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 | 153 | 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 | 95 | 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 | 77 | 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 | 69 | 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 | 66 | 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 | 65 | 2020 |
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 | 62 | 2021 |
An application of symbolic dynamics for FHRV assessment M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio Quality of Life through Quality of Information, 123-127, 2012 | 52 | 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 | 51 | 2004 |
Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson’s Disease C Ricciardi, M Amboni, C De Santis, G Ricciardelli, G Improta, G D’Addio, ... 2020 IEEE International Symposium on Medical Measurements and Applications …, 2020 | 49 | 2020 |
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 | 49 | 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 XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 48 | 2020 |
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 | 46 | 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 | 46 | 1998 |
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 | 42 | 2014 |
Prognostic decision support using symbolic dynamics in CTG monitoring M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio Data and Knowledge for Medical Decision Support, 140-144, 2013 | 42 | 2013 |
Design and validation of an e-textile-based wearable sock for remote gait and postural assessment F Amitrano, A Coccia, C Ricciardi, L Donisi, G Cesarelli, EM Capodaglio, ... Sensors 20 (22), 6691, 2020 | 41 | 2020 |
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 | 38 | 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 | 37 | 2021 |