A novel estimation methodology for tracheal pressure in mechanical ventilation control

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Milos Ajcevic and Andrea {De Lorenzo} and 
                 Agostino Accardo and Alberto Bartoli and Eric Medvet",
  booktitle =    "8th International Symposium on Image and Signal
                 Processing and Analysis (ISPA 2013)",
  title =        "A novel estimation methodology for tracheal pressure
                 in mechanical ventilation control",
  year =         "2013",
  month =        "4-6 " # sep,
  address =      "Trieste, Italy",
  pages =        "695--699",
  keywords =     "genetic algorithms, genetic programming, biomechanics,
                 biomedical electronics, biomedical equipment, diseases,
                 injuries, medical control systems, patient treatment,
                 physiological models, air flow pressure, air flow
                 properties, barotrauma, endotracheal tubes, estimation
                 methodology, high-frequency percussive ventilation,
                 mechanical ventilation control, nonconventional
                 mechanical ventilatory strategy, pathological
                 conditions, patient airway, patient treatment,
                 state-of-the-art baseline models, tracheal pressure,
                 ventilator circuit, volutrauma, Electron tubes, Lungs,
                 Physiology, Pressure measurement, Testing,
  DOI =          "doi:10.1109/ISPA.2013.6703827",
  size =         "5 pages",
  abstract =     "High-frequency percussive ventilation (HFPV) is a
                 non-conventional mechanical ventilatory strategy which
                 has proved useful in the treatment of a number of
                 pathological conditions. HFPV usually involves the
                 usage of endotracheal tubes (EET) connecting the
                 ventilator circuit to the airway of the patient. The
                 pressure of the air flow insufflated by HFPV must be
                 controlled very accurately in order to avoid barotrauma
                 and volutrauma. Since the actual tracheal pressure
                 cannot be measured, a model for estimating such a
                 pressure based on the EET properties and on the air
                 flow properties that can actually be measured in
                 clinical practice is necessary. In this work we propose
                 a novel methodology, based on Genetic Programming, for
                 synthesising such a model. We experimentally evaluated
                 our models against the state-of-the-art baseline
                 models, crafted by human experts, and found that our
                 models for estimating tracheal pressure are
                 significantly more accurate.",
  notes =        "Also known as \cite{6703827}",

Genetic Programming entries for Milos Ajcevic Andrea De Lorenzo Agostino Accardo Alberto Bartoli Eric Medvet