@inproceedings{47f92796de0743b9b7a4e0e4c94d554a,
title = "Design and Implementation of a Real-Time IoMT-Based Remote Patient Monitoring System Using Adaptive ECG Feature Extraction",
abstract = "This paper discusses a secure system for real-time remote patient monitoring (RPMS-IoT) that employs Internet of Medical Things (IoMT) technologies and a versatile algorithm to enhance cardiac analysis. It utilizes a low-complexity adaptive Hilbert envelope algorithm guided by autocorrelation to effectively identify P-QRSxy3T features from ECG signals in real-time. The system integrates wearable sensors and microcontroller-based processing units within a cloud-based structure using HTTPS and the Blynk platform to ensure secure data transmission, storage, and visualization. Experimental results demonstrate high accuracy, with body temperature measurement errors below 1\% and heart rate estimation errors under 2.9\% when compared to reference medical devices. The results affirm the RPMS-IoT framework's effectiveness in secure and real-time cardiac monitoring, laying a robust groundwork for future intelligent healthcare and IoMT-powered applications.",
keywords = "Blynk platform, Hilbert envelope HTTPS, IoMT, RPMS-IoT, Wearable sensors",
author = "Rostom Khalef and Fateh Moulahcene and Ammar Merazga and Souad Nacer and Amine Bermak and Merzoug Ammari",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2026 ; Conference date: 06-07-2026 Through 09-07-2026",
year = "2026",
doi = "10.1109/ICECET65726.2026.11632561",
language = "English",
series = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2026",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2026",
address = "United States",
}