2018 Computing in Cardiology Conference (CinC)最新文献_第8页

In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach 计算机安全药理学的学科间变异模型群体:回归模型方法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.094

A. S. D. L. Nava, A. Liberos, I. Hernández-Romero, María de la Salud Guillem Sánchez, F. Atienza, F. Fernández‐Avilés, A. Climent

{"title":"In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach","authors":"A. S. D. L. Nava, A. Liberos, I. Hernández-Romero, María de la Salud Guillem Sánchez, F. Atienza, F. Fernández‐Avilés, A. Climent","doi":"10.22489/CinC.2018.094","DOIUrl":"https://doi.org/10.22489/CinC.2018.094","url":null,"abstract":"Safety pharmacology aims at detecting undesirable effect of drugs during its development. However, limitations are present at both in-vitro and in-silico level because of its low detection efficacy during this process. In this work, the effect of drugs at tissue level was studied and inducibility in a multivariable scenario including 127 models tested for two different tissue sizes (basal and dilated) and two conditions (no drug and isoproterenol) was obtained. From these models, maintenance duration (MD) of the reentry was calculated and a regression model based on Canonical Correlation Analysis (CCA) was implemented to evaluate the proarrhythmic effect of isoproterenol depending on model size. The number of models with AF maintenance was larger for dilated atria and isoproterenol. CCA analysis obtained 96% accuracy on an arrhythmogenicity test set for basal size and 100% on the dilated one. A new promising methodology was proposed for safety pharmacology including variability between patients, setting the base for personalized medicine.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008520","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

Universal Ventricular Coordinates: a New Way to Transfer Purkinje Networks Between Meshes 通用心室坐标:一种在网格间传递浦肯野网络的新方法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.114

Julien Bouyssier, J. Bayer, E. Vigmond

引用次数: 0

Robust Estimation of the Scaling Exponent in Detrended Fluctuation Analysis of Beat Rate Variability 拍率变异性去趋势波动分析中尺度指数的鲁棒估计

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.219

Matti Molkkari, Esa Räsänen

{"title":"Robust Estimation of the Scaling Exponent in Detrended Fluctuation Analysis of Beat Rate Variability","authors":"Matti Molkkari, Esa Räsänen","doi":"10.22489/CinC.2018.219","DOIUrl":"https://doi.org/10.22489/CinC.2018.219","url":null,"abstract":"Detrended fluctuation analysis is a popular method for studying fractal scaling properties in time series. The method has been successfully employed in studying heart rate variability and discovering distinct scaling properties in different pathological conditions. Traditionally the analysis has been performed by extracting two scaling exponents from linear fits, for short- and long-range correlations respectively. The extent of these ranges is subjective and the linear two-range model potentially disregards additional information present in the data. Here we present a method based on the Kalman smoother for obtaining a whole spectrum of scaling exponents as a function of the scale. Additionally, we present an optimization scheme to obtain data-adaptive segmentation of the fluctuation function into approximately linear regimes. The methods are parameter-free and resistant to statistical noise in the fluctutation function. We employ the methods in the analysis of the heart rate variability of patients with different heart conditions. The methods enhance the classification of these conditions, revealing more complex structure in the scaling exponents beyond the two-range model.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116499095","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: 6

Electro-Mechanical Delay in the Human Heart: A Study on a Simple Geometry 人体心脏的机电延迟:一个简单几何的研究

