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作 者:石亚君[1] 宋小武 郜玲[1] 董颖[1] 但晴 王晋丽[1] 陈韵岱[1] SHI Yajun;SONG Xiaowu;GAO Ling;DONG Ying;DAN Qing;WANG Jinli;CHEN Yundai(Department of Cardiology,General Hospital of PLA,Beijing,100853;Department of Health Care,Chinese Ministry of Agriculture,Beijing,100125)
机构地区:[1]解放军总医院心内科,北京市100853 [2]中国农业农村部医疗保健处,北京市100125
出 处:《中国医疗器械杂志》2020年第2期132-135,共4页Chinese Journal of Medical Instrumentation
基 金:北京市科技计划课题(Z181100009518010)。
摘 要:建立场景心电数据库对提升心电图机在不同临床场景下的自动诊断功能具有重要意义。通过对心电场景分类,建立不同医院级别(三级、二级、一级)、不同临床应用环境(急重症病房、门诊、普通病房)数据库。本数据库按不同临床场景各种心电诊断的发生率计算样本量,以10 s十二导联同步心电信号为基础,包括心电波形数据、心电测量特征值、专家诊断心电结果及相关临床信息等。该研究不仅为心电图机厂家在不同临床应用场景下自动诊断功能参数的评价和检测提供重要参考,亦为医学工作者提供了宝贵的科研和教学资源。It is significant to establish scene ECG database which improves the automatic diagnostic function of electrocardiograph under different application scenarios. We built the ECG database in different scene according to the hospital level(grade 3, grade 2, grade 1) and clinical environment(intensive care and acute wards, outpatient clinics and general wards). Sample size was obtained according to the incidence of various ECG diagnoses. The database covers ECG signal, ECG waveform, ECG characteristic values, ECG diagnostic results by experts and clinical information of patients etc. It not only provides important reference for electrocardiograph manufacturers to evaluate and test the parameters of automatic diagnosis under different clinical scene, but also provides valuable scientific research and teaching resources for medical workers.
分 类 号:R318.0[医药卫生—生物医学工程]
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