Mark J Holm

US Patent:

20220175324, Jun 9, 2022

Filed:

Dec 1, 2021

Appl. No.:

17/457206

Inventors:

- Oakdale MN, US
Kathleen Ann Tune - Minneapolis MN, US
Christian Larson - Minneapolis MN, US
Mark Holm - Rochester MN, US
Nikola Rahman - Belgrade, RS
Ognjen Milicevic - Belgrade, RS

International Classification:

A61B 5/00
A61B 5/024
A61B 5/344
A61B 5/339
A61B 5/145
A61B 5/0205
A61B 5/282
A61B 5/256

Abstract:

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.