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检索条件"任意字段=Conference on Computing in Cardiology"

共 1032 条记录，以下是61-70 订阅

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Premature Ventricular Conduction Detection and Localization From the ECG Using a Neural Network 45

Premature Ventricular Conduction Detection and Localization ...

引用

45th computing in cardiology conference (CinC)

作者： Pereira, Alexander van Dam, Peter Abacherli, Roger Lucerne Univ Appl Sci & Arts IMT Horw Switzerland Peacs BV Nieuwerbrug Netherlands Univ Hosp Basel CRIB Basel Switzerland

ISBN: (纸本)9781728109589

The identification and localization of premature ventricle contractions (PVC) can be a lengthy procedure. In each treatment, a great deal of time is spent in the precise localization of the origin of the cardiac arrhythmia. This work investigates the acceleration of the PVC detection process, using standard 12-lead ECG data as input and localizes PVC on the right ventricular (RV) or left ventricular (LV). The proposed neural network (NN) is a shallow NN which consists of only one hidden layer with multiple hidden units. Three data sets consisting of a total of 328 resting ECG samples are used to train and evaluate the NN. Multiple iteration tests with different training sets have been done to identify the most promising configuration. The training cohorts differ in the distribution of data with PVC (cohort 1 ratio 1:1, cohort 2 ratio 25:4;NO PVC: PVC). High sensitivity and specificity values have been reached in NNs with uniformly distributed training data providing a sufficient performance, which might be comparable to an expert.

关键词： cardiology

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Identification of Cardiac Arrhythmias From 12-lead ECG Using Beat-wise Analysis and a Combination of CNN and LSTM

Identification of Cardiac Arrhythmias From 12-lead ECG Using...

引用

computing in cardiology conference (CinC)

作者： Alkhodari, Mohanad Hadjileontiadis, Leontios J. Khandoker, Ahsan H. Khalifa Univ Healthcare Engn Innovat Ctr Abu Dhabi U Arab Emirates

ISBN: (纸本)9781728173825

Throughout the years, there have been many attempts to develop an accurate cardiac arrhythmias identification algorithm. However, despite achieving acceptable results, they have been only applied on either small or homogeneous data-sets. A study was developed herein to identify cardiac arrhythmias from varied-length 12-lead ECG signals obtained from the PhysioNet/computing in cardiology Challenge 2020 and acquired from a wide set of sources. Our team, Care4MyHeart, developed an approach that starts by analyzing the labels of the database. Then, applying various signal processing techniques to denoise the 12-lead signals. After that a beat-by-beat segmentation procedure was followed to identify the most significant beats in exhibiting the arrhythmia within the signals. A CNN+BiLSTM model was then trained and evaluated on the training set using 10-fold cross-validation scheme as well as on hidden validation and testing sets. Our approach achieved a challenge validation score of 0.379 and full test score of 0.146 on the hidden validation and testing sets, respectively. Our team was ranked the 26th out of 41 entries in this year's Challenge.

关键词： cardiology

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Improving the Quality of ECGs Collected Using Mobile Phones: The PhysioNet/computing in cardiology Challenge 2011

Improving the Quality of ECGs Collected Using Mobile Phones:...

引用

conference on computing in cardiology

作者： Silva, Ikaro Moody, George B. Celi, Leo MIT Harvard Mit Div Hlth Sci & Technol Cambridge MA 02139 USA

ISBN: (纸本)9781457706110

The aim of the PhysioNet/computing in cardiology Challenge 2011 was to develop an efficient algorithm able to run within a mobile phone, that can provide useful feedback in the process of acquiring a diagnostically useful 12-lead ECG recordings. PhysioNet provided a large set of ECG records for use in the Challenge, together with an open-source sample application that can run on an Android phone, and can classify ECGs as acceptable or unacceptable. A total of 49 teams and individuals participated in challenge, which entailed three events. In event 1, participants developed algorithms for classifying ECGs with respect to quality, and submitted their algorithms' classifications of 500 ECGs, obtaining 89-93% accuracy using variety of methods. In event 2, participants submitted Java implementations of their algorithms to be used in the sample mobile application;we tested these in two reference mobile phones using the same data set and scoring method as in event 1, obtaining 80-91% accuracy. Event 3 was similar to event 2, but was conducted using a set of ECGs not available for study by the participants, and the scoring was a function of both accuracy and mobile phone processing speed;in this event, similar levels of accuracy were achieved with average execution times of less than 2 seconds on the reference phones.

