当前位置: X-MOL 学术Comput. Sci. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
WaveformECG: A Platform for Visualizing, Annotating, and Analyzing ECG Data
Computing in Science & Engineering ( IF 2.1 ) Pub Date : 2016-09-01 , DOI: 10.1109/mcse.2016.91
Raimond L Winslow 1 , Stephen Granite 1 , Christian Jurado 1
Affiliation  

The electrocardiogram (ECG) is the most commonly collected data in cardiovascular research because of the ease with which it can be measured and the fact that changes in ECG waveforms reflect underlying aspects of heart disease. Despite its ubiquity, there are no open, noncommercial platforms for interactive management, sharing, and analysis of these data. WaveformECG addresses this unmet need. Accessed through a browser, WaveformECG extracts ECGs from vendor files, storing them as a time series with other analysis results and annotations in an open source time-series database. It supports interactive invocation of multiple analysis algorithms on selected ECG datasets, visualization of ECG waveforms, manual annotation of time points and intervals in ECG waveforms, and automated annotation of analysis results using standard medical terminology. Integration with the I2B2 clinical data warehouse system enables bidirectional exchange of data between these two platforms.

中文翻译:

WaveformECG:用于可视化、注释和分析 ECG 数据的平台

心电图 (ECG) 是心血管研究中最常收集的数据,因为它易于测量,而且 ECG 波形的变化反映了心脏病的潜在方面。尽管它无处不在,但没有开放的非商业平台用于交互式管理、共享和分析这些数据。WaveformECG 解决了这一未满足的需求。通过浏览器访问,WaveformECG 从供应商文件中提取心电图,将它们作为时间序列与其他分析结果和注释一起存储在开源时间序列数据库中。它支持在选定的 ECG 数据集上交互式调用多种分析算法、ECG 波形的可视化、ECG 波形中时间点和间隔的手动注释以及使用标准医学术语的分析结果的自动注释。
更新日期:2016-09-01
down
wechat
bug