Results 221 to 230 of about 150,532 (357)
Abstract Central blood volume (CBV) reduction challenges circulatory and respiratory homeostasis, particularly during the initial compensatory phase (0–2 min), when rapid physiological adaptations occur. In this study, we examined dynamic cardiorespiratory responses to CBV reduction using lower‐body negative pressure (LBNP) in 11 healthy young males ...
Marina Feeley +7 more
wiley +1 more source
Abstract Following an acute infection with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), a substantial percentage of patients report the persistence of debilitating symptoms, often grouped in a syndrome termed ‘long COVID’. We sought to identify potential pathophysiological mechanisms responsible for the persistence, in some long COVID ...
Giovanni Baldassarre +10 more
wiley +1 more source
Correction: Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning. [PDF]
Boribalburephan A +5 more
europepmc +1 more source
Abstract The leading cause of epilepsy‐related mortality is sudden unexpected death in epilepsy (SUDEP), resulting from seizure‐induced cardiorespiratory arrest by mechanisms that remain unresolved. Mutations in ion channel genes expressed in both brain and heart represent SUDEP risk factors because they can disrupt neural and cardiac rhythms ...
Kelsey Halvorson +11 more
wiley +1 more source
Abstract figure legend Schematic illustration of the bidirectional causative link between cerebral amyloid‐beta (Aβ) angiopathy and cardiovascular disease in Alzheimer's disease (AD). Common cardiovascular risk factors like microvascular thrombosis, diabetes, atrial fibrillation, hypertension and atherosclerosis lead to cerebral hypoperfusion and ...
Samuel Parker +2 more
wiley +1 more source
Potential of deep learning in advancing electrocardiography arrhythmia diagnosis in emergency medicine. [PDF]
Inan CB +5 more
europepmc +1 more source
Abstract figure legend In silico trials were conducted in 654 virtual patients with atrial fibrillation (AF) to assess the cardioversion efficacy of three pharmacological treatments: single SK and K2P channel block and combined SK+K2P channel inhibition. Left: representative virtual AF patient with the atria inside the torso.
Albert Dasí +4 more
wiley +1 more source

