2018 Computing in Cardiology Conference (CinC)最新文献_第9页

Automatic Segmentation of Myocardial Infarction in Rats Subjected to Regional Ischemia 局部缺血大鼠心肌梗死的自动分割

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.128

Roman Jakubícek, Jiří Chmelík, J. Neckář, R. Kolář

引用次数: 0

Functional Data Analysis for ECG Recordings of Paroxysmal Atrial Fibrillation Patients Before and After Pulmonary Vein Isolation 阵发性心房颤动患者肺静脉隔离前后心电图功能数据分析

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.306

N. Ortigosa, Guillermo Ayala, Ó. Cano

引用次数: 0

Heart Sounds Obtained With Non-Contact Continuous-Wave Echo Doppler 用非接触连续波回声多普勒获得心音

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.342

J. Struijk, Dagbjört Helga Eiriksdóttir, Ásgerdur Arna Pálsdóttir, S. Schmidt

{"title":"Heart Sounds Obtained With Non-Contact Continuous-Wave Echo Doppler","authors":"J. Struijk, Dagbjört Helga Eiriksdóttir, Ásgerdur Arna Pálsdóttir, S. Schmidt","doi":"10.22489/CinC.2018.342","DOIUrl":"https://doi.org/10.22489/CinC.2018.342","url":null,"abstract":"Heart sounds can be obtained in various ways. A recent modality is airborne ultrasound echo Doppler, which has been used either in a pulsed wave mode or a continuous wave mode. In the present work we analyse the continuous wave ultrasound echo from the chest. In 10 subjects a piezo ultrasound transceiver was used to transmit a 40 kHz acoustic sine wave directed to the chest wall. The reflected signal (echo) was recorded with a microphone and sampled at 1 MHz. The FM modulated echo was demodulated in MatLab using a quadrature signal. The signal thus obtained represented the chest displacement, which was subdivided into three frequency bands: respiration (below 0.5 Hz), movement of the myocardium (>1 Hz) and valve sounds (30–100 Hz). Above 100 Hz the signal decayed by 20 dB/decade with a noise floor above 1–2 kHz. Interestingly, signals obtained directly from the skin and signals obtained through a thin layer of clothes were similar. Non-contact continuous-wave echo Doppler thus is a promising new modality for the recording of heart sounds, although its true potential has to be further investigated.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"128 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":"133857194","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

Detection of ST-Segment Variation in ECG Using Transfer Entropy 利用传递熵检测心电st段变化

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.085

I. Potapov, Esa Räsänen

引用次数: 0

The Effect of Beat Interval on Ventricular Repolarisation in Atrial Fibrillation 心跳间隔对心房颤动心室复极的影响

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.294

M. Al-Karadi, A. J. Wilkinson, P. Langley

{"title":"The Effect of Beat Interval on Ventricular Repolarisation in Atrial Fibrillation","authors":"M. Al-Karadi, A. J. Wilkinson, P. Langley","doi":"10.22489/CinC.2018.294","DOIUrl":"https://doi.org/10.22489/CinC.2018.294","url":null,"abstract":"Atrial fibrillation (AF) is characterised by rapid beat interval changes. The aim of the study was to investigate the effect of such changes on ECG ventricular repolarisation characteristics. In 10 AF recordings beat averaging of lead V4 was used to generate averaged T waves where the preceding beat interval (R-R) was either short (625+/−25 ms) or long (1075+/−25 ms). The amplitudes of T wave (T amp) and T wave end, defined as the TU nadir, (TUn amp), and the intervals for R wave to T wave peak (R-T) and R wave to T wave end (R-TUn) where measured from these average beats. Difference in measured T wave characteristics between short and long beat intervals were quantified. All measurements increased significantly for long preceding beat intervals compared to short: T amp (mean±SD) 0.31±0.17 mV (short) vs 0.35±0.20 mV (long) (p = 0.04); TUn amp 0.00±0.02 mV (short) vs 0.03±0.03 mV (long) (p = 0.009); R-T 251.7±13.5 ms (short) vs 264.2±12 ms (long) (p = 0.002) and R-TUn 376.5±31 ms (short) vs 392±26.5 ms (long) (p=0.027). ECG T wave characteristics are significantly affected by preceding ventricular beat interval in AF.","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":"126965886","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

Variational Mode Decomposition Features for Heartbeat Classification 心跳分类的变分模式分解特征

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.231

Amalia Villa Gómez, Sibasankar Padhy, R. Willems, S. Huffel, C. Varon

{"title":"Variational Mode Decomposition Features for Heartbeat Classification","authors":"Amalia Villa Gómez, Sibasankar Padhy, R. Willems, S. Huffel, C. Varon","doi":"10.22489/CinC.2018.231","DOIUrl":"https://doi.org/10.22489/CinC.2018.231","url":null,"abstract":"In software applications to analyse Heart Rate Variability (HRV) or to detect heart rhythm disorders, automatic heartbeat classification is a first step to expose abnormalities in the electrical activity of the heart. We propose a new morphological description of heartbeats based on Variational Mode Decomposition (VMD) to classify them as normal, supraventricular or ventricular. The proposed approach combines the features extracted from the different modes with time features, and it is designed for single-lead applications. The features are fed to an LS-SVM classifier, using an RBF kernel, 10-fold cross-validation and 50% of balanced data as training. In this study, two different approaches were tested: one considering an intra-patient approach inspired by a semi-supervised application, in which the same patients form the training and the test set; and a second inter-patient approach, in which the training and the testing signals belong to different patients. The method reports an average accuracy of 92.17% and sensitivities of 92.84%, 72.56% and 91.25% for normal, supraventricular and ventricular beats respectively, which is in line with the state of the art.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"201 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":"116168776","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

