Detection of heart disorders using an advanced intelligent swarm algorithm

Moein Sara; Logeswaran Rajasvaran; Fauzi Mohammad Faizal bin Ahmad

首页> 外文期刊>Intelligent automation and soft computing >Detection of heart disorders using an advanced intelligent swarm algorithm

【24h】

Detection of heart disorders using an advanced intelligent swarm algorithm

机译：使用先进的智能群算法检测心脏病

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Electrocardiogram (ECG) is a well-known diagnostic tool, which is applied by cardiologists to diagnose cardiac disorders. Despite the simple shape of the ECG, various informative measures are included in each recording, which causes complexity for cardiac specialists to recognize the heart problem. Recent studies have concentrated on designing automatic decision-making systems to assist physicians in ECG interpretation and detecting the disorders using ECG signals. This paper applies one optimization algorithm known as Kinetic Gas Molecule Optimization (KGMO) that is based on swarm behavior of gas molecules to train a feedforward neural network for classification of ECG signals. Five types of ECG signals are used in this work including normal, supraventricular, brunch bundle block, anterior myocardial infarction (Anterior MI), and interior myocardial infarction (Interior MI). The classification performance of the proposed KGMO neural network (KGMONN) was evaluated on the Physiobank database and compared against conventional algorithms. The obtained results show the proposed neural network outperformed the Particle Swarm Optimization (PSO) and back propagation (BP) neural networks, with the accuracy of 0.85 and a Mean Square Error (MSE) of less than 20% for the training and test sets. The swarm based KGMONN provides a successful approach for detection of heart disorders with efficient performance.

机译：心电图（ECG）是众所周知的诊断工具，心脏病专家将其用于诊断心脏疾病。尽管ECG的形状简单，但每次记录中都包含了各种信息量度，这使心脏专家难以识别心脏问题。最近的研究集中在设计自动决策系统上，以帮助医生进行心电图解释和使用心电图信号检测疾病。本文应用一种称为动力学气体分子优化（KGMO）的优化算法，该算法基于气体分子的群行为来训练用于对ECG信号进行分类的前馈神经网络。在这项工作中使用了五种类型的ECG信号，包括正常，室上，早午餐束传导阻滞，前部心肌梗塞（Anterior MI）和内部心肌梗塞（Interior MI）。拟议的KGMO神经网络（KGMONN）的分类性能在Physiobank数据库上进行了评估，并与常规算法进行了比较。获得的结果表明，所提出的神经网络优于粒子群优化（PSO）和反向传播（BP）神经网络，在训练和测试集上的准确性为0.85，均方误差（MSE）小于20％。基于群体的KGMONN为高效检测心脏病提供了一种成功的方法。

著录项

来源
《Intelligent automation and soft computing》 |2017年第3期|419-424|共6页
作者
Moein Sara; Logeswaran Rajasvaran; Fauzi Mohammad Faizal bin Ahmad;
展开▼
作者单位

Mt Sinai Sch Med, Dept Genet & Genom Sci, New York, NY 10029 USA;

Asia Pacific Univ Technol & Innovat, Sch Postgrad Studies, Kuala Lumpur, Malaysia;

Multimedia Univ, Fac Engn, Cyberjaya, Malaysia;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Kinetic energy of gas molecules; Kinetic Gas Molecule Optimization Neural Network (KGMONN); optimization; classification; Electrocardiogram (ECG); convergence;

机译：气体分子动能;运动气体分子优化神经网络（KGMONN）;优化;分类;心电图（ECG）;收敛;

相似文献

外文文献
中文文献
专利

1. A Novel Approach of Congestion Management in Deregulated Power System Using an Advanced and Intelligently Trained Twin Extremity Chaotic Map Adaptive Particle Swarm Optimization Algorithm [J] . Batra Indu, Ghosh Smarajit Arabian Journal for Science and Engineering. Section A, Sciences . 2019,第8期

机译：基于高级智能训练的双末端混沌映射自适应粒子群优化算法的电力系统去电拥塞管理新方法
2. A Novel Approach of Congestion Management in Deregulated Power System Using an Advanced and Intelligently Trained Twin Extremity Chaotic Map Adaptive Particle Swarm Optimization Algorithm [J] . Batra Indu, Ghosh Smarajit Arabian Journal for Science and Engineering. Section A, Sciences . 2019,第8期

