Latest AI and machine learning research in arrhythmias for healthcare professionals.
Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery,...
Electrical data could be a new source of big-data for training artificial intelligence (AI) for drug...
Cardiac arrhythmia is a deadly disease that threatens the lives of millions of people, which shows t...
Personalized, image-based computational heart modelling is a powerful technology that can be used to...
Using ECG signals captured by wearable devices for emotion recognition is a feasible solution. We pr...
Electrocardiograms (EKG) form the backbone of all cardiovascular diagnosis, treatment and follow up....
BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance c...
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...
Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term ECG moni...
INTRODUCTION: Pulmonary embolism (PE) is a life-threatening condition, in which diagnostic uncertain...
BACKGROUND: Heart rate variability (HRV) analysis computed on R-R interval series of ECG records wit...
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying car...
This study proposes an electrocardiogram (ECG) signal stitching scheme to detect arrhythmias in driv...
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis ...
BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseas...
BACKGROUND: Artificial intelligence-augmented ECG (AI-ECG) refers to the application of novel AI sol...
Signal analysis is a domain which is an amalgamation of different processes coming together to form ...
Chest pain is a common clinical complaint for which myocardial injury is the primary concern and is ...
Electroencephalography (EEG) is often used to evaluate several types of neurological brain disorders...
Medical device reliability is the ability of medical devices to endure functioning and is indispensa...
Providing reliable detection of QRS complexes is key in automated analyses of electrocardiograms (EC...