2019 Computing in Cardiology (CinC)最新文献_第8页

Early Detection of Sepsis Using Ensemblers 使用合奏器早期检测败血症

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005878

Shailesh Nirgudkar, Tianyu Ding

引用次数: 0

Response of Ventricular Repolarization to Simulated Microgravity Measured by Periodic Repolarization Dynamics Using Phase-Rectified Signal Averaging 利用相位整流信号平均周期性复极化动力学测量心室复极化对模拟微重力的响应

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005875

S. Palacios, E. Caiani, E. Pueyo, J. P. Martínez

{"title":"Response of Ventricular Repolarization to Simulated Microgravity Measured by Periodic Repolarization Dynamics Using Phase-Rectified Signal Averaging","authors":"S. Palacios, E. Caiani, E. Pueyo, J. P. Martínez","doi":"10.23919/CinC49843.2019.9005875","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005875","url":null,"abstract":"Head-Down Bed Rest (HDBR) microgravity simulation induces cardiovascular deconditioning, including effects on ventricular repolarization. The index of Periodic Repolarization Dynamics (PRD) was developed to quantify low-frequency oscillations of cardiac repolarization. In this study, PRD was quantified by Phase Rectified Signal Averaging (PRDPRSA) and Continuous Wavelet Transform (PRDCWT) methods. PRD was analyzed in ECGs from 22 volunteers at rest and during orthostatic Tilt-Table Test (TTT) performed before and after -6° 60-days HDBR. Significant correlation was found between PRD measured by PRSA and CWT (Pearson’s ρ = 0.93, p < 10-54 and Kendall’s τ = 0.79 p < 10-38). A highly significant increase was found when PRDPRSA values were measured at POST-HDBR with respect to PRE-HDBR in the tilt phase: 1.40 [1.10] deg and 0.97 [0.90] deg (median [IQR]), p = 0.008, respectively. PRDPRSA also increased significantly in the tilt phase with respect to baseline, both at POST-HDBR (0.90 [0.57] deg, p = 0.003) and at PRE-HDBR (0.75 [0.45] deg, p = 0.011). PRD, either measured with PRSA or with CWT, is able to measure changes in ventricular repolarization induced by microgravity simulation as well as following sympathetic provocation.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"45 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87323504","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 to 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 (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005766

D. Ge, Alfredo I. Hernández

{"title":"Multi-Feature Probabilistic Detector Applied to Apnea/Hypopnea Monitoring","authors":"D. Ge, Alfredo I. Hernández","doi":"10.23919/CinC49843.2019.9005766","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005766","url":null,"abstract":"Robust, real-time apnea and hypopnea detection for monitoring patients suffering from sleep apnea syndrome (SAS) still represents an open problem due to the effect of noise artifacts, the complexity of respiratory patterns and inter-subject variability. We propose in this study the application of an original multi-feature probabilistic detector (MFPD) for SAS event detection during long-term monitoring recordings on three SAS patients. The nasal pressure signal is used as input to derive a set of respiratory features (variance, peak-to-peak amplitude and total respiration cycle) which are statistically characterized during time and used to provide a mono-feature detection probability in realtime. A centralized fusion approach based on the Kullback-Leibler divergence (KLD), optimally combines these mono-feature distributions in order to produce a final detection. While the optimal feature set selection lies beyond the scope of our study, we illustrate the ability to adapt each feature’s weight dynamically to make centralized fusion decisions. The method can be directly applied to data acquired from multiple sensors as long as features are synchronized. Our proposed fusion method achieves a very high sensitivity (94%) as compared with reference thresholding based methods in the literature.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"67 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75435560","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 Ensemble LSTM Architecture for Clinical Sepsis Detection 用于临床脓毒症检测的集成LSTM体系结构

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005457

S. Schellenberger, Kilin Shi, J. P. Wiedemann, F. Lurz, R. Weigel, A. Koelpin

引用次数: 1

Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models 计算机模型中心房心律失常驱动机制的无创表征

