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}
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}
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}
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}
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}
{"title":"Sensitivity Analysis of a Cardiorespiratory Model for the Study of Sleep Apnea","authors":"Gustavo Guerrero, V. Rolle, Alfredo I. Hernández","doi":"10.22489/CinC.2018.357","DOIUrl":"https://doi.org/10.22489/CinC.2018.357","url":null,"abstract":"A novel integrated model of cardio-respiratory interactions is presented in this paper with the objective of understanding the acute physiological response due to events of sleep apneas and hypopneas in adults. A formal sensitivity analysis is proposed, focused on the chemoreflex and metabolism gas exchange components of this model, during the simulation of a 20-seconds obstructive apnea episode. During apnea, the most influent parameters were those related to metabolic rates. After the apnea, the most relevant parameters were the one related with the the amplitude gains of the central and peripheral chemoreflex. A first qualitative comparison has shown a close behaviour between experimental and simulated cardiorespiratory responses to apnea. These results highlight the influent components of chemoreflex control and the metabolic rates and provides key information towards the definition of patient-specific parameters.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"80 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":"128155775","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}
{"title":"A Novel Algorithm for Full-Automatic Multipurpose ECG Delineation","authors":"A. Khawaja","doi":"10.22489/CinC.2018.209","DOIUrl":"https://doi.org/10.22489/CinC.2018.209","url":null,"abstract":"Obtaining high accurate wave segmentation or delineation on ECG signals is extremely essential for automatic, semiautomatic and manual ECG interpretation and diagnostics. In this works, a new high accurate and efficient method of detection and delineation of QRS complexes, P waves and T waves in single-channel and multi-channel ECG signals including the standard 12-1ead ECG is presented.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"46 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":"127726320","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}
{"title":"Forcing Transmembrane Voltages to Decrease Slowly: A Temporal Regularization for ECG Imaging","authors":"S. Schuler, A. Loewe, O. Dössel","doi":"10.22489/CinC.2018.324","DOIUrl":"https://doi.org/10.22489/CinC.2018.324","url":null,"abstract":"ECG imaging aims to reconstruct the cardiac electrical activity from non-invasive measurements of body surface potentials (BSP) by finding unique and physiologically meaningful solutions to the inverse problem of electrocardiography. This can be accomplished using regularization, which reduces the space of admissible solutions by demanding solution properties that are already known beforehand. Messnarz et. al. proposed a regularization scheme that requires transmembrane voltages (TMV) to not decrease over time. We suggest a generalization of this method that forces TMVs to decrease only slowly and as a result can also be applied to irregular cardiac activity. We first develop the method using a simplified spherical geometry and then show its benefit for imaging fibrillatory activity on a realistic geometry of the atria.","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":"128739648","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}
M. Eslamizadeh, N. J. Dabanloo, G. Attarodi, Javid Farhadi Sedehi, Mehrdad Mohandespoor
{"title":"A Nonlinear Adaptive Level Set for Intravascular Ultrasound Images Segmentation","authors":"M. Eslamizadeh, N. J. Dabanloo, G. Attarodi, Javid Farhadi Sedehi, Mehrdad Mohandespoor","doi":"10.22489/CinC.2018.012","DOIUrl":"https://doi.org/10.22489/CinC.2018.012","url":null,"abstract":"In this paper, a level set method (LSM) with the aim of segmenting lumen and non-lumen pixels and Hidden Markov Random Field (HMRF) with the purpose of computing boundaries of lumen are proposed. This proposed methods was evaluated on IVUS images of 7 patients and also our results have shown that using LSM-HMRF methods leads to increasing accuracy up to 85%. Results also showed that combination of LSM-HMRF could successfully identify the lumen boundary. The main advantage of this method is that one pattern using LSM from all of IVUS images is obtained. The simulation results depicted the effectiveness or the proposed method.","PeriodicalId":215521,"journal":{"name":"2018 Computing in Cardiology Conference (CinC)","volume":"2 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":"117065149","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}
{"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}