A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms

R Alcaraz, JJ Rieta - Biomedical Signal Processing and Control, 2010 - Elsevier
The application of non-linear metrics to physiological signals is a valuable tool because
“hidden information” related to underlying mechanisms can be obtained. In this respect …

Circadian rhythm disruption in the critically ill: an opportunity for improving outcomes

MA Oldham, HB Lee, PH Desan - Critical care medicine, 2016 - journals.lww.com
Objectives: Circadian rhythms are severely disrupted among the critically ill. These circadian
arrhythmias impair mentation, immunity, autonomic function, endocrine activity, hormonal …

Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study

AM Drewry, BM Fuller, TC Bailey, RS Hotchkiss - Critical Care, 2013 - Springer
Introduction Early treatment of sepsis improves survival, but early diagnosis of hospital-
acquired sepsis, especially in critically ill patients, is challenging. Evidence suggests that …

Aerobic and combined exercise sessions reduce glucose variability in type 2 diabetes: crossover randomized trial

FR Figueira, D Umpierre, KR Casali, PS Tetelbom… - PloS one, 2013 - journals.plos.org
Purpose To evaluate the effects of aerobic (AER) or aerobic plus resistance exercise
(COMB) sessions on glucose levels and glucose variability in patients with type 2 diabetes …

[HTML][HTML] Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence

S Boussen, M Benard-Tertrais, M Ogéa, A Malet… - Computers in Biology …, 2024 - Elsevier
Background In intensive care units (ICUs), accurate mortality prediction is crucial for effective
patient management and resource allocation. The Simplified Acute Physiology Score II …

Characterization of sample entropy in the context of biomedical signal analysis

M Aboy, D Cuesta-Frau, D Austin… - 2007 29th Annual …, 2007 - ieeexplore.ieee.org
Sample entropy (SampEn) has been proposed as a method to overcome limitations
associated with approximate entropy (ApEn). The initial paper describing the SampEn metric …

Temperature variability analysis using wavelets and multiscale entropy in patients with systemic inflammatory response syndrome, sepsis, and septic shock

VE Papaioannou, IG Chouvarda, NK Maglaveras… - Critical Care, 2012 - Springer
Background Even though temperature is a continuous quantitative variable, its
measurement has been considered a snapshot of a process, indicating whether a patient is …

[PDF][PDF] Infrared thermographic investigation of fingers and palms during and after application of cuff occlusion test in patients with hemorrhagic shock

AL Urakov, AA Kasatkin, NA Urakova… - Thermology …, 2014 - eurothermology.org
SUMMARY BACKGROUND: Measurements of skin temperature has been used to predict
the chance for survival in critically ill subjects since 1969. AIM OF THE STUDY: To …

Abnormalities in the 24‐hour rhythm of skin temperature in cirrhosis: Sleep‐wake and general clinical implications

M Garrido, D Saccardo, M De Rui, E Vettore… - Liver …, 2017 - Wiley Online Library
Abstract Background & Aims Sleep preparation/onset are associated with peripheral
vasodilatation and a decrease in body temperature. The hyperdynamic syndrome exhibited …

Variability analysis and the diagnosis, management, and treatment of sepsis

CA Buchan, A Bravi, AJE Seely - Current infectious disease reports, 2012 - Springer
Severe sepsis leading to organ failure is the most common cause of mortality among
critically ill patients. Variability analysis is an emerging science that characterizes patterns of …