A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.

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.

Image analysis method for quantitative assessment of a degree of coordination of uterine motion, comprising: obtaining a recording of a uterus; tracking, in the recording, at least two propagation waves of uterine motion in at least two different regions of the uterus and/or on at least two different times; and determining the degree of coordination of the uterine motion based on a similarity measure of at least two characteristics of the at least two propagation waves.

A system for achieving optimal sensor placement and enhanced signal quality for monitoring maternal and fetal activities is disclosed. The system includes a monitoring device and a computing unit. The monitoring device is configured for monitoring maternal and fetal activities and providing guidance to the user via the computing unit upon detecting a feature of interest. The monitoring device includes a plurality of sensors, a data acquisition and transmission unit, one or more reference electrodes, and a ground electrode. Based on personal data acquired using the computing unit, the system utilizes a statistical or machine learning model which incorporates one or more subsets of the personal data to determine the optimal sensor placement close to the fetal heart position. Following sensor placement, the monitoring device performs a signal quality assessment and selects the optimal sensors to ensure reliable information on maternal and fetal activities is obtained.

A catheter insertable into a cavity of a patient for monitoring pressure including a first lumen for drainage from the cavity and an expandable balloon. The balloon has a liquid containing chamber to monitor pressure within the cavity of the patient as pressure on the outer wall of the balloon deforms the balloon and compresses the liquid within the balloon. An exit port provides passage of air from an interior of the balloon to outside the catheter. A membrane has plurality of pores dimensioned to enable passage of air but prevent passage of the liquid therethrough. A pressure sensor communicates with the liquid containing chamber for measuring pressure based on compression of liquid caused by deformation of the expanded balloon.

Described herein are methods for identifying a labor state in a pregnant female, including: receiving an input indicating a gestational age; acquiring a physiological signal; processing the physiological signal to extract a parameter of interest; and feeding the parameter of interest into a machine learning model. The machine learning model is configured to: determine a first labor probability based on the parameter of interest, determine a second labor probability based on the parameter of interest or a second parameter of interest and the gestational age, and classify the labor state of the pregnant female based on the first and second labor probability.

Aspects of the technology described herein related to monitoring fetal heartbeat and uterine contraction signals. An ultrasound system may be configured to sweep a volume to collect ultrasound data, detect a fetal heartbeat and/or uterine contraction signal in the ultrasound data, and automatically steer an ultrasound beam to monitor the fetal heartbeat and/or uterine contraction signal. The ultrasound system may be further configured to determine a location where the fetal heartbeat and/or uterine contraction signal is detectable or detectable at a highest quality. The ultrasound system may include a wearable ultrasound device, such as an ultrasound patch coupled to a subject. The wearable ultrasound device may have a two-dimensional array of ultrasonic transducers capable of steering ultrasound beams in three dimensions.

The present invention is directed to a method for health monitoring using one or more sensors comprising first measuring (100) a body composition via one or more sensors. The measured body composition is then classified (102) into one of a plurality of categories. An at least one setting to be used for the health monitoring is adjusted (104) based on the classified body composition. Then, the health monitoring is performed (106) using the adjusted at least one health monitoring setting, wherein at least one of the sensors used to measure the body composition may also be used to perform the health monitoring.

A detection probe and a fetal monitor. The detection probe comprises a probe body (2) and a mounting structure (1), detachably mounted on the probe body (2) and having a heart rate sensor for heart rate detection, a socket (4) for data transmission, and a lead line (5) for connecting the heart rate sensor and the socket (4) arranged thereon. A variety of functions can be achieved by means of a single detection device and thus the degree of integration is high; moreover, when the heart rate sensor is failed or aged, because the mounting structure (1) can be separated from the probe body (2), it is only necessary to repair and replace a corresponding part, so that the maintenance is convenient and the cost is reduced. Furthermore, the mounting structure (1) can also product the probe body (2) to some extent, and thus the anti-dropping capability of the detection probe is improved.

The disclosure provides for a systems and methods for monitoring uterine contractions of a uterus of a mammal by reconstructing three-dimensional images of uterine surface electrical activity based on a noninvasively obtained body-uterus geometry and a plurality of body surface electrical potential maps.