BP signal analysis using emerging techniques and its validation using ECG signal
Monitoring of blood pressure (BP), heart rate (HR), respiratory (RSP),
Photoplethysmography (PPG), and Electrocardiogram (ECG) are generally used for any …
Photoplethysmography (PPG), and Electrocardiogram (ECG) are generally used for any …
Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional LSTM
Cardiac arrhythmia is associated with abnormal electrical activities of the heart, which can
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …
High-performance personalized heartbeat classification model for long-term ECG signal
P Li, Y Wang, J He, L Wang, Y Tian… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …
Perirhinal input to neocortical layer 1 controls learning
INTRODUCTION Arguably one of the biggest mysteries in neuroscience is how the brain
stores long-term memories. Since the 1950s, it has been well established that long-term …
stores long-term memories. Since the 1950s, it has been well established that long-term …
ECG signal enhancement based on improved denoising auto-encoder
P **ong, H Wang, M Liu, S Zhou, Z Hou, X Liu - Engineering Applications of …, 2016 - Elsevier
The electrocardiogram (ECG) is a primary diagnostic tool for examining cardiac tissue and
structures. ECG signals are often contaminated by noise, which can manifest with similar …
structures. ECG signals are often contaminated by noise, which can manifest with similar …
Fractional S-transform and its properties: a comprehensive survey
In time–frequency analysis, generalization of S-transform (ST) is known as fractional S-
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
transform. Recently, fractional S-transform (FrST) has played an important role in the area of …
ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features
G Liu, X Han, L Tian, W Zhou, H Liu - Computer Methods and Programs in …, 2021 - Elsevier
Abstract Background and Objective Electrocardiogram (ECG) quality assessment is
significant for automatic diagnosis of cardiovascular disease and reducing the massive …
significant for automatic diagnosis of cardiovascular disease and reducing the massive …
An ECG signal denoising method using conditional generative adversarial net
X Wang, B Chen, M Zeng, Y Wang, H Liu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In this paper, a novel denoising method for electrocardiogram (ECG) signal is proposed to
improve performance and availability under multiple noise cases. The method is based on …
improve performance and availability under multiple noise cases. The method is based on …
ECG beats classification using mixture of features
MK Das, S Ari - International scholarly research notices, 2014 - Wiley Online Library
Classification of electrocardiogram (ECG) signals plays an important role in clinical
diagnosis of heart disease. This paper proposes the design of an efficient system for …
diagnosis of heart disease. This paper proposes the design of an efficient system for …
A stacked contractive denoising auto-encoder for ECG signal denoising
P **ong, H Wang, M Liu, F Lin, Z Hou… - Physiological …, 2016 - iopscience.iop.org
As a primary diagnostic tool for cardiac diseases, electrocardiogram (ECG) signals are often
contaminated by various kinds of noise, such as baseline wander, electrode contact noise …
contaminated by various kinds of noise, such as baseline wander, electrode contact noise …