Event Abstract Back to Event MEG-Clinic: a comprehensive software application to optimize the workflow of clinical MEG data. Elizabeth Bock1* and Sylvain Baillet2 1 Medical College of Wisconsin, United States 2 Medical College of Wisconsin, Froedtert Hospital, United States As the use of MEG becomes more prevalent in the clinical setting, the need for an optimized workflow has become imperative. A comprehensive solution will relieve the reliance on the scientist and physician and move the majority of the workload to automated algorithms and a trained technician. The solution will include a user interface that will guide a technician through the entire workflow, while automating steps to reduce the time to reporting. The current workflow includes data acquisition, data conditioning, data analysis and report generation. MEG-Clinic has been developed as an integrated solution using Java and Matlab. This application manages the patient workflow by organizing and displaying those files associated with each patient, while providing a “wrapper” to several existing software packages that provide for data conditioning and analysis. MEG-Clinic lays out the workflow, step by step. As the technician completes each step, either by launching a manual process or reviewing the results of an automated process, new data are available for analysis and the next steps can be completed. MEG-Clinic is currently being developed for the Elekta-Neuromag System but could be extended to other MEG systems using appropriate file format conversion. Supported software packages include MaxFilter, MNE, Brainvisa, Brainstorm and Prism. Appropriate functions from these packages are called from MEG-Clinic when needed. If the process is automated (MEG-Clinic runs the process in the background and provides an output), the technician will be required to review the outputs. MEG-Clinic automates several steps of data conditioning, including MaxFilter (signal-space separation), artifact removal (ECG, EOG, etc), data averaging for functional protocols and Elekta FDA Source Analysis. In addition to this data conditioning, MEG-Clinic currently interacts with Brainstorm for final analysis and Prism for final reporting. The ongoing development will include integration of additional analysis programs. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: MEG: Clinical applications Citation: Bock E and Baillet S (2010). MEG-Clinic: a comprehensive software application to optimize the workflow of clinical MEG data.. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00279 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 01 Apr 2010; Published Online: 01 Apr 2010. * Correspondence: Elizabeth Bock, Medical College of Wisconsin, Milwaukee, United States, ebock@mcw.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Elizabeth Bock Sylvain Baillet Google Elizabeth Bock Sylvain Baillet Google Scholar Elizabeth Bock Sylvain Baillet PubMed Elizabeth Bock Sylvain Baillet Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.