[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 …
Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
An optimal filter for short photoplethysmogram signals
A photoplethysmogram (PPG) contains a wealth of cardiovascular system information, and
with the development of wearable technology, it has become the basic technique for …
with the development of wearable technology, it has become the basic technique for …
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 …
A novel FrWT based arrhythmia detection in ECG signal using YWARA and PCA
In general, Electrocardiogram (ECG) signal gets corrupted by variety of noise at the time of
its acquisition. Unfortunately, these noise tend to mask the crucial information …
its acquisition. Unfortunately, these noise tend to mask the crucial information …
Sparse representation of ECG signals for automated recognition of cardiac arrhythmias
S Raj, KC Ray - Expert systems with applications, 2018 - Elsevier
As per the report of the World Health Organization (WHO), the mortalities due to
cardiovascular diseases (CVDs) have increased to 50 million worldwide. Therefore, it is …
cardiovascular diseases (CVDs) have increased to 50 million worldwide. Therefore, it is …
FrWT-PPCA-based R-peak detection for improved management of healthcare system
Fourier analysis is well known to provide complete information of the frequencies present in
a signal. But in the process, time information is lost. Therefore, its time-frequency …
a signal. But in the process, time information is lost. Therefore, its time-frequency …
Robust R-peak detection in low-quality holter ECGs using 1D convolutional neural network
Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …
Wireless ECG and cardiac monitoring systems: State of the art, available commercial devices and useful electronic components
Wireless ElectroCardioGram (ECG) systems are employed in manifold application fields:
tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable …
tele-monitoring, sport applications, support to ageing people at home, fetal ECG, wearable …
Performance analysis of ten common QRS detectors on different ECG application cases
F Liu, C Liu, X Jiang, Z Zhang, Y Zhang… - Journal of healthcare …, 2018 - Wiley Online Library
A systematical evaluation work was performed on ten widely used and high‐efficient QRS
detection algorithms in this study, aiming at verifying their performances and usefulness in …
detection algorithms in this study, aiming at verifying their performances and usefulness in …