[HTML][HTML] Ecg signal features classification for the mental fatigue recognition

E Butkevičiūtė, A Michalkovič, L Bikulčienė - Mathematics, 2022 - mdpi.com
Mental fatigue is a major public health issue worldwide that is common among both healthy
and sick people. In the literature, various modern technologies, together with artificial …

An Application-Specific Power Consumption Optimization for Wearable Electrocardiogram Devices

A Badr, A Rashwan, K Elgazzar - 2022 IEEE 47th Conference …, 2022 - ieeexplore.ieee.org
This paper explores ways for energy consumption reduction in wearable and Remote
Patient Monitoring (RPM) devices. We use the XBeats ECG patch as a case study …

Real-Time Monitoring and Anomaly Detection in Hospital IoT Networks Using Machine Learning

GR Kumar, NS Govekar, A Karthik… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The study covers the vital aspect of strong abnormality detection systems on IoT hospital
networks that do not have enough resources available. The study evaluated the …

A Framework for Real-time Remote ECG Monitoring and Diagnoses

A Badr, K Elgazzar - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Enabled by the fast development of Internet of Things (IoT) technologies in recent years, the
healthcare domain has witnessed significant advancements in wearable devices that …

[引用][C] A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework

A Badr - 2022