1,129 research outputs found
Ablation Lesion Assessment with MRI
Late gadolinium enhancement (LGE) MRI is capable of detecting not only native cardiac fibrosis, but also ablation-induced scarring. Thus, it offers the unique opportunity to assess ablation lesions non-invasively. In the atrium, LGE-MRI has been shown to accurately detect and localise gaps in ablation lines. With a negative predictive value close to 100% it can reliably rule out pulmonary vein reconnection non-invasively and thus may avoid unnecessary invasive repeat procedures where a pulmonary vein isolation only approach is pursued. Even LGE-MRI-guided repeat pulmonary vein isolation has been demonstrated to be feasible as a standalone approach. LGE-MRI-based lesion assessment may also be of value to evaluate the efficacy of ventricular ablation. In this respect, the elimination of LGE-MRI-detected arrhythmogenic substrate may serve as a potential endpoint, but validation in clinical studies is lacking. Despite holding great promise, the widespread use of LGE-MRI is still limited by the absence of standardised protocols for image acquisition and post-processing. In particular, reproducibility across different centres is impeded by inconsistent thresholds and internal references to define fibrosis. Thus, uniform methodological and analytical standards are warranted to foster a broader implementation in clinical practice
Flags in zero dimensional complete intersections and indices of real vector fields
We introduce bilinear forms in a flag in a complete intersection local
-algebra of dimension 0, related to the Eisenbud-Levine,
Khimshiashvili bilinear form. We give a variational interpretation of these
forms in terms of Jantzen's filtration and bilinear forms. We use the
signatures of these forms to compute in the real case the constant relating the
GSV-index with the signature function of vector fields tangent to an even
dimensional hypersurface singularity, one being topologically defined and the
other computable by finite dimensional commutative algebra methods.Comment: 17 pages. v2: Some changes in the introduction. A few typos
corrected. To appear in Mathematische Zeitschrif
Premature atrial contractions: A predictor of atrial fibrillation and a relevant marker of atrial cardiomyopathy
An increased burden of premature atrial contractions (PACs) has long been considered a benign phenomenon. However, strong evidence of their involvement in the occurrence of atrial fibrillation (AF), ischemic stroke, and excess mortality suggests the need for management. The central question to be resolved is whether increased ectopic atrial rhythm is only a predictor of AF or whether it is a marker of atrial cardiomyopathy and therefore of ischemic stroke. After reviewing the pathophysiology of PACs and its impact on patient prognosis, this mini-review proposes to 1) detail the physiological and clinical elements linking PACs and AF, 2) present the evidence in favor of supraventricular ectopic activity as a marker of cardiomyopathy, and 3) outline the current limitations of this concept and the potential future clinical implications
A multisegment dynamic model of ski jumping
This paper presents a planar, four-segment, dynamic model for the flight
mechanics of a ski jumper. The model consists of skis, legs, torso and head,
and anns. Inputs include net joint torques that are used to vary the relative
body configurations of the jumper during fiight. The model also relies on
aerodynamic data from previous wind tunnel tests that incorporate the effects
of varying body configuration and orientation on lift, drag, and pitching
moment. A symbolic manipulation program, "Macsyma," is used to derive
the equations of motion automatically. Experimental body segment orientation
data during the fiight phase arc presented for three ski jumpers which
show how jumpers of varying ability differ in flight and demonstrate tlie need
for a more complex analytical model than that previously presented in the
literature. Simulations are presented that qualitatively match the measured
trajectory for a good jumper. The model can be used as a basis for the study
of optimal jumper behavior in fiight which maximizes jump distance
Plotting Friendship: Male Bonds in Early Nineteenth-Century British Fiction.
“Plotting Friendship: Male Bonds in Early Nineteenth-Century British Fiction” examines the prevalence of stories about male friendship and all-male community in British popular fiction written in the early nineteenth century. Writers in an exploding literary market created hybrid genres that imitated existing ones, but mixed generic attributes. Most of these novels remain critically neglected because of their so-called undeveloped styles and awkward mixed forms. This dissertation examines forgotten works like Life in London, Finish to Life, Paul Clifford, and Jack Sheppard to provide a fuller picture of the culture, the literary marketplace, and readers’ desires, but it also reads afresh canonized novels like Frankenstein and Oliver Twist. The illustrations by George and Robert Cruikshank bring whole other narratives of male friendship; while they ostensibly confirm the same stories, more often than not the visual possesses its own point of view. The illustrations are valuable for tracing what can and cannot be shown visually, as opposed to verbally. Each chapter traces historically specific types of male protagonists who prioritize friendship over marriage. Each features a different kind of all-male triangle. In Chapter One, it structures a cautionary tale of male friends who love too deeply. In Chapter Two, we find a celebrated trio who instruct young male readers urban life. Chapter Three shows us how authors used all-male triangles to invoke images of rogue story traditions within Regency settings. In Chapter Four, elderly bachelors rescue and adopt a workhouse orphan. The wide variety of homosociality and non-connubial heterosexuality represented in these novels, considered in conjunction with their immediate popularity, and their redistribution in subsequent decades, exposes the critical limitations of historical and sexual models based on trajectories of increasing homosocial marginalization and homosexual repression and. Once we recognize the influence of these now mostly forgotten novels as sites for explorations of male homosociality in the period, we can also begin to consider how their novelistic conventions carried over into later literatures.Ph.D.English Language & LiteratureUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/64760/1/legle_1.pd
Differential atrial performance at rest and exercise in athletes: Potential trigger for developing atrial dysfunction?
