E. Alvarez-Lacalle, J. F. Rodriguez, B. Echebarria
{"title":"Oscillatory regime in excitatory media with global coupling: Application to cardiac dynamics","authors":"E. Alvarez-Lacalle, J. F. Rodriguez, B. Echebarria","doi":"10.1109/CIC.2008.4749009","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749009","url":null,"abstract":"The goal of this paper is to describe the effects of simple electro-mechanical coupling in isotropic two-dimensional (2D) cardiac tissue. To this aim, we show that the Nash-Panfilov two variable model [PRL 95, 258104 (2005)] for electrical activation, which couples active stress directly to transmembrane potential, can be reduced in the linearly elastic regime to an excitatory system with global coupling. In the linear limit, numerical simulations of both models give the same dynamic evolution, including the appearance of an ectopic focus with origin at the center. Indeed, after an initial excitation, mechano-electrical coupling can generate sustained oscillations in the form of successive waves originated at the center. These oscillations have a large basin of attraction for different sample lengths and values of the stretching current, specially when the recovery time of the excitatory cells is short. We finally present and discuss the appearance of oscillatory waves whose origin is not the center of the 2D sample but a ring of tissue around it. These waves appear spontaneously under some conditions even when the first excitation is generated at the center.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"101 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477731","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. Reumann, B. Fitch, A. Rayshubskiy, D. Weiß, G. Seemann, O. Doessel, M. Pitman, J. Rice
{"title":"Error estimates and communication overhead in the computation of the bidomain equations on the distributed memory parallel Blue Gene/L supercomputer","authors":"M. Reumann, B. Fitch, A. Rayshubskiy, D. Weiß, G. Seemann, O. Doessel, M. Pitman, J. Rice","doi":"10.1109/CIC.2008.4748982","DOIUrl":"https://doi.org/10.1109/CIC.2008.4748982","url":null,"abstract":"Increasing biophysical detail in multi physical, multiscale cardiac model will demand higher levels of parallelism in multi-core approaches to obtain fast simulation times. As an example of such a highly parallel multi-core approaches, we develop a completely distributed bidomain cardiac model implemented on the IBM Blue Gene/L architecture. A tissue block of size 50 times 50 times 100 cubic elements based on ten Tusscher et al. (2004) cell model is distributed on 512 computational nodes. The extracellular potential is calculated by the Gauss-Seidel (GS) iterative method that typically requires high levels of inter-processor communication. Specifically, the GS method requires knowledge of all cellular potentials at each of its iterative step. In the absence of shared memory, the values are communicated with substantial overhead. We attempted to reduce communication overhead by computing the extracellular potential only every 5th time step for the integration of the cell models. We also investigated the effects of reducing inter-processor communication to every 5th, 10th, 50th iteration or no communication within the GS iteration. While technically incorrect, these approximation had little impact on numerical convergence or accuracy for the simulations tested. The results suggest some heuristic approaches may further reduce the inter-processor communication to improve the execution time of large-scale simulations.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125805296","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}
Ó. Barquero-Pérez, J. D. de Sá, J. Rojo-Alvarez, R. Goya-Esteban
{"title":"Changes in Detrended Fluctuation indices with aging in healthy and Congestive Heart Failure subjects","authors":"Ó. Barquero-Pérez, J. D. de Sá, J. Rojo-Alvarez, R. Goya-Esteban","doi":"10.1109/CIC.2008.4748973","DOIUrl":"https://doi.org/10.1109/CIC.2008.4748973","url":null,"abstract":"Detrended Fluctuation Analysis (DFA) aims to quantify the fractal correlation properties in nonstationary time series, and it has successfully been applied in the assessment of the Heart Rate Variability (HRV) for cardiac risk stratification purposes. However the physiological meaning of DFA indices and its relation with aging have not yet been completely established. Given that a loss of complexity in the physiological regulation of elderly subjects has been reported in the literature, we hypothesized that DFA indices could be modified by aging. In this work we computed the Hurst exponent (estimated using DFA method) and DFA indices alpha1 and alpha2 to assess the HRV in healthy and Congestive Heart Failure (CHF) subjects, and we studied the dependence of these indices on aging for both healthy and CHF subjects. We found that only alpha2 and Hurst exponent, and only in the case of healthy subjects, have significant discrimination capability to distinguish between young and elderly groups, and also that these indices have a steady increase with aging. Therefore, we can conclude that the loss of complexity due to aging can be quantified by changes in the values of alpha2 and Hurst exponent.