Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Instrumentation Amplifier01:25

Instrumentation Amplifier

1.3K
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
1.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Meet NUM-ENRICH: A Collaborative National Effort to Extend and Harmonize Research Infrastructures Within the German Network University Medicine.

Studies in health technology and informatics·2026
Same author

The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of Care.

Studies in health technology and informatics·2026
Same author

Participatory Technology Assessment in AI Development for Sleep Medicine.

Studies in health technology and informatics·2026
Same author

Utilizing Routine Care Data of Rare Diseases: Challenges, Chances and Call for Collaboration.

Studies in health technology and informatics·2026
Same author

Assessing the Compliance of Nursing Data in a Rehabilitation Portal with the German ePatient Record (ePA) Standard for Nursing Discharges.

Studies in health technology and informatics·2026
Same author

Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA.

BMC medical informatics and decision making·2026

相关实验视频

Updated: May 6, 2026

Echocardiographic Evaluation of Atrial Communications before Transcatheter Closure
07:41

Echocardiographic Evaluation of Atrial Communications before Transcatheter Closure

Published on: February 8, 2022

3.6K

使用DICOMweb和AcuWave软件套件的自动心电图处理的可互操作集成.

Lennart Graf1, Dagmar Krefting1,2, Tibor Kesztyüs1

  • 1Dpt. of Medical Informatics, University Medical Center Göttingen, Germany.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了使用DICOMweb处理心电图 (ECG) 的自动化工作流程,使心血管风险评估更快. 该系统有效地从大型心电图数据集中提取心率参数.

关键词:
临床工作流程迪科姆公司 (DICOM)在DICOMweb上,您可以使用DICOMweb.电心电图是指心电图.

更多相关视频

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
09:31

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography

Published on: January 27, 2023

882
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

734

相关实验视频

Last Updated: May 6, 2026

Echocardiographic Evaluation of Atrial Communications before Transcatheter Closure
07:41

Echocardiographic Evaluation of Atrial Communications before Transcatheter Closure

Published on: February 8, 2022

3.6K
Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
09:31

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography

Published on: January 27, 2023

882
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

734

科学领域:

  • 医疗信息学 医疗信息学
  • 心脏病学 心脏病学
  • 数字健康数字健康

背景情况:

  • 心血管风险评估传统上依赖于结构化的临床数据.
  • 像心电图 (ECG) 这样的生理测量是至关重要的,但由于整合挑战而未得到充分利用.
  • 现有的临床信息系统对心电图数据的整合有限.

研究的目的:

  • 提出和实施用于ECG处理的自动化工作流程.
  • 通过DICOMweb接口将心电图数据集成到临床信息系统中.
  • 为了实现ECG的标准化和有效的转移和分析,用于心血管风险评估.

主要方法:

  • 使用非商业软件 (Orthanc和AcuWave) 开发了一个完全自动化的工作流.
  • 使用DICOMweb接口进行标准化的心电图数据传输.
  • 处理了大约15万个休息心电图,来自一个最大限度护理医院.

主要成果:

  • 自动化工作流成功处理了大量的心电图数据.
  • 与心率相关的参数被有效计算.
  • 在现成的硬件上,单个心电图的平均处理时间约为40毫秒.

结论:

  • 拟议的工作流有助于将心电图数据整合到临床工作流中.
  • 这种方法使得快速和标准化的心电图分析能够改善心血管风险评估.
  • 该系统展示了适合临床环境的高效性能.