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HRV regularity during persistent atrial fibrillation: A parametric assessment using sample entropy 持续性房颤期间的心率波动规律:使用样本熵的参数评估
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847561
M. Aktaruzzaman, V. Corino, L. Mainardi, S. R. Ulimoen, P. Platonov, A. Tveit, S. Enger, R. Sassi
{"title":"HRV regularity during persistent atrial fibrillation: A parametric assessment using sample entropy","authors":"M. Aktaruzzaman, V. Corino, L. Mainardi, S. R. Ulimoen, P. Platonov, A. Tveit, S. Enger, R. Sassi","doi":"10.1109/ESGCO.2014.6847561","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847561","url":null,"abstract":"In this study, we investigated the relation between sample entropy (SampEn) of HRV series and the connected theoretical value (SETH), obtained for the autoregressive (AR) models fitted to the same sequences. AR models are commonly used for parametrical spectral analysis and classical HRV spectral parameters were considered as well. The analysis was performed on a subpopulation of the Rate Control in Atrial Fibrillation (RATAF) study, where RR series were collected before and after a β-blocker, Carvedilol, was administered. SampEn, SETH and the spectral parameters were significantly different after drug administration. However while SampEn is sensible to nonlinearities or non-Gaussianity in the series, the other parameters are not. To investigate further the changes in the series induced by the drug, both synthetic series generated by the fitted AR models and IAAFT surrogates were employed. The results suggest a reduction in non-Gaussianity as long as a relatively smaller increase in regularity.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127327847","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
Time delay between RR and RT heart beat intervals in exercise test of normal subjects and elderly ischemic patients 正常人与老年缺血性患者运动试验中RR、RT心跳间期的时间延迟
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847558
C. Cammarota, M. Curione, Andrea Quaresima, M. Varrenti
{"title":"Time delay between RR and RT heart beat intervals in exercise test of normal subjects and elderly ischemic patients","authors":"C. Cammarota, M. Curione, Andrea Quaresima, M. Varrenti","doi":"10.1109/ESGCO.2014.6847558","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847558","url":null,"abstract":"The RR and RT time intervals extracted from the electrocardiogram measure respectively the duration of cardiac cycle and repolarization. The series of these intervals recorded during the exercise test are characterized by a global minimum. We model these series as a sum of a deterministic trend and random fluctuations, and estimate the trend using a multi scale wavelet decomposition. Data analysis performed on a group of 20 healthy subjects and 30 elderly ischemic patients provides evidence that the minimum of the RT series follows the minimum of the RR series, with a mean delay respectively of 67 and 28 beats.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133822840","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
Evaluation of machine learning methods for the long-term prediction of cardiac diseases 评估机器学习方法对心脏疾病的长期预测
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847567
A. Schlemmer, Henning Zwirnmann, M. Zabel, U. Parlitz, S. Luther
{"title":"Evaluation of machine learning methods for the long-term prediction of cardiac diseases","authors":"A. Schlemmer, Henning Zwirnmann, M. Zabel, U. Parlitz, S. Luther","doi":"10.1109/ESGCO.2014.6847567","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847567","url":null,"abstract":"We evaluate several machine learning algorithms in the context of long-term prediction of cardiac diseases. Results from applying K Nearest Neighbors Classifiers (KNN), Support Vector Machines (SVM) and Random Forests (RF) to data from a cardiological long-term study suggests that multivariate methods can significantly improve classification results. SVMs were found to yield the best results in Matthews Correlation Coefficient and are most stable with respect to a varying number of features.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134298053","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
Empirical mode decomposition of heart rate variability. A methodological study 心率变异性的经验模式分解。方法学研究
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847541
K. Schiecke, D. Piper, S. Buerger, L. Leistritz, M. Feucht, H. Witte
