Παρακολούθηση
Giovanni D'Addio
Giovanni D'Addio
Resp. Servizio di Bioingegneria, Fondazione Maugeri IRCCS, Istituto di Telese Terme
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα fsm.it
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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
1672007
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
1472007
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
862016
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
702019
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
692009
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
592020
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
572020
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
522004
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
502021
An application of symbolic dynamics for FHRV assessment.
M Cesarelli, M Romano, P Bifulco, G Improta, G D'Addio
MIE, 123-127, 2012
502012
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
472020
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
451998
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
412020
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
412019
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
412014
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
392020
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
382020
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
382013
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
372020
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
362021
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