Results 21 to 30 of about 203,582 (316)

Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG [PDF]

, 2023
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their data-driven character, they bear the potential to handle signal noise efficiently, but its influence on the accuracy of these methods is still unclear.
arxiv   +1 more source

Acute Pericarditis: Electrocardiogram

Journal of Education and Teaching in Emergency Medicine, 2016
HPI: A 22 year-old male presented to the emergency department with a chief complaint of retrosternal chest pain that started yesterday. He described the pain as a constant, sharp and pleuritic.
Jason Mefford, Shannon Toohey
doaj   +1 more source

The value of the electrocardiogram in the recognition of cardiac amyloidosis: a systematic meta-analysis

BMC Cardiovascular Disorders
Objective We conducted a systematic review and meta-analysis to assess the diagnostic value of the electrocardiogram (ECG) method in detecting cardiac amyloidosis (CA) to indicate its clinical application. Methods We searched PubMed, Web of Science, OVID
Haitao Sun, Zheng Shi, Wei Liu
doaj   +1 more source

Advanced glycation end products promote the release of endothelial cell‐derived mitocytosis

FEBS Open Bio, EarlyView.
Under diabetic conditions, AGEs induce mitochondrial damage in HUVECs, activating migrasome‐mediated mitocytosis. Migrasomes encapsulate damaged mitochondria and are released into the extracellular space, facilitating intercellular mitochondrial transfer.
Rong Liu, Yuhao Zhang, Tiantian Ge, Hao Wu, Yongbin Ma, Honghua Ye, Fei Guo   +6 more
wiley   +1 more source

Fosinopril inhibits Ang II-induced VSMC proliferation, phenotype transformation, migration, and oxidative stress through the TGF-β1/Smad signaling pathway

Open Life Sciences
Fosinopril (FOS) is an angiotensin-converting enzyme inhibitor that can decrease angiotensin II (Ang II) formation, thereby reducing systemic vasoconstriction.
Chen Siqi, Ye Lingxiang
doaj   +1 more source

Phase 1, First‐In‐Human, Single‐/Multiple‐Ascending Dose Study of Iluzanebart in Healthy Volunteers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of iluzanebart, a fully human monoclonal antibody TREM2 (triggering receptor expressed on myeloid cells 2) agonist, after single‐ (SAD) and multiple‐ascending‐dose (MAD) administration.
Andreas Meier, Spyros Papapetropoulos, Andrew Marsh, Kelly Neelon, David Stiles, Ryan O'Mara, Evan A. Thackaberry, Marco Colonna, Raj Rajagovindan   +8 more
wiley   +1 more source

Phase space embedding of electrocardiograms [PDF]

, 1998
We study properties of the human electrocardiogram under the working hypothesis that fluctuations beyond the regular structure of single cardiac cycles are unpredictable. On this background we discuss the possibility to use the phase space embedding method for this kind of signal. In particular, the specific nature of the stochastic or high dimensional
arxiv   +1 more source

ADAPT NXT: Fixed Cycles or Every‐Other‐Week IV Efgartigimod in Generalized Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This phase 3b, open‐label, randomized ADAPT NXT study investigated the efficacy, safety, and tolerability of efgartigimod administered in either a fixed cycles dosing regimen (3 cycles of 4 once‐weekly infusions, with 4 weeks between cycles) or a cycle followed by every‐other‐week (Q2W) dosing.
Ali A. Habib, Kristl G. Claeys, Vera Bril, Yessar Hussain, Kelly Gwathmey, Gregory Sahagian, Elena Cortés‐Vicente, Edward Brauer, Deborah Gelinas, Anne Sumbul, Rosa H. Jimenez, Daniela Hristova, Delphine Masschaele, Renato Mantegazza, Andreas Meisel, Shahram Attarian, On behalf of the ADAPT NXT Study Group   +16 more
wiley   +1 more source

Domain Selection for Gaussian Process Data: An application to electrocardiogram signals [PDF]

arXiv, 2023
Gaussian Processes and the Kullback-Leibler divergence have been deeply studied in Statistics and Machine Learning. This paper marries these two concepts and introduce the local Kullback-Leibler divergence to learn about intervals where two Gaussian Processes differ the most. We address subtleties entailed in the estimation of local divergences and the
arxiv  

Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp‐EEG and Associations With Sleep Parameters

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho, Heloïse Degros, Jean‐Arthur Micoulaud‐Franchi, Patricia Sagaspe, Emmanuel d'Incau, Paul Galvez, Christian Berthomier, Pierre Philip, Jacques Taillard   +8 more
wiley   +1 more source