KR20230170655A - 식후 혈당 레벨 예측을 위한 방법 및 수단 - Google Patents
식후 혈당 레벨 예측을 위한 방법 및 수단 Download PDFInfo
- Publication number
- KR20230170655A KR20230170655A KR1020237033060A KR20237033060A KR20230170655A KR 20230170655 A KR20230170655 A KR 20230170655A KR 1020237033060 A KR1020237033060 A KR 1020237033060A KR 20237033060 A KR20237033060 A KR 20237033060A KR 20230170655 A KR20230170655 A KR 20230170655A
- Authority
- KR
- South Korea
- Prior art keywords
- data
- blood sugar
- data set
- medical data
- medical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000008280 blood Substances 0.000 title claims abstract description 162
- 210000004369 blood Anatomy 0.000 title claims abstract description 162
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000000291 postprandial effect Effects 0.000 title claims abstract description 15
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims abstract description 99
- 239000008103 glucose Substances 0.000 claims abstract description 99
- 230000036962 time dependent Effects 0.000 claims abstract description 20
- NOESYZHRGYRDHS-UHFFFAOYSA-N insulin Chemical compound N1C(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(NC(=O)CN)C(C)CC)CSSCC(C(NC(CO)C(=O)NC(CC(C)C)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CCC(N)=O)C(=O)NC(CC(C)C)C(=O)NC(CCC(O)=O)C(=O)NC(CC(N)=O)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CSSCC(NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2C=CC(O)=CC=2)NC(=O)C(CC(C)C)NC(=O)C(C)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2NC=NC=2)NC(=O)C(CO)NC(=O)CNC2=O)C(=O)NCC(=O)NC(CCC(O)=O)C(=O)NC(CCCNC(N)=N)C(=O)NCC(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC(O)=CC=3)C(=O)NC(C(C)O)C(=O)N3C(CCC3)C(=O)NC(CCCCN)C(=O)NC(C)C(O)=O)C(=O)NC(CC(N)=O)C(O)=O)=O)NC(=O)C(C(C)CC)NC(=O)C(CO)NC(=O)C(C(C)O)NC(=O)C1CSSCC2NC(=O)C(CC(C)C)NC(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(N)CC=1C=CC=CC=1)C(C)C)CC1=CN=CN1 NOESYZHRGYRDHS-UHFFFAOYSA-N 0.000 claims description 126
- 229940125396 insulin Drugs 0.000 claims description 64
- 102000004877 Insulin Human genes 0.000 claims description 62
- 108090001061 Insulin Proteins 0.000 claims description 62
- 238000012544 monitoring process Methods 0.000 claims description 32
- 150000001720 carbohydrates Chemical class 0.000 claims description 27
- 235000014633 carbohydrates Nutrition 0.000 claims description 27
- 235000012054 meals Nutrition 0.000 claims description 25
- 238000002347 injection Methods 0.000 claims description 10
- 239000007924 injection Substances 0.000 claims description 10
- 238000012549 training Methods 0.000 claims description 6
- 229940079593 drug Drugs 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 5
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000002483 medication Methods 0.000 claims description 4
- 238000007619 statistical method Methods 0.000 claims description 3
- 238000013459 approach Methods 0.000 description 8
- 239000012491 analyte Substances 0.000 description 6
- 230000002547 anomalous effect Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 239000013598 vector Substances 0.000 description 5
- 235000021152 breakfast Nutrition 0.000 description 4
- 210000003722 extracellular fluid Anatomy 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000000875 corresponding effect Effects 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 208000013016 Hypoglycemia Diseases 0.000 description 2
- 206010022489 Insulin Resistance Diseases 0.000 description 2
- 206010067584 Type 1 diabetes mellitus Diseases 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 230000037213 diet Effects 0.000 description 2
- 235000018823 dietary intake Nutrition 0.000 description 2
- 230000002641 glycemic effect Effects 0.000 description 2
- 230000003054 hormonal effect Effects 0.000 description 2
- 230000002218 hypoglycaemic effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 238000010845 search algorithm Methods 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 102000001554 Hemoglobins Human genes 0.000 description 1
- 108010054147 Hemoglobins Proteins 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 235000021074 carbohydrate intake Nutrition 0.000 description 1
- 230000002844 continuous effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000037406 food intake Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 229940088597 hormone Drugs 0.000 description 1
- 239000005556 hormone Substances 0.000 description 1
- 201000001421 hyperglycemia Diseases 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 210000000496 pancreas Anatomy 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000002922 simulated annealing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- -1 that is Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/142—Pressure infusion, e.g. using pumps
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/33—Controlling, regulating or measuring
- A61M2205/3331—Pressure; Flow
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Anesthesiology (AREA)
