2019 Computing in Cardiology Conference (CinC)最新文献

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High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation 基于图像配准的心脏纤颤患者高强度聚焦超声治疗引导系统
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.315
Batoul Dahman, J. Dillenseger
{"title":"High Intensity Focused Ultrasound Therapy Guidance System by Image-based Registration for Patients with Cardiac Fibrillation","authors":"Batoul Dahman, J. Dillenseger","doi":"10.22489/cinc.2019.315","DOIUrl":"https://doi.org/10.22489/cinc.2019.315","url":null,"abstract":"Transesophageal high-intensity focused ultrasound (HIFU) energy can be used to treat cardiac arrhythmia efficiently non-invasively. Since the esophagus is located just behind the heart, it offers a perfect acoustic window. Hence, HIFU can be directed toward the heart to perform ablation. In a previous study a HIFU probe with one 2D US image perpendicular to the esophagus axis for guidance purpose has been proposed [1]. A new dualmode HIFU probe with two perpendicular 2D US imagining plane is now under development. In this paper we propose a therapy guidance system, based on an intensity-based registration of the two perpendicular 2D US to preoperative 3D CT. As a proof of concept we developed the following evaluation framework on a numerical phantom: 1) because the probe is under development we define a ground truth (GT) initial pose inside a CT volume and simulated two perpendicular US images from the CT data; 2) we run the registration framework from 55 randomly defined pose initialization around the initial GT pose; and 3) we estimated the accuracy of the registration by (a) the transformation parameter estimation errors (translation error and quaternion distance for rotation) and (b) Target Registration Error (TRE) on 8 features. The accuracy of the registration using two 2D US plane has been compared to previous work with only one US plane. An improvement was observed when using two 2D US planes with regards to the previous one US plane.","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":"80159755","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
A Low Dimensional Algorithm for Detection of Sepsis from Electronic Medical Record Data 从电子病历数据中检测败血症的低维算法
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.037
Deogire Aruna
{"title":"A Low Dimensional Algorithm for Detection of Sepsis from Electronic Medical Record Data","authors":"Deogire Aruna","doi":"10.22489/cinc.2019.037","DOIUrl":"https://doi.org/10.22489/cinc.2019.037","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":"77127594","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
Autonomic Nervous System Response to Heat Stress Exposure by Means of Heart Rate Variability 自主神经系统通过心率变异性对热应激暴露的反应
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.197
Kontaxis Spyridon, Bailon Raquel, Rapalis Andrius, Brazaitis Marius, Cernych Margarita, Lázaro Plaza Jesús, Laguna Pablo, Gil Eduardo, Marozas Vaidotas
{"title":"Autonomic Nervous System Response to Heat Stress Exposure by Means of Heart Rate Variability","authors":"Kontaxis Spyridon, Bailon Raquel, Rapalis Andrius, Brazaitis Marius, Cernych Margarita, Lázaro Plaza Jesús, Laguna Pablo, Gil Eduardo, Marozas Vaidotas","doi":"10.22489/cinc.2019.197","DOIUrl":"https://doi.org/10.22489/cinc.2019.197","url":null,"abstract":"In this study, a heart rate variability (HRV) analysis guided by respiration is conducted to assess changes in autonomic nervous system (ANS) regulation during pronounced heat stress induced by repetitive exposures to dry sauna in 13 young healthy subjects. The spectral power at the low frequency (LF) band [0 . 04 , 0 . 15] Hz and at the high frequency band centered around the mean respiratory rate, estimated from ECG-derived respiration signals, are studied. The mean heart rate (HR), the total power of HRV, and the normalized LF power are also analyzed. Results show that mean HR and normalized LF power increase significantly after basal stage, not only during the sauna sessions, but also at the intermediate short rest stages and recovery phase after 30 min. A significant reduction in the total power of HRV during all sauna sessions is observed, while an increased power in LF band is shown only during recovery which might be related to improved cardiac function (increased cardiac output and reduced peripheral vascular resistance) after heat exposure. Respiratory rate does not change significantly during the protocol but a negative trend at stress stages may indicate a reverse reaction against an over-activation of the sympathetic branch. In conclusion, exposure to heat stress shifts sympathovagal balance of ANS toward sympathetic dominance that increases HR and diminishes","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":"73601198","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
An In-Silico Study of the Effects of Conductance Variation on the Regionally Based Action Potential Morphology. 电导变化对区域动作电位形态影响的计算机研究。
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.314
J. Elliott, O. Dössel, A. Loewe, L. Mainardi, V. Corino, Jose F Rodriguez Matas"
