Journal of Shandong University (Health Sciences) ›› 2026, Vol. 64 ›› Issue (4): 1-7.doi: 10.6040/j.issn.1671-7554.0.2025.1583

• Expert Consensus •    

Expert consensus on standardized electrocardiogram reporting(2026)

Electrocardiography Branch of Shandong Medical AssociationElectrocardiography Branch of Shandong Society of Medical Ethics   

  • Published:2026-04-09

Abstract: Electrocardiography is one of the most widely used non-invasive techniques for cardiac evaluation in clinical practice. However, substantial variation exists in the format, diagnostic terminology, and structural hierarchy of electrocardiogram(ECG)reports across medical institutions at different levels in China. This phenomenon—often described as “different reports for the same ECG”—poses significant challenges for clinical diagnosis and treatment, medical education, and scientific research. To promote the standardization, normalization, and homogenization of electrocardiogram diagnostic reports in China, the Electrocardiography Branch of Shandong Medical Association orga-nized experts from relevant fields to develop this expert consensus. The consensus was formulated through a comprehensive review of domestic and international literature and guidelines, combined with clinical practice in China. It systema-tically addresses key considerations in electrocardiogram data acquisition, clarifies the basic structure and essential elements of ECG reports, and standardizes diagnostic terminology and hierarchical organization for normal and abnormal electrocardiograms. Particular emphasis is placed on diagnostic features specific to pediatric electrocardiograms. In addition, the consensus discusses the standardized application of artificial intelligence-assisted ECG interpretation and outlines potential working models for wearable device integration. The objective is to provide scientific and practical guidance for electrocardiogram report writing, thereby enhancing the clinical diagnostic value of electrocardiography.

Key words: Electrocardiogram, Standardized reporting, Diagnostic terminology, Normalization, Homogenization

CLC Number: 

