2018 Computing in Cardiology Conference (CinC)最新文献_第10页

PCG-Delineator: an Efficient Algorithm for Automatic Heart Sounds Detection in Fetal Phonocardiography pcg -划定器:一种有效的胎儿心音自动检测算法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.045

A. Strazza, A. Sbrollini, V. D. Battista, Rita Ricci, L. Trillini, Ilaria Marcantoni, M. Morettini, S. Fioretti, L. Burattini

{"title":"PCG-Delineator: an Efficient Algorithm for Automatic Heart Sounds Detection in Fetal Phonocardiography","authors":"A. Strazza, A. Sbrollini, V. D. Battista, Rita Ricci, L. Trillini, Ilaria Marcantoni, M. Morettini, S. Fioretti, L. Burattini","doi":"10.22489/CinC.2018.045","DOIUrl":"https://doi.org/10.22489/CinC.2018.045","url":null,"abstract":"Fetal phonocardiography (FPCG) is a non-invasive electronic recording of the acoustic cardiac signals. Unfortunately, FPCG is hidden by high-amplitude noise which makes detection of FPCG waveforms challenging. Aim of the study is to propose PCG-Delineator as an algorithm for automatic detection of the first and second heart sound (S1 and S2, respectively) from FPCG. To this aim, 37 simulated FPCG tracings (Physionet) are filtered by a wavelet-based procedure (4th order Coiflets mother wavelet with 7 decomposition levels) to erase noise. Successively, S1 and S2 are detected. S1 detection procedure is threshold-based (threshold=30% of the filtered FPCG signal maximum amplitude), under the condition that 40ms separate two consecutive S1 sounds. S2 detection procedure is also threshold-based, but under the conditions that S2 has to fall 100ms after preceding S1 and 200ms before successive S1, and that S2 has to have an amplitude lower than 80% that of preceding S1. Sensitivity (SE) and positive predictive values (PPV) were computed. Results indicate that PCG-Delineator was able to reduce noise (our SNR: from −1.1÷7.4dB to 12.9÷17.9dB; P<10−14) and to accurately detect both S1 (SE: 88%; PPV: 91%) and S2 (SE: 77%; PPV:99%). In conclusion, PCG-Delineator is an efficient algorithm for automatic heart sounds detection in FPCG.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"35 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":"127630615","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: 8

The Cardiorespiratory Graph in Sleep Apnea and Associated Comorbidities 睡眠呼吸暂停及相关合并症的心肺图

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.192

C. Varon, Margot Deviaene, Dries Hendrikx, Sara Van de Putte, D. Testelmans, B. Buyse, S. Huffel

引用次数: 0

Determining Surface Stimulation Parameters With Computational Cardiac Electrophysiology to Defibrillate Human Ventricles 用计算心脏电生理确定表面刺激参数以使人心室除颤

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.118

Angel Moreno, R. Walton, C. Hawks, O. Bernus, E. Vigmond, J. Bayer

{"title":"Determining Surface Stimulation Parameters With Computational Cardiac Electrophysiology to Defibrillate Human Ventricles","authors":"Angel Moreno, R. Walton, C. Hawks, O. Bernus, E. Vigmond, J. Bayer","doi":"10.22489/CinC.2018.118","DOIUrl":"https://doi.org/10.22489/CinC.2018.118","url":null,"abstract":"Aim: To determine the minimal surface stimulus strength necessary to defibrillate human ventricles. Methods: We determined this in a 10cmx10cmx1cm finite element model of left ventricular (LV) tissue with human electrophysiology. It was paced until steady-state at 1.3 Hz with S1 stimuli (LV apex) at 2x threshold. A single S2 stimulus (apical posterior corner) was delivered at 2x threshold 300 ms after the last S1 to initiate reentry at the model's center. To terminate reentry, an S3 stimulus on the entire epicardial, endocardial, or both surfaces was applied 2 seconds after S2. Starting at the capture threshold, S3 strength was doubled until reentry terminated. Results: Minimum stimulus strength to terminate reentry with endocardial and epicardial S3 was > 512-fold capture threshold, but only 16-fold for S3 applied to both surfaces simultaneously. Extending the S3 depth to the midmyocardium lowered the minimum stimulus strength for defibrillation to 8-fold capture threshold on the endocardium and 16-fold on the epicardium. This difference corresponds to a longer wavelength for reentry in the endocardium versus epicardium (6.6 cm vs 5.3 cm). Conclusion: Stimulating both the endocardial and epicardial surfaces at $ge 16$ times capture threshold is optimal to defibrillate human ventricles, and is decreased further for stimuli applied deeper in the tissue.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"113 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":"129743785","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