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128260887","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":"Spatio-temporal motion estimation for disease discrimination in cardiac echo videos","authors":"F. Wang, T. Syeda-Mahmood, D. Beymer","doi":"10.1109/CIC.2008.4748992","DOIUrl":"https://doi.org/10.1109/CIC.2008.4748992","url":null,"abstract":"In this paper we present a method of simultaneous registration of an entire sequence of frames of an echocardiographic sequence. In our approach, each echo frame is modeled using a probability density function, and registration problem between all pairs of echo frames is formulated as the problem of matching probability densities. An information-theoretic criterion called the Jensen-Renyi divergence is used to measure the distance between the probability density functions. The Renyipsilas Quadratic entropy results in a closed- form solution for the registration problem. Once the echo frames are registered, temporal trajectories of corresponding feature points in successive frames can be used to derive average velocity curves which have been shown to be useful for disease discrimination. To evaluate our technique for echo motion estimation for disease discrimination, we tested on a data set including cardiac echo from 21 patients of varying diseases. The data set includes a total of 72 complete cardiac cycles and contains 1612 frames. We compare our approach against two competing motion detection techniques, optical flow and Demons algorithm, on the same data set, and our motion detector performs best in terms of the separation between different diseases.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128724959","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":"Automatic distinguishing between ischemic and heart-rate related transient ST segment episodes in ambulatory ECG records","authors":"J. Faganeli, F. Jager","doi":"10.1109/CIC.2008.4749058","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749058","url":null,"abstract":"In ambulatory ECG records, ischemia is manifested by transient ST segment episodes which may or may not be accompanied by increase in heart rate. There are also transient heart-rate related non-ischemic ST segment episodes present which are caused by change in heart rate. The goal of this work was to classify between these two types of ST episodes. The selected features to classify the ST episodes were changes of heart rate, changes of time domain morphologic parameters of the ST segment and changes of the Legendre orthonormal polynomial coefficients of the ST segment, all obtained on 20-second intervals at the beginning and at the extrema of each ST episode. The obtained sensitivity in classifying ischemic versus heart-rate related ST episodes using the LTST DB was 77.9%, while specificity was 73.9%.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371901","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}
V. Magagnin, E. Caiani, L. Fusini, M. Turiel, S. Cerutti, A. Porta
{"title":"Autonomic response evaluation during gradual body weight support: Comparison between spectral and symbolic analysis","authors":"V. Magagnin, E. Caiani, L. Fusini, M. Turiel, S. Cerutti, A. Porta","doi":"10.1109/CIC.2008.4749013","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749013","url":null,"abstract":"The robot-driven walking therapies with body weight support (BWS) are recently gaining appreciation as they can improve gait recovery in stroke survivors. However, BWS could evoke a response of the autonomic nervous system (ANS) that could be dangerous in patients with cardiovascular regulation deficit. The aim of this study is to evaluate the ANS response during BWS phases through spectral and symbolic analyses of short-term heart rate variability. This evaluation could help to tailor robot-driven walking strategies preventing discomfort and improving rehabilitation. A group of 10 normal subjects was studied during several BWS phases. Results from spectral and symbolic analyses indicated a gradual sympathetic activation together with a parasympathetic inhibition with increasing percentages of BWS. However, since changes appear mainly as trends, our findings suggest that the progressive increase of the BWS generates a light sympathetic stimulation.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127024412","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}
R. El Berbari, N. Kachenoura, Redheuil, A. Herment, I. Bloch, É. Mousseaux, F. Frouin
