A healthcare-monitoring system collects health data through sensors then analyzes the data. The system may then instruct the user to retrieve one or more medical devices or tests stored within the system and perform an additional diagnostic measurement or test. Medication may also be stored within the system. The location of a medical device, test, or medication may be tracked in relation to the position of the user and the user's body parts. Correct use of the medical device or test and consumption of the medication may be assessed. A user interface may provide instruction for proper use of a medical device or test as well as its location within the system. Sensors may indicate whether a medical device has been returned to its proper place or if a consumable medical product has been removed from storage. The system may automatically reorder consumable medical supplies and track drug compliance.

Fetal tissue oxygenation may be performed transabdominally by, for example, receiving a plurality of detected electronic signals that correspond to light emitted from a pregnant mammal's abdomen and a fetus contained therein that has been detected by the detector and converted into the detected electronic signal. An indication of a depth of the fetus within the pregnant mammal's abdomen may be received and a portion of the detected electronic signals that correspond to light that was incident upon the fetus may be isolated responsively to the indication of the depth of the fetus using, for example, time of flight of photons that correspond to the detected electronic signals. A fetal tissue oxygen saturation level may then be determined using the isolated portion of the detected electronic signals that correspond to light that was incident upon the fetus.

A method for determining a nervous system condition includes obtaining an estimate of a first scan plane among a plurality of planes of a maternal subject using a first deep learning network during a guided scanning procedure. The method further includes receiving a three-dimensional (3D) ultrasound volume corresponding to the initial estimate and determining an optimal first scan plane from the first deep learning network. The method further includes determining at least one of a second scan plane, a third scan plane and a fourth scan plane among the plurality of planes, based on the optimal first scan plane and at least one of a clinical constraint corresponding to the plurality of planes using a second deep learning network. The method includes determining a biometric parameter corresponding to nervous system based on at least one of the plurality of planes using a third deep learning network.

Provided is a diagnostic device for diagnosing a state of a subject based on a ratio or a difference between a color intensity of a first test portion and a color intensity of a second test portion in a reaction unit receiving a sample therein, wherein reaction unit includes a sample pad; a conjugate pad; a reaction membrane; and a wicking pad, and wherein the reaction membrane has two or more test portions.

The invention is generally a system, apparatus, and method for monitoring and measuring a change in intrauterine pressure without rupturing the amniotic sac. A catheter is coupled to a pressure sensing module. The pressure sensing module is configured with a chamber that is in fluid communication with a balloon of the catheter. The chamber includes a pressure-sensing membrane coupled to sensing circuitry. The sensing circuitry is configured to detect a pressure applied to the pressure-sensing membrane and communicate the condition to a monitor of the system. Methods include inserting the catheter through the cervix so that the balloon may be inflated and situated in the lower segment of the uterus, resting against the amniotic sac. Because the balloon of the catheter is in fluid communication with the pressure-sensing membrane, pulsations of the amniotic sac will be sensed by the sensing circuitry of the pressure sensing module.

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 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 biometric monitoring system is provided comprising one or more first biometric monitoring devices each comprising a first plurality of biometric sensors, a display screen, a first band body and a first securement mechanism coupling the first band body around a first user's body part. The system further comprises a second biometric monitoring device comprising a second plurality of biometric sensors, a second band body and a second securement mechanism coupling the second band body around a pregnant user's back, sides and midriff. The one or more first biometric monitoring devices are in wireless communication with one or more remote electronic devices and the one or more second biometric monitoring devices, and the one or more second biometric monitoring devices are in wireless communication with the one or more remote electronic devices. The one or more remote electronic devices each comprise a graphical user interface allowing a remote user to set one or more threshold values for each of the first and second plurality of biometric sensors. When the first or second biometric monitoring devices determine that the one or more threshold values have been met, two or more actions are triggered including alerting emergency services, the first user, the pregnant user and/or the one or more remote users in substantially real-time via audio, tactile and/or video communication.

A method and device for measuring intra-abdominal pressure in a pregnant woman to assess likelihood or occurrence of pre-eclampsia The method includes providing a catheter having first and second lumens and a balloon, inserting the catheter into a bladder of the patient, injecting gas into the first lumen of the catheter to expand the balloon, obtaining a first pressure reading of the bladder based on deformation of the balloon to thereby monitor pressure within an abdomen of the mother to assess if pre-eclampsia is occurring or likely to occur and transmitting the first pressure reading to an external monitor connected to the catheter. The pressure reading is indicative of the presence and/or risk of pre-eclampsia to determine when intervention should occur to prevent morbidity and mortality of the woman and baby.

The system determines a fetal blood oxygenation level by activating two or more light sources, having different wavelengths, which are positioned on the maternal abdomen of a pregnant mammal to direct light into a maternal abdomen toward a fetus. The system then receives a maternal signal from a first photodetector, which is positioned on the maternal abdomen to receive reflected light that traverses maternal tissue. The system also receives a mixed signal from a second photodetector, which is positioned on the maternal abdomen to receive reflected light that traverses both maternal and fetal tissue. The system performs a filtering operation that removes maternal signal components from the mixed signal to produce a fetal signal. The system determines the fetal blood oxygenation level by performing a pulse-oximetry computation on the fetal signal. The system dynamically adjusts operational parameters in the face of changing variables, such as fetus position and depth.