ECG monitoring systems: Review, architecture, processes, and key challenges

MA Serhani, H T. El Kassabi, H Ismail, A Nujum Navaz - Sensors, 2020 - mdpi.com
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …

[HTML][HTML] The smartphone in medicine: a review of current and potential use among physicians and students

E Ozdalga, A Ozdalga, N Ahuja - Journal of medical Internet research, 2012 - jmir.org
Background: Advancements in technology have always had major impacts in medicine. The
smartphone is one of the most ubiquitous and dynamic trends in communication, in which …

Design, implementation and validation of a novel open framework for agile development of mobile health applications

O Banos, C Villalonga, R Garcia, A Saez… - Biomedical engineering …, 2015 - Springer
The delivery of healthcare services has experienced tremendous changes during the last
years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution …

The IoT-based heart disease monitoring system for pervasive healthcare service

C Li, X Hu, L Zhang - Procedia computer science, 2017 - Elsevier
In China, most of heart attack results in death before the patients get any treatment. Because
the traditional healthcare mode is passive, by which patients call the healthcare service by …

A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal

K Li, W Pan, Y Li, Q Jiang, G Liu - Neurocomputing, 2018 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that
potentially threatened people's cardiovascular system. As an alternative to …

[HTML][HTML] Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges

H Banaee, MU Ahmed, A Loutfi - Sensors, 2013 - mdpi.com
The past few years have witnessed an increase in the development of wearable sensors for
health monitoring systems. This increase has been due to several factors such as …

Multiscale deep neural network for obstructive sleep apnea detection using RR interval from single-lead ECG signal

Q Shen, H Qin, K Wei, G Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The detection of obstructive sleep apnea (OSA) based on single-lead electrocardiogram
(ECG) is better suited to the noninvasive needs and hardware conditions of wearable mobile …

A novel algorithm for the automatic detection of sleep apnea from single-lead ECG

C Varon, A Caicedo, D Testelmans… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Goal: This paper presents a methodology for the automatic detection of sleep apnea from
single-lead ECG. Methods: It uses two novel features derived from the ECG, and two well …

A sleep apnea detection method based on unsupervised feature learning and single-lead electrocardiogram

K Feng, H Qin, S Wu, W Pan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sleep apnea (SA) is a harmful respiratory disorder that has caused widespread concern
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …

A systematic review of detecting sleep apnea using deep learning

SS Mostafa, F Mendonça, A G. Ravelo-García… - Sensors, 2019 - mdpi.com
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …