当前位置: X-MOL 学术Front. Neuroinform. › 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.)
A Performant Web-Based Visualization, Assessment, and Collaboration Tool for Multidimensional Biosignals
Frontiers in Neuroinformatics ( IF 3.5 ) Pub Date : 2019-09-24 , DOI: 10.3389/fninf.2019.00065
Maximilian Beier 1, 2 , Thomas Penzel 1 , Dagmar Krefting 2, 3
Affiliation  

Biosignal-based research is often multidisciplinary and benefits greatly from multi-site collaboration. This requires appropriate tooling that supports collaboration, is easy to use, and is accessible. However, current software tools do not provide the necessary functionality, usability, and ubiquitous availability. The latter is particularly crucial in environments, such as hospitals, which often restrict users' permissions to install software. This paper introduces a new web-based application for interactive biosignal visualization and assessment. A focus has been placed on performance to allow for handling files of any size. The proposed solution can load local and remote files. It parses data locally on the client, and harmonizes channel labels. The data can then be scored, annotated, pseudonymized and uploaded to a clinical data management system for further analysis. The data and all actions can be interactively shared with a second party. This lowers the barrier to quickly visually examine data, collaborate and make informed decisions.

中文翻译:

用于多维生物信号的基于 Web 的高性能可视化、评估和协作工具

基于生物信号的研究通常是多学科的,并且从多站点协作中受益匪浅。这需要支持协作、易于使用且易于访问的适当工具。然而,当前的软件工具没有提供必要的功能、可用性和无处不在的可用性。后者在医院等环境中尤为重要,因为这些环境通常会限制用户安装软件的权限。本文介绍了一种新的基于网络的交互式生物信号可视化和评估应用程序。重点放在性能上,以允许处理任何大小的文件。建议的解决方案可以加载本地和远程文件。它在客户端本地解析数据,并协调频道标签。然后可以对数据进行评分、注释、化名并上传到临床数据管理系统以供进一步分析。数据和所有操作可以与第二方交互共享。这降低了快速直观地检查数据、协作和做出明智决策的障碍。
更新日期:2019-09-24
down
wechat
bug