{"title":"Empirical mode decomposition of heart rate variability. A methodological study","authors":"K. Schiecke, D. Piper, S. Buerger, L. Leistritz, M. Feucht, H. Witte","doi":"10.1109/ESGCO.2014.6847541","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847541","url":null,"abstract":"Aim of this study is to investigate advantages and disadvantages of empirical mode decomposition (EMD) approaches for the investigation of heart rate variability (HRV). Signal-adaptive approaches like EMD can be used to separate components of HRV which are associated with cardiovascular regulatory mechanisms. Two EMD approaches, standard EMD and complete empirical mode decomposition (CEMD) are used to decompose the HRV of children during temporal lobe epilepsy (TLE; 10 min recordings of 18 children). As nonlinear properties are preserved by EMD, analysis of nonlinear predictability of HRV components is applied resulting in a nonlinear, time-variant, frequency-selective examination of HRV. Especially mode mixing problems are investigated. Complementary analysis steps are suggested to detect their occurrence. CEMD is able to better separate defined HRV components and to reduce, but not completely solve, mode mixing. Nonlinear analysis of CEMD based HRV components results in more distinct differences between specific seizure-related states.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214203","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
ECG baseline wander removal by QVR preserving the ST segment QVR去除心电图基线漂移，保留ST段
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847547
A. Fasano, V. Villani
{"title":"ECG baseline wander removal by QVR preserving the ST segment","authors":"A. Fasano, V. Villani","doi":"10.1109/ESGCO.2014.6847547","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847547","url":null,"abstract":"Baseline wander removal is an unavoidable step in ECG signal processing. The in-band nature of this noise makes its removal difficult without affecting the ECG, in particular the ST segment. This portion of the ECG has high clinical relevance, as it is related to the diagnosis of acute coronary syndromes. We have recently proposed a novel approach to baseline wander removal based on the notion of quadratic variation reduction. In this paper, we assess its performance in terms of both effectiveness in removing baseline wander and distortion introduced in the ST segment. Numerical results highlight the effectiveness of the approach, which outperforms state-of-the-art algorithms both in removing baseline drift and preserving the ST segment. The algorithm is also very fast, as its computational complexity is linear in the size of the vector to detrend.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314520","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
Heart rate dynamics predict 2-year mortality risk in ambulatory patients undergoing Holter monitoring 心率动态预测接受动态心电图监测的非住院患者2年死亡风险
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847533
L. Carozzi, M. Carrara, Travis J Moss, S. Cerutti, M. Ferrario, D. Lake, J. Moorman
{"title":"Heart rate dynamics predict 2-year mortality risk in ambulatory patients undergoing Holter monitoring","authors":"L. Carozzi, M. Carrara, Travis J Moss, S. Cerutti, M. Ferrario, D. Lake, J. Moorman","doi":"10.1109/ESGCO.2014.6847533","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847533","url":null,"abstract":"Heart rhythm abnormalities such as atrial fibrillation (AF), atrial or ventricular ectopy and reduced heart rate variability (HRV) are associated with an increased risk of mortality. These altered dynamical properties might be useful in estimating the risk of death. In this work, a mortality risk stratification analysis was performed on the University of Virginia (UVa) Holter database using 2 entropy-based dynamical measures, Coefficient of Sample entropy (COSEn) and Local Dynamic Score (LDs).","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133376540","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: 1
Heart rate variability and stroke volume variability to detect central hypovolemia in spontaneously breathing, young, healthy volunteers 在自主呼吸的年轻健康志愿者中检测中枢性低血容量的心率变异性和卒中容量变异性
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847545
M. Elstad, L. Walløe
{"title":"Heart rate variability and stroke volume variability to detect central hypovolemia in spontaneously breathing, young, healthy volunteers","authors":"M. Elstad, L. Walløe","doi":"10.1109/ESGCO.2014.6847545","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847545","url":null,"abstract":"Variability in cardiac stroke volume (SVV) is used in clinical practice for diagnosis of hypovolemia, but currently limited to patients on mechanical ventilation. We investigated if SVV and heart rate variability (HRV) could detect central hypovolemia in spontaneously breathing humans. Ten subjects underwent simulated central hypovolemia by lower body negative pressure (LBNP). Heart rate, respiratory frequency and mean arterial blood pressure were measured. Stroke volume (SV) was estimated by ModelFlow (Finometer). Respiratory SVV was calculated by: 1) SVV%=(SVmax-SVmin)/SVmean during one respiratory cycle, 2) SVIntegral from the power spectra (Fourier transform) at 0.15-0.4 Hz and 3) SVV_norm=√(SVIntegral/SVmean). HRV was calculated by the same methods. SVV and HRV were reduced by all three methods during LBNP compared to during baseline. HRV% ≤ 11% and SVIntegral ≤ 12 ml2 were best to detect central hypovolemia. We conclude preliminarily that HRV% and SVIntegral detect central hypovolemia and are good candidates for further clinical testing.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114981335","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
