A fetal state estimation apparatus estimates a state of a fetus in a maternal body based on a potential signal indicating a change in potential on a surface of the maternal body. The fetal state estimation apparatus is configured to include a rotation angle estimation unit which estimates a rotation angle of the fetus with respect to the maternal body at every beating of a heart of the fetus based on the potential signal and a fetal movement estimation unit which estimates a fetal movement which is a movement of the fetus based on the potential signal and the estimated rotation angle.

Sensor-based systems, devices, and methods are disclosed for monitoring for an aortocaval compression condition in a pregnant woman. A sensor device may be secured directly or indirectly to the woman, which may collect various sensor data related to the woman and/or the fetus. The device may determine a physical orientation of the woman (e.g., upright and/or lateral tilt angles of the woman) and/or biometric parameter(s) of the woman and/or fetus based on the collected sensor data, identify an aortocaval compression condition based on the determined orientation of the woman and/or biometric parameter(s) of the woman and/or fetus, and generate a repositioning alert via an alert mechanism. The disclosed concepts may be implemented, for example, as a personal home-use device, or as a broader system in a hospital or other medical facility, e.g., for monitoring and displaying aortocaval compression related information for multiple patients and/or facilitating patient turn protocols.

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 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 invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac activity data, utilizing a plurality of acoustic sensors.

A system and method is provided for monitoring the fetal position and/or orientation of the fetus of an expectant mother. An acoustic sensor array is positioned over the belly. The pattern of acoustic sensor signals is processed to determine a fetal orientation and/or to determine movement over time of the fetus.

A graphical user interface is provided displaying a first viewing window selected from a set of possible viewing windows conveying respective feature measurements related to labor progression. At least one viewing window in the set of possible viewing windows conveys a given feature measurement and a safety limit associated to the given feature measurement. The graphical user interface also displays at least one control allowing a user to select a subset of viewing windows from the set of possible viewing windows, the subset of viewing windows including at least one viewing window other than the first viewing window. The selected subset of viewing windows is displayed simultaneously with the first viewing window. In response to the given feature measurement exceeding the associated safety limit, information is displayed to attract the attention of the user to the viewing window conveying the given feature measurement.

Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.

Disclosed is a fetal heart monitor vestment, having a non-conductive fabric garment configured to be closely fitted to a female, a monitor controller unit comprising a fetal heart rate monitor and having a data input port, an ECG harness comprising a plurality of electrodes and a plurality of conductive fabric wires, each electrode attached to at least one of the conductive fabric wires, the conductive fabric wires in attachment to and in communication with the data input port, the electrodes and conductive fabric wires integrated into the fabric of the garment, and at least one said electrode disposed in the garment so as to be positioned on, and in close contact with, the female in a manner effective in sensing a fetal cardiac potential signal. A variety of fetal heart rate monitors and methods of operation are also disclosed.

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.