Intraoperative management of critical arrhythmia [PDF]
Korean Journal of Anesthesiology, 2017 The incidence of intraoperative arrhythmia is extremely high, and some arrhythmias require clinical attention. Therefore, it is essential for the anesthesiologist to evaluate risk factors for arrhythmia and understand their etiology, electrophysiology ...
Chang Hee Kwon, Seong-Hyop Kim
doaj +1 more source
Echocardiography Segmentation with Enforced Temporal Consistency [PDF]
, 2021 Convolutional neural networks (CNN) have demonstrated their ability to segment 2D cardiac ultrasound images. However, despite recent successes according to which the intra-observer variability on end-diastole and end-systole images has been reached, CNNs still struggle to leverage temporal information to provide accurate and temporally consistent ...
arxiv +1 more source
Plasma N-Terminal Pro-Brain Natriuretic Peptide as Prognostic Marker in Fatal Cardial Decompensation with Sunitinib Malate Therapy [PDF]
, 2010 A 74-year-old man with metastatic renal cell carcinoma and a history of cardiac failure was treated with sunitinib malate. MUGA echocardiography could not detect a relevant change in the ejection fraction although the clinical situation of the patient ...
Haseke, Nicolas +4 more
core +1 more source
Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging [PDF]
, 2016 Background: The goal of this paper is to present a computational fluid dynamic (CFD) model with moving boundaries to study the intraventricular flows in a patient-specific framework.
Bavo, Alessandra +6 more
core +2 more sources
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI [PDF]
arXiv, 2021 Patient-specific left ventricle (LV) myocardial models have the potential to be used in a variety of clinical scenarios for improved diagnosis and treatment plans. Cine cardiac magnetic resonance (MR) imaging provides high resolution images to reconstruct patient-specific geometric models of the LV myocardium. With the advent of deep learning, accurate
arxiv
The Human Heart: Deviating from the Golden Ratio and Diagnosing Disease [PDF]
, 2021 The golden ratio (golden section, golden mean, divine proportion) is an irrational number whose value is approximately Φ = 1.618. The golden ratio has imposed itself throughout history as a kind of principle of unison and harmony that is so subtly and ...
Ibranovic, Merjema, Omerbasic, Ago
core +1 more source
Local and global measures of information storage for the assessment of heartbeat-evoked cortical responses [PDF]
, 2023 Objective: Brain–heart interactions involve bidirectional effects produced by bottom-up input at each heartbeat, and top-down neural regulatory responses of the brain.
Antonacci Yuri +7 more
core +1 more source
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy [PDF]
arXiv, 2023 Quantification of cardiac motion with cine Cardiac Magnetic Resonance Imaging (CMRI) is an integral part of arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis. Yet, the expert evaluation of motion abnormalities with CMRI is a challenging task.
arxiv
Cardiac alternans and intracellular calcium cycling [PDF]
Clinical and Experimental Pharmacology and Physiology, 2014 SummaryCardiac alternans refers to a condition in which there is a periodic beat‐to‐beat oscillation in electrical activity and the strength of cardiac muscle contraction at a constant heart rate. Clinically, cardiac alternans occurs in settings that are typical for cardiac arrhythmias and has been causally linked to these conditions.
Joshua N. Edwards, Lothar A. Blatter
openaire +3 more sources
Interactions between cardiac activity and conscious somatosensory perception
, 2019 Fluctuations in the heart's activity can modulate the access of external stimuli to consciousness. The link between perceptual awareness and cardiac signals has been investigated mainly in the visual and auditory domain. Here, we investigated whether the
Al, E. +5 more
core +1 more source