Can we make better use of routine physiological signals? Using maths to improve the sensitivity of detecting drug or disease-induced changes

Manasi Nandi1, Miquel Serna Pascual1 Maria Volovaya1, Yujia Wu1, Rebecca D’Cruz2, Philip Aston3, Carolyn Lam1,4, Aileen Milne4, Mary McElroy4

1School and Cancer and Pharmaceutical Sciences, King’s College London, Franklin Wilkins Building, 150 Stamford Street, London, U.K.

2Department of Mathematics, Centre for Mathematical and Computational Biology, University of Surrey, Guildford
Surrey U.K.

3Lane Fox Respiratory Unit, Guys and St Thomas’ NHS Foundation Trust, London, U.K

4Discovery Pharmacology and Toxicology, Charles River, Edinburgh, U.K


Symmetric Projection Attractor Reconstruction (SPAR) is a newly developed mathematical technique. It quantifies the shape and variability changes of cyclic waveforms by using all the available digital data, most of which is typically discarded during conventional analysis. We demonstrate the additive value of this technique in more sensitively quantifying lung function changes in a preclinical lung fibrosis model and in patients with COPD.

Key Message

SPAR quantifies morphology changes in respiratory waveforms, by using all the available digital data collected by physiological monitors. SPAR represents a disruptive technology which challenges how we quantify and monitor changes in lung function and lung health. Our data indicate SPAR can better characterise drug effects preclinically and provide earlier alerts for ensuing deterioration, in COPD patients.