2020 Computing in Cardiology最新文献_第5页

Fundamental Considerations of HRV Analysis in the Development of Real-Time Biofeedback Systems HRV分析在实时生物反馈系统开发中的基本考虑

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.078

Mariam A. Bahameish, T. Stockman

引用次数: 0

Specializing CNN Models for Sleep Staging Based on Heart Rate 专门为基于心率的睡眠分期CNN模型

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.105

Miriam Goldammer, S. Zaunseder, H. Malberg, F. Gräßer

{"title":"Specializing CNN Models for Sleep Staging Based on Heart Rate","authors":"Miriam Goldammer, S. Zaunseder, H. Malberg, F. Gräßer","doi":"10.22489/CinC.2020.105","DOIUrl":"https://doi.org/10.22489/CinC.2020.105","url":null,"abstract":"This work aims to classify sleep stages based on tachograms using Convolutional Neural Networks (CNNs) and investigate advantages of specialized classifiers. The tachograms of 5422 patients were extracted from the Sleep Heart Health Study. A CNN was trained to classify each 30 s epoch into four distinct sleep stages. The patients were divided into four subgroups by Apnoe-Hypopnoe-Index (AHI). From each subgroup, 20 % of pa-tients were held out as test data. One general model was trained on all training patients and four narrowed models were each trained on one subgroup. Furthermore, the general model was retrained on the subgroups, yielding four additional transfer learning models. Our general model gained an average Cohen's Kappa score of 0.53. The general model outperformed the narrowed models on each test subset. From the narrowed models, training on the subgroup with AHI 5–15 achieved best overall performance. However, a correlation exists between the size of train sets and classification quality. Transfer learning did not improve the results. CNN models are capable of learning features from tachograms with very good classification performance compared to other works using heart rate only. However, the pursued strategies for specializing classifiers did not yield any advantages over our general model.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129491671","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

Fragmented QRS Dynamics Towards Electrical Storm in ICD Patients ICD患者电风暴的碎片QRS动力学

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.151

Amalia Villa, S. Ingelaere, S. Huffel, R. Willems, C. Varon

{"title":"Fragmented QRS Dynamics Towards Electrical Storm in ICD Patients","authors":"Amalia Villa, S. Ingelaere, S. Huffel, R. Willems, C. Varon","doi":"10.22489/CinC.2020.151","DOIUrl":"https://doi.org/10.22489/CinC.2020.151","url":null,"abstract":"Electrical storm (ES) in ICD patients, defined as 3 or more appropriate ICD interventions within a time span of 24 hours, is a medical emergency associated with adverse outcome. However, it is debated if ES is only a marker of progressive near end-stage cardiac disease or an ar-rhythmogenic entity on its own. Better understanding and prediction are necessary to manage the burden of ES. The goal of this study is to explore the relation between the presence of fragmented QRS (fQRS) and the manifestation of electrical storm in patients with an ICD for ischemic heart disease. A balanced dataset of 100 patients was considered for this study, where 50 patients with ischemic heart disease and dilated cardiomyopathy present ES. 12-lead ECG signals were analyzed from 3 years before until the moment of ES, divided in 4 visits. The fQRS level in the 12-lead ECG data recorded in each visit was automatically quantified with a score between 0 and 1 for each lead. A Friedman test between the first and last visit for each of the groups showed a significant increase in the average level of fragmentation for the patients presenting ES, absent in the control group. This suggests that there is a trend towards deterioration in fQRS for patients manifesting ES with an ICD for ischemic heart disease.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127057163","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

Electrocardiographic Alternans in Myocardial Bridge: A Case Report 心肌桥心电图交替1例报告

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.099

Ilaria Marcantoni, Alessia Di Menna, Francesca Rossini, Federica Turco, M. Morettini, A. Sbrollini, F. Bianco, M. Pozzi, L. Burattini

{"title":"Electrocardiographic Alternans in Myocardial Bridge: A Case Report","authors":"Ilaria Marcantoni, Alessia Di Menna, Francesca Rossini, Federica Turco, M. Morettini, A. Sbrollini, F. Bianco, M. Pozzi, L. Burattini","doi":"10.22489/CinC.2020.099","DOIUrl":"https://doi.org/10.22489/CinC.2020.099","url":null,"abstract":"Myocardial bridge (MB) is a congenital heart condition in which a “bridge” of myocardium is overlying a “tunneled” coronary artery. MB can be associated with a series of critical cardiac events. Aim of this study was to evaluate electrocardiographic alternans (ECGA) on a MB patient, being ECGA a cardiac electrical risk index defined as beat-to-beat alternation of electrocardiographic P-wave, QRS-complex and T-wave morphology at stable heart rate. ECGA analysis was performed in a 1-hour 12-lead electrocardiographic recording of a 54 years-old MB male patient at rest by application of the heart-rate adaptive match filter method. Areas of P-wave, QRS and T-wave alternans (PWAA, QRSAA, TWAA) were measured, evaluating also the prevalent among the three. Results showed the prevalent alternans was T-wave alternans, being TWAA on average equal to 6.3 µV×s (PWAA=4.7 µV×s, QRSAA=4.3 µV×s); TWAA prevalence occurrence rate was 94% (PWAA: 5%, QRSAA:1%). TWAA was also found to be significantly correlated (p=0.72, p<10−2) with heart rate. Eventually, TWAA was at least twice higher than in previously analyzed male healthy subjects. Thus, MB seems to be associated to a higher cardiac electrical risk, possibly especially while performing physical activity at high heart rate.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127380826","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

