2021 Computing in Cardiology (CinC)最新文献_第9页

Pairwise Feature Interactions to Predict Arrhythmic Risk of Brugada Syndrome 两两特征相互作用预测Brugada综合征的心律失常风险

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662913

Sharen Lee, Jiandong Zhou, K. Letsas, K. H. C. Li, Tong Liu, S. Zumhagen, E. Schulze-Bahr, G. Tse, Qingpeng Zhang

引用次数: 0

Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation 持续性房颤底物鉴别的优势频率和组织指数

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662648

T. Almeida, Xin Li, B. Sidhu, A. S. Bezerra, Mahmoud Ehnesh, Ibrahim Anton, I. A. Nasser, G. Chu, P. Stafford, T. Yoneyama, G. Ng, F. Schlindwein

{"title":"Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation","authors":"T. Almeida, Xin Li, B. Sidhu, A. S. Bezerra, Mahmoud Ehnesh, Ibrahim Anton, I. A. Nasser, G. Chu, P. Stafford, T. Yoneyama, G. Ng, F. Schlindwein","doi":"10.23919/cinc53138.2021.9662648","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662648","url":null,"abstract":"The combined use of dominant frequency (DF) and organization index (OI) might help to identify atrial regions with organized, fast activation rates in persistent atrial fibrillation (persAF). We determined adaptive thresholds for DF and OI based on electrophysiological responses following AF substrate modification. 2048-channel electrograms (3206 EGMs, 30 s, EnSite Array) were analyzed from 10 persAF patients undergoing DF-guided ablation. After QRST subtraction, fast Fourier transform was used to calculate DF and OI. AF cycle length (AFCL) was measured before and after each ablation point (left atrium appendage). EGMs were grouped in two classes: collected at regions whose ablation resulted in AFCL increase $(geq 10 ms)$ and AFCL non-increase $( < 10 ms)$. Patient-specific z-score DF (DFz) and IO(OIz) were tested to separate the two classes (individually and AND-logic). Informedness (J), accuracy (Acc) and F1 score were used to assess classification performance. Best individual classifications were $DFz=0.52 (J=0.16, Acc=65%, F1=0.41)$, and $OIz=0.60 (J=0.19, Acc=70%,F1=0.40)$. Best AND-logic (DFz and OIz) classification was $DFz=-0.52$ and $OIz=0.49(J=0.23,Acc=71%,F1=0.43)$. DF and OI combination might help in the identification of patient-specific AF substrate to guide ablation in future clinical studies.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115083187","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

VDI Vision - Analysis of Ventricular Electrical Dyssynchrony in Real-Time VDI视觉-心室电不同步的实时分析

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662916

F. Plesinger, I. Viscor, V. Vondra, J. Halámek, Zuzana Koscova, P. Leinveber, K. Čurila, P. Jurák

{"title":"VDI Vision - Analysis of Ventricular Electrical Dyssynchrony in Real-Time","authors":"F. Plesinger, I. Viscor, V. Vondra, J. Halámek, Zuzana Koscova, P. Leinveber, K. Čurila, P. Jurák","doi":"10.23919/cinc53138.2021.9662916","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662916","url":null,"abstract":"Background: Ventricular electrical dyssynchrony can be examined using ultra-high-frequency (UHF-ECG) analysis. Furthermore, UHF-ECG analysis would allow direct optimization of pacing therapy. Here we introduce VDI vision (Ventricular Dyssynchrony Imaging), a desktop application for the real-time processing of UHF-ECG recordings. Method: Incoming ECG data (5kHz, 26 bits, 24 channels) are processed as follows: QRS detection, pacemaker stimuli elimination, QRS clustering, amplitude envelopes in nine frequency bands, and final combination into the Ventricular Depolarization (VD) map. The VD map is updated whenever a new QRS is detected. Results: We developed the VDI vision using the. NET platform. Until the end of March 2021, the VDI monitor was used to analyze 773 and 4,849 recordings at ICRC-FNUSA hospital (Brno, Czechia) and FNKV hospital (Prague, Czechia), respectively. The median length for ICRC-FNUSA recordings was 124 (IQR 121–139) seconds. The median length for recordings at FNKV hospital was 157 seconds (IQR 127–200). Conclusion: The VDI vision delivers information about electrical ventricular dyssynchrony in real-time. The instant analysis allows using the software during implant procedures for optimizing electrode placement and pacing. The presented real-time solution also significantly minimized measurement duration.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129512782","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

Recurrent Neural Networks for Early Detection of Late Onset Sepsis in Premature Infants Using Heart Rate Variability 利用心率变异性的递归神经网络早期检测早产儿晚发型脓毒症

