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US 2026/0198844 A1Published application
Systems and methods for maternal uterine activity detection
OwnerMuhammad MHAJNAinventor
Life of this patent
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Abstract
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.
Claims17
A computer-implemented method, comprising:
- receiving, by at least one computer processor, a plurality of raw acoustic inputs,
- wherein each of the raw acoustic inputs being received from a corresponding one of a plurality of acoustic sensors, and
- wherein each of the plurality of acoustic sensors is positioned so as to measure a respective one of the raw acoustic inputs of a pregnant human subject;
- generating, by the at least one computer processor, a plurality of signal channels from the plurality of raw acoustic inputs,
- wherein the plurality of signal channels comprises at least three signal channels;
- pre-processing, by the at least one computer processor, respective signal channel data of each of the signal channels to produce a plurality of pre-processed signal channels,
- wherein each of the pre-processed signal channels comprises respective pre-processed signal channel data;
- extracting, by the at least one computer processor, a respective plurality of S1-S2 peaks from the pre-processed signal channel data of each of the pre-processed signal channels to produce a plurality of S1-S2 peak data sets,
- wherein each of the S1-S2 peak data sets comprises a respective plurality of S1-S2 peaks;
- removing, by the at least one computer processor, from the plurality of S1-S2 peak data sets, at least one of:
- (a) at least one signal artifact or (b) at least one outlier data point,
- wherein the at least one signal artifact is one of a movement-related artifact or a baseline artifact;
- replacing, by the at least one computer processor, the at least one signal artifact, the at least one outlier data point, or both, with at least one statistical value determined based on a corresponding one of the S1-S2 peak data sets from which the at least one signal artifact, the at least one outlier data point, or both was removed, to produce a plurality of interpolated S1-S2 peak data sets;
- generating, by the at least one computer processor, a respective S1-S2 signal data set for a respective S1-S2 signal channel at a predetermined sampling rate based on each respective interpolated S1-S2 peak data set to produce a plurality of S1-S2 signal channels;
- selecting, by the at least one computer processor, at least one first selected S1-S2 signal channel and at least one second selected S1-S2 signal channel from the plurality of S1-S2 signal channels based on at least one correlation between (a) a respective S1-S2 signal data set of at least one first particular S1-S2 signal channel and (b) a respective S1-S2 signal data set of at least one second particular S1-S2 signal channel;
- and
- generating, by the at least one computer processor, acoustic uterine monitoring data representative of an acoustic uterine monitoring signal based on at least the respective S1-S2 signal data set of the first selected S1-S2 signal channel and the respective S1-S2 signal data set of the second selected S1-S2 signal channel.
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Dependencies are inferred from the claim text.