2018 Computing in Cardiology Conference (CinC)最新文献_第3页

Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection 基于个性化心率的癫痫发作检测的监督迁移学习

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.108

Thomas De Cooman, C. Varon, W. Paesschen, S. Huffel

引用次数: 1

Role of Cardiac Microstructure Variability on Ventricular Arrhythmogenesis 心脏微结构变异在室性心律失常发生中的作用

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.131

Dominic G. Whittaker, A. Benson, I. Teh, J. Schneider, M. Colman

{"title":"Role of Cardiac Microstructure Variability on Ventricular Arrhythmogenesis","authors":"Dominic G. Whittaker, A. Benson, I. Teh, J. Schneider, M. Colman","doi":"10.22489/CinC.2018.131","DOIUrl":"https://doi.org/10.22489/CinC.2018.131","url":null,"abstract":"The propagation of cardiac electrical excitation is influenced by tissue microstructure. Reaction-diffusion computational models of cardiac electrophysiology incorporating both dynamic action potential (AP) behaviour and image-based myocardial architecture provide an approach to study the complex organisation of excitation waves within variable myocardial structures. The role of tissue microstructure (cardiomyocyte and sheetlet orientations) on organ-scale arrhythmic excitations was investigated. Five healthy rat ventricle datasets were obtained using diffusion tensor MRI (DTI). The Fenton-Karma minimal AP model was modified to reproduce the rat AP duration and restitution. Re-entrant scroll waves were initiated in the five anatomical models at ten locations for three microstructure scenarios: (i) isotropic; (ii) anisotropic; and (iii) orthotropic. Variability in anatomy and microstructure caused simulated scroll waves to self-terminate, remain tachycardia-like, or degenerate into fibrillatory activity. Whilst inclusion of DTI-based microstructure increased total scroll wave filament length to differing extents between the five hearts, overall mean filament dynamics were quantitatively similar under anisotropic and orthotropic conditions. This study highlights the important role of inter-subject structural variability.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"24 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":"114677233","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

A Method to Suppress Chest Compression Artifact Enhancing Capnography-Based Ventilation Guidance During Cardiopulmonary Resuscitation 一种抑制胸压伪影的方法，增强心肺复苏时基于心电图的通气指导

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.107

Mikel Leturiondo, J. Gutiérrez, S. R. D. Gauna, J. Ruiz, L. Leturiondo, J. Russell, M. Daya

{"title":"A Method to Suppress Chest Compression Artifact Enhancing Capnography-Based Ventilation Guidance During Cardiopulmonary Resuscitation","authors":"Mikel Leturiondo, J. Gutiérrez, S. R. D. Gauna, J. Ruiz, L. Leturiondo, J. Russell, M. Daya","doi":"10.22489/CinC.2018.107","DOIUrl":"https://doi.org/10.22489/CinC.2018.107","url":null,"abstract":"Capnography-based ventilation rate guidance is valuable and widely used by advanced life support during cardiopulmonary resuscitation (CPR). However, there is a high incidence of induced chest compression (CC) oscillations that decreases the reliability of automated ventilation detection. We used 30 out-of-hospital cardiac arrest episodes containing the capnogram and transthoracic impedance signals. The algorithm detects the presence of distorted ventilations in the capnogram. It calculates the artifact envelope during the alveolar plateau and removes the artifact during capnogram baseline, thus obtaining a non-distorted waveform. The goodness of the method was assessed by comparing the performance of a ventilation detection algorithm before and after artifact suppression. From a total of 6387 annotated ventilations, 34% of them were classified as distorted. Global sensitivity and positive predictive value (Se/PPV, %) improved from 77.9/74.0 to 97.0/95.8. Median value of the unsigned error (%) of the estimated ventilation rate decreased from 19.6 to 4.5 and the accuracy for detection of over-ventilation increased with cleaned capnograms. Capnogram-based ventilation guidance during CPR was enhanced after CC artifact suppression. Our method preserved the tracing of CO2 concentration caused by ventilations, allowing other clinical uses of the capnography during resuscitation.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"36 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":"114958424","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

Development of New Left Atrial Anatomical Models For the Study of the Left Atrial Appendage Implications in Atrial Fibrillation 建立新的左心房解剖模型，研究左心房附件与房颤的关系

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.258

A. Masci, Lorenzo Barone, F. Mazzotti, C. Tomasi, C. Corsi

引用次数: 0

An Algorithm to Sample an Anatomy With Uncertainty 一种不确定解剖结构采样算法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.078

C. Corrado, Steven Williams, I. Sim, S. Coveney, M. O'Neill, Richard D. Wilkinson, J. Oakley, R. Clayton, S. Niederer

引用次数: 1

Force-Interval Relationships of the Heart Measured With Photoplethysmography During Atrial Fibrillation 心房颤动期间光容积描记术测量心脏的力-间期关系

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.111

Linda M. Eerikäinen, A. Bonomi, L. Dekker, Fons Schipper, R. Vullings, Ronald M. Aarts

{"title":"Force-Interval Relationships of the Heart Measured With Photoplethysmography During Atrial Fibrillation","authors":"Linda M. Eerikäinen, A. Bonomi, L. Dekker, Fons Schipper, R. Vullings, Ronald M. Aarts","doi":"10.22489/CinC.2018.111","DOIUrl":"https://doi.org/10.22489/CinC.2018.111","url":null,"abstract":"Force-interval relationships (FIRs) of the heart represent the relationships between inter-beat intervals (IBIs) and strength of the ventricular contractions. These relationships are typically measured invasively and are altered from normal in heart failure (HF). An unobtrusive and continuous measurement of FIRs could be beneficial when HF and atrial fibrillation (AF) coexist in order to understand if AF causes progression of HF. We hypothesize that FIRs could be assessed during AF with IBIs and hemodynamic changes captured unobtrusively by photo-plethysmography (PPG) at the wrist. FIRs were assessed by using Spearman's rank correlation between the pulse onset change in the PPG waveform and either the preceding or pre-preceding IBIs $(r_{pre} and r_{pre-pre})$ in 5-minute segments. 32 patients (14 continuous AF, 18 no AF) were measured during the night with PPG and electrocardiography as a reference. The mean and standard deviation of $r_{pre}$ were $-0.25pm 0.08$ and $0.05pm 0.12(p < 0.0001)$, and of $r_{pre-pre} 0.60pm 0.09$ and $0.16pm 0.14 (p < 0.0001)$, during AF and sinus rhythm, respectively. Areas under the Receiver Operating Characteristics curve were 0.987 and 0.998, respectively. Thus, during AF the IBIs correlate with the beat-to-beat changes of blood volume measured with PPG, likely to indicate that FIRs can be measured unobtrusively with the PPG signal.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"25 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":"128543632","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

Robust Assessment of Photoplethysmogram Signal Quality in the Presence of Atrial Fibrillation 房颤存在时光电容积图信号质量的可靠评估

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.254

T. Pereira, Kais Gadhoumi, Mitchell Ma, Rene Colorado, Kevin J. Keenan, K. Meisel, Xiao Hu

{"title":"Robust Assessment of Photoplethysmogram Signal Quality in the Presence of Atrial Fibrillation","authors":"T. Pereira, Kais Gadhoumi, Mitchell Ma, Rene Colorado, Kevin J. Keenan, K. Meisel, Xiao Hu","doi":"10.22489/CinC.2018.254","DOIUrl":"https://doi.org/10.22489/CinC.2018.254","url":null,"abstract":"A great deal of algorithms currently available to assess the quality of photoplethysmogram (PPG) signals is based on the similarity between pulses to derive signal quality indices. This approach has limitations when pulse morphology become variable due to the presence of some arrhythmia as in the case of atrial fibrillation (AFib). AFib is a heart arrhythmia characterized in the electrocardiogram mainly by an irregular irregularity. This arrhythmicity is reflected on PPG pulses by the presence of non-uniform pulses and poses challenges in the evaluation of the signal quality. In this work, we first test the performance of few algorithms from the body of methods reported in literature using a dataset of PPG records with AFib, and demonstrate their limitation. Second, we present a novel SVM-based classifier for PPG quality assessment in 30s-long segments of PPG records extracted from pulse oximetry data of 13 stroke patients admitted to the UCSF medical center neuro ICU. 40 time-domain, frequency domain and non-linear features were extracted from all segments. Using an independent test set, the classifier reached a 0.94 accuracy, 0.95 sensitivity and 0.91 specificity. These results demonstrate the robustness of the proposed method in properly evaluating PPG signal quality in the presence of atrial fibrillation.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"230 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":"122357186","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

