[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kretschmer et al., 2013 - Google Patents

Predicting etCO2 response in a model of ventilation-perfusion mismatch

Kretschmer et al., 2013

View PDF
Document ID
4327498355316604157
Author
Kretschmer J
Riedlinger A
Möller K
Publication year
Publication venue
Biomedical Engineering/Biomedizinische Technik

External Links

Snippet

Mathematical models are a popular tool to simulate physiological processes in the human body. This ability can be exploited to predict patient response towards changes in the therapy regime. Results of these predictions might be exploited for medical decision support …
Continue reading at www.degruyter.com (PDF) (other versions)

Classifications

    • 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
    • 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
    • A61M2230/00—Measuring parameters of the user
    • A61M2230/40—Respiratory characteristics
    • A61M2230/43—Composition of exhalation
    • A61M2230/432—Composition of exhalation partial CO2 pressure (P-CO2)
    • 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
    • A61M2230/00—Measuring parameters of the user
    • A61M2230/40—Respiratory characteristics
    • A61M2230/43—Composition of exhalation
    • A61M2230/435—Composition of exhalation partial O2 pressure (P-O2)

Similar Documents

Publication Publication Date Title
US20200327993A1 (en) Mechanical ventilation system for respiration with decision support
Rees et al. Using physiological models and decision theory for selecting appropriate ventilator settings
Robbins et al. A prediction-correction scheme for forcing alveolar gases along certain time courses
US6921267B2 (en) Lung simulator for an integrated human patient simulator
CA2818963C (en) The automatic lung parameter estimator for measuring oxygen and carbon dioxide gas exchange
CA2835455C (en) Physical lung model to simulate organ function in health and disease
US11020551B2 (en) System and a corresponding method for estimating respiratory drive of mechanically ventilated patients
SE1230100A1 (en) System for optimal mechanical ventilation
US20240339210A1 (en) Intelligent medical monitoring of a patient
Kretschmer et al. Predicting etCO2 response in a model of ventilation-perfusion mismatch
Kretschmer et al. A simple gas exchange model predicting arterial oxygen content for various FiO 2 levels
Larraza et al. A mathematical model for simulating respiratory control during support ventilation modes
Kretschmer et al. A Family of Physiological Models to Simulate Human Gas Exchange
Riedlinger et al. Hierarchical structure of human gas exchange models to improve parameter identification
Kretschmer et al. A mathematical model of gas exchange predicting CO2 response to respiratory rate changes
Mistry et al. A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settings
Riedlinger et al. Robustness analysis of a mathematical gas exchange model
Miyamoto System physiology of respiratory control in man
Kretschmer et al. Time course of etCO 2 response to alterations in respiration rate predicted by a mathematical model of human gas exchange
Kretschmer et al. A hierarchical model family of human gas exchange for the use in medical decision support
Kretschmer et al. Medical decision support in mechanical ventilation employing combined model information of gas exchange and respiratory mechanics
Lohse et al. ROBUST CONTROL OF OXYGEN SATURATION DURING MECHANICAL VENTILATION
Dyachenko et al. Experimental and theoretical studies of human hypercapnic ventilatory response with the use of mathematical modeling of gas exchange
Gólczewski et al. Influence of ventilation mode on blood oxygenation-Investigation with Polish Virtual Lungs and Italian model of circulation
Riedlinger et al. Hierarchical Identification Process of a Two-Parameter Gas Exchange Model