2018 Computing in Cardiology Conference (CinC)最新文献

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Estimation of Chest Compression Rate and Detection of Hands-off Intervals During Resuscitation With Automated External Defibrillators 自动体外除颤器复苏过程中胸压率的估计和不干预间隔的检测
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.246
J. Ruiz, S. R. D. Gauna, P. Bahillo, D. González-Otero, P. Sáiz, Daniel Alonso, Karlos Ibarguren
{"title":"Estimation of Chest Compression Rate and Detection of Hands-off Intervals During Resuscitation With Automated External Defibrillators","authors":"J. Ruiz, S. R. D. Gauna, P. Bahillo, D. González-Otero, P. Sáiz, Daniel Alonso, Karlos Ibarguren","doi":"10.22489/CinC.2018.246","DOIUrl":"https://doi.org/10.22489/CinC.2018.246","url":null,"abstract":"Quality of chest compressions (CCs) is key for patient's survival to cardiac arrest. Incorporating real-time feedback on CC rate in automated external defibrillators (AEDs) could enhance CC quality. The aim of the study was to design a method for detecting CC pauses and computing CC rate using the transthoracic impedance (TI) signal acquired from the AED defibrillation pads. We collected 35 AED recordings from a database property of Emergentziak-Osakidetza (Basque Country, Spain). Using the ECG and TI signals, a CC pause was annotated when CCs were interrupted for more than 3 s. The algorithm estimates the CC rate from the autocorrelation of 2-s consecutive TI intervals. The algorithm reported a sensitivity (Se) and a positive predictive value (PPV) in the detection of CC pauses of 97.64%/92.48%. Reliable CC rates were obtained with a Se/PPV of 99.03%/98.61%. Unreliable CC rates were reported only in 0.9% of the cases. A method based on the autocorrelation of the TI signal allows reliable detection of CC pauses and estimation of CC rates, enhancing current AED functionality.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"14 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":"125796723","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
Fetal Developmental Deviations Reflected in a Functional Autonomic Brain Age Score 胎儿发育偏差反映在功能性自主脑年龄评分
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.009
D. Hoyer, A. Schmidt, U. Schneider, K. Gustafson
{"title":"Fetal Developmental Deviations Reflected in a Functional Autonomic Brain Age Score","authors":"D. Hoyer, A. Schmidt, U. Schneider, K. Gustafson","doi":"10.22489/CinC.2018.009","DOIUrl":"https://doi.org/10.22489/CinC.2018.009","url":null,"abstract":"The functional maturation of the fetal autonomic control can be evaluated by means of the fetal Autonomic Brain Age Score (fABAS) that constitutes a non-invasively recordable index of the neural integration of the developing organism. We wanted to know how maternal docosahexaenoic acid (DHA) supplementation that was previously shown to increase traditional fetal and neonatal heart rate variability (HRV) as well as autonomic clusters of Neonatal Behavioral Assessment Scale also influences fABAS. Women were randomized to groups of daily intake of either 600 mg of DHA or placebo during the last two trimesters of pregnancy. fABAS and the included HRV indices were calculated from fetal RR interval series obtained from magnetocardiographic recordings. fABAS was increased in the DHA group at 32 and 36 weeks of gestation (WGA), but by tendency at 24 WGA. Separately considering the factors of fABAS, pNN5 was increased in the DHA group from 32 WGA onwards but ActAmp at 36 WGA only. The combined interpretation of fABAS and its coefficients may provide advanced understanding of the complex neural interactions during fetal development with implementations on age depending nutritional programming effects.","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":"125812847","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
Detecting “Strict” Left Bundle Branch Block from 12-lead Electrocardiogram using Support Vector Machine Classification and Derivative Analysis 基于支持向量机分类和导数分析的12导联心电图“严格”左束支传导阻滞检测
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.030
N. Perera, C. Daluwatte
{"title":"Detecting “Strict” Left Bundle Branch Block from 12-lead Electrocardiogram using Support Vector Machine Classification and Derivative Analysis","authors":"N. Perera, C. Daluwatte","doi":"10.22489/CinC.2018.030","DOIUrl":"https://doi.org/10.22489/CinC.2018.030","url":null,"abstract":"Cardiac Resynchronization Therapy (CRT) is generally indicated for heart failure patients with a left bundle branch block (LBBB). “Strict” LBBB criteria have been proposed as a better predictor of benefit from CRT. Automatic detection of “strict” LBBB criteria may improve outcomes for heart failure patients by reducing high false positive rates in LBBB detection. This study proposes an algorithm to automatically detect “strict” LBBB, developed and tested using ECGs made available via the International Society of Computerized