Massimo Walter Rivolta
Citata da
Citata da
A new benchmark on american sign language recognition using convolutional neural network
MM Rahman, MS Islam, MH Rahman, R Sassi, MW Rivolta, ...
2019 International Conference on Sustainable Technologies for Industry 4.0 …, 2019
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ...
Artificial intelligence in medicine 95, 38-47, 2019
Parameters influence on acceleration and deceleration capacity based on trans-abdominal ECG in early fetal growth restriction at different gestational age epochs
T Stampalija, D Casati, M Montico, R Sassi, MW Rivolta, V Maggi, A Bauer, ...
European Journal of Obstetrics & Gynecology and Reproductive Biology 188 …, 2015
Brain sparing effect in growth‐restricted fetuses is associated with decreased cardiac acceleration and deceleration capacities: a case–control study
T Stampalija, D Casati, L Monasta, R Sassi, MW Rivolta, ML Muggiasca, ...
BJOG: An International Journal of Obstetrics & Gynaecology 123 (12), 1947-1954, 2016
Pilot test of a new personal health system integrating environmental and wearable sensors for telemonitoring and care of elderly people at home (SMARTA project)
L Pigini, G Bovi, C Panzarino, V Gower, M Ferratini, G Andreoni, R Sassi, ...
Gerontology 63 (3), 281-286, 2017
Acceleration and deceleration capacity of fetal heart rate in an in-vivo sheep model
MW Rivolta, T Stampalija, D Casati, BS Richardson, MG Ross, MG Frasch, ...
PLoS One 9 (8), e104193, 2014
Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification
M Aktaruzzaman, MW Rivolta, R Karmacharya, N Scarabottolo, L Pugnetti, ...
Computers in biology and medicine 89, 212-221, 2017
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
G Luongo, L Azzolin, S Schuler, MW Rivolta, TP Almeida, JP Martínez, ...
Cardiovascular Digital Health Journal 2 (2), 126-136, 2021
Theoretical value of deceleration capacity points to deceleration reserve of fetal heart rate
MW Rivolta, T Stampalija, MG Frasch, R Sassi
IEEE Transactions on Biomedical Engineering 67 (4), 1176-1185, 2019
Diagnostic and prognostic values of the V-index, a novel ECG marker quantifying spatial heterogeneity of ventricular repolarization, in patients with symptoms suggestive of non …
R Abächerli, R Twerenbold, J Boeddinghaus, T Nestelberger, P Mächler, ...
International journal of cardiology 236, 23-29, 2017
Spatial repolarization heterogeneity and survival in chagas disease
R Sassi, MW Rivolta, LT Mainardi, RC Reis, MOC Rocha, ALP Ribeiro, ...
Methods of Information in Medicine 53 (06), 464-468, 2014
Ventricular activity cancellation in electrograms during atrial fibrillation with constraints on residuals’ power
VDA Corino, MW Rivolta, R Sassi, F Lombardi, LT Mainardi
Medical Engineering & Physics 35 (12), 1770-1777, 2013
Opening the black box: interpretability of machine learning algorithms in electrocardiography
M Bodini, MW Rivolta, R Sassi
Philosophical Transactions of the Royal Society A 379 (2212), 20200253, 2021
Automatic vs. clinical assessment of fall risk in older individuals: a proof of concept
MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ...
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015
Quantification of ventricular repolarization heterogeneity during moxifloxacin or sotalol administration using-index
MW Rivolta, LT Mainardi, R Sassi
Physiological Measurement 36 (4), 803, 2015
Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram
G Luongo, G Vacanti, V Nitzke, D Nairn, C Nagel, D Kabiri, TP Almeida, ...
EP Europace 24 (7), 1186-1194, 2022
A methodological assessment of phase-rectified signal averaging through simulated beat-to-beat interval time series
R Sassi, T Stampalija, D Casati, E Ferrazzi, A Bauer, MW Rivolta
Computing in Cardiology 2014, 601-604, 2014
Automatic ECG-based discrimination of 20 atrial flutter mechanisms: Influence of atrial and torso geometries
G Luongo, S Schuler, MW Rivolta, O Dössel, R Sassi, A Loewe
2020 Computing in Cardiology, 1-4, 2020
Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method
L Squarcina, TM Dagnew, MW Rivolta, M Bellani, R Sassi, P Brambilla
Journal of affective disorders 256, 416-423, 2019
Effects of the series length on Lempel-Ziv Complexity during sleep
MW Rivolta, M Migliorini, M Aktaruzzaman, R Sassi, AM Bianchi
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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