Article ID Journal Published Year Pages File Type
558128 Biomedical Signal Processing and Control 2014 6 Pages PDF
Abstract

•We investigate respiratory mechanics in diagnosed patients with cystic fibrosis (not many works available in literature on this specific group, so it has a high incidence).•We proposed to look at the nonlinear distortions coming from the respiratory tissue (as opposed to the ‘classical’ approach of looking into linear effects only).•We find that the proposed index is able to classify and ‘see’ the differrences with healthy respiratory tissue (a novel discovery).

When a nonlinear biological system is under analysis, one may employ linear and nonlinear tools. Linear tools such as fractional order impedance models have not been previously employed to characterize difference between healthy volunteers and patients diagnosed with cystic fibrosis (CF). Nonlinear tools such as detection lines from nonlinear contributions in frequency domain have also not been employed previously on CF patient data. CF is an irreversible inflammatory disease, of genetic origin. The forced oscillation technique (FOT) is a non-invasive, simple lung function test suitable for this class of patients with breathing difficulties, since it does not require any special maneuvre. In this work we bring additional evidence that the FOT method combined with both linear and nonlinear tools reveals important information which may be used as complementary to the standardized lung function tests.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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