2018 Computing in Cardiology Conference (CinC)最新文献_第6页

An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms 基于小波变换的心电图电力线噪声降噪算法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.200

J. Ródenas, Manuel García, J. J. Rieta, R. Alcaraz

{"title":"An Efficient Algorithm Based on Wavelet Transform to Reduce Powerline Noise From Electrocardiograms","authors":"J. Ródenas, Manuel García, J. J. Rieta, R. Alcaraz","doi":"10.22489/CinC.2018.200","DOIUrl":"https://doi.org/10.22489/CinC.2018.200","url":null,"abstract":"Nowadays, the electrocardiogram (ECG) is still the most widely used signal for the diagnosis of cardiac pathologies. However, this recording is often disturbed by the powerline interference (PLI), its removal being mandatory to avoid misdiagnosis. Although a broad variety of methods have been proposed for that purpose, often they substantially alter the original signal morphology or are computationally expensive. Hence, the present work introduces a simple and efficient algorithm to suppress the PLI from the ECG. Briefly, the input signal is decomposed into four Wavelet levels and the resulting coefficients are thresholded to remove the PLI estimated from the TQ intervals. The denoised ECG signal is then reconstructed by computing the inverse Wavelet transform. The method has been validated making use of fifty 10-min length clean ECG segments obtained from the MIT-BIH Normal Sinus Rhythm database, which were contaminated with a sinusoidal signal of 50 Hz and variable harmonic content. Comparing the original and denoised ECG signals through a signed correlation index, improvements between 10-72% have been observed with respect to common adaptive notch filtering, implemented for comparison. These results suggest that the proposed method is featured by an enhanced trade-off between noise reduction and signal morphology preservation","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":"125675053","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

Investigating Sleep Fragmentation By Autonomic Arousals in Depressed Patients With Obstructive Sleep Apnea 抑郁症伴阻塞性睡眠呼吸暂停患者的自主觉醒睡眠破碎性研究

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.175

A. Khandoker, L. Hadjileontiadis, S. Kassie, T. Alsaadi

{"title":"Investigating Sleep Fragmentation By Autonomic Arousals in Depressed Patients With Obstructive Sleep Apnea","authors":"A. Khandoker, L. Hadjileontiadis, S. Kassie, T. Alsaadi","doi":"10.22489/CinC.2018.175","DOIUrl":"https://doi.org/10.22489/CinC.2018.175","url":null,"abstract":"The aim of this study is to look at if there is any difference of arousal patterns in polysomnography (PSG) and Pulse Transit Time (PTT) recordings in Obstructive Sleep Apnea (OSA) patients with Major Depressive Disorder (MDD) and without MDD subjects. Nine overnight PSG recordings ($7sim 8$ hours) were acquired from OSA subjects (AHI: $15sim 60; 36.68pm 13.55$ events/hour) with MDD diagnoses [OSAMDD](5 cases) and OSA subjects (AHI: $15sim 60; 38.37pm 19.61$) without MDD [OSA](4 cases) from a local psychiatric clinic. Selection criteria include the age [39.5± 5 vs 41.4± 3.5 yrs; p > 0.05] and weight [120.2± 10 vs 118.6± 12 Kgs; p > 0.05] matched subjects. Diagnoses of MDD were made by the Mini-International Neuropsychiatric Interview with ICD-10 questionnaire. A PTT arousal (ArPTT) was defined as a decrease in PTT by at least 15 milliseconds of the baseline lasting at least 5 seconds. Expert scored EEG based cortical arousals (ArEEG) include respiratory, movement, periodic leg movement and spontaneous arousals. Mann-Whitney $U$ test showed that ArPTT index (events per hour) of OSA+MDD was significantly (p < 0.05) higher than that of OSA groups [36.56± 5.6 vs 28.78± 4.6]. In contrast, ArEEG indices in both groups were not found significantly different [24.18± 6.7 vs 25.74± 8.3].","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"67 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":"130692052","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

Personalized Computational Framework to Study Arrhythmia Mechanisms on Top of ECGI-Detected Substrate 在心电图检测底物上研究心律失常机制的个性化计算框架