International audienc
Eroding Potentiometers
Eroding potentiometers have been devised for measuring the time-dependent positions of char fronts advancing through layers of insulating material subject to intense heating from one side. In the original application, the material layers of interest are thermal insulators in rocket motors and the heat comes from firing of the motors, but the principle of operation is equally applicable to other insulating materials subject to intense heating (e.g., ablative fire-retardant materials). Measuring the thickness decrement of propellant (in hybrid motors in particular) is another possible application of this transducer. Telemetry informs mission control of the propellant left after each burn. An eroding potentiometer could be characterized, more precisely, as an eroding two-wire resistor. It includes a twisted pair of thin, insulated wires oriented along the thickness of, and embedded in, the layer of thermal-insulation material to be tested (see figure). The electrical insulation material on the wires should be one for which the charring temperature is about the same as (or perhaps slightly less than) that of the thermal- insulation material to be tested. In the original rocket-motor application, the wires have a diameter of 0.003 in. (.0.08 mm), are made of manganin, and are coated with polyimide for electrical insulation. Outside the thermal insulation on the cold side, the wire leads are connected to a Wheatstone bridge circuit for measurement of electrical resistance change
Less iatrogenic soft-tissue damage utilizing robotic-assisted total knee arthroplasty when compared with a manual approach: A blinded assessment
Objectives: The use of the haptically bounded saw blades in robotic-assisted total knee arthroplasty (RTKA) can potentially help to limit surrounding soft-tissue injuries. However, there are limited data characterizing these injuries for cruciate-retaining (CR) TKA with the use of this technique. The objective of this cadaver study was to compare the extent of soft-tissue damage sustained through a robotic-assisted, haptically guided TKA (RATKA) versus a manual TKA (MTKA) approach.
Methods: A total of 12 fresh-frozen pelvis-to-toe cadaver specimens were included. Four surgeons each prepared three RATKA and three MTKA specimens for cruciate-retaining TKAs. A RATKA was performed on one knee and a MTKA on the other. Postoperatively, two additional surgeons assessed and graded damage to 14 key anatomical structures in a blinded manner. Kruskal-Wallis hypothesis tests were performed to assess statistical differences in soft-tissue damage between RATKA and MTKA cases.
Results: Significantly less damage occurred to the PCLs in the RATKA versus the MTKA specimens (p \u3c 0.001). RATKA specimens had non-significantly less damage to the deep medial collateral ligaments (p = 0.149), iliotibial bands (p = 0.580), poplitei (p = 0.248), and patellar ligaments (p = 0.317). The remaining anatomical structures had minimal soft-tissue damage in all MTKA and RATKA specimens.
Conclusion: The results of this study indicate that less soft-tissue damage may occur when utilizing RATKA compared with MTKA. These findings are likely due to the enhanced preoperative planning with the robotic software, the real-time intraoperative feedback, and the haptically bounded saw blade, all of which may help protect the surrounding soft tissues and ligaments
Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias
In order to determine the site of origin (SOO) in outflow tract ventricular arrhythmias (OTVAs) before an ablation procedure, several algorithms based on manual identification of electrocardiogram (ECG) features, have been developed. However, the reported accuracy decreases when tested with different datasets. Machine learning algorithms can automatize the process and improve generalization, but their performance is hampered by the lack of large enough OTVA databases. We propose the use of detailed electrophysiological simulations of OTVAs to train a machine learning classification model to predict the ventricular origin of the SOO of ectopic beats. We generated a synthetic database of 12-lead ECGs (2,496 signals) by running multiple simulations from the most typical OTVA SOO in 16 patient-specific geometries. Two types of input data were considered in the classification, raw and feature ECG signals. From the simulated raw 12-lead ECG, we analyzed the contribution of each lead in the predictions, keeping the best ones for the training process. For feature-based analysis, we used entropy-based methods to rank the obtained features. A cross-validation process was included to evaluate the machine learning model. Following, two clinical OTVA databases from different hospitals, including ECGs from 365 patients, were used as test-sets to assess the generalization of the proposed approach. The results show that V2 was the best lead for classification. Prediction of the SOO in OTVA, using both raw signals or features for classification, presented high accuracy values (>0.96). Generalization of the network trained on simulated data was good for both patient datasets (accuracy of 0.86 and 0.84, respectively) and presented better values than using exclusively real ECGs for classification (accuracy of 0.84 and 0.76 for each dataset). The use of simulated ECG data for training machine learning-based classification algorithms is critical to obtain good SOO predictions in OTVA compared to real data alone. The fast implementation and generalization of the proposed methodology may contribute towards its application to a clinical routine.Copyright © 2022 Doste, Lozano, Jimenez-Perez, Mont, Berruezo, Penela, Camara and Sebastian
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