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662715

Cristhyne León, P. Pladys, A. Beuchée, G. Carrault

引用次数: 2

Uncovering Electromechanical Uncoupling in Subclinical Pathogenic Mutation Carriers and Arrhythmogenic Cardiomyopathy Patients 揭示亚临床致病突变携带者和致心律失常性心肌病患者的机电解耦

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662949

M. Kloosterman, M. Boonstra, Feddo P. Kirkels, C. Slump, P. Loh, P. V. Dam

{"title":"Uncovering Electromechanical Uncoupling in Subclinical Pathogenic Mutation Carriers and Arrhythmogenic Cardiomyopathy Patients","authors":"M. Kloosterman, M. Boonstra, Feddo P. Kirkels, C. Slump, P. Loh, P. V. Dam","doi":"10.23919/cinc53138.2021.9662949","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662949","url":null,"abstract":"Arrhythmogenic cardiomyopathy (ACM) is a progressive inherited heart disease. The clinical presentation of ACM is heterogenous and diagnosis remains challenging. Whereas echocardiographic deformation imaging was capable in detecting subtle functional abnormalities in asymptomatic ACM patients, the 12-lead electrocardiogram (ECG) is still not able to detect these subtle electrical changes. As the 12-lead ECG might not be sensitive enough, this study aimed to relate the electrical changes as recorded by body surface potential mapping (BSPM) to the mechanical changes detected by echocardiographic deformation imaging. Per lead, the integral values of all 67 leads were calculated per 5 ms intervals during ventricular depolarization and the lead in which the absolute minimum appeared the most $(lead_{min})$ was identified. The direction of this vector towards a specific heart segment was then compared to the interval between QRS onset and local onset of myocardial shortening, the electromechanical interval (EMI). We observed a relation $of {lead_{min}}$ pointing towards the basal segment of the right ventricle $(RV_{basal})$ and an increased EMI in this area suggesting the existence of an electromechanical relationship in $RV_{basal}$,, With this study, the first steps towards relating both electrical and mechanical changes in ACM pathogenic mutation carriers is made.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146719","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

Model-Based Relevance of Measuring Electrodes for the Inverse Solution with a Single Dipole 单偶极子反解测量电极的模型相关性研究

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662879

Beáta Ondrusová, J. Svehlíková, J. Zelinka, M. Tysler, P. Tiňo

{"title":"Model-Based Relevance of Measuring Electrodes for the Inverse Solution with a Single Dipole","authors":"Beáta Ondrusová, J. Svehlíková, J. Zelinka, M. Tysler, P. Tiňo","doi":"10.23919/cinc53138.2021.9662879","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662879","url":null,"abstract":"Individual ECG electrodes of a multi-lead measuring system can have a variable impact on the solution of the inverse problem. In this study, we investigated the model-based relevance of individual ECG electrodes to identify the position of the stimulation electrode using the inverse solution with a single dipole as an equivalent electrical heart generator. We used four torso ECG mapping datasets from the EDGAR database recorded during ventricular stimulation in three animal torso-tank experiments and one human measurement. The relevance of electrodes, expressed as their weighted contributions to the inverse solution, was determined by the singular value decomposition of a transfer matrix calculated for the given position of the stimulation electrode. The results showed that gradual omission of the electrodes with the highest weighted contributions to the inverse solution worsens the localization. However, missing a small number of such electrodes has little or no effect on the localization. One dataset was more robust to the gradual omission of electrodes with the highest contributions, and the localization significantly deteriorated only after skipping 92% of electrodes. Further study showed that using only several electrodes with the highest weighted contributions to the inverse solution leads to the same or even better localization results than using all electrodes.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134056078","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

Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals 多导联心电信号多心异常诊断的通道自关注深度学习框架

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662886

Apoorva Srivastava, Ajith Hari, S. Pratiher, Sazedul Alam, N. Ghosh, Nilanjan Banerjee, A. Patra

