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2019 Computing in Cardiology Conference (CinC)最新文献

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Calcium-Activated Potassium Channel Inhibition in Autonomically Stimulated Human Atrial Myocytes. 自主刺激心房肌细胞的钙活化钾通道抑制。
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.334
Chiara Celotto, C. Sánchez, P. Laguna, E. Pueyo
{"title":"Calcium-Activated Potassium Channel Inhibition in Autonomically Stimulated Human Atrial Myocytes.","authors":"Chiara Celotto, C. Sánchez, P. Laguna, E. Pueyo","doi":"10.22489/cinc.2019.334","DOIUrl":"https://doi.org/10.22489/cinc.2019.334","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77910986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Representation Learning for Early Sepsis Prediction 表征学习用于脓毒症早期预测
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.021
T. Luan, N. Manh, Shahabi Cyrus
{"title":"Representation Learning for Early Sepsis Prediction","authors":"T. Luan, N. Manh, Shahabi Cyrus","doi":"10.22489/cinc.2019.021","DOIUrl":"https://doi.org/10.22489/cinc.2019.021","url":null,"abstract":"As part of the PhysioNet/Computing in Cardiology Challenge 2019, we propose a neural network called AECNet to early detect sepsis based on physiological data. AEC-Net consists of two main components: 1) an Auto Encoder for dimension reduction and feature extraction, and 2) a Fully Connected Neural Network (FCNN) taking the extracted features by the Auto Encoder as the input and generating prediction of sepsis as output. The losses of both the Auto Encoder and FCNN are minimized concurrently. This concurrent optimization helps AEC-Net to have a better generalization and the extracted features by Auto Encoder to be more relevant to the classification problem. Finally, we propose an ensemble method of AECNet, Random Forest and Gradient Boosting Decision Trees to achieve a better prediction. We train our proposed models using data from 40336 patients with 40 physiological features ranging from 8 to 336 hours. Our team Infolab USC evaluated Ensemble with the hidden full test set of the Physionet Challenge 2019, and achieved a Utility score of 0.284 and 24 place in the challenge.","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85095606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging 利用四维血流磁共振成像研究主动脉扩张中压力和血流的相互作用
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.058
Bouaou Kevin, Bollache Emilie, L. Didier, Mousseaux Élie, Kachenoura Nadjia, D. Thomas, Soulat Gilles, Houriez-Gombaud-Saintonge Sophia, Bargiotas Ioannis, De Cesare Alain, G. Umit, Giron Alain, Redheuil Alban
{"title":"Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging","authors":"Bouaou Kevin, Bollache Emilie, L. Didier, Mousseaux Élie, Kachenoura Nadjia, D. Thomas, Soulat Gilles, Houriez-Gombaud-Saintonge Sophia, Bargiotas Ioannis, De Cesare Alain, G. Umit, Giron Alain, Redheuil Alban","doi":"10.22489/cinc.2019.058","DOIUrl":"https://doi.org/10.22489/cinc.2019.058","url":null,"abstract":"Ascending thoracic aortic aneurysms (ATAA) are defined by a silent dilation of the ascending aorta (AA). Although maximal aortic diameter is currently used for surgery planning, a high proportion of patients with low diameters ending up with aortic dissection. Our purpose was to propose a fine and comprehensive quantitative evaluation of pressure-flow-wall interplay from 4D flow MRI data in the setting of aortic dilation. We studied 12 patients with ATAA (67±14 years, 7 male) and 12 healthy subjects (63±12 years, 8 male) who underwent 4D flow MRI acquisition. The segmented velocity fields were used to estimate: 1) local AA pressure changes from Navier-Stokes-derived relative pressure maps (AADP), 2) AA wall shear stress (AAWSS) by estimating local velocity derivatives at the aortic borders, 3) aortic flow vorticity using the λ2 method (AAV). AADP was significantly and positively associated with both AAV (r=0.55, p=0.006) and AAWSS (r=0.69 p<0.001). Such associations remained significant after adjustment for maximal diameter, age and BSA. Local variations in pressures within the aorta, rendered possible while using 4D flow MRI, are associated with flow disorganization as quantified by vorticity and with the increase in the stress exerted on the aortic wall, as quantified by wall shear stress.","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90680657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
“Investigating the Optimal Recording Duration for Summarising Spatiotemporal Behaviours of Long Lifespan Rotors Using Phase Mapping of Non-Contact Electrograms During Persistent Atrial Fibrillation’’ “研究在持续性房颤期间使用非接触电图的相位映射来总结长寿命转子的时空行为的最佳记录时间”
