[HTML][HTML] Comprehensive survey of computational ECG analysis: Databases, methods and applications
E Merdjanovska, A Rashkovska - Expert Systems with Applications, 2022 - Elsevier
Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …
Automatic analysis of these recordings can be performed using various computational …
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 …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Analysis of Pan-Tompkins algorithm performance with noisy ECG signals
MAZ Fariha, R Ikeura, S Hayakawa… - Journal of Physics …, 2020 - iopscience.iop.org
Abstract The Pan-Tompkins Algorithm is the most widely used QRS complex detector for the
monitoring of many cardiac diseases including in arrhythmia detection. This method could …
monitoring of many cardiac diseases including in arrhythmia detection. This method could …
Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals
Abstract Coronary Artery Disease (CAD) is the root cause for chain of catastrophic heart
diseases such as Ischemic Heart Disease (IHD), Myocardial Infarction (MI) or Heart Attack …
diseases such as Ischemic Heart Disease (IHD), Myocardial Infarction (MI) or Heart Attack …
A robust, simple and reliable measure of heart rate variability using relative RR intervals
M Vollmer - 2015 Computing in Cardiology Conference (CinC), 2015 - ieeexplore.ieee.org
Background: Heart Rate Variability (HRV) is a physiological marker of the autonomic activity
of the heart. For patients with cardiological diseases it has been used for risk stratification …
of the heart. For patients with cardiological diseases it has been used for risk stratification …
Multiclass ECG signal analysis using global average-based 2-D convolutional neural network modeling
Cardiovascular diseases have been reported to be the leading cause of mortality across the
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of …
H2B: Heartbeat-based secret key generation using piezo vibration sensors
We present Heartbeats-2-Bits (H2B), which is a system for securely pairing wearable
devices by generating a shared secret key from the skin vibrations caused by heartbeat. This …
devices by generating a shared secret key from the skin vibrations caused by heartbeat. This …
Towards better heartbeat segmentation with deep learning classification
The confidence of medical equipment is intimately related to false alarms. The higher the
number of false events occurs, the less truthful is the equipment. In this sense, reducing (or …
number of false events occurs, the less truthful is the equipment. In this sense, reducing (or …
Happy-anger emotions classifications from electrocardiogram signal for automobile driving safety and awareness
KN Minhad, SHM Ali, MBI Reaz - Journal of Transport & Health, 2017 - Elsevier
Developing a system to monitor the physical and psychological states of a driver and alert
the driver is essential for accident prevention. Inspired by the advances in wireless …
the driver is essential for accident prevention. Inspired by the advances in wireless …