A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …
A novel attentional deep neural network-based assessment method for ECG quality
ECG quality assessment is of great significance to reduce false alarms in automatic
arrhythmia and other cardiovascular diseases diagnoses and reduce the workload of …
arrhythmia and other cardiovascular diseases diagnoses and reduce the workload of …
A review on atrial fibrillation detection from ambulatory ECG
Atrial fibrillation (AF) is a prevalent clinical arrhythmia disease and is an important cause of
stroke, heart failure, and sudden death. Due to the insidious onset and no obvious clinical …
stroke, heart failure, and sudden death. Due to the insidious onset and no obvious clinical …
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 …
A deformable CNN architecture for predicting clinical acceptability of ECG signal
The degraded quality of the electrocardiogram (ECG) signals is the main source of false
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
A deep learning approach for featureless robust quality assessment of intermittent atrial fibrillation recordings from portable and wearable devices
ÁH Herraiz, A Martínez-Rodrigo, V Bertomeu-González… - Entropy, 2020 - mdpi.com
Atrial fibrillation (AF) is the most common heart rhythm disturbance in clinical practice. It
often starts with asymptomatic and very short episodes, which are extremely difficult to detect …
often starts with asymptomatic and very short episodes, which are extremely difficult to detect …
Neural architecture search for real-time quality assessment of wearable multi-lead ECG on mobile devices
H Tan, J Lai, Y Liu, Y Song, J Wang, M Chen… - … Signal Processing and …, 2022 - Elsevier
Users need to pay for the medical services of the wearable ECG signals. The complicated
interferences of wearable ECG may cause invalid medical diagnosis. To save medical …
interferences of wearable ECG may cause invalid medical diagnosis. To save medical …
Electrocardiogram quality assessment with a generalized deep learning model assisted by conditional generative adversarial networks
The electrocardiogram (ECG) is widely used for cardiovascular disease diagnosis and daily
health monitoring. Before ECG analysis, ECG quality screening is an essential but time …
health monitoring. Before ECG analysis, ECG quality screening is an essential but time …
Deep learning-based signal quality assessment for wearable ECGs
X Zhang, J Li, Z Cai, L Zhao… - IEEE Instrumentation & …, 2022 - ieeexplore.ieee.org
Nowadays, use of the dynamic electrocardiogram (ECG) has developed rapidly because of
the wide application of wearable devices [1]–[3]. Most ECG-based diagnostic algorithms …
the wide application of wearable devices [1]–[3]. Most ECG-based diagnostic algorithms …
FGSQA-Net: A weakly supervised approach to fine-grained electrocardiogram signal quality assessment
H Liu, T Gao, Z Liu, M Shu - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Objective: Due to the lack of fine-grained labels, current research can only evaluate the
signal quality at a coarse scale. This article proposes a weakly supervised fine-grained …
signal quality at a coarse scale. This article proposes a weakly supervised fine-grained …