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.199

E. Kovacheva, Lukas Baron, O. Dössel, A. Loewe

{"title":"Electro-Mechanical Delay in the Human Heart: A Study on a Simple Geometry","authors":"E. Kovacheva, Lukas Baron, O. Dössel, A. Loewe","doi":"10.22489/CinC.2018.199","DOIUrl":"https://doi.org/10.22489/CinC.2018.199","url":null,"abstract":"The contraction of the heart is a complex process involving the interaction of the passive properties of the tissue and the active tension development, which is elicited by the electrical activation of the cells. In this study, the electro-mechanical delay (EMD) was investigated as well as its dependence on the length of the sarcomeres, which are the contractile units within the cell. EMD was defined as the time offset between the electrical activation of the cell and the time of maximal tension. On a simple bar geometry with unidirectional fibre orientation and a linear local activation time distribution, the EMD proved to be inhomogeneous. The contraction of the early activated regions caused an elongation of the sarcomere (stretch) in the neighbouring regions, which ware electrically activated at a later time. The tension in the stretched region reached twice the value of the cells in the not-stretched, early activated region. Furthermore, the EMD in the early electrically activated region was more than 0.2 s, which was about twice the EMD of the stretched regions. In conclusion, the stretched region developed higher tension within a shorter time interval compared to the early activated region. Future studies will investigate how the inhomogeneous EMD affects cardiac output.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129775363","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

Deep Generative Model and Analysis of Cardiac Transmembrane Potential 心脏跨膜电位深度生成模型及分析

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.075

S. Ghimire, Linwei Wang

引用次数: 1

SleepTight: Identifying Sleep Arousals Using Inter and Intra-Relation of Multimodal Signals 睡眠不足:利用多模态信号的内部和内部关系来识别睡眠唤醒

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.245

Tanuka Bhattacharjee, Deepan Das, S. Alam, A. M V, Prasanta Kumar Ghosh, Ayush Ranjan Lohani, Rohan Banerjee, A. Choudhury, A. Pal

{"title":"SleepTight: Identifying Sleep Arousals Using Inter and Intra-Relation of Multimodal Signals","authors":"Tanuka Bhattacharjee, Deepan Das, S. Alam, A. M V, Prasanta Kumar Ghosh, Ayush Ranjan Lohani, Rohan Banerjee, A. Choudhury, A. Pal","doi":"10.22489/CinC.2018.245","DOIUrl":"https://doi.org/10.22489/CinC.2018.245","url":null,"abstract":"Sleep arousal directly affects the quality of sleep. PhysioNet Challenge 2018 aims to correctly identify designated target arousal (non-apnea arousal) and non-arousal regions from simultaneously recorded multiple biomedical signals. Our contribution lies in a feature extraction algorithm that extracts generic and domain-specific features from different biomedical signals available in the challenge provided dataset to form a composite feature vector. 50 most significant features are selected based on Minimum Redundancy Maximum Relevance scores for final classification using multiple unbiased Random Forests. The approach is designed to produce a single label for a 20-second segment containing all channels, followed by smoothing the label time-series per subject. Our algorithm yields the median Area Under Precision-Recall Curve (AUPRC) as 0.29 on 5-fold cross-validation on the training dataset. The same value of AUPRC is maintained for the test dataset as well, thereby emphasizing the stability of the proposed algorithm. This method secured the global rank of 8 during the official phase of the challenge.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131057699","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: 7

Role of If (Funny Current) on Biological Pacemaker - Insight From A Ventricular Model If(搞笑电流)在生物起搏器中的作用——来自心室模型的洞察

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.193

Yacong Li, Kuanquan Wang, Qince Li, Xiangyun Bai, Henggui Zhang

{"title":"Role of If (Funny Current) on Biological Pacemaker - Insight From A Ventricular Model","authors":"Yacong Li, Kuanquan Wang, Qince Li, Xiangyun Bai, Henggui Zhang","doi":"10.22489/CinC.2018.193","DOIUrl":"https://doi.org/10.22489/CinC.2018.193","url":null,"abstract":"Biological pacemaker has been proposed as a promising alternative to electrical pacemaker for treating patients with impaired native cardiac pacemaker. It has been verified that overexpressing the hyperpolarization-activated funny channel current (funny current, $I_{f)}$ can induce automatic pacing activities in ventricular myocytes (VMs). In this study, possible roles of $I_{f}$ expression in generating automaticity in VMs are systematically investigated. We implemented a computational approach to study mechanism by which increase of $I_{f}$ induces automaticity in VMs. The TP06 model of the electrical action potential in the human VMs was modified by incorporating $I_{f}$ formulation. When the channel conductance of $I_{f}$ was greater than 0.09 nS/pF, the VMs showed spontaneous pacing activities. During the time course of spontaneous action potentials, incorporating $I_{f}$ induced changes in the intracellular ionic concentrations, leading to accumulation of intracellular calcium $([Ca^{2+}]_{i})$ as well as sodium concentration $([Na^{+}]_{i})$, but a decrease in the intracellular potassium concentration $([K^{+}]_{i})$. By clamping $[Na^{+}]_{i} and [K^{+}]_{i}$ to a constant level, a fast and stable spontaneous pacemaking activity was observed. This study helps to understand the mechanism of creating biological pacemakers using $I_{f}$ overexpression.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591880","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

