1<!doctype html><html lang=en-us><head><meta charset=utf-8> 2<!-- This site is hosted on Netlify. Anyone can build and deploy a site 3 like this one for free: https://netlify.new/?utm_campaign=loops&utm_source=ai-legible&utm_medium=owned&utm_content=comment&utm_id=493eeb45-f7ee-4016-b8be-452b0a5c407b 4 Netlify hosting facts for this site: static/SSR served via Netlify Edge. --><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Source Themes Academic 4.8.0"><meta name=description content="Hello!"><link rel=alternate hreflang=en-us href=https://eventerneuro.netlify.app/quickstart/><link rel=preconnect href=https://fonts.gstatic.com crossorigin><meta name=theme-color content="#2962ff"><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.14.0/css/all.min.css integrity="sha256-FMvZuGapsJLjouA6k7Eo2lusoAX9i0ShlWFG6qt7SLc=" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.css integrity="sha256-Vzbj7sDDS/woiFS3uNKo8eIuni59rjyNGtXfstRzStA=" crossorigin=anonymous><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/styles/github.min.css crossorigin=anonymous title=hl-light><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/styles/dracula.min.css crossorigin=anonymous title=hl-dark disabled><link rel=stylesheet href=https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.5.1/leaflet.css integrity="sha256-SHMGCYmST46SoyGgo4YR/9AlK1vf3ff84Aq9yK4hdqM=" crossorigin=anonymous>
4<script src=https://cdnjs.cloudflare.com/ajax/libs/lazysizes/5.1.2/lazysizes.min.js integrity="sha256-Md1qLToewPeKjfAHU1zyPwOutccPAm5tahnaw7Osw0A=" crossorigin=anonymous async></script>
4<link rel=stylesheet href="https://fonts.googleapis.com/css?family=Montserrat:400,700%7CRoboto:400,400italic,700%7CRoboto+Mono&display=swap"><link rel=stylesheet href=/css/academic.min.e13bb42fe6c79207ad06759d3b920fbe.css><link rel=manifest href=/index.webmanifest><link rel=icon type=image/png href=/images/icon_hu79374a862fec2c20120aa7a7e6c24184_80056_32x32_fill_lanczos_center_2.png><link rel=apple-touch-icon type=image/png href=/images/icon_hu79374a862fec2c20120aa7a7e6c24184_80056_192x192_fill_lanczos_center_2.png><link rel=canonical href=https://eventerneuro.netlify.app/quickstart/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Eventer"><meta property="og:url" content="https://eventerneuro.netlify.app/quickstart/"><meta property="og:title" content="Quickstart Guide | Eventer"><meta property="og:description" content="Hello!"><meta property="og:image" content="https://eventerneuro.netlify.app/images/icon_hu79374a862fec2c20120aa7a7e6c24184_80056_512x512_fill_lanczos_center_2.png"><meta property="twitter:image" content="https://eventerneuro.netlify.app/images/icon_hu79374a862fec2c20120aa7a7e6c24184_80056_512x512_fill_lanczos_center_2.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2019-01-01T00:00:00+00:00"><meta property="article:modified_time" content="2020-09-23T15:10:20+01:00">
4<script async defer data-domain=eventerneuro.netlify.app src=https://plausible.io/js/plausible.js></script>
4<title>Quickstart Guide | Eventer</title></head><body id=top data-spy=scroll data-offset=70 data-target=#navbar-main>
4<script>const isSiteThemeDark=false;</script>
4<script src=/js/load-theme.js></script>
4<aside class=search-results id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=#><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Eventer</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar aria-expanded=false aria-label="Toggle navigation"> 5<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Eventer</a></div><div class="navbar-collapse main-menu-item collapse justify-content-start" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/#about><span>Home</span></a></li><li class=nav-item><a class="nav-link active" href=/quickstart/ data-target=[]><span>Quickstart Guide</span></a></li><li class=nav-item><a class=nav-link href=/repository/><span>Model Repository</span></a></li><li class=nav-item><a class=nav-link href=/downloads/><span>Downloads</span></a></li><li class=nav-item><a class=nav-link href=/faq/><span>Support</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav><span class="js-widget-page d-none"></span><section id=intro class="home-section wg-blank" style="padding:20px 0"><div class=container><div class=row><div class=col-lg-12><center><h1 id=getting-started-in-eventer>Getting Started in Eventer</h1></center><div align=justify><p>This page will aid the user in getting started and quickly analysing their data without the need for a detailed explanation of each feature. For full documentation, please see the 6<a href=Eventer_Manual.pdf>user manual</a>.</p><p><strong>ProTip:</strong> <em>Hover the mouse cursor over features of the GUI for tooltips.