Sputum
发表于 2025-3-23 10:10:39
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
发表于 2025-3-23 17:14:37
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
发表于 2025-3-23 20:06:15
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Jacket
发表于 2025-3-23 23:14:11
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
发表于 2025-3-24 04:27:03
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前奏曲
发表于 2025-3-24 09:37:59
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,
发表于 2025-3-24 10:50:47
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Foreshadow
发表于 2025-3-24 16:03:16
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neurologist
发表于 2025-3-24 19:33:24
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enflame
发表于 2025-3-25 01:48:09
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