Cardiovascular

Arrhythmias

Latest AI and machine learning research in arrhythmias for healthcare professionals.

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Showing 2122-2142 of 2,496 articles
Phase-domain Deep Patient-ECG Image Learning for Zero-effort Smart Health Security.

Smart health is quickly boosted by technological advancements: smart sensors, body sensor network, i...

Jul 2019 31946434
ECG Biometric Recognition: Template-Free Approaches Based on Deep Learning.

Biometric technologies offer much convenience over the conventional approaches to identity recogniti...

Jul 2019 31946436
The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network.

Capacitive ECG (cECG) can measure the cardiac electrical signal via capacitive coupling between elec...

Jul 2019 31946631
Cardiovascular disease diagnosis using cross-domain transfer learning.

While cardiovascular diseases (CVDs) are commonly diagnosed by cardiologists via inspecting electroc...

(2)
Jul 2019 31946810
Convolutional Neural Network Based Detection of Atrial Fibrillation Combing R-R intervals and F-wave Frequency Spectrum.

Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this stu...

Jul 2019 31946958
RespNet: A deep learning model for extraction of respiration from photoplethysmogram.

Respiratory ailments afflict a wide range of people and manifests itself through conditions like ast...

Jul 2019 31947114
Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat Classification.

Automatic classification of abnormal beats in ECG signals is crucial for monitoring cardiac conditio...

Jul 2019 31947133
[Automatic classification method of arrhythmia based on discriminative deep belief networks].

Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) s...

(2)
Jun 2019 31232548
Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.

IMPORTANCE: For patients with chronic kidney disease (CKD), hyperkalemia is common, associated with ...

May 2019 30942845
[Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias].

Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphol...

Apr 2019 31016934
A new deep learning model for assisted diagnosis on electrocardiogram.

In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep lea...

(1)
Mar 2019 31137223
Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...

Mar 2019 30827132
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent epis...

Feb 2019 30508072
[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accuratel...

Jan 2019 30692069
An Ontology Approach for Knowledge Representation of ECG Data.

The number of features that can be extracted from ECG signals has increased with the advancement in ...

Jan 2019 30741250
Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...

Jan 2019 31156106
ZerobotĀ®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Since 2012, we have been developing a remote-controlled robotic system (ZerobotĀ®) for needle inserti...

(1)
Dec 2018 30573907
Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks.

This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based authenticati...

Jul 2018 30440406
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...

Jul 2018 30440930
Real-Time Cardiac Arrhythmia Classification Using Memristor Neuromorphic Computing System.

Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, devel...

(1)
Jul 2018 30440932
Classification of Heart Diseases Based On ECG Signals Using Long Short-Term Memory.

Heart disease classification based on electrocardiogram(ECG) signal has become a priority topic in t...

Jul 2018 30440962
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