IP Library › Granted Patent US 11,147,508
Granted Patent B2
US 11,147,508 · App. 16/182,851 · Granted Oct 19, 2021

Generating a maternal nutrition plan for pregnant women to prevent fetal chronic diseases

Inventors: Elezaveta Koumpan (Stoney Creek, CA); Vandana Pandey (Adambakkam, IN); Pamela A. Nesbitt (Ridgefield, CT)
Assignee: International Business Machines Corporation
A61B5/486A61B5/0011A61B5/4362G09B19/0092G16H20/60A61B2503/02A61B2560/0242
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Quick Facts
Patent No.
US 11,147,508
App. No.
16/182,851
Granted
Oct 19, 2021
Kind
B2
Abstract

Utilizing a computing device to generate a personalized maternal nutrition plan for a pregnant mother. The computing device receives real-time maternal physiological data, fetal physiological data, and real-time environmental data associated with the pregnant mother. A real-time relationship is established. The real-time relationship is compared with historically established relationships between pregnant mothers and fetuses. The maternal physiological data is compared with pre-pregnancy data of the pregnant mother. The computing device detects one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother. The computing device generates a maternal nutrition plan. A notification is generated by the computing device and outputted to one or more electronic devices associated with the pregnant mother and/or one or more physicians.

Claims (58)

1. A method for utilizing a computing device to generate a personalized maternal nutrition plan for a pregnant mother, the method comprising:

receiving by a computing device real-time maternal physiological data associated with a pregnant mother and real-time fetal physiological data from a fetus within the pregnant mother, wherein the real-time maternal physiological data is detected via a first sensor and comprises a maternal triglyceride level, and wherein the real-time fetal physiological data is detected via a second sensor and comprises a fetal triglyceride level;

receiving, by the computing device, real-time environmental data associated with the pregnant mother, wherein the real-time environmental data is detected via a third sensor and is selected from the group consisting of humidity and wind speed;

establishing by the computing device a real-time relationship between the maternal physiological data, the fetal physiological data, and the environmental data, wherein the real-time relationship comprises a triglyceride relationship of the maternal triglyceride level with respect to the fetal triglyceride level;

comparing the real-time established relationship with historically established relationships between pregnant mothers and fetuses;

comparing the maternal physiological data with pre-pregnancy data of the pregnant mother;

detecting by the computing device of one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother;

generating a maternal nutrition plan by the computing device based upon the one or more detected abnormalities, wherein the maternal nutrition plan comprises a list of nutrients in suggested amounts for the pregnant mother to intake and a schedule of when to consume the nutrients;

outputting the generated maternal nutrition plan and the detected one or more abnormalities to a first electronic device associated with the pregnant mother and to a second electronic device associated with a physician; and

presenting the maternal nutrition plan and the one or more abnormalities via the first electronic device and via the second electronic device.

2. The method of claim 1 , wherein the comparing the real-time established relationship with historically established relationships comprises:

accessing, by the computing device, a plurality of historically established relationships between pregnant mothers and fetuses; and

selecting, by the computing device, one or more historically established relationships with a highest degree of similarity to the established real-time relationship.

3. The method of claim 1 , wherein the one or more detected abnormalities comprise a quantitative deviation or a qualitative deviation from a preconfigured metric for a healthy person.

4. The method of claim 1 , wherein the detecting by the computing device of one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with the historically established relationships and upon the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother comprises:

determining if the historically established relationships display one or more associated abnormalities; and

determining if the pre-pregnancy data of the pregnant mother implies one or more abnormalities.

5. The method of claim 1 , wherein the generated maternal nutrition plan further comprises a list of elements for the pregnant mother to limit intake thereof.

6. The method of claim 1 , wherein the maternal nutrition plan is generated by the computing device on an hourly basis, a daily basis, a weekly basis, or a monthly basis.

7. A computer program product for generating a personalized maternal nutrition plan for a pregnant mother, the computer program product comprising:

one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media, the program instructions, when executed by a computing device, causing the computing device to perform a method comprising:

receiving real-time maternal physiological data associated with a pregnant mother and real-time fetal physiological data from a fetus within the pregnant mother, wherein the real-time maternal physiological data is detected via a first sensor and comprises a maternal triglyceride level, and wherein the real-time fetal physiological data is detected via a second sensor and comprises a fetal triglyceride level;

receiving real-time environmental data associated with the pregnant mother, wherein the real-time environmental data is detected via a third sensor and is selected from the group consisting of humidity and wind speed;

