Julien Penders,Michiel Rooijakkers,Marco Altini,Eric Dy
申请号：
US16665569
公开号：
US20200107771A1
申请日:
2019.10.28
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Described herein are methods for identifying a labor state in a pregnant female, including: receiving an input indicating a gestational age； acquiring a physiological signal； processing the physiological signal to extract a parameter of interest； and feeding the parameter of interest into a machine learning model. The machine learning model is configured to: determine a first labor probability based on the parameter of interest, determine a second labor probability based on the parameter of interest or a second parameter of interest and the gestational age, and classify the labor state of the pregnant female based on the first and second labor probability.