Sleep Apnea Detection Using Pulse Photoplethysmography 脉冲光容积脉搏波检测睡眠呼吸暂停

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.134

Margot Deviaene, J. Lázaro, Dorien Huysmans, D. Testelmans, B. Buyse, S. Huffel, C. Varon

{"title":"Sleep Apnea Detection Using Pulse Photoplethysmography","authors":"Margot Deviaene, J. Lázaro, Dorien Huysmans, D. Testelmans, B. Buyse, S. Huffel, C. Varon","doi":"10.22489/CinC.2018.134","DOIUrl":"https://doi.org/10.22489/CinC.2018.134","url":null,"abstract":"This study investigates the use of pulse photoplethysmography (PPG) for the detection of sleep apnea and its added value to oxygen saturation (SpO2) based detection. PPG-time series known to be modulated by both respiration and the autonomous nervous system were derived: pulse rate, amplitude and width variability, slope transit time, maximal pulse upslope and the area under the PPG peak. Moreover, the instantaneous power in the high and low frequency band of the pulse rate was estimated using a point-process model. For all extracted time series, five features were computed over a 1 minute interval: the mean, minimum and maximum value, standard deviation and gradient. Feature selection resulted in the 6 most discriminative features for PPG based detection of apneic minutes. These features were used as input for a least-squares support vector machine classifier, which was applied on polysomnographic data of 102 subjects suspected of having sleep apnea-hypopnea syndrome. A classification accuracy of 68.7 % was achieved. When SpO2 features were added to the classifier the accuracy increased to 83.4 %, which is only slightly higher than the 82.2 % obtained using only SpO2. These results show the potential of PPG features for sleep apnea detection, however, their added value to SpO2 is limited.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"41 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":"128021306","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

Action Potential Modeling in Isolated Rat Hearts During Hypokalemia 低钾血症时离体大鼠心脏动作电位模拟

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.149

M. Llamedo, A. Santini, Emiliano Diez

引用次数: 0

Mean Temporal Spatial Isochrones Direction as Marker for Activation Delay in Patients with Arrhythmogenic Cardiomyopathy 平均时空等时线方向作为致心律失常心肌病患者激活延迟的标志

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.033

R. Roudijk, P. Loh, E. V. Dam, P. V. Dam

引用次数: 4

Determining the Respiratory State From a Seismocardiographic Signal - A Machine Learning Approach 从地震心动图信号中确定呼吸状态——一种机器学习方法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.203

Christian Ulrich, Martin Jensen, Rolf Hansen, K. Tavakolian, F. Khosrow-Khavar, A. Blaber, Kasper Sørensen, S. Schmidt

{"title":"Determining the Respiratory State From a Seismocardiographic Signal - A Machine Learning Approach","authors":"Christian Ulrich, Martin Jensen, Rolf Hansen, K. Tavakolian, F. Khosrow-Khavar, A. Blaber, Kasper Sørensen, S. Schmidt","doi":"10.22489/CinC.2018.203","DOIUrl":"https://doi.org/10.22489/CinC.2018.203","url":null,"abstract":"Seismocardiography (SCG) is a non-invasive method for measurement of vibrations on the chest wall originating from the heart. Respiration changes the morphology of the SCG-signal and analyzing these changes could improve the diagnostic value of SCG. This study aimed to determine the nasal respiration signal amplitude at mitral closure (MC) and aortic opening (AO) using SCG features. The three proposed methods for this were multiple regression analysis (MRA), support vector regression (SVR), and a neural network (NN). SCG, Electrocardiography and nasal-catheter flow signals were acquired from 18 healthy subjects (age $29pm 6$). SCG-signal fiducial points were used as features and were found using an automatic algorithm followed by manual verification. Fiducial points amplitudes, timings between these and frequency components formed 12 features. All models were trained on 80% of the data, underwent 10-fold cross-validation and were tested on the remaining 20% of the data. Predictions on test data for MC and AO time points, the Pearson correlations coefficient, and sum of squared errors of prediction were: $(r_{MC}, r_{AO}, SSE_{MC}, SSE_{AO})$ for the following models: NN (0.908, 0.904, 11.71, 12.05), SVR (0.881, 0.833, 18.95, 19.76) and MRA (0.450, 0.437, 51.21, 51.48). These predictive models show a strong correlation between the SCG-signal and respiration.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"1 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":"115184030","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

