Kretschmer et al., 2014 - Google Patents
Medical decision support in mechanical ventilation employing combined model information of gas exchange and respiratory mechanicsKretschmer et al., 2014
View PDF- Document ID
- 12073313922555040374
- Author
- Kretschmer J
- Riedlinger A
- Schranz C
- Möller K
- Publication year
- Publication venue
- IFAC Proceedings Volumes
External Links
Snippet
Mechanical ventilation has become a routine therapy that is mostly applied in critical clinical conditions. It allows a patient to overcome the physiological impact of trauma, critical illness or surgeries by providing sufficient oxygenation and carbon dioxide removal. Though being …
- 238000005399 mechanical ventilation 0 title abstract description 8
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
- G06F19/3406—Local monitoring or local control of medical devices, e.g. configuration parameters, graphical user interfaces [GUI] or dedicated hardware interfaces
-
- 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
- G06F19/3481—Computer-assisted prescription or delivery of treatment by physical action, e.g. surgery or physical exercise
-
- 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
-
- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/083—Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption
-
- 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
- G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
-
- 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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
-
- 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
- A61B5/48—Other medical applications
-
- 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
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
- G09B23/28—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rees et al. | Using physiological models and decision theory for selecting appropriate ventilator settings | |
US20200327993A1 (en) | Mechanical ventilation system for respiration with decision support | |
US10390711B2 (en) | Automatic lung parameter estimator for measuring oxygen and carbon dioxide gas exchange | |
Karbing et al. | Minimal model quantification of pulmonary gas exchange in intensive care patients | |
Das et al. | Optimization of mechanical ventilator settings for pulmonary disease states | |
Conover et al. | An interactive simulation tool for patient-specific clinical decision support in single-ventricle physiology | |
EP3003443B1 (en) | A system and a corresponding method for estimating respiratory drive of mechanically ventilated patients | |
Ordonez et al. | Visualization of multivariate time-series data in a neonatal ICU | |
Ang et al. | Virtual patient framework for the testing of mechanical ventilation airway pressure and flow settings protocol | |
Lozano-Zahonero et al. | Automated mechanical ventilation: adapting decision making to different disease states | |
Kretschmer et al. | A simple gas exchange model predicting arterial oxygen content for various FiO 2 levels | |
Kretschmer et al. | Medical decision support in mechanical ventilation employing combined model information of gas exchange and respiratory mechanics | |
US20200411178A1 (en) | Intelligent medical monitoring of a patient | |
Larraza et al. | A mathematical model for simulating respiratory control during support ventilation modes | |
Wang et al. | Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model | |
Rudowski et al. | Current status of mechanical ventilation decision support systems: a review | |
Farr et al. | Representation of preferences in decision-support systems | |
Rees et al. | The intelligent ventilator project: Application of physiological models in decision support | |
Riedlinger et al. | On the practical identifiability of a two-parameter model of pulmonary gas exchange | |
Kretschmer et al. | Predicting etCO2 response in a model of ventilation-perfusion mismatch | |
Kretschmer et al. | A Modular Patient Simulator for Evaluation of Decision Support Algorithms in Mechanically Ventilated Patients | |
Riedlinger et al. | Hierarchical structure of human gas exchange models to improve parameter identification | |
Indera-Putera et al. | Blood gas predictions for patients under artificial ventilation using fuzzy logic models | |
Farr et al. | Representation of preferences in decision-support systems. | |
Kretschmer et al. | A mathematical model of gas exchange predicting CO2 response to respiratory rate changes |