Using Observed Contrast Motion During Cardiac Catheterization to Tune Patient Specific Coronary Blood Flow Simulations 在心导管插入过程中使用观察到的造影剂运动来调整患者特定的冠状动脉血流模拟

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.235

Stephen Moore, Olivia Smith, Kerry J. Halupka, S. Zhuk

{"title":"Using Observed Contrast Motion During Cardiac Catheterization to Tune Patient Specific Coronary Blood Flow Simulations","authors":"Stephen Moore, Olivia Smith, Kerry J. Halupka, S. Zhuk","doi":"10.22489/CinC.2018.235","DOIUrl":"https://doi.org/10.22489/CinC.2018.235","url":null,"abstract":"In the assessment of coronary artery disease, virtual Fractional Flow Reserve is an emerging technology that uses patient specific of Computational Fluid Dynamics simulations to infer the pressure loss through a stenosis, replacing an effective, but expensive technique based on the use of a pressure wire. To date, most vFFR efforts make use of reduced order lumped parameter models for the inlet and outlet/s of the coronary arterial tree to approximate the patient specific boundary conditions, but suffer from the inability to specify the associated parameters in a patient specific manner. When applying vFFR in a catheter laboratory setting using X-Ray angiograms as the basis for creating the geometrical model, there is some indirect functional information available through observing the motion of the radio-opaque contrast agent. In this work, we present a novel method for tuning the arterial resistances, based on simulating the contrast release and minimising a misfit defined in terms of simulated and observed arrival times of the contrast at multiple points within a coronary tree.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"11 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":"130647730","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

Automated Recognition of Sleep Arousal Using Multimodal and Personalized Deep Ensembles of Neural Networks 使用多模态和个性化神经网络深度集成的睡眠唤醒自动识别

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.332

A. Patané, S. Ghiasi, E. Scilingo, M. Kwiatkowska

{"title":"Automated Recognition of Sleep Arousal Using Multimodal and Personalized Deep Ensembles of Neural Networks","authors":"A. Patané, S. Ghiasi, E. Scilingo, M. Kwiatkowska","doi":"10.22489/CinC.2018.332","DOIUrl":"https://doi.org/10.22489/CinC.2018.332","url":null,"abstract":"Background and Aim: Monitoring physiological signals during sleep can have substantial impact on detecting temporary intrusion of wakefulness, referred to as sleep arousals. To overcome the problems associated with the cubersome visual inspection of these events by experts, sleep arousal recognition algorithms have been proposed. Method: As part of the Physionet/Computing in Cardiology Challenge 2018, this study proposes a deep ensemble neural network architecture for automatic arousal recognition from multi-modal sensor signals. Separate branches of the neural network extract features from electro-encephalography, electrooculography, electromyogram, breathing patterns and oxygen saturation level; and a final fully-connected neural network combines features computed from the signal sources to estimate the probability of arousal in each region of interest. We investigate the use of shared-parameter Siamese architectures for effective feature calibration. Namely, at each forward and backward pass through the network we concatenate to the input a user-specific template signal that is processed by an identical copy of the network. Result: The proposed architecture obtains an AUPR score of 0.40 on the test set of the official phase of Physionet/CbiC Challenge 2018. A score of 0.45 is obtained by means of 10 -fold cross-validation on the training set.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"111 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":"130738600","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: 12

Geometric Wavelength for Monitoring Dynamic Changes in Repolarization Caused by Time-Varying Parameters 用于监测时变参数引起的复极化动态变化的几何波长

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.139

Ariane Saliani, N. Shivaraman, V. Jacquemet

引用次数: 0