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Comparison of three T-Wave Delineation Algorithms based on Wavelet Filterbank, Correlation and PCA. 基于小波滤波器库、相关性和 PCA 的三种 T 波划分算法比较。
Computing in cardiology Pub Date : 2010-09-26
T Baas, F Gravenhorst, R Fischer, A Khawaja, O Dössel
{"title":"Comparison of three T-Wave Delineation Algorithms based on Wavelet Filterbank, Correlation and PCA.","authors":"T Baas, F Gravenhorst, R Fischer, A Khawaja, O Dössel","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>There is a large interest in analysing the QT-interval, as a prolonged QT-interval can cause the development of ventricular tachyarrhythmias such as Torsade de Pointes. One major part of QT-analysis is T-end detection. Three automatic T-end delineation methods based on wavelet filterbanks (WAM), correlation (CORM) and Principal Component Analysis PCA (PCAM) have been developed and applied to Physionet QT database.All algorithms tested on Physionet QT database showed good results, while PCAM produced better results than WAM and CORM achieved best results. Standard deviation in sampling points (f(s)=250Hz) have been 33.3 (WAM), 8.0 (PTDM) and 7.8 (CORM). It could be shown that WAM is prone to interference while CORM is the most stable method even under bad conditions. Furthermore it was possible to detect significant QT-prolongation caused by Moxifloxacin in Thorough QT Study # 2 using CORM. QT-prolongation is significantly correlated to blood plasma concentration of Moxifloxacin.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"264-364"},"PeriodicalIF":0.0,"publicationDate":"2010-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3135982/pdf/nihms302679.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30241853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Static and Dynamic Electrocardiographic Patterns Preceding Torsades de Pointes in the Acquired and Congenital Long QT Syndrome. 获得性和先天性长QT综合征的点扭转前的静态和动态心电图模式。
Computing in cardiology Pub Date : 2010-09-26
Jp Couderc, J Xia, X Xu, S Kaab, M Hinteeser, W Zareba
{"title":"Static and Dynamic Electrocardiographic Patterns Preceding Torsades de Pointes in the Acquired and Congenital Long QT Syndrome.","authors":"Jp Couderc,&nbsp;J Xia,&nbsp;X Xu,&nbsp;S Kaab,&nbsp;M Hinteeser,&nbsp;W Zareba","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The arrhythmogenic mechanisms involved in the triggering of the polymorphic ventricular tachycardia called torsades de pointes (TdPs) remains to be elucidated. In this work, we investigated the static and dynamic profiles of the repolarization interval from the surface electrocardiogram recorded in healthy individuals and in cardiac patients with TdPs. We implemented this analysis just prior to the arrhythmia onset and we computed the delta values based on baseline periods (1 hour prior to event). We measured QT/QTc prolongation, QT variability, ventricular ectopic beats (VPBs) frequency, T-wave amplitude, T-peak to T-end interval, and T-wave complexcity. The analysis of these parameters in reference to baseline revealed 1) an increased QTc variability, 2) the presence of VPCs, and 3) the profound changes in T-loop morphology in patients developing TdPs.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"357-360"},"PeriodicalIF":0.0,"publicationDate":"2010-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124352/pdf/nihms-302681.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30241653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Comparison of IIR and Wavelet Filtering for Noise Reduction of the ECG. IIR与小波滤波在心电降噪中的比较。
Computing in cardiology Pub Date : 2010-09-26
Js Sørensen, L Johannesen, Usl Grove, K Lundhus, J-P Couderc, C Graff
{"title":"A Comparison of IIR and Wavelet Filtering for Noise Reduction of the ECG.","authors":"Js Sørensen,&nbsp;L Johannesen,&nbsp;Usl Grove,&nbsp;K Lundhus,&nbsp;J-P Couderc,&nbsp;C Graff","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study compares the ability to preserve information and reduce noise contaminants on the ECG for five wavelet filters and three IIR filters. Two 3-lead Holter ECGs were used. White Gaussian Noise was added to the first ECG in increments of 10% coverage. The second ECG contained alternating muscle transients and noise-free segments. Computation times and SNR improvements for different noise coverages were calculated and compared. RMS errors were calculated from noise-free segments on the ECG with transient muscle noise. Wavelet filters improved SNR more than IIR filters when the signal coverage was more than 50% noise. In contrast, the computation times were shorter for IIR filters (6 s) than for wavelet filters (88 s). On the ECG with transient muscle noise there was a trade-off in performance between wavelet and IIR filtering. In a clinical setting where the amount of noise is unknown, using IIR filters appears to be preferred for consistent performance.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"489-492"},"PeriodicalIF":0.0,"publicationDate":"2010-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134259/pdf/nihms302673.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30239955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The PhysioNet/Computing in Cardiology Challenge 2010: Mind the Gap. 物理网络/计算在心脏病学挑战2010:注意差距。
Computing in cardiology Pub Date : 2010-09-01
George B Moody