Electrocardiology (ISCE) LBBB initiative. The dataset consists of 12-lead Holter ECGs recorded before the therapy from the MADIT-CRT clinical trial. The algorithm consists of multi-lead QRS complex detection using length transform, a support vector machine (SVM) classifier to identify QS- or rS- configurations and identification of mid-QRS notching and slurring by analyzing the variation of first and second derivatives of the signals respectively. The algorithm achieved an accuracy of 80%, sensitivity of 86%, specificity of 73%, positive predictive value (PPV) of 81% and negative predictive value of 79% on the training set. It achieved accuracy, sensitivity, specificity, PPV and NPV of 81%, 88%, 75%, 79% and 85% on the test set. High sensitivity to minor slurring and errors in QRS detection result in low specificity for LBBB detection.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"31 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":"116061263","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
Temporal Beat-to-Beat Variability of Repolarization Changes Predict Non-Sustained Ventricular Tachycardia in Ischemic Heart Disease Patients 时间复极变化的搏动变异性预测缺血性心脏病患者非持续性室性心动过速
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.018
Jonathan Moeyersons, M. Amoni, B. Vandenberk, C. Varon, K. Sipido, S. Huffel, R. Willems
{"title":"Temporal Beat-to-Beat Variability of Repolarization Changes Predict Non-Sustained Ventricular Tachycardia in Ischemic Heart Disease Patients","authors":"Jonathan Moeyersons, M. Amoni, B. Vandenberk, C. Varon, K. Sipido, S. Huffel, R. Willems","doi":"10.22489/CinC.2018.018","DOIUrl":"https://doi.org/10.22489/CinC.2018.018","url":null,"abstract":"Beat-to-beat variability of repolarization (BVR) is a promising marker of increased arrhythmia risk. BVR analysis could improve non-invasive risk stratification and may be valuable in the management and prevention of ventricular tachycardia (VT). We investigated the temporal evolution in BVR before spontaneous non-sustained ventricular tachycardia (nsVT) in patients with Ischemic Heart Disease (IHD). 24h Holter recordings from 20 IHD patients were collected prior to implantable cardioverter-defibrillator (ICD) implantation. After R-peak detection, Q-wave onset and T-wave offset were determined with a semi-automated template matching technique. The QT-annotation was manually verified and adjusted if necessary. Episodes of nsVT were semi-automatically identified and BVR was assessed at time points 1, 5 and 30 minutes prior to nsVT, and at a fixed moment during sleep (03:00am). Resting BVR, measured at 03:00am, was 7.26 ± 3.88 ms and was significantly (p<0.05) higher at 5 minutes (14.40 ± 7.61 ms) and 1 minute (18.01 ± 6.48 ms), but not at 30 minutes (8.90 ±4.93 ms) prior to nsVT. These preliminary results reinforce the value of BVR analysis in the risk stratification of IHD patients; and identify a novel prediction method of impending VT that could be used for real-time analysis and monitoring.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"32 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":"122637044","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
Modelling the Effects of Propafenone on Human Atrial Patho-Electrophysiology Associated With hERG-Linked Short QT Syndrome 模拟普罗帕酮对与heg相关的短QT综合征相关的人心房病理电生理的影响
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.133
Dominic G. Whittaker, J. Hancox, Henggui Zhang
{"title":"Modelling the Effects of Propafenone on Human Atrial Patho-Electrophysiology Associated With hERG-Linked Short QT Syndrome","authors":"Dominic G. Whittaker, J. Hancox, Henggui Zhang","doi":"10.22489/CinC.2018.133","DOIUrl":"https://doi.org/10.22489/CinC.2018.133","url":null,"abstract":"The N588K mutation to the human Ether-à-go-go-Related Gene (hERG) underlies short QT syndrome variant 1 (SQT1), which is associated with atrial fibrillation (AF). However, mechanisms and management of AF in the context of SQT1 remain poorly understood. In this study, multi-scale computational modelling was used to investigate pharmacotherapeutic effects of the class Ic drug propafenone for SQT1-mediated human atrial patho-electrophysiology. A Markov chain formulation of rapid delayed rectifier potassium current, IKr, describing wild type (WT) and N588K mutant currents was incorporated into a recent model of the human atrial action potential (AP), which was integrated into multi-scale tissue models. Effects of multi-channel block by propafenone were simulated on single- and multi-cellular electrophysiology models. At the single cell level, propafenone prolonged the AP duration under SQT1 (heterozygous N588K) conditions in a dose-dependent manner. In tissue, propafenone prolonged the effective refractory period and excitation wavelength, whilst reducing the conduction velocity. In 2D sheet simulations, propafenone demonstrated efficacy in pharmacological conversion of re-entry. Our findings suggest that propafenone shows efficacy in reversing AF associated with hERG-linked short QT syndrome.","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":"128578024","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
Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest 基于隐马尔可夫模型和随机决策森林的呼吸努力相关唤醒检测
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.089
J. Szalma, A. Bánhalmi, Vilmos Bilicki
{"title":"Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest","authors":"J. Szalma, A. Bánhalmi, Vilmos Bilicki","doi":"10.22489/CinC.2018.089","DOIUrl":"https://doi.org/10.22489/CinC.2018.089","url":null,"abstract":"The efficient detection of respiratory effort-related arousals requires enormous amount of data and a suitable learning model. Using a dataset taken from PhysioNet.org, windows of 20 seconds were extracted with their median aligned with the starting point of the arousals. The same amount of data was selected from non-arousal regions. Features derived using these windows were reduced to 38 by using various feature selection methods. A cross-validated Random Forest (RF) was used for the evaluation. The training data was processed with a 20-second sliding window and a 1 second resolution. Windows were labelled according to their temporal location in the data. This was used to train three separate RFs on different parts of the data, which provided a probability emission model. The probability values used in a Hidden Markov Model and established the most probable path with the Viterbi algorithm. Probability values were aggregated based on the Viterbi path, then smoothed and resampled to match the original sample rate. This method achieved an 0.29 score of AUPRC.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"13 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":"129247323","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
Intrinsic Complexity of RR and QT Intervals at the Cellular Level 细胞水平上RR和QT间期的内在复杂性
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.179
Jiyeong Kim, I. Potapov, Disheet A Shah, Jukka Kuusela, K. Aalto-Setälä, Esa Räsänen
{"title":"Intrinsic Complexity of RR and QT Intervals at the Cellular Level","authors":"Jiyeong Kim, I. Potapov, Disheet A Shah, Jukka Kuusela, K. Aalto-Setälä, Esa Räsänen","doi":"10.22489/CinC.2018.179","DOIUrl":"https://doi.org/10.22489/CinC.2018.179","url":null,"abstract":"We characterize the complexity of interbeat intervals (IBIs) and field potential durations (FPDs) of human-induced plurioptent stem cell-derived cardiomyocytes (hiPSC-CMs). The complexity is assessed using the multiscale entropy (MSE) method up to the scale of ten beats. The MSE profiles of healthy and diseased (long-QT syndrome) hiPSC-CMs show important differences, which demonstrate the usefulness of the method in the characterization of the cells and in the analysis of hereditary cardiac diseases. We show that the intrinsic complexity is possibly altered by the differentiation methods, as well as the age and mutations of the cells.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"19 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":"129365641","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
Early Results on the Utilisation of ECG-Imaging During Catheter Ablation Procedures for Prediction of Sites of Earliest Activation During Re-entrant Ventricular Tachycardia 导管消融过程中利用心电图成像预测再入性室性心动过速最早激活部位的早期结果
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.283
M. Orini, A. Graham, M. Dhinoja, R. Hunter, R. Schilling, A. Chow, P. Taggart, P. Lambiase
{"title":"Early Results on the Utilisation of ECG-Imaging During Catheter Ablation Procedures for Prediction of Sites of Earliest Activation During Re-entrant Ventricular Tachycardia","authors":"M. Orini, A. Graham, M. Dhinoja, R. Hunter, R. Schilling, A. Chow, P. Taggart, P. Lambiase","doi":"10.22489/CinC.2018.283","DOIUrl":"https://doi.org/10.22489/CinC.2018.283","url":null,"abstract":"Success rate of ventricular tachycardia (VT) ablation remains sub-optimal. Current technology does not allow fast and accurate delineation of the ablation target. Noninvasive panoramic ECG-imaging (ECGI) offers the possibility of studying the interaction between arrhythmogenic substrate and earliest sites of activation during VT to improve ablation strategies. ECGI mapping (CardioInsight, Medtronic) was performed in 5 patients undergoing VT ablation. Ventricular pacing was delivered from the RV and three indices were measured at each ventricular site to map susceptibility to arrhythmia initiation: Re-entry vulnerability index (RVI), local dispersion of AT (ΔAT) and local dispersion of repolarization (ΔARI). Regions of high susceptibility were defined as those corresponding to the bottom 5% of RV I and the upper 5% of ΔAT and ΔARI. Morphologically distinct VTs were analyzed to measure the AT sequence and localize the region of earliest epicardial activation (AT < 5 ms). In total, 20 VTs were analyzed (4.0 ± 1.2 per patient). The minimum distance between the region of high vulnerability and the region of earliest AT during VT was 5.6 ± 8.6 mm for RV I, 6.1 ± 10.8 mm for ΔAT and 12.8 ± 22.4 mm for ΔARI (P > 0.13 for all pair-wise comparison). The vulnerable region presented at least partial overlap with the region of earliest activation during VT in 50%, 55% and 50% of all VTs for RV I, ΔAT and ΔARI, respectively. These early data confirm the mechanistic link between markers of arrhythmogenic risk and VT initiation and suggest that ECGI could be potentially used for targeting ablation in non-inducible or hemodynamically non-tolerated VTs.