PECCHIA, LEANDRO

PECCHIA, LEANDRO  

Facoltà Dipartimentale di Ingegneria  

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Risultati 1 - 20 di 82 (tempo di esecuzione: 0.053 secondi).
Titolo Data di pubblicazione Autore(i) File
3D-printed activated charcoal inlet filters for oxygen concentrators: A circular economy approach 1-gen-2022 Williams, E.; Piaggio, D.; Andellini, M.; Pecchia, L.
A 3D-printed condom intrauterine balloon tamponade: Design, prototyping, and technical validation 1-gen-2024 Piaggio, D.; Hyland, S.; Maccaro, A.; Iadanza, E.; Pecchia, L.
A convolutional neural network approach to detect congestive heart failure 1-gen-2020 Porumb, M.; Iadanza, E.; Massaro, S.; Pecchia, L.
A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters 1-gen-2022 Haleem, M. S.; Pecchia, L.
A framework for designing medical devices resilient to low-resource settings 1-gen-2021 Piaggio, D.; Castaldo, R.; Cinelli, M.; Cinelli, S.; Maccaro, A.; Pecchia, L.
A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells 1-gen-2024 Vitale, J.; Sassi, M.; Pecchia, L.
A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings 1-gen-2021 Stokes, K.; Castaldo, R.; Franzese, M.; Salvatore, M.; Fico, G.; Pokvic, L. G.; Badnjevic, A.; Pecchia, L.
A MATLAB App to Assess, Compare and Validate New Methods Against Their Benchmarks 1-gen-2021 Ajo', S.; Piaggio, D.; Taher, M.; Marinozzi, F.; Bini, F.; Pecchia, L.
A matlab tool to support systematic literature review with meta-analysis 1-gen-2016 Meccariello, P.; Castaldo, R.; Montesinos, L; Guglielmelli, E; Pecchia, L.
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data 1-gen-2021 Martinez-Rios, E.; Montesinos, L.; Alfaro-Ponce, M.; Pecchia, L.
A robotic arm for safe and accurate control of biomedical equipment during COVID-19 1-gen-2023 Iadanza, E.; Pasqua, G.; Piaggio, D.; Caputo, C.; Gherardelli, M.; Pecchia, L.
A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals 1-gen-2024 Haleem, M. S.; Cisuelo, O.; Andellini, M.; Castaldo, R.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Franzese, M.; Pecchia, L.
A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach 1-gen-2024 Piaggio, D.; Castaldo, R.; Garibizzo, G.; Iadanza, E.; Pecchia, L.
A vest for treating jaundice in low-resource settings 1-gen-2021 Piaggio, D.; Andellini, M.; Taher, M.; Pecchia, L.
Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy 1-gen-2024 Sassi, M.; Villa Corta, M.; Pisani, M. G.; Nicodemi, G.; Schena, E.; Pecchia, L.; Longo, U. G.
An Integrated Sensorized Platform for Environmental Monitoring in Healthcare 1-gen-2023 Gandah, Simona; Chiurazzi, Marcello; Domina, Irene; Dei, Neri Niccolò; Spreafico, Giorgia; Scotto di Luzio, Francesco; Tagliamonte, Nevio L.; Sanz, Sofia Granda; Fico, Giuseppe; Pecchia, Leandro; Zollo, Loredana; Ciuti, Gastone
Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public 1-gen-2024 Gyftopoulos, S.; Drosatos, G.; Fico, G.; Pecchia, L.; Kaldoudi, E.
Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients 1-gen-2024 Andellini, M.; Castaldo, R.; Cisuelo, O.; Franzese, M.; Haleem, M. S.; Ritrovato, M.; Pecchia, L.; Schiaffini, R.
Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol 1-gen-2023 Andellini, M.; Haleem, S.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Iadanza, E.; Pecchia, L.
Artificial Intelligence, data protection and medical device regulations: squaring the circle with a historical perspective in Europe 1-gen-2024 Pecchia, L.; Maccaro, A.; Matarrese, M. A. G.; Folkvord, F.; Fico, G.