机译：一种新的探测电力系统拥堵管理方法，采用先进智能训练的双肢混沌映射自适应粒子群优化算法
3. An intelligent target detection method of UAV swarms based on improved KM algorithm [J] . Xiangming ZHENG, Chunyao MA 中国航空学报（英文版） . 2021,第002期

机译：基于改进的KM算法的UAV群智能目标检测方法
4. Heart Disorder Detection with Menard Algorithm on Apache Spark [C] . Lorenzo Carnevale, Antonio Celesti, Maria Fazio, European Conference on Service-Oriented and Cloud Computing . 2017

机译：基于Apache Spark的Menard算法进行心脏疾病检测
5. Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization [D] . Tan, Teck Yan. 2019

机译：智能皮肤癌检测使用增强粒子群优化
6. Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm HeartLogic [O] . Michelle Feijen, Anastasia D. Egorova, Saskia L. M. A. Beeres, 2021

机译：先进心力衰竭患者的液体保留的早期检测：一种新型多思算法心灵算法综述
7. MODERATED EPOSTERS1385Longitudinal strain assessment in dilated cardiomyopathy patients using a novel accelerated DENSE sequence1407Simultaneous T1 and T2 cardiac quantification with CABIRIA: initial clinical experience1423Head-to-head comparison of acceleration algorithms in 4-dimensional flow CMR1502Left ventricular function and size evaluated by hybrid cardiac positron emission tomography-magnetic resonance: Intraindividual comparison of left ventricular ejection fraction and ventricular volumes derived by two modalities1510Left Atrium assessed by Cardiovascular Magnetic Resonance at 1.5 and 3 Tesla – age and gender effects1514Comparison of Free Breathing Cardiac MRI Radial technique to the Standard Multi breath-hold cine SSFP CMR technique for the assessment of LV Volumes and Function1536Self-navigated free-breathing isotropic 3D whole heart phase sensitive inversion recovery magnetic resonance without navigator for detection of myocardial infarction1547Assessment of Right Ventricular Strain Using Myocardial Deformation Recovery Semi Automated Technique: Initial Experience and Normal Values1586Tissue tracking myocardial deformation analysis and prediction of left ventricular remodeling in acute myocardial infarction1589Investigating strategies for optimal 31P MRS clinical cardiac at 3T: Initial Results1620Quantitative Criteria for the Diagnosis of the Congenital Absence of Pericardium by Cardiac Magnetic Resonance1632Widespread tissue injury during acute myocardial infarction: evidence from advanced CMR relaxometry1322Computed tomography coronary angiography verSus sTRess cArdiac magneTic rEsonance for the manaGement of sYmptomatic revascularized patients: a cost effectiveness study (STRATEGY study)1339Comparison of low- versus high-dose of gadobutrol for late gadolinium enhancement imaging at 1.5 Tesla: a clinical feasibility study1347Multi-parametric Cardiac Magnetic Resonance for Prediction of Cardiac Complications in Thalassemia Intermedia: a Prospective Multicenter Study1461Prognostic value of Cardiovascular Magnetic Resonance derived indexes of myocardial fibrosis in heart transplant recipients1523The role of CMR in the acute phase of hospitalization: changing paradigms1542Preoperative CMR-based score predict ventricular response after surgical left ventricular reconstruction in ischemic heart failure patients1555Excellent response rate to cardiac resynchronization therapy guided with magnetic resonance imaging1626The ECG as a predictor of arrhythmogenic substrate on Cardiac Magnetic Resonance Imaging in patients undergoing ablation for premature ventricular contractions1649Comparison of T1-mapping at 3.0T CMR and angiographic APPROACH score for area at risk assessment in ST-segment elevation myocardial infarction1340Pathological correlates of left bundle branch disease in patients with non-ischemic cardiomyopathy: a cardiovascular magnetic resonance study1342Myocardial remodelling and fibrosis in nonischaemic dilated cardiomyopathy: insights from cardiovascular magnetic resonance1411The association between fibrosis and contractile dysfunction in hypertrophic cardiomyopathy assessed by cardiovascular magnetic resonance1622Persistent myocardial inflammation due to intramyocardial haemorrhage in reperfused STEMI as a precursor to adverse LV remodelling - insights from multi-parametric mapping1566Semiquantitative analysis of low and high b value DWI for detecting myocardial edema in acute myocarditis1567Value of Cardiac MRI In Detecting Coronary Artery Disease In Newly Diagnosed Systolic Dysfunction1570Usefulness of cardiac magnetic resonance in tuberous sclerosis complex1578Papillary muscles offer further insight into hypertrophied hearts: a cardiovascular magnetic resonance study1627Diagnostic and clinical implications of CMR timing (early versus late) in patients with troponin positive acute coronary syndromes and unobstructed coronary arteries: Table 1. [O] . Upasana Tayal, Alexandros Kallifatidis, P. Garg, 2016

