Anticoagulation is a critical component in the treatment of cardiovascular diseases. Large randomised controlled trials have ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Please provide your email address to receive an email when new articles are posted on . An AI model accurately detected features of myocardial ischemia and coronary microvascular and vasomotor ...
Background: Hypertrophic cardiomyopathy (HCM) often presents later in the disease course, with frequent delays in diagnoses, high rates of misdiagnoses, and underdiagnosis on a population level.
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
Background: Left ventricular diastolic dysfunction (LVDD), a key precursor to heart failure with preserved ejection fraction, is frequently underdiagnosed using on routine electrocardiography (ECG).
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ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
Outflow tract ventricular arrhythmias (OT-VAs) are the most common type of idiopathic VAs.1 Despite their often benign clinical presentation, patients may experience symptoms that may severely impact ...
Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...
Abstract: State estimation of electrocardiography (ECG) signals plays a crucial role in effective cardiac monitoring systems and assists in the early detection of abnormalities. However, ECG signals ...