Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals

no code implementations • 23 Aug 2022 • Daniel Mauricio Jimenez Gutierrez, Hafiz Muuhammad Hassan, Lorella Landi, Andrea Vitaletti, Ioannis Chatzigiannakis

Artificial Intelligence-based (AI) analysis of large, curated medical datasets is promising for providing early detection, faster diagnosis, and more effective treatment using low-power Electrocardiography (ECG) monitoring devices information.

Decision Making Electrocardiography (ECG) +3

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes

no code implementations • 13 Jun 2022 • Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentile, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi

The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database.

On Mining IoT Data for Evaluating the Operation of Public Educational Buildings

no code implementations • 20 Jun 2019 • Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis

Public educational systems operate thousands of buildings with vastly different characteristics in terms of size, age, location, construction, thermal behavior and user communities.

IoT-based Big Data Analysis of School Buildings Performance

no code implementations • 24 May 2018 • Ioannis Chatzigiannakis, Georgios Mylonas, Irene Mavrommati, Dimitrios Amaxilatis

The utilization of IoT in the educational domain so far has trailed other more commercial application domains.

Computers and Society