Boiroux et al., 2016 - Google Patents
An ensemble nonlinear model predictive control algorithm in an artificial pancreas for people with type 1 diabetesBoiroux et al., 2016
- Document ID
- 12529758646861962989
- Author
- Boiroux D
- Hagdrup M
- Mahmoudi Z
- Poulsen K
- Madsen H
- Jørgensen J
- Publication year
- Publication venue
- 2016 european control conference (ecc)
External Links
Snippet
This paper presents a novel ensemble nonlinear model predictive control (NMPC) algorithm for glucose regulation in type 1 diabetes. In this approach, we consider a number of scenarios describing different uncertainties, for instance meals or metabolic variations. We …
- 206010067584 Type 1 diabetes mellitus 0 title abstract description 7
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3456—Computer-assisted prescription or delivery of medication, e.g. prescription filling or compliance checking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3431—Calculating a health index for the patient, e.g. for risk assessment
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
-
- 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
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters; Monitoring media flow to the body
- A61M5/172—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters; Monitoring media flow to the body electrical or electronic
- A61M5/1723—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters; Monitoring media flow to the body electrical or electronic using feedback of body parameters, e.g. blood-sugar, pressure
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Percival et al. | Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters | |
Turksoy et al. | Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement | |
Boiroux et al. | Adaptive control in an artificial pancreas for people with type 1 diabetes | |
Boiroux et al. | An ensemble nonlinear model predictive control algorithm in an artificial pancreas for people with type 1 diabetes | |
Hajizadeh et al. | Plasma-insulin-cognizant adaptive model predictive control for artificial pancreas systems | |
Eren-Oruklu et al. | Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes | |
Parker et al. | A model-based algorithm for blood glucose control in type I diabetic patients | |
Turksoy et al. | Adaptive Control of Artificial Pancreas Systems‐A Review | |
Magni et al. | Model predictive control of glucose concentration in type I diabetic patients: An in silico trial | |
JP2012519018A (en) | Method and system for automatically monitoring diabetes related therapy | |
WO2014202233A1 (en) | Method and control device for controlling the administration of insulin to a patient | |
Boiroux et al. | Overnight control of blood glucose in people with type 1 diabetes | |
Leon et al. | Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients | |
Hughes et al. | Anticipating the next meal using meal behavioral profiles: A hybrid model-based stochastic predictive control algorithm for T1DM | |
Bátora et al. | The contribution of glucagon in an artificial pancreas for people with type 1 diabetes | |
Boiroux et al. | Nonlinear model predictive control and artificial pancreas technologies | |
Hajizadeh et al. | Integrating compartment models with recursive system identification | |
Boiroux et al. | Assessment of model predictive and adaptive glucose control strategies for people with type 1 diabetes | |
Batora et al. | Bihormonal control of blood glucose in people with type 1 diabetes | |
Batora et al. | Bihormonal model predictive control of blood glucose in people with type 1 diabetes | |
Boiroux | Model predictive control algorithms for pen and pump insulin administration | |
Reenberg et al. | High-performance uncertainty quantification in large-scale virtual clinical trials of closed-loop diabetes treatment | |
Boiroux et al. | A bolus calculator based on continuous-discrete unscented Kalman filtering for type 1 diabetics | |
Van Herpe et al. | The application of model predictive control to normalize glycemia of critically ill patients | |
Mirzaee et al. | Optimal impulsive blood glucose control through multiple injections |