2020 Computing in Cardiology最新文献_第9页

Quantification of Posture-Induced Changes in Bed-Based Ballistocardiogram 床上心电图姿势变化的定量分析

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.060

Hewon Jung, Jacob P. Kimball, Timothy Receveur, Eric Agdeppa, O. Inan

{"title":"Quantification of Posture-Induced Changes in Bed-Based Ballistocardiogram","authors":"Hewon Jung, Jacob P. Kimball, Timothy Receveur, Eric Agdeppa, O. Inan","doi":"10.22489/CinC.2020.060","DOIUrl":"https://doi.org/10.22489/CinC.2020.060","url":null,"abstract":"The ballistocardiogram (BCG), a measurement of cardiogenic whole body movements, is a technique that enables non-invasive cardiovascular monitoring. A main challenge of the BCG signal is that its morphology and amplitude are sensitive to the posture of the subject during the recording period. This work elucidates effects of posture on bed-based BCG recordings by (1) creating templates for standing BCG signals obtained from subjects in a prior study, and (2) quantifying the distance between these templates and BCG waveforms obtained in different body postures on the bed for a new set of subjects. The signal quality index (SQI), defined in previous work and corresponding to the inverse of the distance to the templates, was the highest for the supine posture and the lowest for the lateral postures. A previously-reported system identification approach to correct for distortions in the lateral, prone, and seated postures was further validated. The system identification algorithm significantly improved the signal quality and correlation to the reference morphology - the supine and standing BCG. This work has implications for robust signal processing that allows for accurate physiological interpretation of the BCG obtained in a variety of postures from a subject in bed.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"77 52 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":"131121117","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

A Novel Convolutional Neural Network for Arrhythmia Detection From 12-lead Electrocardiograms 一种用于12导联心电图心律失常检测的新型卷积神经网络

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.196

Zhengling He, Pengfei Zhang, Lirui Xu, Zhongrui Bai, Hao Zhang, Weisong Li, Pan Xia, Xianxiang Chen

引用次数: 1

Comparison of Two Equivalent Dipole Layer Based Inverse Electrocardiography Techniques for the Non-Invasive Estimation of His-Purkinje Mediated Ventricular Activation 基于等效偶极子层的两种反向心电图技术在无创评估hi - purkinje介导的心室激活中的比较

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.354

M. Boonstra, R. Roudijk, P. Loh, P. V. Dam

引用次数: 0

Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification 基于多标签分类的图卷积网络在12导联心电图诊断中的应用

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.135

Zheheng Jiang, T. Almeida, F. Schlindwein, G. Ng, Huiyu Zhou, Xin Li

引用次数: 7

Consequences of Using an Orthotropic Stress Tensor for Left Ventricular Systole 使用正交各向异性应力张量对左心室收缩的影响

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.246

T. Gerach, S. Schuler, E. Kovacheva, O. Dössel, A. Loewe

{"title":"Consequences of Using an Orthotropic Stress Tensor for Left Ventricular Systole","authors":"T. Gerach, S. Schuler, E. Kovacheva, O. Dössel, A. Loewe","doi":"10.22489/CinC.2020.246","DOIUrl":"https://doi.org/10.22489/CinC.2020.246","url":null,"abstract":"A variety of biophysical and phenomenological active tension models has been proposed during the last decade that show physiological behaviour on a cellular level. However, applying these models in a whole heart finite element simulation framework yields either unphysiological values of stress and strain or an insufficient deformation pattern compared to magnetic resonance imaging data. In this study, we evaluate how introducing an orthotropic active stress tensor affects the deformation pattern by conducting a sensitivity analysis regarding the active tension at resting length Tref and three orthotropic activation parameters Kss,Ksn and Knn). Deformation of left ventricular contraction is evaluated on a truncated ellipsoid using four features: wall thickening (WT), longitudinal shortening (LS), torsion (Θ) and ejection fraction (EF). We show that EF, WT and LS are positively correlated with the parameters Tref and Knn while Kss reduces all of the four observed features. Introducing shear stress to the model has little to no effect on EF, WT and LS, although it reduces torsion by up to 3°. We find that added stress in the normal direction can support healthy deformation patterns. However, the twisting motion, which has been shown to be important for cardiac function, reduces by up to 20°.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"9 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":"125763233","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

Disease-Specific Electrocardiographic Lead Positioning for Early Detection of Arrhythmogenic Right Ventricular Cardiomyopathy 疾病特异性心电图导联定位早期发现致心律失常右室心肌病

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.334

Janna Ruisch, M. Boonstra, R. Roudijk, P. V. Dam, C. Slump, P. Loh

{"title":"Disease-Specific Electrocardiographic Lead Positioning for Early Detection of Arrhythmogenic Right Ventricular Cardiomyopathy","authors":"Janna Ruisch, M. Boonstra, R. Roudijk, P. V. Dam, C. Slump, P. Loh","doi":"10.22489/CinC.2020.334","DOIUrl":"https://doi.org/10.22489/CinC.2020.334","url":null,"abstract":"Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by replacement of cardiomyocytes by fibrofatty tissue which can lead to ventricular arrhythmias, heart failure or sudden cardiac death. Genetic defects in desmosomal proteins, as plakophilin-2 (PKP2), are known to contribute to disease development. Current electrocardiographic (ECG) criteria for ARVC diagnosis only focus on right precordial leads, but sensitivity of current depolarization criteria is limited. This study aimed to identify additional depolarization criteria with most optimal lead configurations for early detection of ARVC in PKP2 pathogenic mutation carriers. In PKP2-positive ARVC patients (n=7), PKP2 pathogenic variant carriers (n=16) and control subjects without structural heart disease (n=9), 67-lead body surface potential maps (BSPM) were obtained. Terminal QRS-integrals were determined and quantitatively compared to controls using departure mapping. Significantly different terminal QRS-integrals were identified in lead 34 (conventional V3), 40 and 41 (conventional V4). To conclude, a clear distinction between ARVC patients, asymptomatic mutation carriers and healthy controls was observed.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"GE-20 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":"126565735","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