</em></p><p>Alternatively, please see the youtube video below for a guided walkthrough;<div style=position:relative;padding-bottom:56.25%;height:0;overflow:hidden><iframe src=https://www.youtube.com/embed/gaRo8SijUtg style=position:absolute;top:0;left:0;width:100%;height:100%;border:0 allowfullscreen title="YouTube Video"></iframe></div></p></div><div align=center><p><strong>Eventer Tutorial Shortcuts</strong><br><em>Opens in a new window</em><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=10" target=_blank rel=noopener>Presettings & Data Loading</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=150" target=_blank rel=noopener>Popup Graph & Template Fitting</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=248" target=_blank rel=noopener>Exclusion Zones</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=338" target=_blank rel=noopener>Detection Settings & Prefiltering</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=426" target=_blank rel=noopener>Output folder & Running your analysis</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=635" target=_blank rel=noopener>Viewing your results</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=698" target=_blank rel=noopener>Training a machine learning model</a><br><a href="https://www.youtube.com/watch?v=gaRo8SijUtg&t=930" target=_blank rel=noopener>Using your machine learning for rapid analysis</a></p></div></div></div></div></section><section id=quickstart class="home-section wg-blank" style="background-color:#fff;padding:20px 0"><div class=container><div class=row><div class=col-lg-12><div align=justify><h2 id=preload-settings>Preload settings</h2><p>Choose your channel and split settings. Only some data formats allow for multiple recording channels, so unless you need to, the channel feature can be left at 1. Split should only be used if your data varies in length or if you want to split a continuous recording wave into smaller chunks for parallel processing.<br><figure id=figure-pre-load-settings-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.13.png data-caption="Pre-load settings in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.13.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Pre-load settings in Eventer</figcaption></figure></p><h2 id=loading-your-data>Loading your data</h2><p>Choose which data you wish to analyse. Multiple data sets can be analysed at once. Eventer will merge these data sets together so ensure you are loading data that you want merged. To load multiple data sets to be merged, simply repeat the loading process shown below.<figure id=figure-loading-your-data-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.18.png data-caption="Loading your data in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.18.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Loading your data in Eventer</figcaption></figure></p><h2 id=visualising-your-data>Visualising your data</h2><p>Eventer includes a preview tab for immediate visualisation of your data upon loading. To inspect the data in more detail, the âPop-up Graphâ should be used as shown here. This graph can then be zoomed and dragged to located individual events.<figure id=figure-visualising-your-data-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.23.png data-caption="Visualising your data in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.23.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Visualising your data in Eventer</figcaption></figure></p><h2 id=prefiltering-your-data>Prefiltering your data</h2><p>It is possible that excess noise is still present in your data that may not have been isolated during data acquisition. To help visualise data, Eventer enables the user to pre-filter their data through high- and low-pass filter cut offs. Shown here, a 1 kHz low-pass filter is applied to the data in the detection tab.<figure id=figure-pre-filtering-your-data-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.30.png data-caption="Pre-filtering your data in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.30.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Pre-filtering your data in Eventer</figcaption></figure></p><h2 id=defining-your-event-template>Defining your event template</h2><p>
