Computing in cardiology最新文献_第8页

Patient-Specific Time-Varying Association between Spatial and Temporal Variability in Repolarization and High Sensitivity Troponin I. 复极化与高敏感性肌钙蛋白I的时空变异之间的患者特异性时变关联。

Computing in cardiology Pub Date : 2016-09-01 Epub Date: 2017-03-02

Larisa G Tereshchenko, Albert Feeny

{"title":"Patient-Specific Time-Varying Association between Spatial and Temporal Variability in Repolarization and High Sensitivity Troponin I.","authors":"Larisa G Tereshchenko, Albert Feeny","doi":"","DOIUrl":"","url":null,"abstract":"We hypothesized that the patient-specific time-varying changes in the spatial and temporal variability in cardiac repolarization (quantified by spatial TT' angle), and in myocardial injury (measured by high sensitivity troponin I, hsTnI), are independently associated with each other. Spatial TT' angle on resting 12-lead ECG (transformed to vectorcardiogram) and hsTnI were measured simultaneously every 3 hours during a 12-hour observation period in a prospective cohort of emergency department patients (n=379; age 57.8±13.2y; 54% female, 64% black), diagnosed with acute coronary syndrome (ACS; n=28), acute decompensated heart failure (ADHF; n=35), or an acute non-cardiac condition (n=316). High (above median) HsTnI in ACS was characterized by significantly larger TT' angle (12±8 vs 5±2 degrees; P=0.01) 12 hours after admission, but not earlier. In adjusted multinomial logit model, spatial TT' angle was associated with ADHF (Relative Risk Ratio 6.24 (95%CI 1.32-29.57; P=0.021), but not ACS. After full adjustment for confounders in random-effect linear regression, a 10-fold increase in hsTnI in a specific study participant was associated with 1.05 (95%CI 0.19 - 1.92) degrees increase in spatial TT' angle. Longitudinal association of hsTnI and TT' angle was especially prominent in patients with acute non-cardiac conditions, but not in ACS or ADHF.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":" ","pages":"333-336"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604480/pdf/nihms849300.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35535139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generation of Combined-Modality Tetrahedral Meshes. 组合模态四面体网格的生成。

Computing in cardiology Pub Date : 2015-09-01 DOI: 10.1109/CIC.2015.7411070

Karli Gillette, Jess Tate, Brianna Kindall, Peter Van Dam, Edward Kholmovski, Robert MacLeod

引用次数: 1

The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU. 2015年物理网络/计算心脏病学挑战赛:减少重症监护室心律失常的假警报。

Computing in cardiology Pub Date : 2015-09-01 DOI: 10.1109/CIC.2015.7408639

Gari D Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G Mark

{"title":"The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU.","authors":"Gari D Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G Mark","doi":"10.1109/CIC.2015.7408639","DOIUrl":"https://doi.org/10.1109/CIC.2015.7408639","url":null,"abstract":"High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 Physio-Net/Computing in Cardiology Challenge provides a set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to address the issue of false alarm suppression using all available signals. Each data segment was 5 minutes long (for real time analysis), ending at the time of the alarm. For retrospective analysis, we provided a further 30 seconds of data after the alarm was triggered. A collection of 750 data segments was made available for training and a set of 500 was held back for testing. Each alarm was reviewed by expert annotators, at least two of whom agreed that the alarm was either true or false. Challenge participants were invited to submit a complete, working algorithm to distinguish true from false alarms, and received a score based on their program's performance on the hidden test set. This score was based on the percentage of alarms correct, but with a penalty that weights the suppression of true alarms five times more heavily than acceptance of false alarms. We provided three example entries based on well-known, open source signal processing algorithms, to serve as a basis for comparison and as a starting point for participants to develop their own code. A total of 38 teams submitted a total of 215 entries in this year's Challenge.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"2015 ","pages":"273-276"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CIC.2015.7408639","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34502592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 124

Controlled Activation for Interrogation of the Electrophysiological Substrate. 电生理底物的受控活化研究。

Computing in cardiology Pub Date : 2014-09-09

Joshua Je Blauer, Fred Han, Ravi Ranjan, Nassir F Marrouche, Rob S MacLeod

引用次数: 0

A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar. 一种改进左心室疤痕定位与量化的实用算法。

Computing in cardiology Pub Date : 2014-09-07

Brian Zenger, Joshua Cates, Alan Morris, Eugene Kholmovski, Alexander Au, Ravi Ranjan, Nazem Akoum, Chris McGann, Brent Wilson, Nassir Marrouche, Frederick T Han, Rob S MacLeod

