Promoting harmonization of BME education in Europe: The CRH-BME Tempus project. - Nicolas Pallikarakis; Zhivko Bliznakov; Damijan Miklavcic; Tomaz Jarm; Ratko Magjarevic; Igor Lackovic; Leandro Pecchia; Rita Stagni; Akos Jobaggy; Joseph Barbenel (EMBC, 2011)

Discrimination power of long-term heart rate variability measures for chronic heart failure detection. - Paolo Melillo; Roberta Fusco; Mario Sansone; Marcello Bracale; Leandro Pecchia (Medical Biol. Eng. Comput., 2011)

Remote Health Monitoring of Heart Failure With Data Mining via CART Method on HRV Features. - Leandro Pecchia; Paolo Melillo; Marcello Bracale (IEEE Trans. Biomed. Eng., 2011)

Discrimination Power of Short-Term Heart Rate Variability Measures for CHF Assessment. - Leandro Pecchia; Paolo Melillo; Mario Sansone; Marcello Bracale (IEEE Trans. Inf. Technol. Biomed., 2011)

Heart rate variability and renal organ damage in hypertensive patients. - Paolo Melillo; Raffaele Izzo; Nicola De Luca; Leandro Pecchia (EMBC, 2012)

Application of Analytic Hierarchy Process for User Needs Elicitation: A Preliminary Study on a Device for Auto-injection of Epinephrine. - Leandro Pecchia; Jennifer L. Martin; Arthur G. Money; Julie Barnett (HIS, 2013)

Interactive Management Control Via Analytic Hierarchy Process (AHP). an Empirical Study in a Public University Hospital. - Leandro Pecchia (MIM, 2013)

User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner. - Leandro Pecchia; Jennifer L. Martin; Angela Ragozzino; Carmela Vanzanella; Arturo Scognamiglio; Luciano Mirarchi; Stephen P. Morgan (BMC Medical Informatics Decis. Mak., 2013)

Classification Tree for Risk Assessment in Patients Suffering From Congestive Heart Failure via Long-Term Heart Rate Variability. - Paolo Melillo; Nicola De Luca; Marcello Bracale; Leandro Pecchia (IEEE J. Biomed. Health Informatics, 2013)

A Preliminary Model to Choose the Most Appropriate Target Population for Home Monitoring Telemedicine Interventions Basing on the Best Available Evidence. - Paolo Melillo; Leandro Pecchia (IWAAL, 2014)

Cloud-Based Remote Processing and Data-Mining Platform for Automatic Risk Assessment in Hypertensive Patients. - Paolo Melillo; Paolo Scala; Filippo Crispino; Leandro Pecchia (IWAAL, 2014)

To What Extent It Is Possible to Predict Falls due to Standing Hypotension by Using HRV and Wearable Devices? Study Design and Preliminary Results from a Proof-of-Concept Study. - Giovanna Sannino; Paolo Melillo; Giuseppe De Pietro; Saverio Stranges; Leandro Pecchia (IWAAL, 2014)

Wearable technology and ECG processing for fall risk assessment, prevention and detection. - Paolo Melillo; Rossana Castaldo; Giovanna Sannino; Ada Orrico; Giuseppe De Pietro; Leandro Pecchia (EMBC, 2015)

Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis. - Rossana Castaldo; Paolo Melillo; Marcello Bracale; M. Caserta; Maria Triassi; Leandro Pecchia (Biomed. Signal Process. Control., 2015)

Analytic Hierarchy Process to Define the Most Important Factors and Related Technologies for Empowering Elderly People in Taking an Active Role in their Health. - Giuseppe Fico; Eugenio Gaeta; María Teresa Arredondo; Leandro Pecchia (J. Medical Syst., 2015)

Cloud-Based Smart Health Monitoring System for Automatic Cardiovascular and Fall Risk Assessment in Hypertensive Patients. - Paolo Melillo; Ada Orrico; Paolo Scala; Filippo Crispino; Leandro Pecchia (J. Medical Syst., 2015)

Blood Pressure Drop Prediction by using HRV Measurements in Orthostatic Hypotension. - Giovanna Sannino; Paolo Melillo; Saverio Stranges; Giuseppe De Pietro; Leandro Pecchia (J. Medical Syst., 2015)

A pilot study for development of a novel tool for clinical decision making to identify fallers among ophthalmic patients. - Paolo Melillo; Ada Orrico; M. Attanasio; S. Rossi; Leandro Pecchia; F. Chirico; Francesco Testa; Francesca Simonelli (BMC Medical Informatics Decis. Mak., 2015)