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.149
Mahmoud Ehnesh, Xin Li, N. Dastagir, Saaima Ahmad, T. Biala, P. J. Stafford, G. André Ng, F. Schlindwein
{"title":"“Investigating the Optimal Recording Duration for Summarising Spatiotemporal Behaviours of Long Lifespan Rotors Using Phase Mapping of Non-Contact Electrograms During Persistent Atrial Fibrillation’’","authors":"Mahmoud Ehnesh, Xin Li, N. Dastagir, Saaima Ahmad, T. Biala, P. J. Stafford, G. André Ng, F. Schlindwein","doi":"10.22489/cinc.2019.149","DOIUrl":"https://doi.org/10.22489/cinc.2019.149","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82983538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks 利用神经网络识别冠状动脉内光学图像中的动脉粥样硬化斑块
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.387
Maysa M. G. Macedo, Dario AB Oliveira, Marco Antonio Gutierrez
{"title":"Atherosclerotic Plaques Recognition in Intracoronary Optical Images Using Neural Networks","authors":"Maysa M. G. Macedo, Dario AB Oliveira, Marco Antonio Gutierrez","doi":"10.22489/cinc.2019.387","DOIUrl":"https://doi.org/10.22489/cinc.2019.387","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78421602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-feature Probabilistic Detector Applied on Apnea/hypopnea Monitoring 多特征概率检测器在呼吸暂停/低呼吸监测中的应用
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.394
G. Di, Alfredo I. Hernández
{"title":"Multi-feature Probabilistic Detector Applied on Apnea/hypopnea Monitoring","authors":"G. Di, Alfredo I. Hernández","doi":"10.22489/cinc.2019.394","DOIUrl":"https://doi.org/10.22489/cinc.2019.394","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78462633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of Reducing the Number of Leads from Body Surface Potential Mapping in Computer Models of Atrial Arrhythmias 减少体表电位映射导联数对心房心律失常计算机模型的影响
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.099
V. Gonçalves Marques, M. Rodrigo, Maria de la Salud Guillem Sánchez", J. Salinet
{"title":"Effects of Reducing the Number of Leads from Body Surface Potential Mapping in Computer Models of Atrial Arrhythmias","authors":"V. Gonçalves Marques, M. Rodrigo, Maria de la Salud Guillem Sánchez\", J. Salinet","doi":"10.22489/cinc.2019.099","DOIUrl":"https://doi.org/10.22489/cinc.2019.099","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72895597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Source Separation of the Second Heart Sound Using Gaussian Mixture Models 利用高斯混合模型分离第二心音
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.236
Renna Francesco, Coimbra Miguel
{"title":"Source Separation of the Second Heart Sound Using Gaussian Mixture Models","authors":"Renna Francesco, Coimbra Miguel","doi":"10.22489/cinc.2019.236","DOIUrl":"https://doi.org/10.22489/cinc.2019.236","url":null,"abstract":"In this work, we present a method to separate aortic (A2) and pulmonary (P2) components from second heart sounds (S2). The proposed approach captures the different dynamical behavior of A2 and P2 components via a joint Gaussian mixture model, which is then used to perform separation via a closed-form conditional mean estimator. The proposed approach is tested over synthetic heart sounds and it is shown guarantee a reduction of approximately 25% of the normalized root mean-squared error incurred in signal separation, with respect to a previously presented approach in the literature.","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79633600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia 心律失常的详细实时模拟
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.301
Langguth Johannes, Arevalo Hermenegild, H. Gregorius, Cai Xing
{"title":"Towards Detailed Real-Time Simulations of Cardiac Arrhythmia","authors":"Langguth Johannes, Arevalo Hermenegild, H. Gregorius, Cai Xing","doi":"10.22489/cinc.2019.301","DOIUrl":"https://doi.org/10.22489/cinc.2019.301","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87988907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
In Silico Investigation of the CACNA1C N2091S Mutation in Timothy Syndrome 蒂莫西综合征CACNA1C N2091S突变的计算机研究
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.003
Bai Jieyun, Lu Yaosheng, S. Tao, Wang Kuanquan, Zhang Henggui
{"title":"In Silico Investigation of the CACNA1C N2091S Mutation in Timothy Syndrome","authors":"Bai Jieyun, Lu Yaosheng, S. Tao, Wang Kuanquan, Zhang Henggui","doi":"10.22489/cinc.2019.003","DOIUrl":"https://doi.org/10.22489/cinc.2019.003","url":null,"abstract":"","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79247497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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