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.

A method implemented through an electronic system for processing a sequential data to identify possible peak points is disclosed. The method defines a decayed threshold function and partition the sequential data into a plurality of segments by grouping each data point with surrounding data points into one of the segments. After that, a plurality of weighted segments are derived through weighting the surrounding data points by the decayed threshold function in each of the segments, and the peak points are identified through corresponding weighted segment.

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.

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.

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.

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.

An electrode interface system for providing a connection between at least one electrode and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the electrode(s) into uterine activity data signals for use by the maternal-fetal monitor. The electrode interface system of the invention preferably includes a conversion means for converting the signals from the electrode(s) into signals similar to those produced by a tocodynometer.

An electrode interface system for providing a connection between at least one electrode and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the electrode(s) into uterine activity data signals for use by the maternal-fetal monitor. The electrode interface system of the invention preferably includes a conversion means for converting the signals from the electrode(s) into signals similar to those produced by a tocodynometer.

The disclosure describes techniques for predicting maternal and/or fetal health outcomes based on maternal and/or fetal patient data. The patient data may include, for example, data regarding sensed biopotential signals such as maternal and/or fetal electrocardiography (ECG) signals, maternal and/or fetal electromyography (EMG) signals, and/or other biopotential signals. The patient data may further include maternal and/or fetal biometric data and/or health assessment data. The system determines, based on processing the patient data using a machine learning model trained with historical patient data for a plurality of patients, one or more predicted outcomes associated with the patient.

The disclosure describes techniques for predicting maternal and/or fetal health outcomes based on maternal and/or fetal patient data. The patient data may include, for example, data regarding sensed biopotential signals such as maternal and/or fetal electrocardiography (ECG) signals, maternal and/or fetal electromyography (EMG) signals, and/or other biopotential signals. The patient data may further include maternal and/or fetal biometric data and/or health assessment data. The system determines, based on processing the patient data using a machine learning model trained with historical patient data for a plurality of patients, one or more predicted outcomes associated with the patient.