Reliability and reproducibility of advanced ECG parameters in month-to-month and year-to-year recordings in healthy subjects 健康受试者每月和每年记录的心电图参数的可靠性和可重复性
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847516
V. Starc, Ahmed S. Abughazaleh, T. Schlegel
{"title":"Reliability and reproducibility of advanced ECG parameters in month-to-month and year-to-year recordings in healthy subjects","authors":"V. Starc, Ahmed S. Abughazaleh, T. Schlegel","doi":"10.1109/ESGCO.2014.6847516","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847516","url":null,"abstract":"Advanced resting ECG parameters such the mean vector angle between the QRS complex and T wave (spatial QRS-T angle), and the QT interval variability index (QTVI) have important diagnostic and prognostic utility, but their reliability and reproducibility (R&R) are not well characterized. We hypothesized that the spatial QRS-T angle would have relatively higher R&R than parameters such as QTVI that are more responsive to transient changes in the autonomic nervous system. The R&R of several conventional and advanced ECG parameters were studied via intraclass correlation coefficients (ICCs) and coefficients of variation (CVs) in: (1) 15 supine healthy subjects from month-to-month; (2) 27 supine healthy subjects from year-to-year; and (3) 25 subjects after transition from the supine to the seated posture. As hypothesized, ICC for the spatial mean QRS-T angle was higher than QTVI (0.95 vs. 0.61), and CV lower (3.8 vs. 8.1%, respectively), suggesting that the former parameter is more reliable and reproducible.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115866467","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
Assessing instantaneous QT variability dynamics within a point-process nonlinear framework 在点过程非线性框架内评估瞬时QT变异性动态
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847522
G. Valenza, M. Orini, L. Citi, A. Mincholé, Emilio L. Pueyo, P. Laguna, R. Barbieri
{"title":"Assessing instantaneous QT variability dynamics within a point-process nonlinear framework","authors":"G. Valenza, M. Orini, L. Citi, A. Mincholé, Emilio L. Pueyo, P. Laguna, R. Barbieri","doi":"10.1109/ESGCO.2014.6847522","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847522","url":null,"abstract":"The importance of cardiac repolarization dynamics in promoting arrhythmic events is widely recognized. To this extent, mathematical modeling and signal processing have played an important role in providing effective measures related to cardiac and autonomic nervous system dynamics. In this study, we introduce an instantaneous assessment of QT variability indices using a point-process nonlinear framework. The analysis includes computation of the dynamical spectrum and bispectrum, as well as time domain features, from data gathered from healthy subjects undergoing a tilt test trial. We demonstrate that an inverse-Gaussian probability function effectively predicts the current QT interval given a nonlinear combination of the past QT intervals modeled through the Laguerre expansion of the Wiener-Volterra terms. Results also show that our approach is able to provide an accurate instantaneous characterization of ventricular repolarization dynamics during changes with posture.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122901204","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
A computer application for the investigation of cardiac autonomic effects of sleep-disordered breathing in heart failure patients 心衰患者睡眠呼吸障碍对心脏自主神经影响的计算机研究
2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) Pub Date : 2014-05-25 DOI: 10.1109/ESGCO.2014.6847603
R. Maestri, G. Pinna
{"title":"A computer application for the investigation of cardiac autonomic effects of sleep-disordered breathing in heart failure patients","authors":"R. Maestri, G. Pinna","doi":"10.1109/ESGCO.2014.6847603","DOIUrl":"https://doi.org/10.1109/ESGCO.2014.6847603","url":null,"abstract":"Sleep-disordered breathing (SDB) in the form of periodic breathing is common in heart failure patients and is thought to increase sympathetic activity. Since heart rate (HR) cyclically increases during SDB in synchrony with the oscillation in ventilation, these increases have been interpreted as indirect evidence of an augmented adrenergic activity brought about by SDB. To support this hypothesis, however, the distribution of HR fluctuations during SDB has to be compared with the distribution of spontaneous HR variation during normal breathing within the same night. The aim of this work was to develop a computer application to carry out this task efficiently, analyzing HR across different sleep stages, breathing conditions and abnormal breathing type (obstructive and central). The system automatically selects homogeneous segments of HR from standard polysomnographic recordings and computes a set of relevant distribution descriptors of HR. A pilot testing of the system has been performed in five stable heart failure patients.","PeriodicalId":385389,"journal":{"name":"2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195057","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
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