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 …
Atrial fibrillation detection using a feedforward neural network
Purpose In this study, we aimed to develop an automatic atrial fibrillation detection
technique for the early prediction of atrial fibrillation, that can be used with wearable devices …
technique for the early prediction of atrial fibrillation, that can be used with wearable devices …
Wearable fetal ECG monitoring system from abdominal electrocardiography recording
Fetal electrocardiography (ECG) monitoring during pregnancy can provide crucial
information for assessing the fetus's health status and making timely decisions. This paper …
information for assessing the fetus's health status and making timely decisions. This paper …
DS-CNN: Dual-stream convolutional neural networks-based heart sound classification for wearable devices
Cardiovascular diseases (CVDs) is considered a serious public health problem due to the
uncertainty of its onset. Consuming wearable devices have increasing popularities for …
uncertainty of its onset. Consuming wearable devices have increasing popularities for …
A multistep paroxysmal atrial fibrillation scanning strategy in long-term ECGs
Atrial fibrillation (AF) is a progressive disease often initially manifested by intermittent
episodes spontaneously terminating and is an insidious disease. The previous work trained …
episodes spontaneously terminating and is an insidious disease. The previous work trained …
Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity
The autonomic nervous system is closely related to cardiovascular diseases (CVDs).
Simultaneous non-invasive recording of skin sympathetic nerve activity (SKNA) and …
Simultaneous non-invasive recording of skin sympathetic nerve activity (SKNA) and …
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 …
Comparison of machine learning algorithms for the quality assessment of wearable ECG signals via lenovo H3 devices
Purpose Electrocardiogram (ECG) signals collected from wearable devices are easily
corrupted with surrounding noise and artefacts, where the signal-to-noise ratio (SNR) of …
corrupted with surrounding noise and artefacts, where the signal-to-noise ratio (SNR) of …
Non-contact electrocardiograms acquisition method based on capacitive coupling
Electrocardiogram (ECG) monitoring is an essential method for medical diagnosis [1],[2].
With the development of technology, better quality physiological signals can be easily …
With the development of technology, better quality physiological signals can be easily …
An artifact-resistant feature SKNAER for quantifying the burst of skin sympathetic nerve activity signal
Evaluation of sympathetic nerve activity (SNA) using skin sympathetic nerve activity (SKNA)
signal has attracted interest in recent studies. However, signal noises may obstruct the …
signal has attracted interest in recent studies. However, signal noises may obstruct the …