关键词： Electrocardiograms

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A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models 45

A Common-Ground Review of the Potential for Machine Learning...

引用

45th computing in cardiology conference (CinC)

作者： Coll-Font, Jaume Wang, Linwei Brooks, Dana H. Childrens Hosp Computat Radiol Lab 300 Longwood Ave Boston MA 02115 USA Rochester Inst Technol Rochester NY 14623 USA Northeastern Univ ECE Dept SPIRAL Grp Boston MA 02115 USA

ISBN: (纸本)9781728109589

Machine learning (ML) methods have seen an explosion in their development and application. They are increasingly being used in many different fields with considerable success. However, although the interest is growing,their impact in the field of electrocardiographic imaging (ECGI) remains limited. One of the main reasons that ML has yet to become more prevalent in ECGI is that the published literature is scattered and there is no common ground description and comparison of these methods in an ML framework. Here we address this limitation with a review of ECGI methods from the perspective of ML. We will use probabilistic modeling to provide a common ground framework to compare different methods and well known approaches. Finally, we will discuss which approaches have been used to do inference on these models and which alternatives could be utilized as the methods in ML become more mature.

关键词： cardiology

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System for Acquisition of Weak Murmurs Related to Coronary Artery Diseases

System for Acquisition of Weak Murmurs Related to Coronary A...

引用

conference on computing in cardiology

作者： Hansen, John Zimmermann, Henrik Schmidt, Samuel E. Hammershoi, Dorte Struijk, Johannes Jan Aalborg Univ Dept Hlth Sci & Technol Fredrik Bajers Vej 7 DK-9220 Aalborg O Denmark Aalborg Univ Dept Elect Syst Acoust DK-9220 Aalborg O Denmark

ISBN: (纸本)9781457706110

The aim of the present study is to describe the design of an acquisition system for the specific purpose of recording heart murmurs originating from stenosis in the coronary arteries. The design and development of such a system require knowledge in many disciplines: acoustic couplers, microphones, skin adhesives, electronic hardware, software and patient safety. Special considerations are needed in order to record these murmurs since they have a 60 dB lower sound level, than that of the closing heart valves. The system was implemented and successfully used for collection of heart sounds in a clinical trial including 463 patients referred for elective coronary angiography.

关键词： cardiology

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Heart Failure, End-Systolic Pressure-Volume Relation 42

Heart Failure, End-Systolic Pressure-Volume Relation

引用

2015 Comp in Cardiol conference (CinC)

作者： Shoucri, Rachad Mounir Royal Mil Coll Canada Kingston ON Canada

ISBN: (纸本)9781509006854

The problem of heart failure with normal or preserved ejection fraction (HFpEF) has been the subject of numerous studies. Mathematical relations between ejection fraction (EF) and the parameters describing linear and non-linear end-systolic pressure-volume relation (ESPVR) have been derived in previous publications. Consequently one can expect a link between observed percentage of heart failure and EF on the one hand, and indexes derived from the ESPVR on the other hand, which is the subject of this study. It is shown that important information can be derived from the ESPVR that can give better insight into the mechanics of ventricular contraction. Applications to clinical data published in the literature show the consistency of the mathematical formalism used.

关键词： cardiology

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A Novel Model of Acute Myocardial Ischemia in Human Ventricular Cardiomyocytes

A Novel Model of Acute Myocardial Ischemia in Human Ventricu...

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computing in cardiology conference (CinC)

作者： Girones-Sanguesa, Marta Esteban, Claudia Gonzalez-Ascaso, Ana Rodriguez-Matas, Jose F. Ferrero, Jose M. Univeristat Politecn Valencia CI2B Valencia Spain Politecn Milan Chem Mat & Chem Engn Dept Milan Italy

ISBN: (纸本)9781728173825

Acute myocardial ischemia is known to be a pathology with a high mortality worldwide. In the last decades, computational simulation has been a widely used tool to study the electrophysiological effects of ischemia. In this work, we present an up-to-date model of the effects of myocardial ischemia in the action potential which includes more ischemia-affected current alterations than any other previously published model. The model was used to simulate action potentials during a 10-minute period of dynamic ischemia, and the main biomarkers of the action potential were monitored, as well as the extracellular potassium elevation. The results agree with those obtained experimentally, suggesting that the model can be useful for 3D simulations of acute myocardial ischemia.

