A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
DENS-ECG: A deep learning approach for ECG signal delineation
A Peimankar, S Puthusserypady - Expert systems with applications, 2021 - Elsevier
Objectives With the technological advancements in the field of tele-health monitoring, it is
now possible to gather huge amount of electro-physiological signals such as the …
now possible to gather huge amount of electro-physiological signals such as the …
An accurate QRS complex and P wave detection in ECG signals using complete ensemble empirical mode decomposition with adaptive noise approach
We developed a novel method for QRS complex and P wave detection in the
electrocardiogram (ECG) signal. The approach reconstructs two different signals for the …
electrocardiogram (ECG) signal. The approach reconstructs two different signals for the …
An accurate ECG-based transportation safety drowsiness detection scheme
Many traffic injuries and deaths are caused by the drowsiness of drivers during driving.
Existing drowsiness detection schemes are not accurate due to various reasons. To resolve …
Existing drowsiness detection schemes are not accurate due to various reasons. To resolve …
Discrete-wavelet-transform-based noise removal and feature extraction for ECG signals
HY Lin, SY Liang, YL Ho, YH Lin, HP Ma - Irbm, 2014 - Elsevier
Nowadays, doctors use electrocardiogram (ECG) to diagnose heart diseases commonly.
However, some nonideal effects are often distributed in ECG. Discrete wavelet transform …
However, some nonideal effects are often distributed in ECG. Discrete wavelet transform …
A real-time QRS detection system with PR/RT interval and ST segment measurements for wearable ECG sensors using parallel delta modulators
This paper presents a real-time electrocardiogram (ECG) monitoring system for wearable
devices. The system is based on the proposed parallel delta modulator architecture with …
devices. The system is based on the proposed parallel delta modulator architecture with …
Post-processing refined ECG delineation based on 1D-UNet
Z Chen, M Wang, M Zhang, W Huang, H Gu… - … Signal Processing and …, 2023 - Elsevier
The Electrocardiography (ECG) serves as a standard method for diagnosing cardiovascular
disease due to its minimal risk, affordable price and simple application. Clinical information …
disease due to its minimal risk, affordable price and simple application. Clinical information …
A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm
Background and objectives Detection of the R-peak pertaining to the QRS complex of an
ECG signal plays an important role for the diagnosis of a patient's heart condition. To …
ECG signal plays an important role for the diagnosis of a patient's heart condition. To …
A novel and lightweight P, QRS, and T peaks detector using adaptive thresholding and template waveform
Accurate detection of key components in an electrocardiogram (ECG) plays a vital role in
identifying cardiovascular diseases. In this work, we proposed a novel and lightweight P …
identifying cardiovascular diseases. In this work, we proposed a novel and lightweight P …