establishing a real-time relationship between the maternal physiological data, the fetal physiological data, and the environmental data, wherein the real-time relationship comprises a triglyceride relationship of the maternal triglyceride level with respect to the fetal triglyceride level;

comparing the real-time established relationship with historically established relationships between pregnant mothers and fetuses;

comparing the maternal physiological data with pre-pregnancy data of the pregnant mother;

detecting one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother;

generating a maternal nutrition plan based upon the one or more detected abnormalities, wherein the maternal nutrition plan comprises a list of nutrients in suggested amounts for the pregnant mother to intake and a schedule of when to consume the nutrients;

outputting the generated maternal nutrition plan and the detected one or more abnormalities to a first electronic device associated with the pregnant mother and to a second electronic device associated with a physician; and

presenting the maternal nutrition plan and the one or more abnormalities via the first electronic device and via the second electronic device.

8. The computer program product of claim 7 , wherein the comparing the real-time established relationship with historically established relationships comprises:

accessing a plurality of historically established relationships between pregnant mothers and fetuses; and

selecting one or more historically established relationships with a highest degree of similarity to the established real-time relationship.

9. The computer program product of claim 7 , wherein the one or more detected abnormalities comprise a quantitative deviation or a qualitative deviation from a preconfigured metric for a healthy person.

10. The computer program product of claim 7 , wherein the detecting of the one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with the historically established relationships and upon the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother comprises:

determining if the historically established relationships display one or more associated abnormalities; and

determining if the pre-pregnancy data of the pregnant mother implies one or more abnormalities.

11. The computer program product of claim 7 , wherein the generated maternal nutrition plan further comprises a list of elements for the pregnant mother to limit intake thereof.

12. The computer program product of claim 7 , wherein the maternal nutrition plan is generated by the computing device on an hourly basis, a daily basis, a weekly basis, or a monthly basis.

13. A computer system for generating a personalized maternal nutrition plan for a pregnant mother, the computer system comprising:

one or more computer processors, one or more computer-readable memories, one or more computer-readable storage media, a first sensor, a second sensor, a third sensor, and program instructions stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more processors to cause the computer system to perform a method comprising:

receiving real-time maternal physiological data associated with a pregnant mother and real-time fetal physiological data from a fetus within the pregnant mother, wherein the real-time maternal physiological data is detected via the first sensor and comprises a maternal triglyceride level, and wherein the real-time fetal physiological data is detected via the second sensor and comprises a fetal triglyceride level;

receiving real-time environmental data associated with the pregnant mother, wherein the real-time environmental data is detected via the third sensor and is selected from the group consisting of humidity and wind speed;

establishing a real-time relationship between the maternal physiological data, the fetal physiological data, and the environmental data, wherein the real-time relationship comprises a triglyceride relationship of the maternal triglyceride level with respect to the fetal triglyceride level;

comparing the real-time established relationship with historically established relationships between pregnant mothers and fetuses;

comparing the maternal physiological data with pre-pregnancy data of the pregnant mother;

detecting one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother;

generating a maternal nutrition plan based upon the one or more detected abnormalities, wherein the maternal nutrition plan comprises a list of nutrients in suggested amounts for the pregnant mother to intake and a schedule of when to consume the nutrients;

outputting the generated maternal nutrition plan and the detected one or more abnormalities to a first electronic device associated with the pregnant mother and to a second electronic device associated with a physician; and

presenting the maternal nutrition plan and the one or more abnormalities via the first electronic device and via the second electronic device.

14. The computer system of claim 13 , wherein the comparing the real-time established relationship with historically established relationships comprises:

accessing a plurality of historically established relationships between pregnant mothers and fetuses; and

selecting one or more historically established relationships with a highest degree of similarity to the established real-time relationship.

15. The computer system of claim 13 , wherein the one or more detected abnormalities comprise a quantitative deviation or a qualitative deviation from a preconfigured metric for a healthy person.

16. The computer system of claim 13 , wherein the detecting of the one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with the historically established relationships and upon the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother comprises:

determining if the historically established relationships display one or more associated abnormalities; and

determining if the pre-pregnancy data of the pregnant mother implies one or more abnormalities.

17. The computer system of claim 13 , wherein the generated maternal nutrition plan further comprises a list of elements for the pregnant mother to limit intake thereof.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 7, 2018
From: KOUMPAN, ELEZAVETA; PANDEY, VANDANA; NESBITT, PAMELA A.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 047877/0806 →
Continuity (1)
Related Publication 20200138362A1 · May 7, 2020