In one embodiment of the disclosure, a method of monitoring a fetus in utero is disclosed that includes implanting a medical device into a patient's uterus, collecting fetal data using the medical device, and transmitting, e.g., wirelessly, the fetal data from the medical device to a receiver. In another embodiment, a medical monitoring system is disclosed that includes a first device that is implantable into a patient's uterus for collecting fetal data, and a second device that is configured and dimensioned for connection with the first device such that the fetal data is wirelessly communicable from the first device to the second device.

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.

The disclosed apparatus, systems and methods relate to tracking abdominal orientation and activity for purposes of preventing or treating conditions of pregnancy or other types of medical conditions. In certain specific embodiments, the system, device, or method relates to identifying abdominal 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.

The present disclosure relates generally to the field of pregnancy devices. More specifically, the present disclosure relates to a wearable apparatus that alerts an expecting mother of unsafe lying or sleeping positions. An exemplary wearable apparatus consistent with the present disclosure comprises an adjustable belt member having an elongated axis of sufficient length to cover the girth of an expecting mother during the entire term of her pregnancy. Further, an attachment coupled to the wearable apparatus is present to secure the alarm belt to the expecting mother. In addition, sensors coupled to the wearable apparatus detect when the expecting mother is lying or sleeping in a supine position in which the sensors send signals to an external alarm. Furthermore, a power source may be coupled to the sensors to provide power thereto.

A method for assessment and/or monitoring a person's cardiovascular state comprises: using a sound and vibration transducer to acquire a vascular sound signal in order to detect a vascular sound from a cervical, thoracic, abdominal, pelvic, or lower limb region of the person; filtering the vascular sound signal to isolate the vascular sound, said filtering using a filter which attenuates frequencies below a lower cut-off frequency in a range of 100-300 Hz; and analyzing the filtered sound signal in order to determine whether an indication of a dicrotic notch in the vascular sound exceeds a set threshold.

There are provided a maternal and fetal monitoring device and a display device for monitoring device including fetal heart rate acquisition means configured to acquire a fetal heart rate, labor pain intensity acquisition means configured to acquire a maternal labor pain intensity, fetal bioelectric signal acquisition means configured to acquire a fetal bioelectric signal, and display means capable of simultaneously displaying a cardiotocogram that displays the fetal heart rate and the labor pain intensity side by side on the same time axis over time as a graph and a fetal bioelectric signal diagram displaying the fetal bioelectric signal, and optimizing and displaying, together with the cardiotocogram, the fetal bioelectric signal diagram and the like closely related to these pieces of information.

In the present invention, a system and associated method is provided for monitoring fetal vital parameters. The system includes a base unit, a monitoring hub including a digital signal processor/controller and operably connected to the base unit by a single channel digital signal protocol cable, e.g., a USB cable, and a number of fetal monitoring sensors operably connected to the monitoring hub. The controller processes the signals from the sensors into a single USB protocol which can be sent along a single cable to the base unit. The USB cable allows power to be supplied to the hub in order to charge a battery used to operate the hub and the sensors connected to the hub when disconnected from the base unit to allow the patient using the hub to move freely about the base unit, with all sensor signals from the hub being wirelessly transmitted to the base unit.

A method of estimating fetal electrocardiogram (FECG) signals utilizes a plurality of ECG signals measured along the mother's abdomen. The method includes defining an MECG (ECG) dictionary of symbols and projecting the plurality of abdominal ECG signals onto the MECG dictionary to estimate MECG signals within each of the plurality of abdominal ECG signals. The estimated MECG signals are subtracted from the plurality of measured abdominal ECG signals to estimate FECG signals and the plurality of estimated FECG signals are combined to generate a representation of the FECG source signal.

Wearable fetal health monitoring device for determining a heath condition of a fetus based on biosignals of an expecting mother and the fetus is provided. The device includes a MEMS accelerometer that converts an acoustic wave sensed in an abdominal region into an abdominal acoustic signal. The device also includes a pulse oximeter generates a maternal photoplethysmogram (mPPG) value from a pulse sensed in the abdominal region. The device further includes a microcontroller configured to: generate a maternal phonocardiogram (mPCG) value from the abdominal acoustic signal; calculate a first maternal heart rate (mHR) value from the mPCG value; calculate a second mHR value from the mPPG value; compare the first mHR value with the second mHR value to identify a noise correction value; and apply the identified noise correction value to the mPCG value to extract a fetal phonocardiogram (fPCG) value.

Described herein are systems, devices, and methods for non-invasive pregnancy testing. The systems, devices, and methods can be used to provide pregnancy status information of a subject by detecting cardiovascular activity of a fetus in the subject. Subjects can include ruminants, ungulates, and humans.