{"title":"The PhysioNet/Computing in Cardiology Challenge 2010: Mind the Gap.","authors":"George B Moody","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Participants in the 11th annual PhysioNet/CinC Challenge were asked to reconstruct, using any combination of available prior and concurrent information, 30-second segments of ECG, continuous blood pressure waveforms, respiration, and other signals that had been removed from recordings of patients in intensive care units.Fifteen of the 53 participants provided reconstructions for the entire test set of 100 ten-minute recordings. The mean correlation between the segments that had been removed (the \"target signals\") and the reconstructions produced using the two most successful methods is 0.9, and the sum of the squared residual errors in these reconstructions is less than 20% of the energy of the target signals.Sources for the most successful methods developed for this challenge have been made available by their authors to support research on robust estimation of parameters derived from unreliable signals, detection of changes in patient state, and recognition of signal corruption.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"305-309"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136865/pdf/nihms299861.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30012573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of T-wave Amplitude Adaptation to Heart Rate Using RR-binning of Long-Term ECG Recordings. 利用长期心电图记录的RR-binning分析t波振幅对心率的适应。
Computing in cardiology Pub Date : 2010-01-01
L Johannesen, Usl Grove, Js Sørensen, M Schmidt, C Graff, J-P Couderc
{"title":"Analysis of T-wave Amplitude Adaptation to Heart Rate Using RR-binning of Long-Term ECG Recordings.","authors":"L Johannesen,&nbsp;Usl Grove,&nbsp;Js Sørensen,&nbsp;M Schmidt,&nbsp;C Graff,&nbsp;J-P Couderc","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The prognosis of patients with coronary artery disease at the early stage of the disease is a challenge of modern cardiology. There is an urgent need to risk stratify these patients. Holter technology is a cheap and cost effective tool to evaluate electrical abnormalities in the heart. We propose to investigate T-amplitude adaptation to heart rate (HR) using RR-binning. We used daytime recordings from healthy subjects and subjects with acute myocardial infarction (AMI) from the Telemetric and Holter ECG Warehouse. The AMI subjects were divided into two groups based on location of their infarction (group A: anterior or anterior lateral, group B: inferior or inferior lateral). Both AMI groups had acute and stable phase recordings. Population-based T-adaptation to HR was observed for healthy subjects (R2 = 0.92) but was less pronounced for AMI subjects: [Formula: see text].</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"369-372"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128376/pdf/nihms302674.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30095891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Wavelet-Based Algorithm for Delineation and Classification of Wave Patterns in Continuous Holter ECG Recordings. 一种基于小波的连续动态心电记录波形描述与分类算法。
Computing in cardiology Pub Date : 2010-01-01
L Johannesen, Usl Grove, Js Sørensen, Ml Schmidt, J-P Couderc, C Graff
{"title":"A Wavelet-Based Algorithm for Delineation and Classification of Wave Patterns in Continuous Holter ECG Recordings.","authors":"L Johannesen,&nbsp;Usl Grove,&nbsp;Js Sørensen,&nbsp;Ml Schmidt,&nbsp;J-P Couderc,&nbsp;C Graff","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Quantitative analysis of the electrocardiogram (ECG) requires delineation and classification of the individual ECG wave patterns. We propose a wavelet-based waveform classifier that uses the fiducial points identified by a delineation algorithm. For validation of the algorithm, manually annotated ECG records from the QT database (Physionet) were used. ECG waveform classification accuracies were: 85.6% (P-wave), 89.7% (QRS complex), 92.8% (T-wave) and 76.9% (U-wave). The proposed classification method shows that it is possible to classify waveforms based on the points obtained during delineation. This approach can be used to automatically classify wave patterns in long-term ECG recordings such as 24-hour Holter recordings.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 5738139","pages":"979-982"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139228/pdf/nihms302606.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30023013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PhysioNet 2010 Challenge: A Robust Multi-Channel Adaptive Filtering Approach to the Estimation of Physiological Recordings. PhysioNet 2010挑战:一种鲁棒的多通道自适应滤波方法来估计生理记录。
Computing in cardiology Pub Date : 2010-01-01
Ikaro Silva
{"title":"PhysioNet 2010 Challenge: A Robust Multi-Channel Adaptive Filtering Approach to the Estimation of Physiological Recordings.","authors":"Ikaro Silva","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The 2010 PhysioNet Challenge was to predict the last few seconds of a physiological waveform given its previous history and M-1 different concurrent physiological recordings. A robust approach was implemented by using a bank of adaptive filters to predict the desired channel. In all, M channels (the M-1 original signals, and 1 signal derived from the previous history of the target signal) were used to estimate the missing data. For each channel, a Gradient Adaptive Lattice Laguerre filter (GALL) was trained to estimate the desired channel. The GALL filter was chosen because of its fast convergence, stability, and ability to model a long response using relatively few parameters. The prediction of each of the channels (the output of each of the GALL filters) was then linearly combined using time-varying weights determined through a Kalman filter. This approach is extensible to recordings with any number of signals, other types of signals, and other problem domains. The code for the algorithm is freely available at PhysioNet under the GPL.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"313-316"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375904/pdf/nihms382140.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30698570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analyzing Thorough QT Study 1 & 2 in the Telemetric and Holter ECG Warehouse (THEW) using Hannover ECG System HES : A validation study. 汉诺威心电图系统HES在遥测和动态心电图仓库(THEW)中分析全面QT间期研究1和2:一项验证性研究。
