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Andrea Mannini
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2020 – today
- 2023
- [j20]Leonardo Corsi, Piergiuseppe Liuzzi
, Sara Ballanti, Maenia Scarpino, Antonio Maiorelli, Raisa Sterpu, Claudio Macchi, Francesca Cecchi, Bahia Hakiki
EEG asymmetry detection in patients with severe acquired brain injuries via machine learning methods. Biomed. Signal Process. Control. 79(Part): 104260 (2023) - [j19]Daniele D'Accolti
Online Classification of Transient EMG Patterns for the Control of the Wrist and Hand in a Transradial Prosthesis. IEEE Robotics Autom. Lett. 8(2): 1045-1052 (2023) - [j18]Silvia Campagnini
Estimation of Spatiotemporal Gait Parameters in Walking on a Photoelectric System: Validation on Healthy Children by Standard Gait Analysis. Sensors 23(13): 6059 (2023) - [j17]Piergiuseppe Liuzzi
The Consciousness Domain Index: External Validation and Prognostic Relevance of a Data-Driven Assessment. IEEE J. Biomed. Health Informatics 27(7): 3559-3568 (2023) - 2022
- [j16]Piergiuseppe Liuzzi
Predicting SARS-CoV-2 infection duration at hospital admission: a deep learning solution. Medical Biol. Eng. Comput. 60(2): 459-470 (2022) - [j15]Marta Gherardini
Feasibility Study on Disentangling Muscle Movements in TMR Patients Through a Myokinetic Control Interface for the Control of Artificial Hands. IEEE Robotics Autom. Lett. 7(3): 7240-7246 (2022) - [j14]Luigi Truppa
Quantitative Analysis of Performance Recovery in Semi-Professional Football Players after the COVID-19 Forced Rest Period. Sensors 22(1): 242 (2022) - [c15]Piergiuseppe Liuzzi, Francesco De Bellis, Alfonso Magliacano, Anna Estraneo, Andrea Mannini:
Consciousness-Domain Index: a data-driven clustering-based consciousness labeling. EMBC 2022: 1062-1065 - [c14]Silvia Campagnini, Piergiuseppe Liuzzi, Silvia Galeri, Angelo Montesano, Manuela Diverio, Francesca Cecchi, Catuscia Falsini, Emanuele Langone, Rita Mosca, Marco Germanotta, Maria Chiara Carrozza, Irene Aprile, Andrea Mannini:
Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted Rehabilitation. EMBC 2022: 4950-4953 - 2021
- [j13]Andrea Mannini
Data-driven prediction of decannulation probability and timing in patients with severe acquired brain injury. Comput. Methods Programs Biomed. 209: 106345 (2021) - [j12]Marta Gherardini
Optimal Spatial Sensor Design for Magnetic Tracking in a Myokinetic Control Interface. Comput. Methods Programs Biomed. 211: 106407 (2021) - [j11]Luigi Truppa, Michelangelo Guaitolini
Assessment of Biomechanical Response to Fatigue through Wearable Sensors in Semi-Professional Football Referees. Sensors 21(1): 66 (2021) - [j10]Lorenzo Rum
Wearable Sensors in Sports for Persons with Disability: A Systematic Review. Sensors 21(5): 1858 (2021) - [c13]Elisa Setti, Piergiuseppe Liuzzi, Silvia Campagnini, Chiara Fanciullacci, Chiara Arienti, Michele Patrini, Andrea Mannini, Maria Chiara Carrozza:
Predicting post COVID-19 rehabilitation duration with linear kernel SVR. BHI 2021: 1-5 - [c12]Luigi Truppa, Pietro Garofalo
Magnetic-free Extended Kalman Filter for upper limb kinematic assessment in Yoga. EMBC 2021: 937-940 - [c11]Eleonora Vendrame
Muscle synergies in archery: an explorative study on experienced athletes with and without physical disability*. EMBC 2021: 6220-6223 - [c10]Luca Pedrelli, Marco Tramontano, Giuseppe Vannozzi, Andrea Mannini:
Deep Echo State Networks for Functional Ambulation Categories Estimation. ESANN 2021 - [c9]Luigi Truppa, Lorenzo Nuti, Stefano Mazzoleni
Ballistic skills assessment in semi-professional football players through inertial sensors: the effects of COVID-19 forced rest period. MetroInd4.0&IoT 2021: 187-191 - 2020
- [c8]Michelangelo Guaitolini
Sport-induced fatigue detection in gait parameters using inertial sensors and support vector machines. BioRob 2020: 170-174
2010 – 2019
- 2019
- [j9]Michelangelo Guaitolini
Ambulatory Assessment of the Dynamic Margin of Stability Using an Inertial Sensor Network. Sensors 19(19): 4117 (2019) - [j8]Andrea Mannini
Classifier Personalization for Activity Recognition Using Wrist Accelerometers. IEEE J. Biomed. Health Informatics 23(4): 1585-1594 (2019) - [c7]Michelangelo Guaitolini
Evaluation of time-frequency features as detectors of lack of balance due to tripping-like perturbations. EMBC 2019: 2443-2446 - 2018
- [c6]Itzel Jared Rodriguez Martinez, Francesco Clemente, Gunter Kanitz, Andrea Mannini
Grasp Force Estimation from HD-EMG Recordings with Channel Selection Using Elastic Nets: Preliminary Study. BioRob 2018: 25-30 - 2017
- [j7]Vincenzo Genovese, Andrea Mannini
A Smartwatch Step Counter for Slow and Intermittent Ambulation. IEEE Access 5: 13028-13037 (2017) - 2016
- [j6]Andrea Mannini
A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients. Sensors 16(1): 134 (2016) - [j5]Angelo Maria Sabatini, Andrea Mannini
Ambulatory Assessment of Instantaneous Velocity during Walking Using Inertial Sensor Measurements. Sensors 16(12): 2206 (2016) - 2015
- [j4]Andrea Mannini
Accelerometry-based recognition of the placement sites of a wearable sensor. Pervasive Mob. Comput. 21: 62-74 (2015) - [c5]Andrea Mannini
A smartphone-centered wearable sensor network for fall risk assessment in the elderly. BODYNETS 2015 - [c4]Andrea Mannini
Hidden Markov model-based strategy for gait segmentation using inertial sensors: Application to elderly, hemiparetic patients and Huntington's disease patients. EMBC 2015: 5179-5182 - 2014
- [j3]Andrea Mannini
Online Decoding of Hidden Markov Models for Gait Event Detection Using Foot-Mounted Gyroscopes. IEEE J. Biomed. Health Informatics 18(4): 1122-1130 (2014) - 2011
- [j2]Andrea Mannini
Accelerometry-Based Classification of Human Activities Using Markov Modeling. Comput. Intell. Neurosci. 2011: 647858:1-647858:10 (2011) - [c3]Andrea Mannini, Angelo M. Sabatini:
Classification of Human Physical Activities from On-body Accelerometers - A Markov Modeling Approach. BIOSIGNALS 2011: 201-208 - [c2]Andrea Mannini
On-line classification of human activity and estimation of walk-run speed from acceleration data using support vector machines. EMBC 2011: 3302-3305 - [c1]Andrea Mannini
A hidden Markov model-based technique for gait segmentation using a foot-mounted gyroscope. EMBC 2011: 4369-4373 - 2010
- [j1]Andrea Mannini
Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers. Sensors 10(2): 1154-1175 (2010)
Coauthor Index
aka: Angelo Maria Sabatini
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