Effect of Anesthesia on Fetal-Maternal Heart Rate Variability and Coupling in Pregnant Mice and Fetuses 麻醉对妊娠小鼠和胎儿胎母心率变异性和偶联的影响

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.197

A. Khandoker, Maisam Wahbah, C. Yoshida, Y. Kimura, Y. Kasahara

{"title":"Effect of Anesthesia on Fetal-Maternal Heart Rate Variability and Coupling in Pregnant Mice and Fetuses","authors":"A. Khandoker, Maisam Wahbah, C. Yoshida, Y. Kimura, Y. Kasahara","doi":"10.22489/CinC.2020.197","DOIUrl":"https://doi.org/10.22489/CinC.2020.197","url":null,"abstract":"To evaluate and assess the cardiovascular system during fetal development in the utero of pregnant mouse, it is essential to understand the effect of mandatory anesthesia treatment on sympathetic and parasympathetic nervous system activities. The preliminary study presented in this paper explores the changes in fetal and maternal Heart Rate Variability (HRV) parameters as well as fetal-maternal Heart Rate (HR) coupling measures during anesthesia. ECG signals of 6 pregnant mice and 10 fetuses were recordedfor 15 min. The obtained ECG signals were segmented into three periods, each for a duration of 5 min. Maternal and fetal HRV parameters in addition to fetal-maternal coupling patterns were computed for each of the three segments of the ECG signals. During the first 10 min, results show that mean and root mean square of successive differences (RMSSD) of maternal HR did not change, but significantly decreased after the first 10 min. A similar result was observed for the mean, RMSSD and standard deviation of NN intervals in fetal HR. On the other hand, no significant changes were observed for the coupling patterns between fetal-maternal heartbeats. These observations suggest that fetal nervous system activities were suppressed by anesthesia treatment applied to pregnant mice for more than 10 min.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127266178","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

Breathing Rate Estimation Methods From PPG Signals, on CAPNOBASE Database 基于CAPNOBASE数据库的PPG信号呼吸频率估计方法

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.064

Remo Lazazzera, G. Carrault

引用次数: 4

A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs 12导联心电图自动解释的深度学习解决方案

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.305

Á. Huerta, A. Martínez-Rodrigo, J. J. Rieta, R. Alcaraz

{"title":"A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs","authors":"Á. Huerta, A. Martínez-Rodrigo, J. J. Rieta, R. Alcaraz","doi":"10.22489/CinC.2020.305","DOIUrl":"https://doi.org/10.22489/CinC.2020.305","url":null,"abstract":"A broad variety of algorithms for detection and classification of rhythm and morphology abnormalities in ECG recordings have been proposed in the last years. Although some of them have reported very promising results, they have been mostly validated on short and non-public datasets, thus making their comparison extremely difficult. PhysioNet/CinC Challenge 2020 provides an interesting opportunity to compare these and other algorithms on a wide set of ECG recordings. The present model was created by “ELBIT” team. The algorithm is based on deep learning, and the segmentation of all beats in the 12-lead ECG recording, generating a new signal for each one by concatenating sequentially the information found in each lead. The resulting signal is then transformed into a 2-D image through a continuous Wavelet transform and inputted to a convolutional neural network. According to the competition guidelines, classification results were evaluated in terms of a class-weighted F-score (Fβand a generalization of the Jaccard measure (Gβ). In average for all training signals, these metrics were 0.933 and 0.811, respectively. Regarding validation on the testing set from the first phase of the challenge, mean values for both performance indices were 0.654 and 0.372, respectively.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122376010","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

His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients 他的束起搏而不是左束起搏纠正了左束分支阻滞患者的间隔闪光

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.030

M. Strocchi, A. Neic, M. Gsell, Christoph M. Augustin, Julien Bouyssier, K. Gillette, Mark K. Elliot, J. Gould, J. Behar, B. Sidhu, M. Bishop, E. Vigmond, G. Plank, C. Rinaldi, S. Niederer

