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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Physiol. | doi: 10.3389/fphys.2019.00850

Groundtruth: A MATLAB GUI for Artifact and Feature Identification in Physiological signals

 Ganesh R. Naik1, 2*, Gaetano Gargiulo1, 2,  Jorge M. Serrador3, 4 and Paul Breen1, 2
  • 1Western Sydney University, Australia
  • 2The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
  • 3Rutgers Biomedical and Health Sciences, United States
  • 4Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, United States

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.

Keywords: graphical user interface, artifacts, physiological signals, MATLAB, Feature identification, Respiratory rates, Bland–Altman plots

Received: 04 Mar 2019; Accepted: 20 Jun 2019.

Edited by:

Luca Mesin, Polytechnic University of Turin, Italy

Reviewed by:

Guanghao Sun, University of Electro-Communications, Japan
Dr Mohammad H. Imam, American International University-Bangladesh, Bangladesh  

Copyright: © 2019 Naik, Gargiulo, Serrador and Breen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Ganesh R. Naik, Western Sydney University, Penrith, Australia, ganesh.naik@westernsydney.edu.au