Latest AI and machine learning research in myocardial infarction for healthcare professionals.
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocar...
UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due t...
OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal qualit...
In this paper a novel training technique is proposed to offer an efficient solution for neural netwo...
Multi-modal bio-sensing has recently been used as effective research tools in affective computing, a...
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF dura...
OBJECTIVE: The prevalence of atrial fibrillation (AF) in the general population is 0.5%-1%. As AF is...
BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that i...
The development of new technology such as wearables that record high-quality single channel ECG, pro...
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly p...
Electrocardiogram (ECG) classification is an important process in identifying arrhythmia, and neural...
Routine stress monitoring in daily life can predict potentially serious health impacts. Effective st...
Atrial fibrillation (AF) is a serious cardiovascular disease with the phenomenon of beating irregula...
OBJECTIVE: In this paper, a support vector machine (SVM) approach using statistical features, P wave...
Obstructive sleep apnea (OSA) is a sleep disorder caused due to interruption of breathing resulting ...
Detecting and classifying cardiac arrhythmias is critical to the diagnosis of patients with cardiac ...
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...
Cardiac activity has been monitored continuously in daily life by virtue of advanced medical instrum...
In this study, we propose a method for the automated detection of obstructive sleep apnea (OSA) from...
Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...