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: Moderate Cognitive Flexibility as a Key to Affective Flexibility Responses in Long-Term HRV.
Sensors (Basel)
December 2024
Department of Psychology, University of Turin, 10124 Turin, Italy.
This study examines the relationship between cognitive and affective flexibility, two critical aspects of adaptability. Cognitive flexibility involves switching between activities as rules change, assessed through task-switching or neuropsychological tests and questionnaires. Affective flexibility, meanwhile, refers to shifting between emotional and non-emotional tasks or states.
View Article and Find Full Text PDFResearch Progress on the Measurement Methods and Clinical Significance of Capillary Refill Time.
Sensors (Basel)
December 2024
Beijing Tsinghua Changgung Hospital Affiliated to Tsinghua University, 168 Litang Road, Changping District, Beijing 102218, China.
The monitoring of peripheral circulation, as indicated by the capillary refill time, is a sensitive and accurate method of assessing the microcirculatory status of the body. It is a widely used tool for the evaluation of critically ill patients, the guidance of therapeutic interventions, and the assessment of prognosis. In recent years, there has been a growing emphasis on microcirculation monitoring which has led to an increased focus on capillary refill time.
View Article and Find Full Text PDFFused Multi-Domains and Adaptive Variational Mode Decomposition ECG Feature Extraction for Lightweight Bio-Inspired Key Generation and Encryption.
Sensors (Basel)
December 2024
School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Security is one of the increasingly significant issues given advancements in technology that harness data from multiple devices such as the internet of medical devices. While protecting data from unauthorized user access, several techniques are used including fingerprints, passwords, and others. One of the techniques that has attracted much attention is the use of human features, which has proven to be most effective because of the difficulties in impersonating human-related features.
View Article and Find Full Text PDFResearch on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems.
Sensors (Basel)
December 2024
Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing 102617, China.
Arrhythmias are among the diseases with high mortality rates worldwide, causing millions of deaths each year. This underscores the importance of real-time electrocardiogram (ECG) monitoring for timely heart disease diagnosis and intervention. Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field.
View Article and Find Full Text PDFThe Effect of Ingesting Alginate-Encapsulated Carbohydrates and Branched-Chain Amino Acids During Exercise on Performance, Gastrointestinal Symptoms, and Dental Health in Athletes.
Nutrients
December 2024
Department of Clinical Medicine, Aarhus University Hospital, Aarhus University, Palle Juul-Jensens Boulevard 165, 8200 Aarhus, Denmark.
Background: This study aimed to compare the effects of a carbohydrate (CHO) hydrogel with (ALG-CP) or without (ALG-C) branched-chain amino acids, and a CHO-only non-hydrogel (CON), on cycling performance. The hydrogels, encapsulated in an alginate matrix, are designed to control CHO release, potentially optimising absorption, increasing substrate utilisation, and reducing gastrointestinal distress as well as carious lesions.
Methods: In a randomised, double-blinded, crossover trial, 10 trained male cyclists/triathletes completed three experimental days separated by ~6 days.
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