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Giandomenico Nollo
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2020 – today
- 2024
- [j33]Francesco Tessarolo
, Despoina Petsani
Developing ambient assisted living technologies exploiting potential of user-centred co-creation and agile methodology: the CAPTAIN project experience. J. Ambient Intell. Humaniz. Comput. 15(5): 2661-2676 (2024) - 2023
- [j32]C. Jyotsna
PredictEYE: Personalized Time Series Model for Mental State Prediction Using Eye Tracking. IEEE Access 11: 128383-128409 (2023) - [j31]Jyotsna Chandrasekharan
ETMT: A Tool for Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment. Sensors 23(15): 6848 (2023) - [j30]Silvia Chiera
Measuring Total Filtration Efficiency of Surgical and Community Face Masks: Impact of Mask Design Features. IEEE Trans. Instrum. Meas. 72: 1-17 (2023) - [c31]Gorana Mijatovic, Chiara Barà, Riccardo Pernice
Exploring the Short-Term Memory of Heart Rate Variability through Model-Free Information Measures. EMBC 2023: 1-4 - [c30]Damiano Fruet
Affective state classification using timing-related features from short windowed PPG signal. MetroInd4.0&IoT 2023: 153-158 - 2022
- [c29]Silvia Chiera
The role of filter breathability in reducing the fraction of exhaled air leaking from surgical and community face masks. MeMeA 2022: 1-6 - 2021
- [j29]Riccardo Pernice
Comparison of frequency domain measures based on spectral decomposition for spontaneous baroreflex sensitivity assessment after Acute Myocardial Infarction. Biomed. Signal Process. Control. 68: 102680 (2021) - [j28]Matteo Zanetti
Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. J. Ambient Intell. Humaniz. Comput. 12(4): 4409-4418 (2021) - [j27]Yuri Antonacci
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Comput. Sci. 7: e429 (2021) - 2020
- [j26]Italo Agustin Marsili, Luca Biasiolli
Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device. Comput. Biol. Medicine 116: 103540 (2020) - [j25]Yuri Antonacci
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. Entropy 22(7): 732 (2020)
2010 – 2019
- 2019
- [j24]Alessandro Cristoforetti, Luca De Stavola, Andrea Fincato, Michela Masè
Assessing the accuracy of computer-planned osteotomy guided by stereolithographic template: A methodological framework applied to the mandibular bone harvesting. Comput. Biol. Medicine 114 (2019) - [j23]Matteo Zanetti
Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. Entropy 21(3): 275 (2019) - [c28]Riccardo Pernice
Mutual Information Analysis of Brain-Body Interactions during different Levels of Mental stress. EMBC 2019: 6176-6179 - [c27]Michela Masè
Modeling Framework for the Generation of Synthetic RR Series during Atrial Arrhythmias. EMBC 2019: 6347-6350 - [c26]Riccardo Pernice
Minimally Invasive Assessment of Mental Stress based on Wearable Wireless Physiological Sensors and Multivariate Biosignal Processing. EUROCON 2019: 1-5 - [c25]Andrea Grisenti, Giandomenico Nollo, Michela Dalprá, Francesco G. B. De Natale, Mariolino De Cecco
Technological Infrastructure Supports New Paradigm of Care for Healthy Aging: The Living Lab Ausilia. ForItAAL 2019: 85-99 - [c24]Francesco Tessarolo
User-centered co-design and AGILE methodology for developing ambient assisting technologies: Study plan and methodological framework of the CAPTAIN project. ISCT 2019: 283-286 - [c23]Evdokimos I. Konstantinidis
A New Approach for Ageing at Home: The CAPTAIN System. MedInfo 2019: 1704-1705 - 2018
- [c22]S. Anzivino, Giandomenico Nollo
Designing Multidimensional Assessment of ICTs for Elderly People: The UNCAP Clinical Study Protocol. ForItAAL 2018: 47-69 - [c21]Matteo Zanetti
Assessment of Mental Stress Through the Analysis of Physiological Signals Acquired From Wearable Devices. ForItAAL 2018: 243-256 - 2017
- [j22]Luca Faes
Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models. Complex. 2017: 1768264:1-1768264:13 (2017) - [j21]Luca Faes
Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks. Entropy 19(1): 5 (2017) - [j20]Alejandro Alcaine
A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions During Atrial Fibrillation. IEEE Trans. Biomed. Eng. 64(5): 1157-1168 (2017) - [c20]Mariolino De Cecco
Augmented Reality to Enhance the Clinician's Observation During Assessment of Daily Living Activities. AVR (2) 2017: 3-21 - [c19]Luca Faes
Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks. EMBC 2017: 1563-1566 - [c18]Martina Valente, Michal Javorka
Cardiovascular and respiratory variability during orthostatic and mental stress: A comparison of entropy estimators. EMBC 2017: 3481-3484 - 2016
- [j19]Luca Faes
An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram. IEEE Trans. Biomed. Eng. 63(12): 2488-2496 (2016) - [c17]Luca Faes
Multiscale analysis of information dynamics for linear multivariate processes. EMBC 2016: 5489-5492 - [c16]Italo Agustin Marsili, Michela Masè
Optimized algorithms for atrial fibrillation detection by wearable tele-holter devices. ISC2 2016: 1-4 - [c15]V. Pisetta, Elisa Morganti, Michela Masè
