Latest AI and machine learning research in arrhythmias for healthcare professionals.
Smart health is quickly boosted by technological advancements: smart sensors, body sensor network, i...
Biometric technologies offer much convenience over the conventional approaches to identity recogniti...
Capacitive ECG (cECG) can measure the cardiac electrical signal via capacitive coupling between elec...
While cardiovascular diseases (CVDs) are commonly diagnosed by cardiologists via inspecting electroc...
Atrial Fibrillation (AF) is one of the arrhythmias that is common and serious in clinic. In this stu...
Respiratory ailments afflict a wide range of people and manifests itself through conditions like ast...
Automatic classification of abnormal beats in ECG signals is crucial for monitoring cardiac conditio...
Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) s...
IMPORTANCE: For patients with chronic kidney disease (CKD), hyperkalemia is common, associated with ...
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphol...
In order to enhance the accuracy of computer aided electrocardiogram analysis, we propose a deep lea...
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent epis...
OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accuratel...
The number of features that can be extracted from ECG signals has increased with the advancement in ...
Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...
Since 2012, we have been developing a remote-controlled robotic system (ZerobotĀ®) for needle inserti...
This paper presents a study using 1D convolutional neural networks (CNNs) for ECG-based authenticati...
Detection of ECG characteristic points serves as the first step in automated ECG analysis techniques...
Cardiac arrhythmia is known to be one of the most common causes of death worldwide. Therefore, devel...
Heart disease classification based on electrocardiogram(ECG) signal has become a priority topic in t...