[go: up one dir, main page]

Reiterer et al., 2016 - Google Patents

Identification of CGM time delays and implications for BG control in T1DM

Reiterer et al., 2016

Document ID
15775581687572140519
Author
Reiterer F
Polterauer P
Freckmann G
del Re L
Publication year
Publication venue
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016: MEDICON 2016, March 31st-April 2nd 2016, Paphos, Cyprus

External Links

Snippet

Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). However, one of the limitations of using CGM information for blood glucose (BG) control is the fact that the CGM sensor measures …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/3437Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/3456Computer-assisted prescription or delivery of medication, e.g. prescription filling or compliance checking
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/66Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood sugars, e.g. galactose
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-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
    • G06F19/3431Calculating a health index for the patient, e.g. for risk assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/487Physical analysis of biological material of liquid biological material
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate

Similar Documents

Publication Publication Date Title
US20240260866A1 (en) Accuracy of continuous glucose sensors
Pérez-Gandía et al. Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring
Guerra et al. Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach
US9351670B2 (en) Glycemic risk determination based on variability of glucose levels
EP2051620B1 (en) Method and device for monitoring a physiological parameter
EP2369980B1 (en) METHOD and SYSTEM FOR TRACKING OF BLOOD GLUCOSE VARIABILITY IN DIABETES
Spronck et al. 2024 recommendations for validation of noninvasive arterial pulse wave velocity measurement devices
Staal et al. Kalman smoothing for objective and automatic preprocessing of glucose data
Facchinetti et al. Reconstruction of glucose in plasma from interstitial fluid continuous glucose monitoring data: role of sensor calibration
Zhao et al. Statistical analysis based online sensor failure detection for continuous glucose monitoring in type I diabetes
Facchinetti et al. Enhanced accuracy of continuous glucose monitoring by online extended kalman filtering
Reiterer et al. Identification of CGM time delays and implications for BG control in T1DM
Vettoretti et al. Online calibration of glucose sensors from the measured current by a time-varying calibration function and Bayesian priors
Zhang et al. A data driven nonlinear stochastic model for blood glucose dynamics
Vettoretti et al. Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data
Khovanova et al. Characterisation of linear predictability and non-stationarity of subcutaneous glucose profiles
Breton et al. Analysis of the accuracy and performance of a continuous glucose monitoring sensor prototype: an in-silico study using the UVA/PADOVA type 1 diabetes simulator
Arora et al. Multivariate models of blood glucose prediction in type1 diabetes: A survey of the state-of-the-art
JP2023502075A (en) Integrated state estimate prediction that evaluates the difference between predicted data and corresponding received data
Emami et al. Enhancing glucose sensor models: modeling the drop-outs
Vettoretti et al. Predicting insulin treatment scenarios with the net effect method: domain of validity
Muñoz et al. The different methods of assessing glycemic variability, quality of glycemic control and glycemic risk cannot be interpreted as equivalent in clinical practice
Reiterer et al. Deviation analysis of clinical studies as tool to tune and assess performance of diabetes control algorithms
Clausen et al. A new stochastic approach for modeling glycemic disturbances in type 2 diabetes
Li et al. A predictive model incorporating the change detection and Winsorization methods for alerting hypoglycemia and hyperglycemia