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005867

Victor Gonçalves Marques, M. Rodrigo, M. Guillem, J. Salinet

{"title":"Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models","authors":"Victor Gonçalves Marques, M. Rodrigo, M. Guillem, J. Salinet","doi":"10.23919/CinC49843.2019.9005867","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005867","url":null,"abstract":"Atrial tachycardia (AT), atrial flutter (AFL) and atrial fibrillation (AF) are among the most common cardiac arrhythmias and are driven by localized sources (ectopic focus in AT, macro-reentrant circuit in AFL and rotors in AF) that can be targeted for ablation. We aimed to characterize such mechanisms from the non-invasive perspective of body surface potential mapping (BSPM), using realistic computer models. Dominant frequency (DF) maps were studied to estimate the frequency of the driving mechanism and to analyze its spatio-temporal distribution of this frequency. Singularity points (SPs) were detected in phase maps and their distribution and rotational patterns were compared between arrhythmias. The driver frequencies were more expressed on the anterior portion of the torso for the right atrium and on the posterior portion for the left atrium. Rotational activity was detected in all arrhythmias, with increasing levels of spatial-temporal stability (AF, AT and AFL, respectively). These results can be used to identify the driving mechanisms and, in the future, to locate them in the atria.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"23 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90331913","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

Visualization of the Multichannel Seismocardiogram 多通道地震心动图的可视化

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005739

Kim Munck, J. Struijk, Kasper Sørensen, S. Schmidt

{"title":"Visualization of the Multichannel Seismocardiogram","authors":"Kim Munck, J. Struijk, Kasper Sørensen, S. Schmidt","doi":"10.23919/CinC49843.2019.9005739","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005739","url":null,"abstract":"The multichannel seismocardiography (mchSCG) project aims to develop the technology and knowledge-base to understand the distribution of vibration waves on the chest wall caused by cardio-mechanic events. This study focuses on the developing visualization methods for the vibration waves based on the multi-dimensional map obtained with the mchSCG equipment. We investigated four visualization methods. Vibration signals were collected in a four by four grid with 16 three-axis accelerometers placed on the chest of 11 healthy males. The visualization methods were investigated for their abilities to show temporal, spatial, and directional information. Of the four methods the SCG chart shows best temporal and small amplitude sensitivity information. Color plots provides an improved spatial overview. Tracking maps provide good directionality. The seismic mesh method is good at showing spatial and directionality information. Dependent on which signal aspects are of interest, the four visualization methods have their specific suited purposes. These visualization methods can assist further investigation of the vibration waves behavior and its relation to cardio-mechanic events.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"33 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78245430","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

Mechanism of Sinus Bradycardia in Carriers of the A414G Mutation in the HCN4 Gene HCN4基因A414G突变携带者的窦性心动过缓机制

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005928

A. Verkerk, R. Wilders

{"title":"Mechanism of Sinus Bradycardia in Carriers of the A414G Mutation in the HCN4 Gene","authors":"A. Verkerk, R. Wilders","doi":"10.23919/CinC49843.2019.9005928","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005928","url":null,"abstract":"Heterozygous carriers of the A414G mutation in the HCN4 gene, which encodes the HCN4 protein, show moderate to severe sinus bradycardia. Tetramers of HCN4 subunits constitute the ion channels that conduct the cardiac hyperpolarization-activated ‘funny current’ (If), which plays an important modulating role in the pacemaker activity of sinus node cells.We assessed the mechanism by which the A414G mutation in HCN4 causes sinus bradycardia. We carried out voltage clamp experiments on HCN4 channels expressed in Chinese hamster ovary (CHO) cells and incorporated the experimentally observed mutation-induced changes in If into the Fabbri-Severi model of a single human sinus node cell.In the Fabbri-Severi model, the experimentally observed effects on If increased the cycle length from 813 to 1004 ms, corresponding with a 19% decrease in beating rate from 74 to 60 beats/min. These mutation effects became more prominent at 10 nM ACh (vagal tone) and in the presence of a hyperpolarizing atrial load.We conclude that the experimentally identified mutation-induced changes in If can explain the clinically observed sinus bradycardia in carriers of the A414G mutation in the HCN4 gene.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"18 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75215605","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

