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地面真值：用于生理信号中伪迹和特征识别的Matlab图形用户界面。

Groundtruth: A Matlab GUI for Artifact and Feature Identification in Physiological Signals.

作者信息

Naik Ganesh R, Gargiulo Gaetano D, Serrador Jorge M, Breen Paul P

机构信息

Biomedical Engineering and Neuromorphic Systems, The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, NSW, Australia.

Rutgers Biomedical and Health Sciences, Newark, NJ, United States.

出版信息

Front Physiol. 2019 Aug 20;10:850. doi: 10.3389/fphys.2019.00850. eCollection 2019.

DOI:10.3389/fphys.2019.00850
PMID:31481893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6710362/
Abstract

Groundtruth is a Matlab Graphical User Interface (GUI) developed for the identification of key features and artifacts within physiological signals. The ultimate aim of this GUI is to provide a simple means of assessing the performance of new sensors. Secondary, to this is providing a means of providing marked data, enabling assessment of automated artifact rejection and feature identification algorithms. With the emergence of new wearable sensor technologies, there is an unmet need for convenient assessment of device performance, and a faster means of assessing new algorithms. The proposed GUI allows interactive marking of artifact regions as well as simultaneous interactive identification of key features, e.g., respiration peaks in respiration signals, R-peaks in Electrocardiography signals, etc. In this paper, we present the base structure of the system, together with an example of its use for two simultaneously worn respiration sensors. The respiration rates are computed for both original as well as artifact removed data and validated using Bland-Altman plots. The respiration rates computed based on the proposed GUI (after artifact removal process) demonstrated consistent results for two respiration sensors after artifact removal process. Groundtruth is customizable, and alternative processing modules are easy to add/remove. Groundtruth is intended for open-source use.

摘要

Groundtruth是一个用Matlab开发的图形用户界面（GUI），用于识别生理信号中的关键特征和伪迹。这个GUI的最终目标是提供一种简单的方法来评估新传感器的性能。其次，是提供一种提供标记数据的方法，以便能够评估自动伪迹去除和特征识别算法。随着新型可穿戴传感器技术的出现，对设备性能进行便捷评估以及评估新算法的更快方法存在未满足的需求。所提出的GUI允许对伪迹区域进行交互式标记，以及同时对关键特征进行交互式识别，例如呼吸信号中的呼吸峰值、心电图信号中的R波峰等。在本文中，我们介绍了该系统的基本结构，并给出了其用于两个同时佩戴的呼吸传感器的使用示例。计算了原始数据以及去除伪迹后的数据的呼吸率，并使用Bland-Altman图进行验证。基于所提出的GUI（在去除伪迹过程之后）计算出的呼吸率在去除伪迹过程后对两个呼吸传感器显示出一致的结果。Groundtruth是可定制的，并且易于添加/删除替代处理模块。Groundtruth旨在用于开源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/67595445cdeb/fphys-10-00850-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/73952c000c41/fphys-10-00850-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/8b0755566c3e/fphys-10-00850-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/bc0046c7214a/fphys-10-00850-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/53a9663a1b27/fphys-10-00850-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/59cca20679fe/fphys-10-00850-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/c4bf78cfff6e/fphys-10-00850-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/7ad82c5d7fb5/fphys-10-00850-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/d354b6b502b8/fphys-10-00850-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/c68d7ccbd7d0/fphys-10-00850-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/67595445cdeb/fphys-10-00850-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/73952c000c41/fphys-10-00850-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/f1c524aba9b4/fphys-10-00850-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/b4b5393b38d4/fphys-10-00850-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/f8104e13d630/fphys-10-00850-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/8b0755566c3e/fphys-10-00850-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/bc0046c7214a/fphys-10-00850-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/53a9663a1b27/fphys-10-00850-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/59cca20679fe/fphys-10-00850-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/c4bf78cfff6e/fphys-10-00850-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/7ad82c5d7fb5/fphys-10-00850-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/d354b6b502b8/fphys-10-00850-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/c68d7ccbd7d0/fphys-10-00850-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e08/6710362/67595445cdeb/fphys-10-00850-g013.jpg

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