Electrocardiogram (ECG) signal quality assessment (SQA) plays a vital role in significantly
improving the diagnostic accuracy and reliability of unsupervised ECG analysis systems. In …

Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …

The identification of the exact positions of the first and second heart sounds within a
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …

Objective: This work aims to validate a set of data processing methods for variability metrics,
which hold promise as potential indicators for autonomic function, prediction of adverse …

Objective: Rapid advances of high-throughput technologies and wide adoption of electronic
health records (EHRs) have led to fast accumulation of–omic and EHR data. These …

Recently, development of wearable and Internet of Things (IoT) technologies enables the
real-time and continuous individual electrocardiogram (ECG) monitoring. In this paper, we …

Various models have been proposed for the estimation of blood pressure (BP) from pulse
transit time (PTT). PTT is defined as the time delay of the pressure wave, produced by left …

The field of electrocardiography has been in existence for over a century, yet despite
significant advances in adult clinical electrocardiography, signal processing techniques and …

Correct detection and classification of ventricular fibrillation (VF) and rapid ventricular
tachycardia (VT) is of pivotal importance for an automatic external defibrillator and patient …

An automated algorithm to assess electrocardiogram (ECG) quality for both normal and
abnormal rhythms is presented for false arrhythmia alarm suppression of intensive care unit …