[1]王超 张先军 谢清梦 李丹 陈宽琴 李凤 余思芸 曾健 刘建.高海拔地区居民心电图特征的研究进展[J].心血管病学进展,2024,(11):1028.[doi:10.16806/j.cnki.issn.1004-3934.2024.11.015]
 WANG Chao,ZHANG Xianjun,XIE Qingmeng,et al.Electrocardiographic Characteristics of Residents in High Altitude Areas[J].Advances in Cardiovascular Diseases,2024,(11):1028.[doi:10.16806/j.cnki.issn.1004-3934.2024.11.015]
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高海拔地区居民心电图特征的研究进展()
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2024年11期
页码:
1028
栏目:
综述
出版日期:
2024-11-25

文章信息/Info

Title:
Electrocardiographic Characteristics of Residents in High Altitude Areas
作者:
王超2 张先军 2 谢清梦2 李丹 2 陈宽琴2 李凤1 余思芸 1 曾健 1 刘建23
(1.西南交通大学附属医院 成都市第三人民医院老年医学国际医疗中心,四川 成都 610031;2.理塘县人民医院康南急救中心,四川 理塘 624300;3.西南交通大学附属医院 成都市第三人民医院放射科,四川 成都 610031)
Author(s):
WANG Chao12ZHANG Xianjun2XIE Qingmeng2LI Dan2CHEN Kuanqin 2LI Feng1YU Siyun1ZENG Jian1LIU Jian23
(1.Department of Geriatrics International Medical CenterThe Affiliated Hospital of Southwest Jiaotong University, The Third People’s Hospital of ChengduChengdu 610031, Sichuan, China; 2. Kangnan Emergency Center,Litang County People’s Hospital, Litang 624300,Sichuan, China3.Department of Radiology,The Affiliated Hospital of Southwest Jiaotong University, The Third People’s Hospital of ChengduChengdu 610031, Sichuan, China)
关键词:
心电图高海拔心血管系统缺氧人工智能
Keywords:
ElectrocardiographyHigh altitudeCardiovascular systemHypoxiaArtificial intelligence
DOI:
10.16806/j.cnki.issn.1004-3934.2024.11.015
摘要:
目前高海拔环境对区域内居民心电图的影响无系统全面的阐述,是医学研究的热点。长期生活在高海拔地区,人体会通过心血管、呼吸、代谢、神经等生理性变化来适应环境变化。这些适应性的生理变化会使其心电图与平原地区居民的心电图表现不同,主要表现为P波形态改变,QRS波群电轴右偏、右心室肥大、右束支传导阻滞、ST-T波改变、QT间期延长等。影响这些心电图特征的因素包括遗传适应性、海拔高度、个体差异等。目前的研究仍存在方法学的局限性,未来人工智能技术在心电分析中的应用有望早期识别这些心电图特征。
Abstract:
At present,there is no systematic and comprehensive elaboration of the effect of high-altitude environment on the electrocardiography(ECG) of r egional residents,which is a hot spot of medical research. Living at high altitude for a long time,the human body adapts to environmental changes through physiological changes in cardiovascular,respiratory,metabolic and neurological aspects. These adaptive physiological changes will cause the ECG to appear different from that of residents in plain areas,mainly in the form of altered P-wave morphology,rightward deviation of the QRS wave electrical axis,right ventricular hypertrophy manifestations,right bundle-branch block,ST-T wave alterations and prolongation of the QT interval. The factors affecting these ECG features include genetic adaptation,altitude and individual differences. Current studies still have methodological limitations,and the future application of artificial intelligence techniques in ECG analysis is expected to identify these ECG features at an early stage

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更新日期/Last Update: 2024-12-02