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.325

M. Cluitmans, È. Lluch, H. Morales, J. Heijman, P. Volders

{"title":"Personalized Computational Framework to Study Arrhythmia Mechanisms on Top of ECGI-Detected Substrate","authors":"M. Cluitmans, È. Lluch, H. Morales, J. Heijman, P. Volders","doi":"10.22489/CinC.2018.325","DOIUrl":"https://doi.org/10.22489/CinC.2018.325","url":null,"abstract":"Electrocardiographic Imaging (ECGI) can unmask electrical abnormalities that were difficult to detect using the standard 12-lead ECG. However, it is still challenging to interpret the potential arrhythmogenic consequence of electrical patterns found with ECGI. Here, we introduce a computational framework that allows personalized simulations of cardiac electrophysiology (EP) to mimic electrical substrate as detected in an individual, to study the interaction between that substrate and premature ventricular complexes (PVCs). In patient data, electrical substrate identified using ECGI shows regions of pronounced dispersion of local recovery (i.e., recovery gradients). A computational model of ventricular EP was developed and then used to mimic the recovery gradients and PVCs found in patients. We studied a variety of gradients (6–98 ms/cm) and coupling intervals of the extra stimulus (−70 to +260 ms relative to the end of local recovery), which showed that re-entry can only occur when dispersion of recovery is large (≥76 ms/cm), and the extra stimulus occurs just after local recovery ended (~+40 ms). In conclusion, this computational framework allows to identify the specific conditions under which ECGI-detected substrates and PVCs can lead to re-entry in a personalized approach.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"20 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":"130784476","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

T-Wave Morphology Restitution in Chronic Heart Failure Patient With Atrial Fibrillation 慢性心力衰竭合并心房颤动患者的t波形态恢复

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.177

Flavio Palmieri, J. P. Martínez, L. Burattini, J. Ramírez

{"title":"T-Wave Morphology Restitution in Chronic Heart Failure Patient With Atrial Fibrillation","authors":"Flavio Palmieri, J. P. Martínez, L. Burattini, J. Ramírez","doi":"10.22489/CinC.2018.177","DOIUrl":"https://doi.org/10.22489/CinC.2018.177","url":null,"abstract":"Chronic heart failure (CHF) represents one of the major public health problems that often end in sudden cardiac death (SCD). Atrial fibrillation (AF) is associated with an increased risk of SCD but nowadays there is no non-invasive method that accurately predicts that risk. The recently developed T-wave morphology restitution (TMR) index showed its specific association with SCD risk prediction in sinus rhythm subjects with CHF. The aim of this work was to investigate the SCD predictive value of this index in individuals with AF. TMR was computed from 171 24-hour ECG Holter recordings from CHF patients enrolled in the “MUerte Súbita en Insuficiencia Cardiaca” study with AF. There were 19 SCD victims after the 4 years' follow-up. The Mann-Whitney U test showed that TMR was not significantly different in SCD victims as compared to survivors (p=0.617). However, this might be due to the huge gap in sample size between both populations. Assuming a balanced case-control scenario, the TMR value distribution may approach to a normal distribution. Under this hypothesis, the t-test was performed under the condition of unequal variances between both populations, showing a significant difference in TMR between both groups (p=0.023). In conclusion, the predictive power of TMR index in AF rhythm should not be excluded, but it needs a more in-depth study.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"177 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":"116644191","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

Classification Model of Heart Transplant Outcomes Based on Features of Left Ventricular Functional Geometry 基于左心室功能几何特征的心脏移植结果分类模型

