Search Results - "Burattini, Laura"

SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation.

Authors: Mortada, Mhd Jafar Sbrollini, Agnese Proniewska-van Dam, Klaudia et al.

Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3490, 17p

LuCa: A Novel Method for Lung Cancer Delineation.

Authors: Carletti, Mattia Bruschi, Giulia Mortada, MHD Jafar et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12074, 14p

Computerized otoscopy image-based artificial intelligence model utilizing deep features provided by vision transformer, grid search optimization, and support vector machine for otitis media diagnosis.

Authors: Cömert, Zafer Sbrollini, Agnese Demircan, Furkancan et al.

Source: Neural Computing & Applications; Dec2024, Vol. 36 Issue 36, p23113-23129, 17p

Normalization of Electrocardiogram-Derived Cardiac Risk Indices: A Scoping Review of the Open-Access Literature.

Authors: Iammarino, Erica Marcantoni, Ilaria Sbrollini, Agnese et al.

Source: Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 20, p9457, 18p

Identification of Electrocardiographic Patterns Related to Mortality with COVID-19.

Authors: Sbrollini, Agnese Leoni, Chiara Morettini, Micaela et al.

Source: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 2, p817, 13p

Estimation of Tidal Volume during Exercise Stress Test from Wearable-Device Measures of Heart Rate and Breathing Rate.

Authors: Sbrollini, Agnese Catena, Riccardo Carbonari, Francesco et al.

Source: Applied Sciences (2076-3417); Jun2022, Vol. 12 Issue 11, p5441-5441, 8p

Novel Physics-Informed Bayesian Fusion Post-Processor for Enhanced Gait Phase Recognition Using Surface Electromyography.

Authors: Mobarak, Rami Mengarelli, Alessandro Khushaba, Rami N. et al.

Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2025, Vol. 33, p3476-3487, 12p

Inertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional Combined Approach.

Authors: Scattolini, Mara Tigrini, Andrea Verdini, Federica et al.

Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2025, Vol. 33, p1855-1864, 10p

A Computer-Aided Screening Solution for the Identification of Diabetic Neuropathy From Standing Balance by Leveraging Multi-Domain Features.

Authors: Mengarelli, Alessandro Tigrini, Andrea Verdini, Federica et al.

Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2024, Vol. 32, p2388-2397, 10p

A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb.

Authors: Mobarak, Rami Tigrini, Andrea Verdini, Federica et al.

Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2024, Vol. 32, p812-821, 10p

Prediction of Nocturnal Hypoglycemia Following Exercise in Type 1 Diabetes Using Temporally Structured CGM-Derived Digital Biomarkers.

Authors: Piersanti, Agnese Manes, Gaia Maria Del Giudice, Libera Lucia et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3842. 17p.

Role of Electroencephalography in the Assessment of Cortical Responses Elicited by Music Therapy in Burn Patients Undergoing Intensive Care.

Authors: Iammarino, Erica Baldoncini, Alessia Gagliardi, Arianna et al.

Source: Sensors (14248220). Apr2026, Vol. 26 Issue 8, p2358. 15p.

Assessment of the Psycho-Emotional State Induced by Open-Skill Sport Activity: An Electroencephalography-Based Study.

Authors: Iammarino, Erica Marcantoni, Ilaria Grillo, Sebastiano et al.

Source: Sensors (14248220). Feb2026, Vol. 26 Issue 4, p1198. 20p.

An interactive tool for the analysis of muscular recruitment during walking task.

Authors: Mengarelli, Alessandro Cardarelli, Stefano Di Nardo, Francesco et al.

Source: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Mar2019, Vol. 7 Issue 2, p175-185, 11p

Beat-to-Beat Repolarization Variability in LQTS Patients with the SCN5A Sodium Channel Gene Mutation.

Authors: Couderc, Jean-Philippe Zareba, Wojciech Burattini, Laura et al.

Source: Pacing & Clinical Electrophysiology. Nov1999, Vol. 22 Issue 11, p1581-1592.

Heart Sound Classification for Early Detection of Cardiovascular Diseases Using XGBoost and Engineered Acoustic Features.

Authors: Karthikeya, P. P. Satya Rohith, P. Karthikeya, B. et al.

Source: Sensors (14248220). Jan2026, Vol. 26 Issue 2, p630. 20p.

eCTG: an automatic procedure to extract digital cardiotocographic signals from digital images.

Authors: Sbrollini, Agnese Agostinelli, Angela Marcantoni, Ilaria et al.

Source: Computer Methods & Programs in Biomedicine; Mar2018, Vol. 156, p133-139, 7p

Repolarization alternans heterogeneity in healthy subjects and acute myocardial infarction patients

Authors: Burattini, Laura Bini, Silvia Burattini, Roberto

Source: Medical Engineering & Physics. Apr2012, Vol. 34 Issue 3, p305-312. 8p.

Subjects: Myocardial infarction, Electrocardiography, Heart rate monitoring, Clinical trials, Medical imaging systems, Electric properties of hearts, Patients

Automatic microvolt T-wave alternans identification in relation to ECG interferences surviving preprocessing

Authors: Burattini, Laura Bini, Silvia Burattini, Roberto

Source: Medical Engineering & Physics. Jan2011, Vol. 33 Issue 1, p17-30. 14p.

Subjects: Nuclear magnetic resonance, Laplacian operator, Electrocardiography, Fourier transform spectroscopy, Adaptive antennas, Myocardial infarction, Cathode ray oscillographs, Patients

Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans

Authors: Burattini, Laura Bini, Silvia Burattini, Roberto

Source: Medical Engineering & Physics. Dec2009, Vol. 31 Issue 10, p1290-1298. 9p.

Subjects: Electrocardiography, Arrhythmia, Comparative studies, Laplacian operator, Fourier transforms, Coronary disease, Simulation methods & models, Patients