Personalized therapy for lung cancer patients using respiratory impedance models

01 December 2019 → Ongoing
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Control systems, robotics and automation not elsewhere classified
    • Biomedical modelling
    • Biomedical signal processing
Fractional order impedance model respiratory impedance tumor growth lung cancer forced oscillation technique
Project description

This project proposes a general identification framework in cancer patients based on modeling of tumor growth and respiratory impedance for further prediction of an individualized lung cancer therapy (with prospective results in prediction of radiation-induced toxicity). The hypothesis is that forced oscillation technique can provide useful information about the respiratory function in lung cancer patients before and after therapy.