- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Diabetes Treatment and Management
- Neonatal and fetal brain pathology
- Metabolism, Diabetes, and Cancer
- Diabetes Management and Research
- Cardiovascular and exercise physiology
- Acupuncture Treatment Research Studies
- Neural dynamics and brain function
- Infant Health and Development
- Effects of Radiation Exposure
- Advanced Chemical Sensor Technologies
- Sports Performance and Training
- Pediatric Pain Management Techniques
- Diabetes and associated disorders
- Myofascial pain diagnosis and treatment
- Adipokines, Inflammation, and Metabolic Diseases
- Health and Lifestyle Studies
- Functional Brain Connectivity Studies
- Cardiovascular Disease and Adiposity
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Healthcare and Venom Research
- Diet and metabolism studies
- Nutrition and Health in Aging
- Physical Education and Training Studies
University of Osijek
2020-2023
Klinički bolnički centar Osijek
2020
Heart rate variability (HRV) has been analysed using linear and nonlinear methods. In the framework of a controlled neonatal stress model, we applied tone–entropy (T–E) analysis at multiple lags to understand influence external stressors on healthy term neonates. Forty neonates were included in study. HRV was multi-lag T–E two resting phases (heel stimulation heel stick blood drawing phase). Higher mean entropy values lower tone when stressed showed reduction randomness with increased...
We aim at detecting stress in newborns by observing heart rate variability (HRV). The HRV features nonlinearities. Fractal dynamics is a usual way to model them and the Hurst exponent summarizes fractal information. In our framework, we have observations of short duration, for which estimators exponent, like detrended fluctuation analysis (DFA), are not adapted. Moreover, observe that does vary much between rest phases, but its decomposition memory underlying properties probability...
To detect stress in newborns by observing heart rate (HR) variability utilizing an asymmetric detrended fluctuation analysis (ADFA), we sought to determine the fractal structure of series inter-beat intervals, so as distinguish periods acceleration HR from decelerations. Thus, two scaling exponents, α + and -, representing decelerations accelerations respectively, are obtained.Forty healthy term were included this study, undergoing different types stimuli: routine heel lance blood sampling...
Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | 1479-6848 (online)
The effect of nicotine is complex and most the research heart rate variability done with tobacco in participants trying to cease smoking. Such studies are limited desensitization nicotinic receptors, emergence abstinence symptoms, overall modified activation autonomic nervous system. aim this study show on young smokers nonsmokers using descriptive spectral analytical methods variability. was conducted 50 (m=23, f=27), average age 21.8±1.49 years, who were divided into (n=26, m=11, f=15)...
Aim: The study aimed to examine LDL cholesterol, triglyceride and urate levels in patients of both sexes with type 2 diabetes mellitus (DM2T) family medicine offices whether there is a difference these parameters between obese normal body weight DM2T, without manifest cardiovascular diseases. Participants methods: was organized as cross-sectional study. It included 136 participants diagnosed who were divided into groups or adiposity experience event. General demographic data collected, well...
<p><strong>Aim <br /></strong>To determine parameters of glycaemic control, renal function and anthropometric measurements in patients with type 2 diabetes family medicine offices to examine whether there is a difference these between genders. <strong>Methods<br /></strong> This cross-sectional study included 136 both genders diagnosed diabetes, an average age 69.33±10.87. General...
Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | 1479-6848 (online)