- Business, Economics & Management (AREA)
- Heart & Thoracic Surgery (AREA)
- Hematology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Vascular Medicine (AREA)
- General Business, Economics & Management (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Steroid Compounds (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP21168362.8 | 2021-04-14 | ||
| EP21168362.8A EP4075444A1 (en) | 2021-04-14 | 2021-04-14 | Method and means for postprandial blood glucose level prediction |
| PCT/EP2022/059871 WO2022219042A1 (en) | 2021-04-14 | 2022-04-13 | Method and means for postprandial blood glucose level prediction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230170655A true KR20230170655A (ko) | 2023-12-19 |
Family
ID=75529870
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020237033060A Pending KR20230170655A (ko) | 2021-04-14 | 2022-04-13 | 식후 혈당 레벨 예측을 위한 방법 및 수단 |
Country Status (12)
| Country | Link |
|---|---|
| US (1) | US20240033419A1 (https=) |
| EP (1) | EP4075444A1 (https=) |
| JP (1) | JP2024513607A (https=) |
| KR (1) | KR20230170655A (https=) |
| CN (1) | CN117280423A (https=) |
| AR (1) | AR125681A1 (https=) |
| AU (1) | AU2022258659A1 (https=) |
| BR (1) | BR112023021043A2 (https=) |
| CA (1) | CA3212878A1 (https=) |
| IL (1) | IL306089A (https=) |
| MX (1) | MX2023011404A (https=) |
| WO (1) | WO2022219042A1 (https=) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102771712B1 (ko) * | 2024-03-18 | 2025-02-24 | 주식회사 유투메드텍 | 식후 혈당변화 예측 방법 및 시스템 |
| KR102835464B1 (ko) * | 2024-08-27 | 2025-07-21 | 에이치앤비지노믹스 주식회사 | 입원 환자의 데이터 보호 및 안전성이 강화된 인퓨전 딜리버리 시스템 및 이의 동작 방법 |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116504355B (zh) * | 2023-04-27 | 2024-04-02 | 广东食品药品职业学院 | 基于神经网络闭环胰岛素输注控制方法、装置及存储介质 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8597274B2 (en) * | 2009-05-22 | 2013-12-03 | Abbott Diabetes Care Inc. | Usability features for integrated insulin delivery system |
| JP5728767B2 (ja) * | 2009-09-30 | 2015-06-03 | ドリームド・ダイアベティス・リミテッド | インスリン送達の管理のための監視システム、方法、およびコンピュータプログラム |
| US10646650B2 (en) * | 2015-06-02 | 2020-05-12 | Illinois Institute Of Technology | Multivariable artificial pancreas method and system |
| US12161463B2 (en) * | 2017-06-09 | 2024-12-10 | President And Fellows Of Harvard College | Prevention of post-bariatric hypoglycemia using a novel glucose prediction algorithm and mini-dose stable glucagon |
| EP3844782B1 (en) * | 2018-08-31 | 2022-07-13 | Novo Nordisk A/S | Retrospective horizon based insulin dose prediction |
| WO2020120571A1 (en) * | 2018-12-14 | 2020-06-18 | Novo Nordisk A/S | Blod glucose data set optimization for improved hypoglycemia prediction based on machine learning implementation ingestion |
| EP3902469B1 (en) * | 2018-12-28 | 2024-07-03 | Dexcom, Inc. | Evaluation and visualization of glycemic dysfunction |
| WO2020243576A1 (en) * | 2019-05-31 | 2020-12-03 | Ydo Wexler | Systems for biomonitoring and blood glucose forecasting, and associated methods |
-
2021
- 2021-04-14 EP EP21168362.8A patent/EP4075444A1/en active Pending
-
2022
- 2022-04-12 AR ARP220100920A patent/AR125681A1/es unknown
- 2022-04-13 KR KR1020237033060A patent/KR20230170655A/ko active Pending
- 2022-04-13 BR BR112023021043A patent/BR112023021043A2/pt unknown
- 2022-04-13 CN CN202280028442.XA patent/CN117280423A/zh active Pending
- 2022-04-13 JP JP2023563093A patent/JP2024513607A/ja active Pending
- 2022-04-13 MX MX2023011404A patent/MX2023011404A/es unknown
- 2022-04-13 CA CA3212878A patent/CA3212878A1/en active Pending
- 2022-04-13 AU AU2022258659A patent/AU2022258659A1/en not_active Abandoned
- 2022-04-13 WO PCT/EP2022/059871 patent/WO2022219042A1/en not_active Ceased
- 2022-04-13 IL IL306089A patent/IL306089A/en unknown
-
2023
- 2023-10-13 US US18/486,255 patent/US20240033419A1/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102771712B1 (ko) * | 2024-03-18 | 2025-02-24 | 주식회사 유투메드텍 | 식후 혈당변화 예측 방법 및 시스템 |
| KR102835464B1 (ko) * | 2024-08-27 | 2025-07-21 | 에이치앤비지노믹스 주식회사 | 입원 환자의 데이터 보호 및 안전성이 강화된 인퓨전 딜리버리 시스템 및 이의 동작 방법 |
Also Published As
| Publication number | Publication date |
|---|---|
| MX2023011404A (es) | 2023-10-13 |
| US20240033419A1 (en) | 2024-02-01 |
| BR112023021043A2 (pt) | 2023-12-12 |
| CN117280423A (zh) | 2023-12-22 |
| IL306089A (en) | 2023-11-01 |
| AU2022258659A1 (en) | 2023-07-27 |
| JP2024513607A (ja) | 2024-03-26 |
| CA3212878A1 (en) | 2022-10-20 |
| AR125681A1 (es) | 2023-08-09 |
| WO2022219042A1 (en) | 2022-10-20 |
| EP4075444A1 (en) | 2022-10-19 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PA0105 | International application |
Patent event date: 20230925 Patent event code: PA01051R01D Comment text: International Patent Application |
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| PG1501 | Laying open of application | ||
| A201 | Request for examination | ||
| PA0201 | Request for examination |
Patent event code: PA02012R01D Patent event date: 20250411 Comment text: Request for Examination of Application |