| 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 | 166 | 2007 |
| An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: application to 24h Holter recordings in healthy … A Porta, L Faes, M Masé, G D’addio, GD Pinna, R Maestri, N Montano, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 17 (1), 2007 | 143 | 2007 |
| 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, 133-140, 2016 | 79 | 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 | 68 | 2019 |
| 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 | 67 | 2009 |
| Machine learning to predict mortality after rehabilitation among patients with severe stroke D Scrutinio, C Ricciardi, L Donisi, E Losavio, P Battista, P Guida, ... Scientific reports 10 (1), 20127, 2020 | 51 | 2020 |
| 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 13, 114, 2020 | 51 | 2020 |
| An application of symbolic dynamics for FHRV assessment. M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio MIE, 123-127, 2012 | 50 | 2012 |
| 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 | 48 | 2004 |
| 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 XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 43 | 2020 |
| 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 | 43 | 1998 |
| Agreement between opal and G-walk wearable inertial systems in gait analysis on normal and pathological subjects G D’Addio, L Donisi, G Pagano, G Improta, A Biancardi, M Cesarelli 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 40 | 2019 |
| 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 | 39 | 2014 |
| Classifying different stages of Parkinson’s disease through random forests C Ricciardi, M Amboni, C De Santis, G Ricciardelli, G Improta, ... XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 38 | 2020 |
| Prognostic decision support using symbolic dynamics in CTG monitoring. M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio EFMI-STC 186, 140-144, 2013 | 38 | 2013 |
| Work-related risk assessment according to the revised NIOSH lifting equation: A preliminary study using a wearable inertial sensor and machine learning L Donisi, G Cesarelli, A Coccia, M Panigazzi, EM Capodaglio, G D’Addio Sensors 21 (8), 2593, 2021 | 37 | 2021 |
| Feasibility of machine learning in predicting features related to congenital nystagmus G D’Addio, C Ricciardi, G Improta, P Bifulco, M Cesarelli XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 36 | 2020 |
| Benchmarking between two wearable inertial systems for gait analysis based on a different sensor placement using several statistical approaches L Donisi, G Pagano, G Cesarelli, A Coccia, F Amitrano, G D'Addio Measurement 173, 108642, 2021 | 33 | 2021 |
| 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 |
| 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 | 32 | 2009 |
Luigi IupparielloPhD - A.O.R.N. Santobono PausiliponVerified email at unina.it