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.028

T. Chumarnaya, S. P. Mikhaylov, E. Idov, O. Solovyova

{"title":"Classification Model of Heart Transplant Outcomes Based on Features of Left Ventricular Functional Geometry","authors":"T. Chumarnaya, S. P. Mikhaylov, E. Idov, O. Solovyova","doi":"10.22489/CinC.2018.028","DOIUrl":"https://doi.org/10.22489/CinC.2018.028","url":null,"abstract":"The function of the transplanted heart can be significantly affected by acute allograft rejection, chronic rejection, high blood pressure. These factors may induce cardiac remodelling with further adverse consequences for the patients. Dynamic change in the configuration of the left ventricle (LV) from end diastole to end systole (LV functional geometry) is an important factor of the heart pump function. The objective of this study is to evaluate the time dependent changes in parameters of LV functional geometry in the transplanted heart and to assess relations between the changes and adverse outcomes of the heart transplantation (HT). We used linear discriminant analysis (LDA) to build classification models based on either the standard echocardiographic parameters of LV systolic function and global longitudinal strain (GLS) or LV function geometry indexes. The training set for model building included data from patients with different degrees of systolic dysfunction. Using the models, we retrospectively classified data from 31 patients after orthotropic HT. In contrast to the LDA models based on the standard echocardiographic characteristics and GLS, the model based on the LV functional geometry data showed high accuracy in predicting allograft rejection and development of the heart failure in the HT patients.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"16 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":"117008565","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

Sensitivity Analysis of a Cardiorespiratory Model for the Study of Sleep Apnea 睡眠呼吸暂停研究的心肺模型敏感性分析

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.357

Gustavo Guerrero, V. Rolle, Alfredo I. Hernández

引用次数: 5

A Novel Algorithm for Full-Automatic Multipurpose ECG Delineation 一种新的全自动多用途心电描画算法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.209

A. Khawaja

引用次数: 2

Forcing Transmembrane Voltages to Decrease Slowly: A Temporal Regularization for ECG Imaging 强迫跨膜电压缓慢下降:心电图成像的时间正则化

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.324

S. Schuler, A. Loewe, O. Dössel

引用次数: 0

A Nonlinear Adaptive Level Set for Intravascular Ultrasound Images Segmentation 用于血管内超声图像分割的非线性自适应水平集

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.012

M. Eslamizadeh, N. J. Dabanloo, G. Attarodi, Javid Farhadi Sedehi, Mehrdad Mohandespoor

引用次数: 0

Heart Rate Variability Analysis During Weaning from Mechanical Ventilation: Models for Prediction of the Weaning Trial Outcome 机械通气脱机期间心率变异性分析:脱机试验结果预测模型

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI: 10.22489/CinC.2018.113

V. Krasteva, M. Matveev, I. Jekova, G. Georgiev

{"title":"Heart Rate Variability Analysis During Weaning from Mechanical Ventilation: Models for Prediction of the Weaning Trial Outcome","authors":"V. Krasteva, M. Matveev, I. Jekova, G. Georgiev","doi":"10.22489/CinC.2018.113","DOIUrl":"https://doi.org/10.22489/CinC.2018.113","url":null,"abstract":"This study estimates the activity of the autonomic cardiac control (ACC) in patients undergoing weaning from mechanical ventilation, aiming to predict the weaning outcome. ECG and AVEA ventilator data from 13 successfully and 14 unsuccessfully weaned patients were collected. Heart rate variability (HRV) profiles were estimated in non-sedated patients during 2 weaning phases: (1) PSV - pressure support ventilation at 12-25 cmH2O; (2) SBT - spontaneous breathing trial at 8 cmH2O. HRV indices in the time- and frequency-domain were analyzed on 5-min RR-interval episodes under stationary conditions during each weaning phase. Our model for prediction of the successful weaning outcome considers 3 basic mechanisms for adequate ACC response on the weaning cardio-respiratory stress: (1) preserved ACC ability to maintain physiological adaptation; (2) modulated ACC activity by the breathing model; (3) mostly neurohumoral regulation of the blood circulation. The successful group model exhibits reduced total activity (TP, SDNN) with increased sympathetic (VLF/TP, LF/HF>1) and reduced vagal tone (HF/TP, RMSSD, pNN50), the latter correlated to the respiratory rate and tidal volume. Deviations from this HRV model are indicative for weaning failure detected with accuracy 92.6% (PSV), 81.5% (SBT), 96.3% (SBT-PSV).","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"256 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":"115592304","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