The e-cardiac rehabilitation service: An integrated system for Home-Care Cardiac Rehabilitation. ISC2 2016: 1-4 - [c14]Tommaso Pisoni, Nicola Conci
AUSILIA: Assisted unit for simulating independent living activities. ISC2 2016: 1-4 - [c13]Emanuele Torri, Nicola Pace, Domenico Marco Bonifati, Giandomenico Nollo
Social media for clinical management of neurologic diseases: An HTA approach. ISC2 2016: 1-4 - [i1]Luca Faes, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, Daniele Marinazzo:
Multiscale Analysis of Information Dynamics for Linear Multivariate Processes. CoRR abs/1602.06155 (2016) - 2015
- [j18]Luca Faes
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. Entropy 17(1): 277-303 (2015) - [c12]Luca Faes
Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep. CinC 2015: 625-628 - [c11]Luca Faes
Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability. EMBC 2015: 1789-1792 - [c10]Luca Faes
Redundant and synergistic information transfer in cardiovascular and cardiorespiratory variability. EMBC 2015: 4033-4036 - [c9]Francesco Tessarolo
A Multi-techniques Approach to assess reprocessing of Single-use electrosurgical pencils. EMBC 2015: 6876-6879 - [c8]Caludio Eccher, Michela Dalmartello, Elisa Morganti, Emanuele Torri, Giandomenico Nollo, Roberto Zuffada, Natalia Allegretti:
NATHCARE - Networking Alpine Health for Continuity of Care. The pilot case in the Province of Trento. MIE 2015: 1005-1007 - 2014
- [j17]Luca Faes
Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer. IEEE Trans. Biomed. Eng. 61(10): 2556-2568 (2014) - [c7]Luca Faes
Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework. EMBC 2014: 6020-6023 - 2013
- [j16]Luca Faes
Measuring frequency domain granger causality for multiple blocks of interacting time series. Biol. Cybern. 107(2): 217-232 (2013) - [j15]Luca Faes
Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series. Entropy 15(1): 198-219 (2013) - [c6]Luca Faes, Alessandro Montalto, Giandomenico Nollo, Daniele Marinazzo:
Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability. CinC 2013: 113-116 - [c5]Alessandro Montalto, Daniele Marinazzo, Dimitris Kugiumtzis, Giandomenico Nollo, Luca Faes:
Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability. CinC 2013: 747-750 - [c4]Luca Faes
Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability. EMBC 2013: 5049-5052 - 2012
- [j14]Silvia Erla, Luca Faes
Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks. Biomed. Signal Process. Control. 7(3): 221-227 (2012) - [j13]Luca Faes
Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series. Comput. Biol. Medicine 42(3): 290-297 (2012) - [j12]Luca Faes
Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis. Comput. Math. Methods Medicine 2012: 140513:1-140513:18 (2012) - [c3]Luca Faes
Compensating for instantaneous signal mixing in transfer entropy analysis of neurobiological time series. EMBC 2012: 3672-3675 - 2011
- [c2]Luca Faes
Assessing directional interactions among multiple physiological time series: The role of instantaneous causality. EMBC 2011: 5919-5922 - [c1]Giandomenico Nollo
Cold intermittent cardioplegia reduces the acidosis during prolonged cardiac surgery with cardiopulmonary bypass. EMBC 2011: 8432-8435 - 2010
- [j11]Luca Faes
Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions. Biol. Cybern. 103(5): 387-400 (2010) - [j10]Luca Faes
Testing Frequency-Domain Causality in Multivariate Time Series. IEEE Trans. Biomed. Eng. 57(8): 1897-1906 (2010)
2000 – 2009
- 2009
- [j9]Luca Faes
A Method for the Time-Varying Nonlinear Prediction of Complex Nonstationary Biomedical Signals. IEEE Trans. Biomed. Eng. 56(2): 205-209 (2009) - [j8]Luca Faes
Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability. IEEE Trans. Biomed. Eng. 56(3): 685-695 (2009) - 2008
- [j7]Giandomenico Nollo
An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms. IEEE Trans. Biomed. Eng. 55(9): 2275-2285 (2008) - 2006
- [j6]Alberto Porta
Global versus local linear beat-to-beat analysis of the relationship between arterial pressure and pulse transit time during dynamic exercise. Medical Biol. Eng. Comput. 44(4): 331-337 (2006) - [j5]Luca Faes
Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability. Medical Biol. Eng. Comput. 44(5): 383-392 (2006) - [j4]Luca Faes
Causal cross-spectral analysis of heart rate and blood pressure variability for describing the impairment of the cardiovascular control in neurally mediated syncope. IEEE Trans. Biomed. Eng. 53(1): 65-73 (2006) - 2004
- [j3]Luca Faes
Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals. Biol. Cybern. 90(6): 390-399 (2004) - [j2]Luca Faes
Surrogate data analysis for assessing the significance of the coherence function. IEEE Trans. Biomed. Eng. 51(7): 1156-1166 (2004) - 2002
- [j1]Luca Faes
A method for quantifying atrial fibrillation organization based on wave-morphology similarity. IEEE Trans. Biomed. Eng. 49(12): 1504-1513 (2002)
Coauthor Index
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