Heart Rate Variability Analysis Guided by Respiration in Major Depressive Disorder 重性抑郁症呼吸引导下的心率变异性分析

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.319

S. Kontaxis, M. Orini, E. Gil, M. Miguel, M. L. Bernal, J. Aguiló, C. D. Cámara, P. Laguna, R. Bailón

{"title":"Heart Rate Variability Analysis Guided by Respiration in Major Depressive Disorder","authors":"S. Kontaxis, M. Orini, E. Gil, M. Miguel, M. L. Bernal, J. Aguiló, C. D. Cámara, P. Laguna, R. Bailón","doi":"10.22489/CinC.2018.319","DOIUrl":"https://doi.org/10.22489/CinC.2018.319","url":null,"abstract":"In this study a Heart Rate Variability (HRV) analysis guided by respiration to evaluate different patterns of Autonomic Nervous System (ANS) in response to a cognitive stressor between Major Depressive Disorder (MDD) and control (CT) subjects is presented. Cardiorespiratory Time Frequency Coherence (TFC) reveals the local coupling of HRV and respiration signal which is essential and usually not included in estimation of ANS measures derived by HRV. Parasympathetic activity of ANS is measured as the power at the frequencies where TFC between HRV and respiration is significant, whereas sympathetic dominance is measured as the normalized power in the low frequency band [0.04,0.15] Hz of HRV excluding the power of those frequencies related to respiration. Results showed significantly lower (p < 0.05) sympathetic dominance in MDD with respect to CT subjects during stress, suggesting that ANS reactivity as response to stress stimuli is lower in MDD patients. The study of ANS reactivity to a stressor may serve as a biomarker useful for the early diagnosis and monitoring of MDD patients.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133609763","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: 6

Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium 患者定制的左心房电解剖图的硅三维模拟和模型

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.183

G. Ríos-Muñoz, Sara Rocher, Antonio Artés-Rodríguez, Á. Arenal, J. Saiz, C. Sánchez

{"title":"Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium","authors":"G. Ríos-Muñoz, Sara Rocher, Antonio Artés-Rodríguez, Á. Arenal, J. Saiz, C. Sánchez","doi":"10.22489/CinC.2018.183","DOIUrl":"https://doi.org/10.22489/CinC.2018.183","url":null,"abstract":"The mechanisms underlying atrial fibrillation (AF) are still under debate, making treatments for this arrhythmia remain suboptimal, with most treatments applied in a standard fashion with no patient personalization. Recent technological advances in electroanatomical mapping (EAM) using multi-electrode catheter allow the physicians to better characterize the substrate, thanks to a better spatial resolution and higher density of acquisition points. Taking advantage of this technology, we describe a workflow to build personalized electrophysiological atrial models for AF patients. We seek to better predict the outcome of a treatment and study the AF problem in a more specific scenario. We generated physiological 3D models from the EAM data using hexahedral meshing of element size 300μm, and added fiber orientation based on a generic model. We used the local activation time (LAT) maps performed in sinus rhythm (SR) to estimate the conduction velocity (CV) of the regions in the atrium with a new method that combines the LATs of neighboring tissue as the average CV of triplets of points. We also characterized the cellular model by Maleckar et al. in terms of longitudinal conductivity and CV to personalize the atrial models. We were able to simulate SR and AF scenarios on the personalized models, and we generated a database of atrial models for future analysis.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133655376","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

Age and Changes in Extracted Features of Lagged Poincare Plot 滞后庞加莱图提取特征的年龄和变化

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.330

Shahab Rezaei, S. Moharreri, N. J. Dabanloo, S. Parvaneh

引用次数: 0