Dynamical Landscape of Heart Rhythm in Discerning Erratic Rhythm in Elderly People 心律动态景观在识别老年人不规则心律中的作用

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.243

D. Makowiec, D. Wejer, Joanna Wdowczyk, Marta Żarczyńska-Buchowiecka, Z. Struzik

{"title":"Dynamical Landscape of Heart Rhythm in Discerning Erratic Rhythm in Elderly People","authors":"D. Makowiec, D. Wejer, Joanna Wdowczyk, Marta Żarczyńska-Buchowiecka, Z. Struzik","doi":"10.22489/CinC.2018.243","DOIUrl":"https://doi.org/10.22489/CinC.2018.243","url":null,"abstract":"We hypothesize that increase with age of short-term measures of heart rhythm [a way in which accelerations and decelerations appear], especially dynamical pattern indices [Transition Rates (ST) or self-Transfer Entropy (sTE)], provide indicates for unhealthy autonomic activity or cardiac tissue remodeling in elderly people. Hence they can help in early recognition of arrhythmogenesis processes. Based on properties of heart rhythm of 190 healthy persons, grouped into their age decade, we have found that both ST and sTE are efficient separators for discerning elderly people with erratic rhythm. The values in minimum in ST = 2.4 and minimum in sTE = 0.27, obtained by square function approximation, have been used to divide subjects of 70s and 80s into two groups. For all entropic measures these groups are different (p < 0.001, in t-test or Man-Whitney in case normality test failed). The fragmentation metrics [based on statistics of signs of heart rate changes] PPP and PAS also distingushed these groups though at greater p- value, and PSS yielded that the groups are identical. The minima of these function did not give satisfactory division of elderly into groups. Concluding, frequent changes in heart rate acceleration sign and size are the best signature for anomalous levels of short-term heart rate variability in elderly people.","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":"122185629","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 the β-Adrenoceptor Blocker Carvedilol in Short QT Syndrome Caused by N588K Mutation in HERG: A Simulation Study β-肾上腺素受体阻滞剂卡维地洛在HERG N588K突变致短QT综合征中的作用:模拟研究

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.166

Cunjin Luo, L. Li, Tong Liu, Kuanquan Wang, Xiangyun Bai, Ying He, Henggui Zhang

{"title":"Effects of the β-Adrenoceptor Blocker Carvedilol in Short QT Syndrome Caused by N588K Mutation in HERG: A Simulation Study","authors":"Cunjin Luo, L. Li, Tong Liu, Kuanquan Wang, Xiangyun Bai, Ying He, Henggui Zhang","doi":"10.22489/CinC.2018.166","DOIUrl":"https://doi.org/10.22489/CinC.2018.166","url":null,"abstract":"The short QT syndrome (SQTS) is associated with shortening of QT interval resulting from an accelerated cardiac repolarization. The SQT1, SQTS variant, results from a gain-of-function N588K-KCNH2 mutation in the rapid delayed rectifier potassium current $(I_{Kr})$ channels. Since $beta$ - Adrenoceptor blocker can block slow delayed rectifier potassium currents $(I_{Ks)}$ and $I_{Kr}$ we used in silico approach to evaluate carvedilol's effects on SQT1. Mathematical models of human ventricular action potential (AP) developed by ten Tusscher et al. were modified to incorporate a Markov chain formulation of $I_{Kr}$ describing the SQT1 mutant condition. AP models were incorporated into a transmural strand for investigation of QT interval changes. In addition, the simulated $I_{Ks}$ and $I_{Kr}$ inhibition to prolong the QT interval in SQT1 was quantified. The blocking effects of carvedilol on $I_{Ks}$ and $I_{Kr}$ were modelled by using Hill coefficient and $IC_{50}$ from literatures (10 μ M carvedilol reduced $I_{Kr}$ in Wild Type- and N588K-KCNH2 by 92.8% and 36.0%; it reduced $I_{Ks}$ by 36.5% in both conditions). At single cell level, carvedilol prolonged the AP duration (APD) in SQT1; at strand level, the effects of carvedilol normalized the QT interval in SQT1 from 286 ms to 364 ms. Simulations identified $beta$ - Adrenoceptor blocker carvedilol as a potential drug for SQTS treatment.","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":"123950513","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

Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG 有限通道心电检测心脏病的神经网络模型泛化研究

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.378

Deepta Rajan, D. Beymer, Girish Narayan

引用次数: 9

Versatile Detector of Pseudo Periodic Patterns 伪周期图案的多功能检测器

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.379

A. Santini, Emiliano Diez, M. Llamedo

引用次数: 1