Inward Rectifier Current Downregulation Promotes Spontaneous Calcium Release in a Novel Model of Rat Ventricular Electrophysiology 在一种新的大鼠心室电生理模型中，内向整流电流下调促进自发钙释放

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.156

Harley J. Stevenson-Cocks, M. Colman, E. White, A. Benson

{"title":"Inward Rectifier Current Downregulation Promotes Spontaneous Calcium Release in a Novel Model of Rat Ventricular Electrophysiology","authors":"Harley J. Stevenson-Cocks, M. Colman, E. White, A. Benson","doi":"10.22489/CinC.2018.156","DOIUrl":"https://doi.org/10.22489/CinC.2018.156","url":null,"abstract":"Aberrant intracellular calcium handling, as observed in diseases such as heart failure, promotes lethal ventricular arrhythmias and sudden cardiac death. Recent data from our laboratory suggests that reduced expression of the inward rectifier current in failing rat myocytes increases spontaneous calcium release, however existing computational models are unable to reproduce the underlying stochastic calcium cycling dynamics and so we have been unable to use simulation approaches to explore the cause of this pro-arrhythmic behaviour. Here, we develop a novel model of rat ventricular electrophysiology that reproduces normal spatio-temporal calcium dynamics. Simulations implementing a similar reduction in inward rectifier current to that observed experimentally show that spontaneous calcium release is promoted by action potential prolongation and sarcoplasmic reticulum loading in the presence of a depolarised resting membrane potential. Combined, these effects can result in triggered activity. The model therefore provides insight into arrhythmogenic mechanisms in failing ventricular myocytes and can be utilised to further explore pro-arrhythmic behaviour caused by abnormal calcium handling.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"135 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":"132328855","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

Characterization of Pulmonary Arterial Hypertension Using Right Ventricular Regional Curvedness Derived from CMR Imaging 肺动脉高压的CMR右室局部曲度特征分析

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.167

S. Teo, Xiaodan Zhao, R. Tan, L. Zhong, Yi Su

{"title":"Characterization of Pulmonary Arterial Hypertension Using Right Ventricular Regional Curvedness Derived from CMR Imaging","authors":"S. Teo, Xiaodan Zhao, R. Tan, L. Zhong, Yi Su","doi":"10.22489/CinC.2018.167","DOIUrl":"https://doi.org/10.22489/CinC.2018.167","url":null,"abstract":"Pulmonary arterial hypertension (PAH) is a hemodynamic and pathophysiological condition defined as mean pulmonary artery pressure greater than 25 mmHg at rest by right heart catheterization (RHC). PAH may develop decompensated hemodynamics leading to progressive right ventricular (RV) dilation, shape alteration, dysfunction and failure. However, quantification of RV shape is challenging due to its complex geometry. We proposed using geometry based curvedness index at the end-systole phase (CES) computed from cardiac magnetic resonance (CMR) imaging to characterize PAH patients. All participants underwent CMR imaging and the 3D RV geometry were reconstructed in the form of a triangulated surface mesh partitioned into 13 segments based on our previous works. Our preliminary results are: There is a significant difference in CES for free-wall segments aggregated across the basal, mid-layer and apical regions for the PAH and control groups (p < 0.05). For the mid-layer region, the mean CES for free-wall segments for PAH patients with New York Heart Association (NYHA) class 2 is significantly different as compared to the control group (p<0.05). Similarly, for the apical region, the mean CES for free-wall segments in PAH patients in NYHA class 2 and 3 are also significantly different as compared to the control group (p < 0.05).","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":"130923503","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

Pilot Study on Electrocardiogram Derived Respiratory Rate Using a Wearable Armband 基于可穿戴臂带的心电图呼吸率的初步研究

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.054

J. Lázaro, R. Bailón, E. Gil, Yeonsik Noh, P. Laguna, K. Chon

引用次数: 9