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http://dx.doi.org/10.1161/CIRCULATIONAHA.120.053436 | DOI Listing |
J Appl Physiol (1985)
January 2025
Department of Health, Human Performance, and Recreation, Baylor University, Waco, Texas, United States.
Muscle sympathetic nerve activity (MSNA) responsiveness to mental stress is highly variable between individuals. Although stress perception has been posited as a contributor to the MSNA variability during mental stress, prior studies have been inconclusive. Furthermore, the importance of stress appraisal and coping on MSNA reactivity to mental stress has not been investigated.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
December 2024
Animal, Veterinary and Food Sciences, University of Idaho, Moscow, Idaho, United States.
The porcine and human heart are remarkably similar in cardiac physiology and biochemistry. Translational research involving the porcine biomedical model is becoming increasingly applicable for the study of human cardiac function in health and disease. Presently, few protocols exist for collecting experimentally viable cardiac tissue from large animal models, particularly during neonatal maturation.
View Article and Find Full Text PDFAm J Physiol Regul Integr Comp Physiol
December 2024
Human Cardiovascular Physiology Laboratory, Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada.
Sensors (Basel)
September 2024
Department of Materials, The University of Manchester, Manchester M13 9PL, UK.
This comprehensive review offers a thorough examination of fetal heart rate (fHR) monitoring methods, which are an essential component of prenatal care for assessing fetal health and identifying possible problems early on. It examines the clinical uses, accuracy, and limitations of both modern and traditional monitoring techniques, such as electrocardiography (ECG), ballistocardiography (BCG), phonocardiography (PCG), and cardiotocography (CTG), in a variety of obstetric scenarios. A particular focus is on the most recent developments in textile-based wearables for fHR monitoring.
View Article and Find Full Text PDFComput Biol Med
November 2024
BioMedical Machine Learning Lab, School of Biomedical Engineering, UNSW Sydney, Randwick, NSW 2052, Australia.
Cardiovascular diseases represent the leading global cause of death, typically diagnosed and addressed through electrocardiograms (ECG), which record the heart's electrical activity. In recent years, there has been a notable surge in ECG recordings, driven by the widespread use of wearable devices. However, the limited availability of medical experts to analyze these recordings underscores the necessity for automated ECG analysis using computer-aided methods.
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