Unobtrusive Monitoring of ECG and EEG During Mild Stress Stimuli 轻度应激刺激下心电图和脑电图的不显眼监测

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.049

V. C. Zuccalà, R. Favilla, G. Coppini

引用次数: 0

QT-RR Relation Is Different in Humans and Rats 人类和大鼠的QT-RR关系不同

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.068

B. D. Maria, V. Bari, B. Cairo, A. Catai, A. Takahashi, L. Carnevali, A. Sgoifo, F. Perego, L. Vecchia, A. Porta

{"title":"QT-RR Relation Is Different in Humans and Rats","authors":"B. D. Maria, V. Bari, B. Cairo, A. Catai, A. Takahashi, L. Carnevali, A. Sgoifo, F. Perego, L. Vecchia, A. Porta","doi":"10.22489/CinC.2020.068","DOIUrl":"https://doi.org/10.22489/CinC.2020.068","url":null,"abstract":"The QT interval (QT) variability has been recently computed to infer cardiac control of rats. It has been suggested that QT variability markers in rats have the same physiological meaning as in humans. However, some evidences indicate a different dependence of QT on the previous RR interval (RR). Thus, the aim of this study was to compare the relation of the QT to the preceding RR in humans and in rats. Electrocardiogram was recorded in supine position (REST) and during tilt test (T90) in 23 healthy subjects and in 9 Wistar (WI) and 14 wild-type Groningen (WT) rats during the dark period. Pearson product moment correlation coefficient r computed between RR and QT was calculated for each subject or animal within each experimental condition. In humans we found that r was positive and decreased from REST to T90. Conversely, r was negative in rats and did not differ between WI and WT. The r absolute value was significantly higher in humans than in rats. Our results showed that trends toward longer RRs lead to longer QTs in humans but shorter QTs in rats and that the strength of the QT-RR association is lower in rats. We conclude that attention should be paid when using the rat model in translational studies assessing the QT-RR relation.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"10 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":"134605156","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

A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance 利用胸阻抗检测心肺复苏中呼吸暂停的方法

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.313

Enrique Rueda, E. Aramendi, U. Irusta, A. Idris

{"title":"A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance","authors":"Enrique Rueda, E. Aramendi, U. Irusta, A. Idris","doi":"10.22489/CinC.2020.313","DOIUrl":"https://doi.org/10.22489/CinC.2020.313","url":null,"abstract":"Cardiac arrest is the main cause of death in developed countries. A good quality cardiopulmonary resuscitation (CPR) is key for the survival of the patient in out-of-hospital cardiac arrest (OHCA), including chest compressions (CCs) and ventilations. Ventilations have been proven to have an important impact in the outcome of the patient, and detecting the CC pauses where ventilations were provided is the aim of this study. An algorithm that automatically detects pauses between sequences of CCs using machine learning techniques is proposed. For this study a set of 102 defibrillator files from OHCA patients that include the thoracic impedance recorded through the defibrillation pads was used. The work has been split into 2 main blocks: a random forest (RF) classifier that classifies 1-s windows as CC/no-CC and an algorithm that sets the beginning and the end of each detected pause. The RF classifier was validated using 10 fold cross-validation method, obtaining a median sensitivity (Se), specificity (Sp) and positive predictive value (PPV) of 95.4/97. 9/94.4 % respectively, for window classification. The pause detector returned median Se/PPV values of 90.0/91.3 % with a median pause delimitation error of 0.04 s and a duration error of 0.04 s.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"478 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":"132181259","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

Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients 重症监护病房患者血压脉搏记录的心率变异性评估

2020 Computing in Cardiology Pub Date : 2020-09-13 DOI: 10.22489/CinC.2020.423

Maximiliano Mollura, E. M. Polo, Li-wei H. Lehman, R. Barbieri

{"title":"Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients","authors":"Maximiliano Mollura, E. M. Polo, Li-wei H. Lehman, R. Barbieri","doi":"10.22489/CinC.2020.423","DOIUrl":"https://doi.org/10.22489/CinC.2020.423","url":null,"abstract":"The role of Pulse Rate estimated from blood pressure pulse when used as a surrogate for Heart Rate Variability (HRV) studies has been addressed under different conditions in healthy subjects. However, there is a lack of validation in studies involving patients admitted in the Intensive Care Unit (ICU). Therefore, our study aims at validating six different possible surrogates for the ECG-derived tachogram, estimated from the time interval series between successive onset (O), systolic (S) and diastolic (D) fiducial points extracted from arterial blood pressure (ABP) and photoplethysmogram (PPG) waveforms. The validation is performed by looking at the ability of such surrogates in providing comparable estimates of the most common HRV measures. Results show a high agreement between the ECG-derived and the ABP/PPG-derived series, with small biases. Results from sub-populations of patients that showed increases (and decreases) in such measures show a good ability of these surrogates in tracking autonomic changes. In addition, differently from PPGO and PPGS, ventilated and sedated subjects did not show differences in estimating HF power from PPGD, indicating diastolic time intervals as less affected by such procedures. In conclusion, HRV measures estimated from ABP or PPG can be reasonably used also in studies on ICU patients whenever ECG recordings are not available.","PeriodicalId":407282,"journal":{"name":"2020 Computing in Cardiology","volume":"107 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":"122653275","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