{"title":"An automated evaluation of regional left ventricular function on cine magnetic resonance images","authors":"R. El Berbari, N. Kachenoura, Redheuil, A. Herment, I. Bloch, É. Mousseaux, F. Frouin","doi":"10.1109/CIC.2008.4749157","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749157","url":null,"abstract":"Routine evaluation of the regional ventricular function in cardiac magnetic resonance (CMR) remains mostly based on visual analysis of cine loops and subsequent interobserver variability remains a potential drawback for diagnosis and follow-up of coronary artery disease (CAD). In this paper we propose a method that ensures automated assessment of normalized mean contraction times and radial endocardial velocities from MR cine images, by combining a parametric imaging analysis to an automatic segmentation method of the left ventricle. Short-axis cine loops were obtained in 20 subjects (10 myocardial infarction (MI) and 10 control). Reference segmental wall motion was scored by an expert according to 4 classes (normokinesia, hypokinesia, akinesia and dyskinesia). Results showed increased values for normalized mean contraction times and decreased values for the radial velocity in segments with wall motion abnormalities (WMA) compared to segments with normal function. These functional parameters could help to detect regional WMA.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"116 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483632","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}
R. Swoboda, C. Steinwender, F. Leisch, J. Scharinger
{"title":"Towards 3-D LV shape recovery in biplane X-ray angiography using statistical shape models","authors":"R. Swoboda, C. Steinwender, F. Leisch, J. Scharinger","doi":"10.1109/CIC.2008.4749141","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749141","url":null,"abstract":"Coronary X-ray angiography has proven to be an efficient method for treatment and diagnosis of cardiovascular diseases. In clinical practice, quantitative LV analysis is done in 2-D and based on contour data since 3-D information is not available due to projection. In this work, a novel approach for recovering the 3-D LV shape from bi-planar X-ray images is presented. The sparse and noisy data available for reconstruction necessitates the incorporation of geometric prior information. A statistical shape model of the ventricular anatomy is learned from high-resolution multi-slice CT data. Reconstruction is based on a non-rigid 2-D/3-D registration technique. To fit the shape model to the X-ray images of the patient, simulated projections of the model are calculated. An optimization procedure minimizes the difference between simulated and real projection images. The presented method is evaluated using simulated data.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283690","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}
E. Vansteenkiste, R. Houben, A. Pižurica, Wilfried Philips
{"title":"Classifying electrocardiogram peaks using newwavelet domain features","authors":"E. Vansteenkiste, R. Houben, A. Pižurica, Wilfried Philips","doi":"10.1109/CIC.2008.4749176","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749176","url":null,"abstract":"We study distinctive properties of normal and malfunction electrocardiogram (ECG) peaks in the wavelet domain and based on this study we propose novel classification features for ECG signals. We analyze different combinations of the proposed wavelet domain and time domain features using multidimensional clustering and dimensionality reduction techniques. The results indicate encouraging accuracy rates.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123410659","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}
G. Hindricks, M. Táborský, P. Wohlgemuth, G. Rieger, F. Beckers, B. Albers
{"title":"Atrial Fibrillation detection by a subcutaneous monitoring device","authors":"G. Hindricks, M. Táborský, P. Wohlgemuth, G. Rieger, F. Beckers, B. Albers","doi":"10.1109/CIC.2008.4749066","DOIUrl":"https://doi.org/10.1109/CIC.2008.4749066","url":null,"abstract":"The Reveal XT subcutaneous insertable cardiac monitor detects Atrial Fibrillation (AF) from the irregularity of the ventricular rhythm. This study is a first assessment of the AF detection performance using subcutaneous signals from implanted devices. Patients implanted with a Reveal XT device were monitored by a dedicated Holter system, recording the surface ECG and uplinked device data. Device detections of AF were reconstructed from the uplinked data and classified as either true positive, false positive and false negative using the surface ECG for reference. In a total of 82 Holter recordings from 60 patients, the mean AF episode detection sensitivity was 90.6% and 98.1% for AF episodes ges2 minutes and ges4 minutes, respectively. The mean episode PPV was 55.1%. False positive detections were clustered within a few patients with irregular rhythms that were not annotated as AF.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121538311","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}