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Photoplethysmography-derived approximate entropy and sample entropy as measures of analgesia depth during propofol–remifentanil anesthesia
The ability to monitor the physiological effect of the analgesic agent is of interest in clinical practice. Nonstationary changes would appear in...
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A Bayesian maximum entropy model for predicting tsetse ecological distributions
BackgroundAfrican trypanosomiasis is a tsetse-borne parasitic infection that affects humans, wildlife, and domesticated animals. Tsetse flies are...
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Nonparametric estimation of population average dose-response curves using entropy balancing weights for continuous exposures
Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have...
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Nonlinear analysis of beat-to-beat variability of action potential time series data identifies dynamic re-entrant substrates in a hypokalaemic mouse model of acquired long QT syndrome
BackgroundPrevious studies have quantified repolarization variability using time-domain, frequency-domain and nonlinear analysis in mouse hearts....
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Beta-blockers and mechanical dyssynchrony in heart failure assessed by radionuclide ventriculography
BackgroundRadionuclide ventriculography (RNVG) can be used to quantify mechanical dyssynchrony and may be a valuable adjunct in the assessment of...
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The complexity analysis of cerebral oxygen saturation during pneumoperitoneum and Trendelenburg position: a retrospective cohort study
BackgroundThe human brain is a highly complex and nonlinear system, nonlinear complexity measures such as approximate entropy (ApEn) and sample...
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An automated detection of epileptic seizures EEG using CNN classifier based on feature fusion with high accuracy
BackgroundEpilepsy is a neurological disorder that is usually detected by electroencephalogram (EEG) signals. Since manual examination of epilepsy...
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Early detection of cancer therapy cardiotoxicity by radionuclide angiography: An update
Cancer therapy-induced cardiotoxicity is an emerging clinical and healthcare issue. Myocardial dysfunction and heart failure are mostly responsible...
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Early and Accurate Detection of Radiation-induced Heart Damage by Cardiodynamicsgram
Cardiodynamicsgram (CDG) has emerged recently as a noninvasive spatiotemporal electrocardiographic method for subtle cardiac dynamics information...
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Demographic Indicators of Probability Models
Abstract —Describing mortality dynamics using average indicators without considering variability can yield average results, impeding the analysis of...
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Monitoring of anesthetic depth and EEG band power using phase lag entropy during propofol anesthesia
BackgroundPhase lag entropy (PLE) is a novel anesthetic depth indicator that uses four-channel electroencephalography (EEG) to measure the temporal...
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Quasi-rerandomization for observational studies
BackgroundIn the causal analysis of observational studies, covariates should be carefully balanced to approximate a randomized experiment. Numerous...
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A study on different types of moral courage and co** styles of clinical nurses: based on potential profile analysis
BackgroundIn professional ethics-related events, there are various unpleasant and complex ethical issues that require strong moral courage. Our aim...
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Segmentation-Based Fusion of CT and MR Images
In this paper, a segmentation-based image fusion method is proposed for the fusion of MR and CT images to obtain a high contrast fused image that...
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Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy
PurposeLymphoma detection and segmentation from PET images are critical tasks for cancer staging and treatment monitoring. However, it is still a...
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How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP?
Clinicians evaluate swallow kinematic events by analyzing videofluoroscopy (VF) images for dysphagia management. The duration of upper esophageal...
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Radionuclide ventriculography phase analysis for risk stratification of patients undergoing cardiotoxic cancer therapy
BackgroundAccurate diagnostic tools to identify patients at risk of cancer therapy-related cardiac dysfunction (CTRCD) are critical. For patients...
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Machine learning-empowered sleep staging classification using multi-modality signals
The goal is to enhance an automated sleep staging system's performance by leveraging the diverse signals captured through multi-modal polysomnography...
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Effects of marathon training on heart rate variability during submaximal running: a comparison of analysis techniques
PurposeAssessment of heart rate variability (HRV) during exercise is an emerging area of study. Measurements of HRV are characterized by domain...
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Initial action output and feedback-guided motor behaviors in autism spectrum disorder
BackgroundSensorimotor issues are common in autism spectrum disorder (ASD), related to core symptoms, and predictive of worse functional outcomes....
