing sonography are provided in which the gender of a fetus is obfuscated. Gender is obfuscated by blurring or otherwise obfuscating the genitalia of the fetus in a sonogram, optionally also by subtly modifying features like dimensions of bones from which gender could otherwise by deduced, and by modifying sonography data so that if copied and removed from the sonography system the gender of the fetus is obfuscated in the copy. Trained neural networks are employed to locate genitalia and to correctly identify gender from features other than the genitalia so that the genitalia can be obfuscated and other features subtly modified to evade gender detection.

The present invention relates to a device (10) for detecting a misuse of a medical imaging system (20), comprising a data interface (12) for acquiring medical image data (24) and audit log data (26) from the medical imaging system (20); a processing unit (14) which is configured to configured to analyse the medical image data (24) to determine whether or not a part of a fetus is imaged in the medical image data (24), to compare the medical image data (24) and the audit log data (26) with each other, and to determine based on said comparison whether there is a mismatch between the medical image data (24) and the audit log data (26); and a feedback unit (16) which is configured to generate a misuse alert signal if a mismatch is detected by the processing unit (14).

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 patient monitoring system includes: a biomedical sensor including: a transducer configured to produce a signal corresponding to a biological function; a sensor converter configured to convert the signal to a converted signal; and a transmitter configured to produce a communication, based on the converted signal, that is indicative of one or more values of the biological function, and to send the communication wirelessly; and a base station including: a receiver configured to receive the communication wirelessly and to produce a receiver output signal; a base station interface configured to produce a base station output signal indicative of the one or more values of the biological function; and at least one output port to receive the base station output signal and configured to be hard-wire connected to a display that is configured to display information indicative of the biological function.

A medical image processing apparatus comprises processing circuitry configured to: obtain a medical imaging data set representative of at least part of at least one surface; render from the medical imaging data set at least one image of the at least part of the at least one surface, wherein the or each image is rendered using a respective lighting configuration; and determine a measure of lighting quality for the or each rendered image; wherein, for the or each rendered image, the determining of the measure of lighting quality comprises, for each of a plurality of locations on the at least part of the at least one surface, determine a correspondence between a curvature of the at least one surface at that location and a lighting value at that location, wherein the lighting value is obtained from the rendering of the image; and determine the measure of lighting quality based on the determined correspondences.

Methods for monitoring a fetus employ a mobile computing device. A method of monitoring a fetus includes generating a first preprocessed acoustic signal via amplification of a first acoustic signal. The first preprocessed acoustic signal is processed by a mobile computing device to extract one or more of a fetal heart sound, a fetal heartbeat rate, or a fetal heartbeat acoustic intensity.

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.

The present invention relates to the field of biomedical signal processing, specifically, a device and method of implementation for enhancing the accuracy of fetal heart rate acceleration data recognition. The present invention comprises: collecting fetal heart rate data in a pre-configured period so as to obtain a fetal heart rate data sequence, H(n); performing baseline identification on the fetal heart rate sequence, H(n), to obtain a fetal heart rate baseline data sequence, B(n); pre-processing the fetal heart rate data sequence, H(n), to obtain a pre-processed fetal heart rate data sequence, C(n); performing acceleration recognition on the pre-processed fetal heart rate data sequence, C(n), according to pre-configured acceleration determination criteria and the fetal heart rate baseline data sequence, B(n), to obtain acceleration data segments; calculating an acceleration attribute value for each of the acceleration data segments, and outputting each acceleration data segment and the acceleration attribute value calculation result thereof. The technical solution provided by the present invention effectively distinguishes the variations between the accelerations and the baseline, accurately recognizes each acceleration in continuous accelerations, and avoids the situations of the detected number of fetal heart rate data accelerations being lower than the actual number or being mistaken due to current methods, thereby enhancing the accuracy in recognizing fetal heart rate curve accelerations.