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.

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 technology for obtaining a fetal heart rate from an electrocardiogram (ECG) signal. In one example, an artificial neural network model can be trained to predict a fetal heart rate using a training dataset containing ECG data. The artificial neural network model can include a first series of convolutional layers to separate a fetal ECG signal from a maternal ECG signal, a fast Fourier transform (FFT) layer to convert the fetal ECG signal to ECG frequency representations, and a dense layer to decode the ECG frequency representations to fetal heart rate predictions. After training the artificial neural network model, ECG data generated by an ECG monitor can be obtained, and the ECG data can be input to the artificial neural network model. The artificial neural network model outputs a fetal heart rate prediction, wherein the fetal heart rate prediction represents the fetal heart rate obtained from the ECG signal.

A trans-abdominal non-invasive fetal blood oxygen saturation detection device comprises a trans-abdominal fetal oximeter and a signal detection assembly connected to the trans-abdominal fetal oximeter. The trans-abdominal oximeter comprises a signal processing controller. The signal detection assembly comprises a light-emitting light source device and a light receiving device, wherein the light-emitting light source device, the light receiving device and a reference signal detection device are all connected to the signal processing controller. The light-emitting light source device irradiates two or more different wavelengths of light into the abdominal cavity of a pregnant woman. The light receiving device comprises a plurality of light receivers respectively placed at a plurality of different positions outside the abdominal cavity of the pregnant woman, and is configured to collect a plurality of optical signals related to the fetal blood oxygen saturation, which are scattered and reflected back from the abdominal cavity of the pregnant woman through the plurality of light receivers, synthesize the optical signals into an optical signal sum related to the fetal blood oxygen saturation and then output it to the signal processing controller, such that the intensity of the received optical signals is improved.

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.

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.

Systems and methods of maternal and fetal monitoring include acquiring ultrasound physiological data with an ultrasound transducer. A plurality of electrodes acquire biopotential physiological data from the skin of a patient. A controller receives the ultrasound and biopotential physiological data and calculates fetal heart rate (fHR) values, maternal heart rate (mHR) values, and uterine activity (UA) values from the ultrasound and biopotential physiological data.

The disclosed apparatus, systems and methods relate to tracking abdominal orientation and activity for purposes of preventing or treating conditions of pregnancy, respiratory diseases or other types of medical conditions. In certain specific embodiments, the system, device, or method relates to identifying abdominal or sleep position orientation risk values, calculating and updating a cumulative risk value, comparing the cumulative risk value to a threshold, and outputting a warning when the cumulative risk value crosses the threshold.

A multi-lumen catheter for monitoring uterine contraction pressure having an elongated body configured and dimensioned for insertion into a bladder of a patient, the catheter having a first lumen, a second lumen, and a first balloon at a distal portion, the first lumen communicating with the first balloon. The second lumen communicates with the bladder to remove fluid from the bladder. The first balloon is filled with a gas to form along with the first lumen a gas filled chamber to monitor pressure within the bladder to thereby monitor uterine contraction pressure of the patient.

A method includes receiving a plurality of raw PCG data inputs; applying at least one binary classification technique to each of the raw PCG data inputs to generate a respective plurality of filtered PCG data inputs; applying at least one divide-and-conquer algorithm to detect heartbeat compartments in each of the plurality of the filtered PCG data inputs based, at least on part, on assumptions that noise signals and S1-S2 altemation acoustic signals are non-stationary over a one-minute time interval; classifying each compartment of the heartbeat compartments in each of the plurality of the filtered PCG data input as a maternal compartment or a fetal compartment based at least on a plurality of referenced maternal QRS positions; combining a plurality of maternal compartments to identify at least one actual maternal heartbeat; combining a plurality of fetal compartments to identify at least one actual fetal heartbeat.