Posted on October 29, 2025
We extend our sincere congratulations to the entire AI Research Center team of Advanced College of Engineering and Management (ACEM) for their recent achievements in international research collaborations with Asian Institute of Technology (AIT), Thailand and University of Florence, Italy. Their latest joint work has been published in a prestigious Q1 journal ‘Sensors’ as part of the Special Issue Human Body Communication and is available online here:
Publication: Sensors Journal
Title: Generalizable Hybrid Wavelet–Deep Learning Architecture for Robust Arrhythmia Detection in Wearable ECG Monitoring
Date: October 2025
Journal: Sensors – Special Issue: Human Body Communication
Funding: This work has been supported by the European Telecommunication Standard Institute (ETSI), Smart Body Area Networks (SmartBAN) Technical Committee, by the European Union's Horizon 2020 programme under grants No. 872752 and No. 101017331, and by the Fondazione Cassa di Risparmio di Firenze (SmartHUB project on Medical and Social ICT for Territorial Assistance).
Authors: Er. Ukesh Thapa, Dr. Bipun Man Pati, Dr. Attaphongse Taparugssanagorn (AIT, Thailand), Prof. Lorenzo Mucchi (University of Florence, Italy)
For detailed information, please click here:
Summary: This study combines wavelet transforms with deep learning to improve the reliability and intelligence of wearable ECG monitoring. The approach demonstrates how signal processing integrated with AI can enhance healthcare accessibility, achieving over 86% accuracy and enabling real-time monitoring using lightweight models such as ResNet-18 and Vision Transformer (ViT). The research represents a successful international collaboration and contributes to the development of smarter, more efficient medical diagnostic tools.
