云南高校图书馆联盟文献共享服务平台- ARRHYTHMIA

ARRHYTHMIA: 作品数：310被引量：438H指数：10; 导出分析报告; 相关作者：徐智李青曹宏宇郭治彬张翼更多>>; 相关机构：江西医学院第一附属医院复旦大学北京医院中国医科大学附属第一医院更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金河北省自然科学基金更多>>

Analysis of epidemiological characteristics and psychopsychological factors of arrhythmia in the elderly: 《World Journal of Psychiatry》2025年第4期86-94,共9页Hong-Wei Zhang Guo-Dong Chang Xue-Meng Liu Hui Gao Xiu-Dan Xu Su-Ying Lv; BACKGROUND Irregular heart rhythms are a primary manifestation of cardiovascular disease,considerably contributing to global morbidity and mortality rates.Moreover,patients with cardiac arrhythmias often experience a ...; 关键词：Arrhythmia in the elderly Psychopsychological ANXIETY DEPRESSION ELDERLY

A dry-electrode enabled ECG-on-Chip with arrhythmia-aware data transmission: 《Science China(Information Sciences)》2025年第2期334-349,共16页Xinzi XU Yanxing SUO Yang ZHAO Peiyi ZHOU Xiao HAN Qiao CAI Min WANG Jiajun YUAN Liebin ZHAO Yongfu LI Guoxing WANG Yong LIAN; supported in part by National Natural Science Foundation of China(Grant Nos.62350710216,62104145);National Key Research and Development Program of China(Grant No.2019YFB2204500)。; Early detection and treatment of cardiovascular diseases(CVDs)can be significantly enhanced through the use of flexible wearable electrocardiogram(ECG)sensors,potentially reducing CVD-related mortality.This paper intr...; 关键词：ECG flexible dry electrodes analog front-end abnormality detection ASIC wireless transmission

An Arrhythmia Intelligent Recognition Method Based on a Multimodal Information and Spatio-Temporal Hybrid Neural Network Model: 《Computers, Materials & Continua》2025年第2期3443-3465,共23页Xinchao Han Aojun Zhang Runchuan Li Shengya Shen Di Zhang Bo Jin Longfei Mao Linqi Yang Shuqin Zhang; supported by The Henan Province Science and Technology Research Project(242102211046);the Key Scientific Research Project of Higher Education Institutions in Henan Province(25A520039);theNatural Science Foundation project of Zhongyuan Institute of Technology(K2025YB011);the Zhongyuan University of Technology Graduate Education and Teaching Reform Research Project(JG202424).; Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to...; 关键词：Multimodal learning spatio-temporal hybrid graph convolutional network data imbalance ECG classification

Meta Analysis and Cost-effectiveness of Yangxin Dingji Capsule in the Treatment of Tachyarrhythmia: 《Medicinal Plant》2024年第6期45-50,共6页Shiqin ZHANG; [Objectives] To compare the clinical efficacy and cost-effectiveness of Yangxin Dingji capsule in conjunction with conventional Western medicine therapy against the use of conventional Western medicine therapy alone i...; 关键词：Yangxin Dingji capsule ARRHYTHMIA Meta analysis Cost-effectiveness analysis

The accuracy of arrhythmia detection and its clinical significance of intelligent wearable electrocardiogram monitoring devices in asymptomatic myocardial ischemia patients during daily activities.: 《Modern General Practice》2024年第1期30-34,共5页Wang Dongqiang; This study focuses on the accuracy of arrhythmia detection by intelligent wearable electrocardiogram(ECG)monitoring devices in asymptomatic myocardial ischemia patients during daily activities.It elaborates on the tec...; 关键词：Intelligent wearable electrocardiogram monitoring devices Asymptomatic myocardial ischemia Arrhythmia detection Clinical significance Daily activities

Role of voltage-gated potassium channel α subunits in cardiovascular system: 《生理学报》2024年第5期761-774,共14页YANG Jin-Ru HUANG Peng LING Shu-Kuan; Voltage-gated ion channels(VGICs) are central to cellular excitation, orchestrating skeletal and cardiac muscle contractions and enabling neural signal transduction. Among these, voltage-gated potassium(Kv) channels a...; 关键词：cardiovascular disease voltage-gated potassium channels ARRHYTHMIA cardiac remodeling

Automatic Extraction of Medical Latent Variables from ECG Signals Utilizing a Mutual Information-Based Technique and Capsular Neural Networks for Arrhythmia Detection: 《Computers, Materials & Continua》2024年第10期971-983,共13页Abbas Ali Hassan Fardin Abdali-Mohammadi; From a medical perspective,the 12 leads of the heart in an electrocardiogram(ECG)signal have functional dependencies with each other.Therefore,all these leads report different aspects of an arrhythmia.Their difference...; 关键词：Heart diseases electrocardiogram signal signal correlation mutual information capsule neural networks

Mediating function of heart failure in the causal relationship between diastolic blood pressure and hypertensive renal disease with renal failure:a mediated Mendelian randomization study: 《Frontiers of Nursing》2024年第3期285-294,共10页Lei Pang Zi-Jun Ding Hong-Qiang Chai Fei Li Ming Wu Wei-Bing Shuang; supported by the scientific research project of Shanxi Provincial Health Commission(No.2022073)。; Objective:To study the causality relationship between diastolic blood pressure(DBP)and hypertensive renal disease with renal failure(HRDRF)and the mediating role of hear t failure(HF)in the causality relationship by n...; 关键词：atherosclerotic heart disease diastolic blood pressure heart arrhythmia heart failure hypertensive renal disease with renal failure Mendelian randomization

Analysis of clinical characteristics and risk factors for nosocomial mortality in patients with liver cirrhosis combined with atrial arrhythmia: 《China Medical Abstracts(Internal Medicine)》2024年第3期176-176,共1页REN Jieya; Objective To analyze and explore the clinical characteristics and risk factors related to nosocomial mortality in patients with liver cirrhosis combined with atrial arrhythmia.Methods 252 hospitalized patients with li...; 关键词：ARRHYTHMIA clinical PATIENTS

Ensemble Approach Combining Deep Residual Networks and BiGRU with Attention Mechanism for Classification of Heart Arrhythmias: 《Computers, Materials & Continua》2024年第7期341-359,共19页Batyrkhan Omarov Meirzhan Baikuvekov Daniyar Sultan Nurzhan Mukazhanov Madina Suleimenova Maigul Zhekambayeva; supported by the research project—Application of Machine Learning Methods for Early Diagnosis of Pathologies of the Cardiovascular System funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan.Grant No.IRN AP13068289.; This research introduces an innovative ensemble approach,combining Deep Residual Networks(ResNets)and Bidirectional Gated Recurrent Units(BiGRU),augmented with an Attention Mechanism,for the classification of heart ar...; 关键词：CNN BiGRU ensemble deep learning ECG ARRHYTHMIA heart disease

ARRHYTHMIA