Sleep RR-Interval U-Patterns and Their Correlation to Movement Events 睡眠rr -间隔u型模式及其与运动事件的相关性

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005854

Sasan Yazdani, Alexandre Cherqui, N. Bourdillon, G. Millet, J. Vesin

{"title":"Sleep RR-Interval U-Patterns and Their Correlation to Movement Events","authors":"Sasan Yazdani, Alexandre Cherqui, N. Bourdillon, G. Millet, J. Vesin","doi":"10.23919/CinC49843.2019.9005854","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005854","url":null,"abstract":"The aim of this work is to investigate the relation between a phenomenon called \"U-patterns\" and their possible correlation to movement events in the context of sleep deprivation. U-patterns take place in the RR-interval time series during sleep. As their name suggests, these patterns present a U-shaped decrease-increase in RR-intervals, with a duration lasting from 20 to 40 seconds together with a minimum decrease of 15% in the local RR mean value.Over a span of 17 days, 15 healthy subjects (7males, 22.1 ± 1.7 yrs.) participated in a study of three subsequent stages. First, a baseline phase of seven days, during which the subjects slept normally. Immediately after, a sleep deprivation phase with a duration of three days, during which participants slept only three hours per night. Finally, in a 7-day recovery phase subjects went back to their normal baseline sleeping routine. Subjects underwent polysomnography (PSG) data acquisition while sleeping. U-patterns were extracted from RR-intervals while movement events were extracted from different PSG channels. Their relative temporal layout was studied to determine whether U-patterns are caused due to subject movement during sleep or vice versa. Results show that U-pattern/movement events are correlated, always initiated by U-patterns with movement events terminating before the termination of their respective U-patterns.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"54 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85458012","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

Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity 校内波前重建验证及三维传导速度估算

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005884

W. Good, K. Gillette, J. Bergquist, B. Zenger, J. Tate, Lindsay C. Rupp, Devan Anderson, G. Plank, R. Macleod

{"title":"Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity","authors":"W. Good, K. Gillette, J. Bergquist, B. Zenger, J. Tate, Lindsay C. Rupp, Devan Anderson, G. Plank, R. Macleod","doi":"10.23919/CinC49843.2019.9005884","DOIUrl":"https://doi.org/10.23919/CinC49843.2019.9005884","url":null,"abstract":"Introduction: Changes in conduction velocity are indicative of a wide variety of cardiac abnormalities yet measuring conduction velocity is challenging, especially within the myocardial volume. In this study we investigated a novel technique to reconstruct activation fronts and estimate three-dimensional (3D) conduction velocity (CV) from experimental intramural recordings.Methods: From the intermittently sampled electrograms we both reconstruct the activation profile and compute the reciprocal of the gradient of activation times and a series of streamlines that allows for the CV estimation. Results: The reconstructed activation times agreed closely with simulated values, with 50% to 70% of the nodes ≤ 1ms of absolute error. We found close agreement between the CVs calculated using reconstructed versus simulated activation times. Across the reconstructed stimulation sites we saw that the reconstructed CV was on average 3.8% different than the ground truth CV. Discussion: This study used simulated datasets to validate our methods for reconstructing 3D activation fronts and estimating conduction velocities. Our results indicate that our method allows accurate reconstructions from sparse measurements, thus allowing us to examine changes in activation induced by experimental interventions such as acute ischemia, ectopic pacing, or drugs.","PeriodicalId":6697,"journal":{"name":"2019 Computing in Cardiology (CinC)","volume":"51 1","pages":"Page 1-Page 4"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85756615","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: 2

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle 弱监督变形网络用于左心室三维超声心动图分割

2019 Computing in Cardiology (CinC) Pub Date : 2019-09-01 DOI: 10.23919/CinC49843.2019.9005792

Suyu Dong, Gongning Luo, Naren Wulan, Shaodong Cao, Kuanquan Wang, Henggui Zhang

引用次数: 0