Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Biometric technologies offer much convenience over the conventional approaches to identity recogniti...
Smart health is quickly boosted by technological advancements: smart sensors, body sensor network, i...
Automatic myocardial infarction (MI) detection using an electrocardiogram (ECG) is of great signific...
Cuff-less blood pressure (BP) is a potential method for BP monitoring because it is undisturbed and ...
Electrocardiogram (ECG) delineation is a process to detect multiple characteristic points, which con...
Atrial fibrillation (AF) is one of the most common arrhythmias. The automatic AF detection is of gre...
Chest compressions delivered during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG ...
Atrial fibrillation (AF) and atrial flutter (AFL) represent atrial arrhythmias closely related to in...
The classification of the heartbeat type is an essential function in the automatical electrocardiogr...
Cardiovascular disease (CVD) is one of the diseases with the highest mortality rate in modern societ...
Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) s...
Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphol...
OBJECTIVE: To classify Right Bundle Branch Block (RBBB),Left Bundle Branch Block (LBBB) and normal E...
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...
Robotic-assisted PCI appears to be safe and feasible in both simple and complex lesions. In this sma...
OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accuratel...
In this study, a sensitive and accurate aptasensor was designed for early detection of myocardial in...
Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...
The creation of big clinical data cohorts for machine learning and data analysis require a number of...
The number of features that can be extracted from ECG signals has increased with the advancement in ...