Code
01D15919
Duration
01 December 2019 → 30 September 2023
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Engineering and technology
- Control systems, robotics and automation not elsewhere classified
- Biomedical modelling
- Biomedical signal processing
Keywords
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.