{"title":"His Bundle Pacing but not Left Bundle Pacing Corrects Septal Flash in Left Bundle Branch Block Patients","authors":"M. Strocchi, A. Neic, M. Gsell, Christoph M. Augustin, Julien Bouyssier, K. Gillette, Mark K. Elliot, J. Gould, J. Behar, B. Sidhu, M. Bishop, E. Vigmond, G. Plank, C. Rinaldi, S. Niederer","doi":"10.22489/CinC.2020.030","DOIUrl":"https://doi.org/10.22489/CinC.2020.030","url":null,"abstract":"His bundle pacing (HBP) and left bundle pacing (LBP) are novel delivery methods for cardiac resynchronisation therapy (CRT) for left bundle branch block (LBBB) patients. Septal flash (SF), an abnormal pre-ejection motion of the septum towards the left ventricle (LV) arising from dyssynchronous activation, has been shown in the past to be a robust and independent predictor for CRT response. Although small-cohort studies showed the feasibility and efficacy of HBP and LBP, the effects of HBP and LBP on septal motion have yet to be investigated. In this study, we used our four-chamber heart electro-mechanics simulation framework to determine whether HBP and LBP can correct for SF. We performed simulations in four four-chamber heart models. In synchronous and LBBB activation, simulated mean lateral septal movement from the right ventricle (RV) into the LV was -0.4±0.5mm and - 3.7±0.9mm (p<0.05), respectively. HBP reduced septal motion to -0.4±0.5mm (p=0.5 when compared to synchronous activation). In LBP, septal motion was reversed to 0.9±0.5mm and significantly different from synchronous activation (p<0.05). HBP was better able to recover septal function over LBP in patients with complete atrioventricular block.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123729038","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

An ECG-Based System for Respiratory Rate Estimation Tested on a Wearable Armband during Daily Life 基于心电图的呼吸频率评估系统在可穿戴臂带上的日常测试

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.251

J. Lázaro, N. Reljin, R. Bailón, E. Gil, Yeonsik Noh, P. Laguna, K. Chon

{"title":"An ECG-Based System for Respiratory Rate Estimation Tested on a Wearable Armband during Daily Life","authors":"J. Lázaro, N. Reljin, R. Bailón, E. Gil, Yeonsik Noh, P. Laguna, K. Chon","doi":"10.22489/CinC.2020.251","DOIUrl":"https://doi.org/10.22489/CinC.2020.251","url":null,"abstract":"A pilot study on breathing rate (BR) estimation during daily life by using a wearable armband is presented. This wearable armband provides three electrocardiogram (ECG) channels, and BR was estimatedfrom them by using ECG derived respiration (EDR) techniques based on respiration-related QRS morphology modulations: QRS slopes and R-wave angle. Five healthy volunteers wore the armband during 24 hours, with the only instruction not to exercise. In addition, reference ECG signals were simultaneously recorded by a market-available 3-channel Holter monitor. The percentage of armband's accurate BR estimations (differing less than 5% from the Holter estimation) with respect to the total number of Holter's estimations was computed (P1). In addition, the percentage of accurate armband's BR estimations with respect to the total number of armband's estimations was also computed (P2). P1 ranged from 26.59% to 73.00% during non-bed time, and from 63.05% to 88.73% during bed time. P2 ranged from 60.89% to 94.57% during non-bed time, and from 81.65% to 97.38% during bed time. These results are promising and suggest that the armband may be useful for BR monitoring in some applications. However, an artifact detector specifically focused on detecting those segments which are usable for BR detection needs to be developed.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130533971","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

Optimization Strategies to Reduce Alarm Fatigue in Patient Monitors 减少病人监护器报警疲劳的优化策略

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.024

Mengxing Liu, Zehui Sun, Wenyu Ye, Xianliang He, Haoyu Jiang, Ye Li, Yiyu Zhuang

{"title":"Optimization Strategies to Reduce Alarm Fatigue in Patient Monitors","authors":"Mengxing Liu, Zehui Sun, Wenyu Ye, Xianliang He, Haoyu Jiang, Ye Li, Yiyu Zhuang","doi":"10.22489/CinC.2020.024","DOIUrl":"https://doi.org/10.22489/CinC.2020.024","url":null,"abstract":"In order to ameliorate alarm fatigue, three optimization strategies are proposed to reduce false alarms and repetitive non-actionable true alarms. The four-lead arrhythmia analysis, multi-parameter fusion and intelligent threshold reminder are adopted and evaluated in multi-center clinic study. The four-lead arrhythmia analysis algorithm includes lead optimization, beat matching, detection and classification combinations. The multi-parameter fusion algorithm aggregates the information obtained from ECG, SpO2 and IBP wave signals. The intelligent threshold reminder can help medical staff to adjust and recover alarm limits appropriately. The results show that more than 50% of false alarms can be reduced by the four-lead analysis and the multi-parameter fusion analysis. In some specific occasions, the intelligent threshold reminder can reduce repetitive non-actionable true alarms significantly. And no further false-negative events are generated after using the strategies in our experiments. We demonstrate that increasing the dimensionality of parametric analysis and controlling the alarm limits is beneficial for reducing alarm fatigue in intensive care units.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130690063","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