引用次数: 8

Evaluating Pauses in Holter ECG Signals 动态心电图信号暂停的评估

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662914

F. Plesinger, Adam Ivora, J. Halámek, I. Viscor, R. Smíšek, V. Bulkova, P. Jurák

{"title":"Evaluating Pauses in Holter ECG Signals","authors":"F. Plesinger, Adam Ivora, J. Halámek, I. Viscor, R. Smíšek, V. Bulkova, P. Jurák","doi":"10.23919/cinc53138.2021.9662914","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662914","url":null,"abstract":"Background: Information related to pauses in heart activity is an important output of ECG Holter monitoring reports. This information should be quickly assessed from inter-beat (RR) intervals only (a naïve approach). However, evaluating pauses in Holter ECGs recorded during usual daily activities can be more challenging due to signal lower quality. In this paper, we propose a method to improve pause detection in heart activity from Holter ECG recordings. Method: We used 978 recordings (length 45 seconds, 1-lead ECG, sampled at 200 or 250 Hz) with a known longest RR interval (from 1.12 to 19.0 seconds, mean duration of 2.72 ± 1.26 seconds). QRS complexes were detected by a convolutional neural network with a recurrent layer. This study started with the automated removal of suspicious QRS complexes by a QRS amplitude. Then we iterated through RR intervals, seeking saturated areas, missed QRS, or a strong noise; potentially, examined RR intervals were further refined. The longest interval was reported for each recording. Results: The ability to find life-threatening pauses improved from an F1 score of 0.95 to 0.97. Conclusion: The presented method improved pause detection in Holter ECG recordings compared to the naïve approach.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130144369","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

Hybrid Arrhythmia Detection on Varying-Dimensional Electrocardiography: Combining Deep Neural Networks and Clinical Rules 变维心电图混合心律失常检测:结合深度神经网络与临床规律

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662801

Hao Wen, J. Kang

{"title":"Hybrid Arrhythmia Detection on Varying-Dimensional Electrocardiography: Combining Deep Neural Networks and Clinical Rules","authors":"Hao Wen, J. Kang","doi":"10.23919/cinc53138.2021.9662801","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662801","url":null,"abstract":"Aim: This study (from Revenger team) aims to develop effective approaches for the detection of cardiac arrhythmias from varying-dimensional electrocardiography (ECG) in the PhysioNet/Computing in Cardiology Challenge 2021, taking advantage of both deep neural networks (DNNs) and insights from clinical diagnostic criteria. Methods: 26 classes (equivalent classes are counted one) of ECGs are divided into two categories. Detectors are manually designed for classes in the category with clear clinical rules. The rest classes with subtle morphological and spectral characteristics are classified by DNNs. To make the networks capable of capturing features of different scopes, we use multi-branch convolutional neural networks (CNNs), each with different receptive fields via dilated convolutions. Considering ECGs' varying dimensionality, convolutions are grouped with group number equaling the number of leads. Outputs from DNNs and from manual detectors are merged to give final predictions. Results: Although we did not officially rank (the code failed to complete on the 12-lead test set), we received test scores of 0.33, 0.35, 0.33, 0.33, and 0.33 on the 2-lead, 3-lead, 4-lead and 6-lead test sets respectively. Conclusion: The proposed hybrid method is effective for establishing auxiliary diagnosis systems, and the reduced-lead ECGs are sufficient for such systems.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131337001","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

In Silico Electrophysiological Evaluation of Scaffold Geometries for Cardiac Tissue Engineering 心脏组织工程支架几何形状的计算机电生理评价

2021 Computing in Cardiology (CinC) Pub Date : 2021-09-13 DOI: 10.23919/cinc53138.2021.9662890

R. M. Rosales, Konstantinos A. Mountris, M. Doblaré, M. Mazo, Emilio L. Pueyo

{"title":"In Silico Electrophysiological Evaluation of Scaffold Geometries for Cardiac Tissue Engineering","authors":"R. M. Rosales, Konstantinos A. Mountris, M. Doblaré, M. Mazo, Emilio L. Pueyo","doi":"10.23919/cinc53138.2021.9662890","DOIUrl":"https://doi.org/10.23919/cinc53138.2021.9662890","url":null,"abstract":"Human induced pluripotent stem cell-derived car-diomyocytes (hiPSC-CMs) cultured on bio-printed scaffolds have shown promising results for cardiac function restoration in regenerative medicine. Nevertheless, pro-arrhythmicity favored by reduced conduction velocity of the transplanted constructs as compared to native tissue has been poorly assessed. Here, we investigate the impact of the scaffold geometry on the electrical activation properties of hiPSC-CMs cultures. Electrophysiological models of hiPSC-CMs and the Finite Element Method were employed for computational simulation of hiPSC-CMs cultures. The models were calibrated to replicate experimentally measured activation time maps by adjusting parameters representative of fiber alignment and cell-to-cell coupling. Scaffolds with rectangular, auxetic and elongated hexagonal pore shapes were studied to determine the most biomimetic structure in terms of electrical propagation characteristics. Our results showed that the geometry with elongated hexagonal pores led to faster activation of hiPSC-CMs cultures by facilitating the alignment of cardiac fibers in the longitudinal direction. These pore shapes mimic cardiac anisotropy, therefore would be the preferred geometry for experimental culture.","PeriodicalId":126746,"journal":{"name":"2021 Computing in Cardiology (CinC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131353354","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