Titlebook: MEDICON’23 and CMBEBIH’23; Proceedings of the M Almir Badnjević,Lejla Gurbeta Pokvić Conference proceedings 2024 The Editor(s) (if applicab

Sputum

Fractal Characteristics of Retinal Microvascular Network in Alzheimer’s Disease and Colon Cancer in f cancer is very low. These findings imply that both diseases develop through deregulation of a common pathophysiological process, which in each disease occurs in the opposite direction. In this study, we aimed to see if these differences are reflected by changes in retinal microvascular network com

Anticoagulant

Classification of Atrial Fibrillation ECG Signals Using 2D CNNeural Network (CNN). The input to the network is a 2D scalogram calculated by applying the Continuous Wavelet Transform (CWT) on five heartbeats segments of an ECG signal. The motivation behind converting the ECG signal to a 2D image is to use deep features, including time and frequency domain featu

Pruritus

Jacket

Investigating the Physiology Behind Nose Thermal Response to Stress: A Cross-Mapping Approach non-invasive manner. IRT is contactless and it measures the temperature of the skin remotely. Thermal patterns of the skin are driven by the autonomic nervous system, thus, they reflect autonomic responses to affective stimuli. Insights into the physiology be hind changes in facial thermal patterns

sleep-spindles

前奏曲

Postprandial Peak Identification from Continuous Glucose Monitoring Time Seriestes (T1D) patients. CGMs are becoming popular in people without diabetes and with Type 2 diabetes (T2D) due to their rising commercial availability and effectiveness. They are a useful tool for understanding individuals’ dynamic blood responses to food. However, before such information can be extrac

无王时期,

Foreshadow

neurologist

enflame

Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-Based Approach for thethe brain wave amplitudes measured from electroencephalographic (EEG) signals. To achieve this objective, linear autoregressive models are employed to characterize time-series of the spectral power extracted from EEG signals, timed with the heartbeat, by using a measure of predictability. The analys