Short term Heart Rate Variability to predict blood pressure drops due to standing: a pilot study. - Giovanna Sannino; Paolo Melillo; Saverio Stranges; Giuseppe De Pietro; Leandro Pecchia (BMC Medical Informatics Decis. Mak., 2015)

Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis. - Rossana Castaldo; William Xu; Paolo Melillo; Leandro Pecchia; Lorena Santamaría; Christopher J. James (EMBC, 2016)

Fall Prediction in Hypertensive Patients via Short-Term HRV Analysis. - Rossana Castaldo; Paolo Melillo; Raffaele Izzo; Nicola De Luca; Leandro Pecchia (IEEE J. Biomed. Health Informatics, 2017)

National Integrated Network for Remote Monitoring Of Patients in Benin. - Daton Medenou; Mêtowanou H. Ahouandjinou; Leandro Pecchia; Thierry R. Jossou; Roland C. Houessouvo; Davide Piaggio (IREHI, 2018)

Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance. - Almir Badnjevic; Lejla Gurbeta; Mehrija Hasicic; Lejla Bandic; Zerina Masetic; Zivorad Kovacevic; Jasmin Kevric; Leandro Pecchia (Biomed. Signal Process. Control., 2019)

Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life. - Rossana Castaldo; Luis Montesinos; Paolo Melillo; Christopher J. James; Leandro Pecchia (BMC Medical Informatics Decis. Mak., 2019)

Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry. - Ernesto Iadanza; Francesco Goretti; Michele Sorelli; Paolo Melillo; Leandro Pecchia; Francesca Simonelli; Monica Gherardelli (IEEE Access, 2020)

Frontiers in hemodialysis part II: Toward personalized and optimized therapy. - Stefano Maranò 001; Marco Marano; Leandro Pecchia (Biomed. Signal Process. Control., 2020)

Nocturnal low glucose detection in healthy elderly from one-lead ECG using convolutional denoising autoencoders. - Mihaela Porumb; Corbin Griffen; John Hattersley; Leandro Pecchia (Biomed. Signal Process. Control., 2020)

A convolutional neural network approach to detect congestive heart failure. - Mihaela Porumb; Ernesto Iadanza; Sebastiano Massaro; Leandro Pecchia (Biomed. Signal Process. Control., 2020)

Human Computer Interaction Challenges in Designing Pandemic Trace Application for the Effective Knowledge Transfer Between Science and Society Inside the Quadruple Helix Collaboration. - Alba M. Gallego Monteja; Eugenio Gaeta; Anni Karinsalo; Ville Ollikainen; Pekka Koskela; Lutz Peschke; Frans Folkvord; Eleni Kaldoudi; Timo Jämsä; Francisco Lupiáñez-Villanueva; Leandro Pecchia; Giuseppe Fico (HCI (2), 2021)

A vest for treating jaundice in low-resource settings. - Davide Piaggio; Martina Andellini; Mahir Taher; Leandro Pecchia (MetroInd4.0&IoT, 2021)

Case Studies on the Use of Sentiment Analysis to Assess the Effectiveness and Safety of Health Technologies: A Scoping Review. - Julie Polisena; Martina Andellini; Piergiorgio Salerno; Simone Borsci; Leandro Pecchia; Ernesto Iadanza (IEEE Access, 2021)

Detection of melatonin-onset in real settings via wearable sensors and artificial intelligence. A pilot study. - Rossana Castaldo; Michael J. Chappell; H. Byrne; P. F. Innominato; S. Hughes; Antonio Pescapè; Leandro Pecchia (Biomed. Signal Process. Control., 2021)

Time adaptive ECG driven cardiovascular disease detector. - Muhammad Salman Haleem; Rossana Castaldo; Silvio Marcello Pagliara; Mario Petretta; Marco Salvatore; Monica Franzese; Leandro Pecchia (Biomed. Signal Process. Control., 2021)

A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data. - Erick Axel Martinez-Ríos; Luis Montesinos; Mariel Alfaro-Ponce; Leandro Pecchia (Biomed. Signal Process. Control., 2021)

Guest Editorial Enabling Technologies for Next Generation Telehealthcare. - Antonio Celesti; Ivanoe De Falco; Leandro Pecchia; Giovanna Sannino (IEEE J. Biomed. Health Informatics, 2021)

A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters. - Muhammad Salman Haleem; Leandro Pecchia (ISCC, 2022)

The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review. - Katy Stokes; Rossana Castaldo; Carlo Federici; Silvio Marcello Pagliara; Alessia Maccaro; Francesco Cappuccio; Giuseppe Fico; Marco Salvatore; Monica Franzese; Leandro Pecchia (Biomed. Signal Process. Control., 2022)

