Full list of publications

see also my Google Scholar profile or my Scopus profile

Published - Book Chapters (back to publications)

H Azami, L Faes, J Escudero, A Humeau-Heurtier, LEV Silva: 'Entropy analysis of univariate biomedical signals: review and comparison of methods', in Frontiers in Entropy Across the Disciplines, W Freeden and MZ Nahes (Eds), World Scientific Publishing, 2022, pp. 233-286. ISBN: 978-981-125-939-5. DOI: 10.1142/12920 - submitted preprint

L Faes, G Nollo, A Porta: 'Information decomposition: a tool to break down cardiovascular and cardiorespiratory  complexity', Complexity and Nonlinearity in Cardiovascular Signals, R Barbieri, EP Scilingo, G Valenza, (eds), Springer; 2017, pp.87-113; ISBN: 978-3-319-58708-0; DOI: 10.1007/978-3-319-58709-7

A Porta, L Faes, G Nollo, ACM Takahashi, AM Catai: 'Influences of aging on cardiovascular control evaluated through a model-free approach to the assessment of complexity and causality', in ECG Time Series Variability Analysis: Engineering and Medicine; H Jelinek, D Conforth, A Khandoker, (eds), CRC Press; 2017, pp. 117-140; ISBN: 978-1-4822-4347-5; DOI: 10.1201/9781315372921.

L Faes, 'Assessing connectivity in the presence of instantaneous causality', in Methods in Brain Connectivity Inference through Multivariate Time Series Analysis; L Baccalà, K Sameshima (eds); CRC press, Taylor and Francis; 2014, pp. 87-112. ISBN: 9781439845721.

L Faes, A Porta, 'Conditional entropy-based evaluation of information dynamics in physiological systems', in Directed Information Measures in Neuroscience, R Vicente, M Wibral, J Lizier (eds), Springer-Verlag; 2014, pp. 61-86; ISBN: 978-3-642-54473-6; DOI: 10.1007/978-3-642-54474-3.

L Faes, G Nollo, 'Multivariate frequency domain analysis of causal interactions in physiological time series', in Biomedical Engineering, Trends in Electronics, Communications and Software; AN Laskovski (ed); INTECH, 2011; pp. 403-428. ISBN: 978-953-307-475-7.

F Ravelli, L Faes, V Corino, L Mainardi: 'Organization measures of atrial activity during fibrillation', in Understanding Atrial Fibrillation. The Signal Processing Contribution; L Mainardi, L Sornmo, S Cerutti (eds); Morgan & Claypool, 2008; pp. 127-150.