Nuvo Group Ltd.

Muhammad Mhajna

Oren Oz

Nathan Intrator

Ilya Divinsky

Amit Kam

Elad Knoll

Yael Kulish

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 alternation 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.

Systems, apparatuses and methods for sensing fetal activity

A computer-implemented method includes providing, by at least one computer processor, a plurality of signal channels, wherein the plurality of signal channels includes a plurality of electrical uterine monitoring signal channels and a plurality of acoustic uterine monitoring signal channels; determining, by the at least one computer processor, a plurality of channel weights, wherein each of the channel weights corresponds to a particular one of the signal channels; and generating, by the at least one computer processor, a combined uterine monitoring signal channel by calculating a weighted average of the signal channels based on the channel weight for each of the signal channels.

Fusion signal processing for maternal uterine activity detection

A method includes receiving acoustic inputs; generating signal channels from the acoustic inputs; pre-processing data in the signal channels; extracting S1-S2 peaks from the pre-processed data; removing artifacts and outliers from the S1-S2 peaks; generating S1-S2 signal channels based on the S1-S2 peaks in the pre-processed signal channels; selecting two or more of the S1-S2 signal channels; and combining the selected two or more S1-S2 signal channels to produce an acoustic uterine monitoring signal.

Systems and methods for maternal uterine activity detection

A method includes receiving bio-potential inputs; generating signal channels from the bio-potential inputs; pre-processing data in the signal channels; extracting R-wave peaks from the pre-processed data; removing artifacts and outliers from the R-wave peaks; generating R-wave signal channels based on the R-wave peaks in the pre-processed signal channels; selecting two or more of the R-wave signal channels; and combining the selected two or more R-wave signal channels to produce an electrical uterine monitoring signal.

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.

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Umm al Fahem, Israel

Muhammad Mhajna