Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey
M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …
the human heart. Its analysis has been the main objective among the research community to …
Global epidemiology of atrial fibrillation
F Rahman, GF Kwan, EJ Benjamin - Nature Reviews Cardiology, 2014 - nature.com
Atrial fibrillation (AF) is a major public health burden worldwide, and its prevalence is set to
increase owing to widespread population ageing, especially in rapidly developing countries …
increase owing to widespread population ageing, especially in rapidly developing countries …
[HTML][HTML] An IoT-based computational framework for healthcare monitoring in mobile environments
The new Internet of Things paradigm allows for small devices with sensing, processing and
communication capabilities to be designed, which enable the development of sensors …
communication capabilities to be designed, which enable the development of sensors …
[HTML][HTML] Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems
Cardiovascular diseases are the number one cause of death worldwide. Currently, portable
battery-operated systems such as mobile phones with wireless ECG sensors have the …
battery-operated systems such as mobile phones with wireless ECG sensors have the …
Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor
Accurate detection of pathological conditions in human subjects can be achieved through off-
line analysis of recorded biological signals such as electrocardiograms (ECGs). However …
line analysis of recorded biological signals such as electrocardiograms (ECGs). However …
Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis
BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …
of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been …
A GPU deep learning metaheuristic based model for time series forecasting
As the new generation of smart sensors is evolving towards high sampling acquisitions
systems, the amount of information to be handled by learning algorithms has been …
systems, the amount of information to be handled by learning algorithms has been …
Wearable noncontact armband for mobile ECG monitoring system
One of the best ways to obtain health information is from an electrocardiogram (ECG).
Through an ECG, characteristics such as patients' heartbeats, heart conditions, and heart …
Through an ECG, characteristics such as patients' heartbeats, heart conditions, and heart …
Remote health monitoring system through IoT
AM Ghosh, D Halder… - 2016 5th International …, 2016 - ieeexplore.ieee.org
Remote health caring of patients at home is increasing with the popularity of various nature
of mobile devices that has developed to enable remotely caring. The cloud as well as IoT …
of mobile devices that has developed to enable remotely caring. The cloud as well as IoT …
Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
Background and objective Arrhythmia constitute a common clinical problem in cardiology.
The diagnosis is often made using electrocardiographic (ECG) signals but manual ECG …
The diagnosis is often made using electrocardiographic (ECG) signals but manual ECG …