Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data.

ABSTRACT: Sepsis is defined by life-threatening organ dysfunction during infection and is one of the leading causes of critical illness. During sepsis, there is high risk that new-onset of atrial fibrillation (AF) can occur, which is associated with significant morbidity and mortality. As a result, computer aided automated and reliable detection of new-onset AF during sepsis is crucial, especially for the critically ill patients in the intensive care unit (ICU). In this paper, a novel automated and robust two-step algorithm to detect AF from ICU patients using electrocardiogram (ECG) signals is presented. First, several statistical parameters including root mean square of successive differences, Shannon entropy, and sample entropy were calculated from the heart rate for the screening of possible AF

SUBMITTER: Bashar SK 

PROVIDER: S-EPMC7670858 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature