Wearables can be helpful in understanding whether the lifestyle changes you’ve made are having a measurable effect on your heart health.

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

A smart T-shirt with the power of AI could in the future detect heart conditions as people go about their daily lives, thanks ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...

Viz.ai, the leader in AI-powered disease detection and intelligent care coordination, today announced new clinical data demonstrating how Viz HCM enables faster, accurate detection of hypertrophic ...

Background: Pulmonary hypertension (PH) is a life-threatening disease affecting up to 1% of the global population. Diagnosis can be challenging and is often delayed due to the need for advanced ...

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 ...

Abstract: A wavelet-based electrocardiogram (ECG) data compression algorithm is proposed in this paper. The ECG signal is first preprocessed, the discrete wavelet transform (DWT) is then applied to ...