Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

Atrial fibrillation (AF) is a cardiac rhythm disorder associated with increased morbidity and
mortality. It is the leading risk factor for cardioembolic stroke and its early detection is crucial …

Healthcare is expected to increasingly shift care out of inpatient settings thanks to wearable
monitoring systems. Photoplethysmography (PPG) is an optical technique already integrated …

This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …

AF is the most common clinically relevant cardiac arrhythmia associated with multiple
comorbidities, cardiovascular complications (eg stroke) and increased mortality. As artificial …

Atrial fibrillation (AF) is a type of cardiac arrhythmia affecting millions of people every year.
This disease increases the likelihood of strokes, heart failure, and even death. While …

Atrial Fibrillation (AF) is an important cardiac rhythm disorder, which if left untreated can lead
to serious complications such as a stroke. AF can remain asymptomatic, and it can …

We developed an algorithm to detect premature atrial contraction (PAC) and premature
ventricular contraction (PVC) using photoplethysmographic (PPG) data acquired from a …

Objective: Photoplethysmography (PPG) enables unobtrusive heart rate monitoring, which
can be used in wrist-worn applications. Its potential for detecting atrial fibrillation (AF) has …

Objective: A large number of atrial fibrillation (AF) detectors have been published in recent
years, signifying that the comparison of detector performance plays a central role, though not …