关键词： cardiology

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Identification of a signal for an optimal heart beat detection in multimodal physiological datasets 41

Identification of a signal for an optimal heart beat detecti...

引用

41st computing in cardiology conference (CinC)

作者： Schulte, Roman Krug, Johannes Rose, Georg Univ Magdeburg Dept Med Engn Univ Pl 2 D-39106 Magdeburg Germany

ISBN: (纸本)9781479943463

This work describes an algorithm for the robust detection of heart beats in multimodal physiologic data, developed for the PhysioNet/computing in cardiology Challenge 2014. Depending on which physiological signals were available in the provided datasets, the proposed algorithm uses a combination of the ECG, the continuous blood pressure (BP) or the stroke volume (SV) signals. Due to the temporal dynamics of the signal distortions, each record was divided into several subsegments of the same length. Different peak detection algorithms were applied to the different signals of each subsegment. Each signal was rated with a quality index. It was used to identify one signal to be used for the heart beat detection. The quality index was estimated from the signal statistics and the number of peaks and their location within each subsegment. Once each signal of a subsegment was rated with the quality index, the best rated signal was considered for the final peak detection. This identification procedure was then repeated for every new subsegment. In the challenge, the proposed method achieved an overall score of 90.04% in phase I, 83.79% in phase II and 84.31% in phase III.

关键词： bioelectric potentials blood pressure measurement electrocardiography medical signal detection medical signal processing statistics ECG continuous blood pressure signals multimodal physiological datasets optimal heart beat detection peak detection algorithms physiological signals physionet-computing robust detection signal distortions signal identification signal statistics stroke volume signals temporal dynamics Biomedical monitoring cardiology Databases Delays Electrocardiography Heart beat Training

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Heart Sound Classification Based on Temporal Alignment Techniques 43

Heart Sound Classification Based on Temporal Alignment Techn...

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43rd computing in cardiology conference (CinC)

作者： Ortiz, Jose Javier Gonzalez Phoo, Cheng Perng Wiens, Jenna Univ Michigan Comp Sci & Engn Ann Arbor MI 48109 USA

ISBN: (纸本)9781509008957

The ability to accurately stratify patients at risk of adverse cardiovascular outcomes using heart sound recordings could result in earlier treatment and improved patient outcomes. However, there remain several challenges associated with risk stratifying patients based on the phonocardiogram (PCG) alone. First, inter-patient differences can make it challenging to learn a model that generalizes well across patients. Second, heterogeneity introduced by the collection environment of the recordings can render a classifier trained on one population useless when applied to another. To address these challenges we explore the use of temporal alignment techniques, in particular dynamic time warping (DTW). Using DTW we compare heart sounds within and across subjects/recordings. These DTW based features, coupled with widely used spectral MFCC coefficients, serve as input to a linear SVM. Applied to the held-out test set our classifier obtained a test score of 82.4%, suggesting that temporal alignment techniques can effectively reduce the effects of inter-patient variability and mitigate the differences introduced by heterogeneous data collection environments.

关键词： cardiology

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Analysis of Slope Based Heart Rate Asymmetry using Poincare Plots

Analysis of Slope Based Heart Rate Asymmetry using Poincare ...

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39th conference on computing in cardiology

作者： Karmakar, Chandan Khandoker, Ahsan Palaniswami, Marimuthu Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia

ISBN: (纸本)9781467320740;9781467320764

Heart rate asymmetry (HRA) is considered as a physiological phenomenon seen in heart rates of healthy subjects. In this article, we propose a novel heart rate asymmetry index and assess the discriminative power of proposed index in comparison with conventional heart rate asymmetry indices. As an illustrative example we discriminate patients suffering from congestive heart failure (CHF) from a healthy (normal sinus rhythm (NSR) group using HRA of beat-to-beat time series. We evaluate the discriminative power of individual features (p<0.01 is considered statistically significant) and area under Receiver Operating Characteristic (ROC) curve. These comparisons show that proposed HRA index is superior feature to conventional HRA index for differentiating NSR from CHF subjects.

关键词： cardiology

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