Nonlinear indices of heart rate variability in chronic heart failure patients: redundancy and comparative clinical value R Maestri, GD Pinna, A Accardo, P Allegrini, R Balocchi, G D'ADDIO, ...
Journal of cardiovascular electrophysiology 18 (4), 425-433, 2007
157 2007 An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to A Porta, L Faes, M Masé, G D’addio, GD Pinna, R Maestri, N Montano, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (1), 015117, 2007
138 2007 Assessment of cardiovascular regulation through irreversibility analysis of heart period variability: a 24 hours Holter study in healthy and chronic heart failure populations A Porta, G D'addio, T Bassani, R Maestri, GD Pinna
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2009
64 2009 Dietary protein intake in sarcopenic obese older women E Muscariello, G Nasti, M Siervo, M Di Maro, D Lapi, G D’Addio, ...
Clinical interventions in aging 11, 133, 2016
57 2016 Using gait analysis’ parameters to classify Parkinsonism: A data mining approach C Ricciardi, M Amboni, C De Santis, G Improta, G Volpe, L Iuppariello, ...
Computer methods and programs in biomedicine 180, 105033, 2019
45 2019 Testing the presence of non stationarities in short heart rate variability series A Porta, G D'addio, S Guzzetti, D Lucini, M Pagani
Computers in Cardiology, 2004, 645-648, 2004
43 2004 Reproducibility of short-and long-term poincare plot parameters compared with frequency-domain HRV indexes in congestive heart failure G D'addio, D Acanfora, GD Pinna, R Maestri, G Furgi, C Picone, F Rengo
Computers in Cardiology 1998. Vol. 25 (Cat. No. 98CH36292), 381-384, 1998
42 1998 Feasibility of machine learning in predicting features related to congenital nystagmus G D’Addio, C Ricciardi, G Improta, P Bifulco, M Cesarelli
Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019
36 2019 Efficacy of machine learning in predicting the kind of delivery by cardiotocography G Improta, C Ricciardi, F Amato, G D’Addio, M Cesarelli, M Romano
Mediterranean conference on medical and biological engineering and computing …, 2019
34 2019 An application of symbolic dynamics for FHRV assessment. M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio
MIE, 123-127, 2012
33 2012 In-time prognosis based on swarm intelligence for home-care monitoring: A case study on pulmonary disease P Arpaia, C Manna, G Montenero, G D'Addio
IEEE Sensors Journal 12 (3), 692-698, 2011
33 2011 Symbolic dynamic and frequency analysis in foetal monitoring M Romano, G D'Addio, F Clemente, AM Ponsiglione, G Improta, ...
2014 IEEE International Symposium on Medical Measurements and Applications …, 2014
32 2014 A piezoresistive array armband with reduced number of sensors for hand gesture recognition D Esposito, E Andreozzi, GD Gargiulo, A Fratini, G D’Addio, GR Naik, ...
Frontiers in Neurorobotics, 114, 2020
31 2020 Heart rate variability and drawing impairment in hypoxemic COPD RA Incalzi, A Corsonello, L Trojano, C Pedone, D Acanfora, A Spada, ...
Brain and cognition 70 (1), 163-170, 2009
30 2009 Comparison between clinical and instrumental assessing using Wii Fit system on balance control G D'Addio, L Iuppariello, F Gallo, P Bifulco, M Cesarelli, B Lanzillo
2014 IEEE International Symposium on Medical Measurements and Applications …, 2014
29 2014 Relationship between fractal dimension and power-law exponent of heart rate variability in normal and heart failure subjects M Cusenza, A Accardo, G D'Addio, G Corbi
2010 Computing in Cardiology, 935-938, 2010
29 2010 Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients R Maestri, GD Pinna, R Balocchi, G D'Addio, M Ferrario, A Porta, R Sassi, ...
Walter de Gruyter 51 (4), 220-223, 2006
29 2006 Symbolic analysis of 24h Holter heart period variability series: comparison between normal and heart failure patients A Porta, G D'Addio, GD Pinna, R Maestri, T Gnecchi-Ruscone, R Furlan, ...
Computers in Cardiology, 2005, 575-578, 2005
28 2005 Prognostic decision support using symbolic dynamics in CTG monitoring. M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio
EFMI-STC, 140-144, 2013
25 2013 Fractal behaviour of heart rate variability reflects severity in stroke patients G D'Addio, G Corbi, A Accardo, G Russo, N Ferrara, MC Mazzoleni, ...
Medical Informatics in a United and Healthy Europe, 794-798, 2009
25 2009 
Luigi IupparielloPhD - A.O.R.N. Santobono PausiliponEmail verificata su unina.it
