Results 41 to 50 of about 251,165 (297)

ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks [PDF]

open access: yesarXiv, 2023
Arrhythmia is just one of the many cardiovascular illnesses that have been extensively studied throughout the years. Using multi-lead ECG data, this research describes a deep learning (DL) pipeline technique based on convolutional neural network (CNN) algorithms to detect cardiovascular lar arrhythmia in patients.
arxiv  

Diminished Left Ventricular Dyssynchrony and Impact of Resynchronization in Failing Hearts With Right Versus Left Bundle Branch Block [PDF]

open access: yes, 2007
ObjectivesWe compared mechanical dyssynchrony and the impact of cardiac resynchronization therapy (CRT) in failing hearts with a pure right (RBBB) versus left bundle branch block (LBBB).BackgroundCardiac resynchronization therapy is effective for ...
Berger, Ronald D.   +7 more
core   +1 more source

Structural Causes of Right Bundle Branch Block—Time for a Closer Look? [PDF]

open access: yes, 2010
Right bundle branch block is an electrocardiographic phenomenon with specific ...
Abildskov JA   +13 more
core   +2 more sources

On the SO(n+3) to SO(n) branching multiplicity space [PDF]

open access: yesComptes Rendus Acad. Sci. Paris, Ser. I Math. 356 (2018), 1112-1124, 2018
We study the decomposition as an $\textrm{SO}(3)$-module of the multiplicity space corresponding to the branching from $\textrm{SO}(n+3)$ to $\textrm{SO}(n)$. Here, $\textrm{SO}(n)$ (resp.\ $\textrm{SO}(3)$) is considered embedded in $\textrm{SO}(n+3)$ in the upper left-hand block (resp.\ lower right-hand block). We show that when the highest weight of
arxiv   +1 more source

Factorization of point configurations, cyclic covers and conformal blocks [PDF]

open access: yesJournal of the EMS, Volume 17, Issue 10, 2015, pp. 2453-2471, 2012
We describe a relation between the invariants of $n$ ordered points in $P^d$ and of points contained in a union of linear subspaces $P^{d1}\cup P^{d2} \subset P^d$. This yields an attaching map for GIT quotients parameterizing point configurations in these spaces, and we show that it respects the Segre product of the natural GIT polarizations ...
arxiv   +1 more source

Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study [PDF]

open access: yesarXiv, 2021
Electrocardiogram recognition of cardiac arrhythmias is critical for cardiac abnormality diagnosis. Because of their strong prediction characteristics, artificial neural networks are the preferred method in medical diagnosis systems. This study presents a method to detect atrial fibrillation with lead-I ECGs using artificial intelligence.
arxiv  

Arytmia z piekła rodem. Idiopatyczny pęczkowy częstoskurcz komorowy u młodej kobiety [PDF]

open access: yes, 2021
Idiopathic left fascicular ventricular tachycardia (ILFVT) is characterized by right bundle branch block (RBBB) morphology and left axis deviation.
Książczyk, Marcin   +3 more
core   +2 more sources

Acute myocardial infarction associated with right bundle branch block and changeable trifascicular block: a case report

open access: yesJournal of Acute Disease, 2019
Rationale: Acute myocardial infarction in the presence of right bundle branch block. Patient concerns: A 70-year-old, male heavy smoker presented with angina and hypertension.
Yasser Mohammed Hassanain Elsayed
doaj   +1 more source

Prognostic significance of right bundle branch block in patients with acute inferior myocardial infarction [PDF]

open access: yes, 2009
There is little information available concerning the influence of right bundle branch block (RBBB) on the prognosis of patients with inferior myocardial infarction (MI).
Iwasaki, Jun   +8 more
core   +1 more source

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

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