Noise reduction in ECG signals using fully convolutional denoising autoencoders
The electrocardiogram (ECG) is an efficient and noninvasive indicator for arrhythmia
detection and prevention. In real-world scenarios, ECG signals are prone to be …
detection and prevention. In real-world scenarios, ECG signals are prone to be …
ECG signal enhancement based on improved denoising auto-encoder
P Xiong, 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 …
A QRS detection and R point recognition method for wearable single-lead ECG devices
CL Chen, CT Chuang - Sensors, 2017 - mdpi.com
In the new-generation wearable Electrocardiogram (ECG) system, signal processing with
low power consumption is required to transmit data when detecting dangerous rhythms and …
low power consumption is required to transmit data when detecting dangerous rhythms and …
A study on ECG signal characterization and practical implementation of some ECG characterization techniques
The role of ECG is pivotal in medical field for the analysis of cardiac physiology and
abnormalities. The interpretation of ECG signal is performed by signal processing algorithms …
abnormalities. The interpretation of ECG signal is performed by signal processing algorithms …
Optimized adaptive noise canceller for denoising cardiovascular signal using SOS algorithm
Cardiovascular or electrocardiogram signals (ECG) are contaminated by various artefacts
while recording which in turn degrades the quality of the vital information present in the …
while recording which in turn degrades the quality of the vital information present in the …
RFID based smart railway pantograph control in a different phase of power line
K Sharma, L Goswami - 2020 Second International Conference …, 2020 - ieeexplore.ieee.org
Today in the entire world, technology is changing at a very fast rate in every engineering
field whether it is related to mechanical or electrical. The railway system has also witnessed …
field whether it is related to mechanical or electrical. The railway system has also witnessed …
Denoising autoencoder for eletrocardiogram signal enhancement
P Xiong, H Wang, M Liu, X Liu - Journal of Medical Imaging …, 2015 - ingentaconnect.com
Eletrocardiogram (ECG) is a useful diagnostic method to detect electrical signals of both
healthy or diseased hearts. However, ECG signals are often contaminated by various types …
healthy or diseased hearts. However, ECG signals are often contaminated by various types …
A Deep Learning-Assisted Skin-Integrated Pulse Sensing System for Reliable Pulse Monitoring and Cardiac Function Assessment
Long-term pulse monitoring plays a vital role in the prevention and diagnosis of
cardiovascular diseases since pulse signals can provide rich characteristics of cardiac …
cardiovascular diseases since pulse signals can provide rich characteristics of cardiac …
A novel approach for real-time ECG signal denoising using Fourier decomposition method
Object The heart is a vital organ in human anatomy, and proper care is essential.
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …
Electrocardiogram (ECG) is a non-invasive and popular tool to monitor cardiac health. ECG …
Wearable graphene nanotextile embedded smart armband for cardiac monitoring
This work reports the synthesis and application of graphene nanotextiles towards the
development of wearable electrocardiography (ECG) sensors for personalized health …
development of wearable electrocardiography (ECG) sensors for personalized health …