Personalized Training via Serious Game to Improve Daily Living Skills in Pediatric Patients With Autism Spectrum Disorder. - Ersilia Vallefuoco; Carmela Bravaccio; Giovanna Gison; Leandro Pecchia; Alessandro Pepino (IEEE J. Biomed. Health Informatics, 2022)

Dataset: Personalized Training via Serious Game to Improve Daily Living Skills in Pediatric Patients with ASD. - Ersilia Vallefuoco; Carmela Bravaccio; Giovanna Gison; Leandro Pecchia; Alessandro Pepino (IEEE DataPort, 2022)

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review. - Alessio Luschi; Camilla Petraccone; Giuseppe Fico; Leandro Pecchia; Ernesto Iadanza (IEEE Access, 2023)

Frequency and Uncertainty Driven Deep Learning Approach to Segment Electrocardiogram Signals for Effective Heart Parameters Estimation. - Sayna Rotbei; Gennaro Esposito Mocerino; Muhammad Salman Haleem; Leandro Pecchia; Alessio Botta (BHI, 2024)

A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals. - Muhammad Salman Haleem; Owain Cisuelo; Martina Andellini; Rossana Castaldo; Massimiliano Angelini; Matteo Ritrovato; Riccardo Schiaffini; Monica Franzese; Leandro Pecchia (Biomed. Signal Process. Control., 2024)

Statistical and machine learning methods for cancer research and clinical practice: A systematic review. - Laura Lopez-Perez; Eleni I. Georga; Carlo Conti; Victor Vicente; Rebeca García; Leandro Pecchia; Dimitrios I. Fotiadis; Lisa Licitra; María Fernanda Cabrera; María Teresa Arredondo; Giuseppe Fico (Biomed. Signal Process. Control., 2024)

A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach. - Davide Piaggio; Rossana Castaldo; Gianluca Garibizzo; Ernesto Iadanza; Leandro Pecchia (Biomed. Signal Process. Control., 2024)

Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review. - Sayna Rotbei; Wei Hsuan Tseng; Beatriz Merino-Barbancho; Muhammad Salman Haleem; Luis Montesinos; Leandro Pecchia; Giuseppe Fico; Alessio Botta (Expert Syst. Appl., 2024)

Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience. - Alessia Maccaro; Vasiliki Tsiompanidou; Davide Piaggio; Alba M. Gallego Monteja; Gloria Cea Sáncez; Jordi de Batlle; Adrian Quesada Rodriguez; Giuseppe Fico; Leandro Pecchia (npj Digit. Medicine, 2024)

Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy. - Martina Sassi; Mariajose Villa Corta; Matteo Giuseppe Pisani; Guido Nicodemi; Emiliano Schena; Leandro Pecchia; Umile Giuseppe Longo (Sensors, 2024)

Knowledge Graph Construction for Health, Lifestyle and Fitness Applications. - Carlo Allocca; Alessio Antonini; Riccardo Pala; Angelo A. Salatino; Iman Naja; Rohit Ail; Muhammad Salman Haleem; Laura Lopez-Perez; Eugenio Gaeta; Leandro Pecchia; Giuseppe Fico (ESWC (2), 2025)

Artificial Intelligence for Non-Invasive Glucose Monitoring: ECG-Based Glycaemia Estimation in Type 1 Diabetes. - Claudia Ferraro; Federico D'Antoni; Lorenzo Petrosino; Filippo Crispino; Mario Merone; Leandro Pecchia (MetroInd4.0 & IoT, 2025)

GATEKEEPER Platform: Secure Processing Environment for European Health Data Space. - Eugenio Gaeta; Muhammad Salman Haleem; Laura Lopez-Perez; Mirko Manea; María Fernanda Cabrera-Umpiérrez; María Teresa Arredondo Waldmeyer; Leandro Pecchia; Giuseppe Fico (IEEE Access, 2025)

Efficient multi-task learning with instance selection for biomedical NLP. - Agnese Bonfigli; Luca Bacco; Leandro Pecchia; Mario Merone; Felice Dell'Orletta (Comput. Biol. Medicine, 2025)

Rehabilitation robotics and allied digital technologies: opportunities, barriers and solutions for improving their clinical implementation. A position paper from the Fit for Medical Robotics Initiative. - Irene Aprile; Silvana Quaglini; Giuseppe Turchetti; Leandro Pecchia; Giovanni Comandè; Furio Gramatica; Emanuele Gruppioni; Giuseppina Sgandurra; Christian Cipriani (Frontiers Robotics AI, 2025)

Cross-lingual distillation for domain knowledge transfer with sentence transformers. - Ruben Piperno; Luca Bacco; Felice Dell'Orletta; Mario Merone; Leandro Pecchia (Knowl. Based Syst., 2025)