{"title":"An In-Silico Study of the Effects of Conductance Variation on the Regionally Based Action Potential Morphology.","authors":"J. Elliott, O. Dössel, A. Loewe, L. Mainardi, V. Corino, Jose F Rodriguez Matas\"","doi":"10.22489/cinc.2019.314","DOIUrl":"https://doi.org/10.22489/cinc.2019.314","url":null,"abstract":"Improved understanding of the effects of variability in electrophysiological activity within the human heart is key to understanding and predicting cardiovascular response to disease and treatments. Previous studies have considered either regional variation in action potentials or inter-subject variability within a single region of the atria. In this study, we hypothesize that the regional differences in morphology derive not only from variation in dependence on individual conductances, but also from the relationship between multiple conductances. Using the Monte-Carlo Sampling Method and the Maleckar cellular model for electrophysiology, we created an in-silico population of models. Each conductance was varied +/100% from the standard model. The population was divided into regional groups based on biomarkers. Results showed regional variation in the dependence on relationships between conductances. In the right atrial appendage the value of gK1 was found to be only twice as influential as the relationship between gK1 and gKur on the APD90 biomarker. Other relationships that had a significant impact included gTo-gKur; gKr-gK1; gNaKgNaCa and gKur-gNaK for various regions. R values for first order linear regression models showed significant relationships were left out in the analysis. This was significantly improved in the second order R values.","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":"83319360","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
Predicting Plausible Human Purkinje Network Morphology from Simulations 从模拟中预测合理的人类浦肯野网络形态
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-12-30 DOI: 10.22489/cinc.2019.168
M. Lange, T. Lassila, Alejandro F Frangi
{"title":"Predicting Plausible Human Purkinje Network Morphology from Simulations","authors":"M. Lange, T. Lassila, Alejandro F Frangi","doi":"10.22489/cinc.2019.168","DOIUrl":"https://doi.org/10.22489/cinc.2019.168","url":null,"abstract":"The Purkinje network (PN) gains more clinically importance as it becomes target for pacing in rate control and defibrillation. However, our understanding of the PN morphology arises from animal experiments, which might not transfer to humans. Therefore, we propose an automated computer simulation predicting physiological PN morphologies depending on the heart shape. It starts by generating virtual heart shapes from a statistical shape atlas and generates virtual PNs on the endocardial surface. For the combined virtual models the eikonal equation is solved to estimate the local activation times throughout the myocardium, which then feed forward to an simulation of the 12-lead surface ECG. From the simulated ECG the QRS-complex is compared against a healthy standard QRS-complex ,which allows to estimate how physiological a PN morphology is. In our model, only bundle branch bifurcation points near the base or near the apex result in physiological QRS wave forms. For the right bundle, more physiological QRS waves can be obtained when the branching point is at the apex. Only a minor dependency of the ECG on the heart shape is found. However, a strong correlation between the bundle branch bifurcation points themselves is observed.","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":"81317853","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
Space Rescaling in the MFS Method Improves the ECGI Reconstruction MFS方法中的空间缩放改进了ECGI重构
2019 Computing in Cardiology Conference (CinC) Pub Date : 2019-09-08 DOI: 10.22489/cinc.2019.333
N. Zemzemi, Pauline Migerditichan, M. Potse
{"title":"Space Rescaling in the MFS Method Improves the ECGI Reconstruction","authors":"N. Zemzemi, Pauline Migerditichan, M. Potse","doi":"10.22489/cinc.2019.333","DOIUrl":"https://doi.org/10.22489/cinc.2019.333","url":null,"abstract":"The method of fundamental solutions (MFS) has been extensively used for the electrocardiographic imaging (ECGI) inverse problem. One of its advantages is that it is a meshless method. We remarked that the using cm instead of mm as a space unit has a high impact on the reconstructed inverse solution. Our purpose is to refine this observation, by introducing a rescaling coefficient in space and study its effect on the MFS inverse solution. Results are provided using simulated test data prepared using a reaction-diffusion model. We then computed the ECGI inverse solution for rescaling coefficient values varying from 1 to 100, and computed the relative error (RE) and correlation coefficient (CC). This approach improved the RE and CC by at least 10% but can go up to 40% independently of the pacing site. We concluded that the optimal coefficient depends on the heterogeneity and anisotropy of the torso and does not depend on the stimulation site. This suggests that it is related to an optimal equivalent conductivity estimation in the torso domain.","PeriodicalId":6716,"journal":{"name":"2019 Computing in Cardiology Conference (CinC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78239034","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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