机译：在使用新的扩张型心肌病的患者缓和EPOSTERS1385Longitudinal应变评估加速DENSE sequence1407Simultaneous T1和T2与CABIRIA心脏定量：在4维流动的加速算法初始临床experience1423Head对头比较CMR1502Left心室功能和尺寸由混合心脏正电子发射断层摄影术评价 - 磁性共振：由两个modalities1510Left庭派生左室射血分数和心室体积的个体间的比较，在1.5和3特斯拉评估心血管磁共振 - 免费的年龄和性别effects1514Comparison呼吸心脏MRI径向技术标准的多屏气电影SSFP CMR技术的LV卷和Function1536Self-导航自由呼吸各向同性3D整个心脏相位敏感反转恢复磁共振导航仪没有检测右Ventricu心肌infarction1547Assessment的评估拉尔菌株使用心肌变形恢复半自动技术：初步经验和正常Values1586Tissue跟踪心肌变形分析和预测左室重构急性心肌infarction1589Investigating策略优化31P MRS临床心脏在3T：初始Results1620Quantitative标准的先天缺失的诊断心包心脏磁Resonance1632Widespread组织损伤急性心肌梗死时：证据先进CMR relaxometry1322Computed CT冠状动脉成像与压力心脏磁共振对症的管理吻合血管患者：成本效益研究（战略研究）1339Comparison低与高剂量钆布醇在1.5特斯拉晚钆增强成像的临床可行性，在中间型地贫心脏并发症的预测study1347Multi参数心脏核磁共振的前瞻性德穆尔心血管磁共振的ticenter Study1461Prognostic价值衍生心肌纤维化指标在住院的急性期CMR的心脏移植recipients1523The作用：改变基于CMR-paradigms1542Preoperative比分预测缺血性心脏衰竭patients1555Excellent响应速度外科左心室重建心脏再同步化后心室反应治疗与磁共振imaging1626The ECG导引作为心脏磁共振成像致心律失常性基板的在ST段抬高心肌infarction1340Pathological在风险评估经历在3.0T CMR T1映射的室性早搏contractions1649Comparison和血管造影APPROACH分数区域消融患者的预测左束支传导疾病的患者与非缺血性心肌病相关因素：心血管磁共振study1342Myocardial重塑和纤维化nonischaemic扩张型心肌病：在从在由心血管磁性resonance1622Persistent心肌炎症评估肥厚型心肌病的纤维化和收缩功能障碍之间心血管磁性resonance1411The协会由于心肌内出血景点在再灌注STEMI为先导，以不利的LV重塑 - 从低的多参数mapping1566Semiquantitative分析和高的b值DWI的见解为在心脏MRI检测冠状动脉疾病急性myocarditis1567Value在结节性硬化症complex1578Papillary肌肉初诊收缩期Dysfunction1570Usefulness心脏磁共振检测心肌水肿提供进一步的深入了解肥大心脏：心血管磁共振study1627Diagnostic和CMR定时的临床意义（早期与晚）患者肌钙蛋白阳性的急性冠脉综合征和通畅的冠状动脉：表1。

Detection of heart disorders using an advanced intelligent swarm algorithm

摘要

著录项

相似文献

相关主题

期刊订阅