Recent research for unobtrusive atrial fibrillation detection methods based on cardiac dynamics signals: A survey
F Jiang, Y Zhou, T Ling, Y Zhang, Z Zhu - Sensors, 2021 - mdpi.com
Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple
cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity …
cardiac conditions, such as cerebral artery blockage, stroke, and heart failure. The morbidity …
Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
importance to be able to efficiently diagnose these arrhythmias promptly. There exist many …
An end-to-end 12-leading electrocardiogram diagnosis system based on deformable convolutional neural network with good antinoise ability
Electrocardiogram (ECG) is a tool to help judge heart activity. In recent years, the
convolutional neural network (CNN) and various deep learning algorithms have been widely …
convolutional neural network (CNN) and various deep learning algorithms have been widely …
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks
As the number of people suffering from cardiovascular diseases increases every year, it
becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis …
becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis …
Improving twin support vector machine based on hybrid swarm optimizer for heartbeat classification
The computer-aided diagnosis system is used to reduce the high mortality rate among heart
patients through detecting cardiac diseases at an early stage. Since the process of detecting …
patients through detecting cardiac diseases at an early stage. Since the process of detecting …
Region aggregation network: improving convolutional neural network for ECG characteristic detection
Detection of ECG characteristic points serves as the first step in automated ECG analysis
techniques. We propose a novel end-to-end deep learning scheme called Region …
techniques. We propose a novel end-to-end deep learning scheme called Region …
Comparison of QRS detection algorithms
S Saraswat, G Srivastava… - … Conference on Computing …, 2015 - ieeexplore.ieee.org
An Electrocardiogram (ECG) is graphical representation of the electrical movement of
human heart and used in diagnosis of various heart diseases. The primary function of ECG …
human heart and used in diagnosis of various heart diseases. The primary function of ECG …
A new method for detecting myocardial ischemia based on ECG T-wave area curve (TWAC)
R Li, X Zhao, Y Gong, J Zhang, R Dong… - Frontiers in Physiology, 2021 - frontiersin.org
In recent years, coronary heart disease (CHD) has become one of the main diseases that
endanger human health, with a high mortality and disability rate. Myocardial ischemia (MI) is …
endanger human health, with a high mortality and disability rate. Myocardial ischemia (MI) is …
Real time ECG characteristic point detection with randomly selected signal pair difference (RSSPD) feature and random forest classifier
Detection of ECG characteristic points serves as a first step in many automated ECG
analysis techniques. We propose a novel statistical scheme for ECG recognition. We design …
analysis techniques. We propose a novel statistical scheme for ECG recognition. We design …
[PDF][PDF] Klasifikasi jenis batuan beku melalui citra berwarna dengan menggunakan metode local binary pattern dan k-nearest neighbor
MI Sultoni, B Hidayat… - TEKTRIKA-Jurnal …, 2019 - journals.telkomuniversity.ac.id
Batuan merupakan hasil dari pembentukan ilmiah. Dari proses pembentukannya, umumnya
batuan dibagi menjadi tiga yaitu, batuan beku, batuan sedimen, dan batuan metamorf …
batuan dibagi menjadi tiga yaitu, batuan beku, batuan sedimen, dan batuan metamorf …