{"title":"A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar.","authors":"Brian Zenger, Joshua Cates, Alan Morris, Eugene Kholmovski, Alexander Au, Ravi Ranjan, Nazem Akoum, Chris McGann, Brent Wilson, Nassir Marrouche, Frederick T Han, Rob S MacLeod","doi":"","DOIUrl":"","url":null,"abstract":"Current approaches to classification of left ventricular scar rely on manual segmentation of myocardial borders and manual classification of scar tissue. In this paper, we propose an novel, semi-automatic approach to segment the left ventricular wall and classify scar tissue using a combination of modern image processing techniques. We obtained high-resolution magnetic resonance angiograms (MRA) and late-gadolinium enhanced magnetic resonance imaging (LGE-MRI) in 14 patients who had ventricular scar from a prior myocardial infarction. We applied (1) a level set-based segmentation approach using a combination of the MRA and LGE-MRI to segment the myocardium and then (2) an automated signal intensity algorithm (Otsu thresholding) to identify ventricular scar tissue. We compared results from both steps to those of expert observers. The LVgeometry using the semi-automated segmentation method had a mean overlap of 94% with the manual segmentations. The scar volumes obtained with the Otsu method correlated with the expert observer scar volumes (Dice comparison coefficient of 0.85± 0.11). This proof of concept segmentation pipeline provides a more objective method for identifying scar in the left ventricle than manual approaches.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"2014 ","pages":"105-108"},"PeriodicalIF":0.0,"publicationDate":"2014-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593325/pdf/nihms687031.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34073195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Verification of a Defibrillation Simulation Using Internal Electric Fields in a Human Shaped Phantom. 在人形幻影中使用内部电场的除颤仿真验证。

Computing in cardiology Pub Date : 2014-09-07

Jess Tate, Thomas Pilcher, Kedar Aras, Brett Burton, Rob MacLeod

引用次数: 0

Development of Analytical Approach for an Automated Analysis of Continuous Long-Term Single Lead ECG for Diagnosis of Paroxysmal Atrioventricular Block. 用于诊断阵发性房室传导阻滞的连续长期单导联心电图自动分析方法的发展。

Computing in cardiology Pub Date : 2014-09-07

Muammar M Kabir, Larisa G Tereshchenko

引用次数: 0

Repolarization Lability Measured by Spatial TT' Angle. 空间TT角测量复极化不稳定性。

Computing in cardiology Pub Date : 2014-09-07

Larisa G Tereshchenko

{"title":"Repolarization Lability Measured by Spatial TT' Angle.","authors":"Larisa G Tereshchenko","doi":"","DOIUrl":"","url":null,"abstract":"Aims: Increased T peaks cloud volume is associated with increased risk of ventricular arrhythmias (VA) in cardiomyopathy (CM) patients. T peaks cloud volume is formed, as a result, of (1) the angle between consecutive T-vectors and (2) temporal variability in T-vector amplitude. This study compares association of these two factors with VA.Methods: Baseline orthogonal ECGs were recorded during 5 min at rest in 414 patients with structural heart disease [mean age 59.4±12.0; 68% whites; 73% men; 45% non-ischemic CM] before implantation of implantable cardioverter-defibrillator (ICD) for primary prevention of sudden cardiac death. The spatial TT' angle between consecutive spatial T vectors was calculated using the definition of the inner product.Results: During a median 14 months of follow-up, 61 patients experienced sustained VA with appropriate ICD therapies. In a multivariable Cox regression model after adjustment for age, sex, race, spatial TT' angle was associated with VA (HR 1.03; 95%CI 1.0-1.05; P=0.034). Interaction with CM type was found: TT' angle was strongly associated with polymorphic VT/VF in non-ischemic CM (HR 1.04; 95%CI 1.0-1.05; P=0.033).Conclusion: Increased spatial TT' angle is associated with increased risk of VA.","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"41 ","pages":"181-184"},"PeriodicalIF":0.0,"publicationDate":"2014-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275103/pdf/nihms645028.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32938631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three Independent Forms of Cardio-Respiratory Coupling: Transitions across Sleep Stages. 三种独立形式的心肺耦合:跨睡眠阶段的转换。

Computing in cardiology Pub Date : 2014-09-01

Ronny P Bartsch, Kang Kl Liu, Qianli Dy Ma, Plamen Ch Ivanov

引用次数: 0

Automatic Parameterization Strategy for Cardiac Electrophysiology Simulations. 心脏电生理模拟的自动参数化策略。

Computing in cardiology Pub Date : 2013-10-01

Caroline Mendonca Costa, Elena Hoetzl, Bernardo Martins Rocha, Anton J Prassl, Gernot Plank

引用次数: 0