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"27 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":"124972402","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 Comparative Phonocardiography Study: Two Wavelet Based Methods for Fetal Heart Sound Detection 心音对比研究:两种基于小波的胎儿心音检测方法
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.276
Elisavet Koutsiana, L. Hadjileontiadis, A. Khandoker, I. Chouvarda
{"title":"A Comparative Phonocardiography Study: Two Wavelet Based Methods for Fetal Heart Sound Detection","authors":"Elisavet Koutsiana, L. Hadjileontiadis, A. Khandoker, I. Chouvarda","doi":"10.22489/CinC.2018.276","DOIUrl":"https://doi.org/10.22489/CinC.2018.276","url":null,"abstract":"The Fetal Heart Rate (FHR) periodic monitoring is an essential part during pregnancy. Auscultation is a noninvasive low cost technique for the heart sound examination. However, Fetal Phonocardiogram (fPCG) signals are correlated with high background noise due to the maternal organs. The aim of this study is to develop an automatic analysis technique to identify the location of the FHSs in fPCGs signals and calculate the FHR. In this paper two denoising methods are proposed and compared in real and simulated fPCGs signals. The signals were analyzed in the Wavelet domain and then two methods were proposed for the detection of the FHSs. The first approach combines the Wavelet Transform with the Fractal Dimension analysis (WT-FD) while the second approach combines the Wavelet Transform with Simplicity Filtering (WT-S), which is computed by the eigenvalue spectrum method. Both methods present good performance with the WT-FD presenting 88% precision, 93% recall and WT-S 71% and 72% respectively in fetal heart sounds detection in simulated signals from −4.4 to -26.7dB, while the WT-S method is more unstable in cases with robust noise than the WT-FD. For the real data preliminary results are presenting and analyzed.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"8 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":"129462887","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 Microgravity on Action Potential Wave Propagation in Rat Transmural Ventricle Tissue 微重力对大鼠跨壁脑室组织动作电位波传播的影响
2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.191
Xiangyun Bai, Kuanquan Wang, Qince Li, Cunjin Luo, Yacong Li, Henggui Zhang
{"title":"Effects of Microgravity on Action Potential Wave Propagation in Rat Transmural Ventricle Tissue","authors":"Xiangyun Bai, Kuanquan Wang, Qince Li, Cunjin Luo, Yacong Li, Henggui Zhang","doi":"10.22489/CinC.2018.191","DOIUrl":"https://doi.org/10.22489/CinC.2018.191","url":null,"abstract":"Experiments mimicking microgravity condition have multiple effects on cardiac electrophysiology. Therefore, based on experimental data of rats with 2-weeks (short term) and 4-weeks (long term) tail suspension, effect of microgravity on action potentials (APs) were simulated by decreasing $I_{CaL}$ and increasing $I_{NaK}$ based on rat endocardial and epicardial models. Additionally, a 1D model was constructed by considering the increasing of connexin 43 under microgravity condition. Simulation results show that $I_{CaL}$ and $I_{NaK}$ changes have similar effect in reducing APD90 under short term condition, while the inhibition of $I_{CaL}$ is the main factor in reducing APD90 under long term condition. The simulated pseudo-ECG in both conditions showed a shortened QT interval and depressed of ST phase and $T$ wave as experimental observations. Increased expression of connexin 43 in microgravity condition resulted in a mild increase in conduction velocity. Meanwhile, the vulnerable window in 1D ventricle strand reduced in microgravity condition. Compared with short term microgravity condition, all these changes were more prominent in the long term microgravity condition. In conclusion, this study provides new insight into understanding of impaired cardiac functions in short and long term microgravity conditions during spaceflight.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"193 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":"114229126","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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