Computing in cardiology Pub Date : 2010-01-01
A Khawaja, R Petrovic, A Safer, T Baas, O Dössel, R Fischer
{"title":"Analyzing Thorough QT Study 1 & 2 in the Telemetric and Holter ECG Warehouse (THEW) using Hannover ECG System HES : A validation study.","authors":"A Khawaja,&nbsp;R Petrovic,&nbsp;A Safer,&nbsp;T Baas,&nbsp;O Dössel,&nbsp;R Fischer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Following the ICH E14 clinical evaluation guideline [1], the measurement of QT/QTc interval prolongation has become the standard surrogate biomarker for cardiac drug safety assessment and the faith of a drug development. In Thorough QT (TQT) study, a so-called positive control is employed to assess the ability of this study to detect the endpoint of interest, i.e. the QT prolongation by about five milliseconds. In other words the lower bound of the one-sided 95% confidence interval (CI) must be above 0 [ms]. Fully automated detection of ECG fiducial points and measurement of the corresponding intervals including QT intervals and RR intervals vary between different computerized algorithms. In this work we demonstrate the ability and reliability of Hannover ECG System (HES(®)) to assess drug effects by detecting QT/QTc prolongation effects that meet the threshold of regulatory concern as mentioned by using THEW database studies namely TQT studies one and two.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"349-352"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138519/pdf/nihms302691.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30024044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hypotension as a Risk Factor for Acute Kidney Injury in ICU Patients. 低血压是ICU患者急性肾损伤的危险因素。
Computing in cardiology Pub Date : 2010-01-01
Li-Wei Lehman, Mohammed Saeed, George Moody, Roger Mark
{"title":"Hypotension as a Risk Factor for Acute Kidney Injury in ICU Patients.","authors":"Li-Wei Lehman,&nbsp;Mohammed Saeed,&nbsp;George Moody,&nbsp;Roger Mark","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In the context of critical illness, hypotension may be associated with acute kidney injury (AKI). Using the MIMIC II database, we studied the risk of AKI in ICU patients as a function of both the severity and duration of hypotension. Multivariate logistical regression was performed to find correlations between hypotension and AKI. Minimum mean arterial blood pressure (MAP) and the amount of time MAP was below a range of hypotension thresholds in a target 48-hour window (prior to AKI onset) were used as primary predictive variables in the multivariate model. Our results indicate that the risk of AKI was related to the severity of hypotension with an odds ratio (OR) of 1.03, 95% CI 1.02-1.04 (p < 0.0001) per 1 mmHg decrease in minimum MAP ≥ 80 mmHg. For each additional hour MAP was less than 70, 60, 50 mmHg, the risk of AKI increased by 2% (OR 1.02, 95% CI 1.00-1.03, p = 0.0034), 5% (OR 1.05, 95% CI 1.02-1.08, p = 0.0028), and 22% (OR 1.22, 95% CI 1.04-1.43, p = 0.0122) respectively.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 ","pages":"1095-1098"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3120106/pdf/nihms299858.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30316959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Heart Rate Variability and Respiratory Sinus Arrhythmia Assessment of Affective States by Bivariate Autoregressive Spectral Analysis. 用双变量自回归谱分析评价心率变异性和呼吸窦性心律失常的情感状态。
Computing in cardiology Pub Date : 2010-01-01
V Magagnin, M Mauri, P Cipresso, L Mainardi, En Brown, S Cerutti, M Villamira, R Barbieri
{"title":"Heart Rate Variability and Respiratory Sinus Arrhythmia Assessment of Affective States by Bivariate Autoregressive Spectral Analysis.","authors":"V Magagnin,&nbsp;M Mauri,&nbsp;P Cipresso,&nbsp;L Mainardi,&nbsp;En Brown,&nbsp;S Cerutti,&nbsp;M Villamira,&nbsp;R Barbieri","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The study of emotions elicited by human-computer interactions is a promising field that could lead to the identification of specific patterns of affective states. We present a heart rate variability (HRV) assessment of the autonomic nervous system (ANS) response and respiratory sinus arrhythmia during PC-mediated stimuli by means of standard and multivariate autoregressive spectral methods. 35 healthy volunteers were exposed to computer-mediated tasks during data collection. The stimuli were designed to elicit: relaxation (R), engagement (E) and stress (S); half of the subjects were exposed to E before S (RES) while the other to S before E (RSE). HRV measures clearly separate the ANS response among R, S and E. Less significant differences are found between E and S in RSE, suggesting that S stimuli may cause a lasting response affecting the E period. Results from the bivariate analysis indicate a disruption of the cardio-respiratory coupling during non-relax conditions.</p>","PeriodicalId":72683,"journal":{"name":"Computing in cardiology","volume":"37 5737930","pages":"145-148"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3110731/pdf/nihms-249643.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30315754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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