  • R540.4+1
[1] Zimmerman FH. A brief history of clinical electrocardiography: a century after Einthovens Nobel prize[J]. Cardiol Rev, 2026, 34(2): 178-185.
[2] Schuijt E, Scherr D, Plank G, et al. Evolution in electrophysiology 100 years after Einthoven: translational and computational innovations in rhythm control of atrial fibrillation[J]. Europace, 2024, 27: euae304. doi:10.1093/europace/euae304
[3] 全军心血管专业委员会心脏无创检测学组《心电图诊断术语规范化中国专家共识(2019)》编写专家组. 心电图诊断术语规范化中国专家共识(2019)[J].实用心电学杂志, 2019, 28(3): 161-165.
[4] 浙江省医学会心电生理与起搏分会无创心电学组. 浙江省心电图诊断术语规范化建议(试用版)[J]. 心电与循环, 2023, 42(4): 331-333.
[5] Blomström-Lundqvist C, Scheinman MM, Aliot EM, et al. ACC/AHA/ESC guidelines for the management of patients with supraventricular arrhythmias: executive summary. a report of the American college of cardiology/American heart association task force on practice guidelines and the European society of cardiology committee for practice guidelines(writing committee to develop guidelines for the management of patients with supraventricular arrhythmias)developed in collaboration with NASPE-Heart Rhythm Society[J]. J Am Coll Cardiol, 2003, 42(8): 1493-1531.
[6] Calkins H. The 2019 ESC guidelines for the management of patients with supraventricular tachycardia[J]. Eur Heart J, 2019, 40(47): 3812-3813.
[7] Deyell MW, AbdelWahab A, Angaran P, et al. 2020 Canadian cardiovascular society/Canadian heart rhythm society position statement on the management of ventricular tachycardia and fibrillation in patients with structural heart disease[J]. Can J Cardiol, 2020, 36(6): 822-836.
[8] Al-Khatib SM, Stevenson WG, Ackerman MJ, et al. 2017 AHA/ACC/HRS guideline for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines and the Heart Rhythm Society[J]. J Am Coll Cardiol, 2018, 72(14): 91-220.
[9] 浙江省医学会心电生理与起搏分会无创心电学组. 浙江省动态心电图检查操作及诊断书写规范(试用版)[J]. 浙江医学, 2016, 38(12): 903-905.
[10] 曹克将, 陈柯萍, 陈明龙, 等. 2020室性心律失常中国专家共识(2016共识升级版)[J]. 中国心脏起搏与心电生理杂志, 2020, 34(3): 189-253.
[11] 徐春芳, 吴杰, 陆再英, 等. 中国人群心电图T波参数正常范围的调查[J]. 中国心脏起搏与心电生理杂志, 2004, 18(5): 362-365. XU Chunfang, WU Jie, LU Zaiying, et al. Normal limits of T-wave measurements in Chinese subjects[J]. The Chinese Journal of Cardiac Pacing and Electrophysiology, 2004, 18(5): 362-365.
[12] 何方田, 王慧, 谢玮, 等. 浙江省起搏心电图诊断书写规范(试用版)[C] //浙江省医学会心电与起搏学术分会. 2016年浙江省医学会心电生理与起搏学术年会论文汇编. 浙江省医学会心电生理与起搏分会无创心电学组, 2016: 22-24.
[13] 牟延光. 心脏起搏心电图学[M]. 济南: 山东科学技术出版社, 2024.
[14] 李娟, 李晓敏, 张伟, 等. 健康新生儿心电图正常参考值范围研究[J]. 实用心电学杂志, 2023, 32(2): 107-114. LI Juan, LI Xiaomin, ZHANG Wei, et al. Study on normal reference range of electrocardiogram in healthy neonates[J]. Journal of Practical Electrocardiology, 2023, 32(2): 107-114.
[15] 徐海燕, 刘星, 成玉娣, 等. 浙江省小儿窦性心率正常参考值的多中心研究[J]. 心电与循环, 2023, 42(4): 354-357. XU Haiyan, LIU Xing, CHENG Yudi, et al. A multi-center study on normal reference value of sinus heart rate in children in Zhejiang Province[J]. Journal of Electrocardiology and Circulation, 2023, 42(4): 354-357.
[16] 沈定荣, 姜大明, 金晨, 等. 8 016名健康儿童心电图分析[J]. 新医学, 2017, 48(8): 535-540. SHEN Dingrong, JIANG Daming, JIN Chen, et al. Electrocardiography of 8,016 healthy infants and children[J]. Journal of New Medicine, 2017, 48(8): 535-540.
[17] Goodacre S, McLeod K. ABC of clinical electrocardiography: paediatric electrocardiography[J]. BMJ(Clinical Research ed), 2002, 324(7350): 1382-1385.
[18] 刘星, 徐海燕, 成玉娣, 等. 浙江省小儿常规心电图诊断规范(第1版)[J]. 心电与循环, 2024, 43(3): 211-213.
[19] Rijnbeek PR, Witsenburg M, Schrama E, et al. New normal limits for the paediatric electrocardiogram[J]. Eur Heart J, 2001, 22(8): 702-711.
[20] Ansari RA, Bandyopadhyay S, Trivedi RK, et al. Deep learning-based continuous QT monitoring to identify high-risk prolongation events after class III antiarrhythmic initiation[J]. Circulation, 2026, 153(1): 35-46.
[21] Adedinsewo DA, Morales-Lara AC, Afolabi BB, et al. Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial[J]. Nat Med, 2024, 30(10): 2897-2906.
[22] Lee E, Ito S, Miranda WR, et al. Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure[J]. NPJ Digit Med, 2024, 7(1): 4. doi:10.1038/s41746-023-00993-7
[23] Lin CS, Liu WT, Chen YH, et al. Artificial intelligence-enabled electrocardiography from scientific research to clinical application[J]. EMBO Mol Med, 2026, 18(1): 22-40.
[24] de Alencar Neto JN, Scheffer MK, Correia BP, et al. Systematic review and meta-analysis of diagnostic test accuracy of ST-segment elevation for acute coronary occlusion[J]. Int J Cardiol, 2024, 402: 131889. doi:10.1016/j.ijcard.2024.131889
[25] 罗玮敏, 雷蕾. 心电诊断医师视角下的心电图危急值应用与修订[J]. 实用心电与临床诊疗, 2025, 34(3): 404-408. LUO Weimin, LEI Lei. Application and revision of critical electrocardiogram values: from perspectives of electrocardiogram diagnosticians[J]. Practical Electrocardiology and Clinical Treatment, 2025, 34(3): 404-408.
[26] Chang DW, Lin CS, Tsao TP, et al. Detecting digoxin toxicity by artificial intelligence-assisted electrocardiography[J]. Int J Environ Res Public Health, 2021, 18(7): 3839. doi:10.3390/ijerph18073839
[27] Guo BR, Gu F, Zhang ZH, et al. PVCsNet: a specia-lized artificial intelligence-based model to classify premature ventricular contractions from ECG images[J]. IEEE J Biomed Health Inform, 2025, 29(9): 6463-6473.
[28] Siontis KC, Noseworthy PA, Attia ZI, et al. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management[J]. Nat Rev Cardiol, 2021, 18(7): 465-478.
[29] Lin C, Chau T, Lin CS, et al. Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction[J]. NPJ Digit Med, 2022, 5(1): 8. doi:10.1038/s41746-021-00550-0
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