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PhysioScripts: An Extensible Open Source Platform for the Processing of Physiological Data

机译:物理仪:一个可扩展的开源平台用于处理生理数据

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摘要

A commonality across research involving physiological measures is the need to process large amounts of data. Such data processing typically involves the use of software tools to achieve several methodological steps, including identifying and correcting artifacts and defining epochs of time for the reduction and analysis of one or more physiological measures. This paper describes a new tool to aide in the processing of physiological data: PhysioScripts. Key elements of PhysioScripts include a graphical interface to view and edit results of processing steps, as well as flexible framework to automate the creation of uniform or variable length epochs. The software is comprised of freely available scripts implemented in the R computing environment. Consequently, PhysioScripts can be readily modified to process other data types through the addition of new subroutines that can be plugged into the existing data processing framework. For illustrative purposes, we describe the steps involved in two data processing examples: 1) heart rate variability from the electrocardiogram and 2) respiratory rate derived from a chest strain gauge. The software, accompanying documentation, and an example data set are available online (/software).
机译:涉及生理测量的研究的共同点是需要处理大量数据。这样的数据处理通常涉及使用软件工具来实现几个方法步骤,包括识别和校正伪像以及定义用于减少和分析一种或多种生理措施的时间段。本文介绍了一种辅助处理生理数据的新工具:PhysioScripts。 PhysioScripts的关键元素包括一个图形界面,用于查看和编辑处理步骤的结果,以及灵活的框架,可以自动创建统一长度或可变长度的纪元。该软件由在R计算环境中实现的免费脚本组成。因此,通过添加可以插入现有数据处理框架的新子例程,可以轻松地将PhysioScripts修改为处理其他数据类型。为了说明的目的,我们描述了两个数据处理示例中涉及的步骤:1)心电图的心率变异性; 2)胸部应变仪得出的呼吸率。该软件,随附的文档和示例数据集可在线获得(/软件)。

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