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Systems and methods for monitoring fetal wellbeing

A fetal, healthy technology, applied in the direction of application, use of spectral diagnosis, diagnostic recording/measurement, etc., can solve the problems of lack of signal processing and machine learning technology, lack of optimal settings, etc.

Active Publication Date: 2020-01-03
BLOOM TECH NV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, many of these self-managing wearable sensors lack optimal settings and lack signal processing and machine learning techniques for detecting fetal movement and fHR

Method used

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  • Systems and methods for monitoring fetal wellbeing
  • Systems and methods for monitoring fetal wellbeing
  • Systems and methods for monitoring fetal wellbeing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 100

[0122] Such as Figure 9 As shown, the computer-implemented method 100 of one embodiment for longitudinally monitoring fetal health during pregnancy comprises: acquiring a signal from a sensor S110; processing the signal to identify and extract a parameter of interest from the signal S120; and analyzing the parameter of interest to Determining the health status of the fetus S130. The method is used to monitor and / or determine fetal health over time. In some embodiments, the method is used to combine the parameter of interest with the fetal health index ( Figure 11 ) or individualized or population-level fetal health trends ( Figure 9 ) for comparison to determine fetal health. The methods are used in the field of maternal and / or fetal health, but may additionally or alternatively be used in any suitable application, clinical or otherwise.

[0123] In some embodiments, the time span of fetal health may be within a time interval of several seconds, such as an interval of l...

Embodiment approach 200

[0141] Such as Figure 10 As shown, the computer-implemented method 200 of one embodiment for longitudinally monitoring fetal health during pregnancy comprises: acquiring a signal from a sensor S210; processing the signal to identify and extract a parameter of interest from the signal S220; comparing the parameter of interest with a threshold performing a comparison S230; and determining the fetal health degree S230. The method is for determining fetal health using thresholding.

[0142] Such as Figure 10 As shown, the computer-implemented method 200 for longitudinally monitoring fetal health during pregnancy optionally includes blocks S230 and S240, which recite, respectively: comparing a parameter of interest to a threshold; and determining a degree of fetal health. The thresholds may be based on historical medical data, community data, personal data, or other empirical data. In some variants, if the parameter of interest is above a threshold, there is a higher probabili...

Embodiment approach 300

[0145] Such as Figure 11 As shown, the computer-implemented method 300 of one embodiment for longitudinally monitoring fetal health during pregnancy comprises: acquiring signals from sensors S310; processing the signals to identify and extract parameters of interest from the signals S320; Level tracking a plurality of parameters of interest over time S330; optionally forming a fetal health index based on the tracked parameters of interest S340; optionally comparing the extracted parameters of interest with the fetal health index to determine a degree of fetal health S350 . The method is used to determine fetal health by comparing one or more parameters of interest to population level data, community data, historical data, predictive data, empirical data, or any other available data. For example, as represented by block S330, one or more parameters of interest are tracked over time in a population, community, group of mothers, and / or any other setting to form, generate, or ot...

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PUM

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Abstract

A system for monitoring fetal wellbeing over time during pregnancy includes a sensor coupled to a pregnant woman; a processor communicatively coupled to the sensor; and a computer-readable medium having non-transitory, processor-executable instructions stored thereon. Execution of the instructions causes the processor to perform a method including: acquiring a signal from a sensor; processing thesignal to identify and extract a parameter of interest from the signal; and analyzing the parameter of interest to determine a degree of fetal wellbeing. The parameter of interest may include one or more of: an average fetal heart rate, an average fetal heart rate variability, a fetal kick or movement count, an average placental oxygenation level, an average placental temperature, an average placental pH, an average amount of amniotic fluid, a fetal heart rate profile, a fetal heart rate variability profile, and a fetal movement profile.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority to U.S. Provisional Application Serial No. 62 / 506,074, filed May 15, 2017, entitled "System and Methods for Monitoring Fetal Wellbeing," the entirety of which The contents are incorporated herein by reference. technical field [0003] The present invention relates generally to the field of fetal health, and more particularly to novel and useful systems and methods for monitoring fetal health. Background technique [0004] During pregnancy, the ability of an expecting mother to accurately monitor the health of her baby is critical to detecting and potentially treating adverse conditions early on. To date, there are no devices or systems that allow expectant mothers to track their baby's health / wellbeing over time during pregnancy while going about their daily activities or in the comfort of their own home. Such devices and / or systems are intended for use by clinical spe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0444A61B5/344
CPCA61B5/7264A61B5/746A61B2503/02A61B5/344A61B5/0075A61B5/0082A61B5/02055A61B5/02405A61B5/02411A61B5/053A61B5/08A61B5/11A61B5/14539A61B5/14542A61B5/1477A61B5/4362A61B5/6833A61B5/7267A61B5/7275A61B5/7282A61B7/04A61B8/0866
Inventor J·彭德斯E·迪M·阿尔蒂尼
Owner BLOOM TECH NV
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