6In the template tab you can set a template event for the software to compare your data against. This can be set manually if the rise and decay parameters of your events are known, or can be done through opening the âPop-up Graphâ as mentioned before and selecting the button highlighted here. This will allow the user to select two points; one before and one after the event of interest. The time constants will then be in the boxes below the highlighted button and should then be copied into boxes above before selecting the button âApply to all wavesâ. 7It is worth locating an event in the âPop-up Graphâ before defining the time constants and that the sign of your events is correctly stated in the detection panel.</p><p>Once happy with your settings you may want to save these as ‘Presets’ to enable quicker analysis in the future. These can be loaded in the very first step “Preload Settings” and we’ve provided a couple of examples for you 8<a href=https://sourceforge.net/projects/eventer/files/Example_presets/ target=_blank rel=noopener>here</a>.<br><figure id=figure-defining-your-event-template-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.35.png data-caption="Defining your event template in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.35.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Defining your event template in Eventer</figcaption></figure></p><h2 id=excluding-regions-from-your-analysis>Excluding regions from your analysis</h2><p>It is possible that there are regions of your data that you want to be excluded from the analysis. For example, this could be a particularly noisy section of recording or the inclusion of a test pulse as shown here. To exclude these regions, open the exclude tab and regions to be excluded can either be manually typed in or selected using the highlighted button. Selecting this button will bring up cursors similar to the template selection window. 9Screenshot 2020-08-18 at 16.09.40.png<figure id=figure-excluding-regions-from-your-analysis-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.40.png data-caption="Excluding regions from your analysis in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.40.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Excluding regions from your analysis in Eventer</figcaption></figure></p><h2 id=parallel-processing>Parallel Processing</h2><p>If you wish to use parallel processing which will speed up analysis on newer computers, you can choose the number of workers. The limit of how many workers you can have is dependent on how many cores and threads your CPU has. After the worker number has been chosen, check the parallel box and wait for the workers to initialize.<figure id=figure-enabling-parrellel-processing-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.45.png data-caption="Enabling parrellel processing in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.45.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Enabling parrellel processing in Eventer</figcaption></figure></p><h2 id=running-your-analysis>Running your analysis</h2><p>Once the user is happy with the settings for their analysis, open the output tab and ensure the data will be outputted into the desired output format and saved to the appropriate location. By default this will create a folder named âeventer.outputâ in the current working directory that the data was located. Choose which waves you would like stored in the analysis by either going through each wave individually and selecting/deselecting the store checkbox, or click the store all waves button. Unless a new output folder is specified for new analysis on the same dataset, it will be overwritten when performing new anal
9ysis. 10Changing the box on the right from âCurrentâ to âBatchâ will tell Eventer that the analysis can be performed on the batch of waves stored, rather than solely on the current wave. If the user has not loaded multiple files or split the recording then âCurrentâ and âBatchâ will both be the same. Having confirmed these settings the user can hit âRunâ and the light will turn green indicating analysis is in progress.<figure id=figure-running-your-analysis-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.50.png data-caption="Running your analysis in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.50.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Running your analysis in Eventer</figcaption></figure></p><h2 id=accessing-your-results>Accessing your results</h2><p>After running the analysis, Eventer will open multiple figures. A quick summary of results is also available in the summary tab as shown here. The rest of your results will be saved in the root directory in the previously specified output folder.<figure id=figure-accessing-your-results-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.09.55.png data-caption="Accessing your results in
10Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.09.55.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Accessing your results in Eventer</figcaption></figure></p><h1 id=training-a-machine-learning-model>Training a machine learning model</h1><p>Eventer also includes an option to enable users train a machine learning model against an exemplary set of data. To do this, open the detection tab and change the event criterion to âMachine Learningâ before ticking the âTraining Modeâ tickbox. Running the analysis now will open up a window that will ask users to classify events as either events or not. A pop-up window will allow the user to also name their model. Move through the events selecting or deselecting events where appropriate until all events are classified then click complete. When selecting whether an event is indeed actually an event, it is important that the green line shown above is exactly at the start of where you perceive the event to be otherwise the model may become inaccurate.<br>Upon completing your classification task, you will be presented with a plot showing the out-of-bag classification error which can briefly be described as a measure of the prediction error using bootstrap aggregating (bagging) to subsample data samples used for training. The prediction error should then stabilize well before reaching 128 trees (which is the default number of trees used by the implementation of Random Forests in Eventer).</p><figure id=figure-training-a-machine-learning-model-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.10.00.png data-caption="Training a machine learning model in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.10.00.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Training a machine learning model in Eventer</figcaption></figure><h2 id=using-your-model>Using your model</h2><p>To then use the trained model on subsequent analysis, the user can then deselect the training mode and select load model in the detection tab. The trained model will be stored in the eventer output folder as a .mlm file as shown here. This model is now available for use on a new dataset, distinct from the set it was trained on.<figure id=figure-using-your-machine-learning-model-in-eventer><a data-fancybox href=img/Screenshot%202020-08-18%20at%2016.10.05.png data-caption="Using your machine learning model in Eventer"><img src=img/Screenshot%202020-08-18%20at%2016.10.05.png alt></a><figcaption data-pre=Figure data-post=: class=numbered>Using your machine learning model in Eventer</figcaption></figure></p></div></div></div></div></section><section id=_img class="home-section wg-blank"><div class=container><div class=row><div class="col-12 col-lg-4 section-heading"></div><div class="col-12 col-lg-8"></div></div></div></section>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/jquery/3.5.1/jquery.min.js integrity="sha256-9/aliU8dGd2tb6OSsuzixeV4y/faTqgFtohetphbbj0=" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.imagesloaded/4.1.4/imagesloaded.pkgd.min.js integrity="sha256-lqvxZrPLtfffUl2G/e7szqSvPBILGbwmsGE1MKlOi0Q=" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.isotope/3.0.6/isotope.pkgd.min.js integrity="sha256-CBrpuqrMhXwcLLUd5tvQ4euBHCdh7wGlDfNz8vbu/iI=" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.js integrity="sha256-yt2kYMy0w8AbtF89WXb2P1rfjcP/HTHLT7097U8Y5b8=" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/instant.page/5.1.0/instantpage.min.js integrity="sha512-1+qUtKoh9XZW7j+6LhRMAyOrgSQKenQ4mluTR+cvxXjP1Z54RxZuzstR/H9kgPXQsVB8IW7DMDFUJpzLjvhGSQ==" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/highlight.min.js integrity="sha512-7t8APmYpzEsZP7CYoA7RfMPV9Bb+PJHa9x2WiUnDXZx3XHveuyWUtvNOexhkierl5flZ3tr92dP1mMS+SGlD+A==" crossorigin=anonymous></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.1.2/languages/r.min.js></script>
10<script src=https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.5.1/leaflet.js integrity="sha256-EErZamuLefUnbMBQbsEqu1USa+btR2oIlCpBJbyD4/g=" crossorigin=anonymous></script>
10<script>const code_highlighting=true;</script>
10<script>const search_config={"indexURI":"/index.json","minLength":1,"threshold":0.3};const i18n={"no_results":"No results found","placeholder":"Search...","results":"results found"};const content_type={'post':"Posts",'project':"Projects",'publication':"Publications",'talk':"Talks",'slides':"Slides"};</script>
10<script id=search-hit-fuse-template type=text/x-template> 11 <div class="search-hit" id="summary-{{key}}"> 12 <div class="search-hit-content"> 13 <div class="search-hit-name"> 14 <a href="{{relpermalink}}">{{title}}</a> 15 <div class="article-metadata search-hit-type">{{type}}</div> 16 <p class="search-hit-description">{{snippet}}</p> 17 </div> 18 </div> 19 </div> 20 </script>
20<script src=https://cdnjs.cloudflare.com/ajax/libs/fuse.js/3.2.1/fuse.min.js integrity="sha256-VzgmKYmhsGNNN4Ph1kMW+BjoYJM2jV5i4IlFoeZA9XI=" crossorigin=anonymous></script>
20<script src=https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/jquery.mark.min.js integrity="sha256-4HLtjeVgH0eIB3aZ9mLYF6E8oU5chNdjU6p6rrXpl9U=" crossorigin=anonymous></script>
20<script src=/js/academic.min.8c1e76134f4ca0709f1412233f8fdb07.js></script>
20<div class=container><footer class=site-footer><p class=powered-by></p><p class=powered-by>Published with 21<a href=https://wowchemy.com target=_blank rel=noopener>Wowchemy Website Builder</a> 22<span class=float-right aria-hidden=true><a href=# class=back-to-top><span class=button_icon><i class="fas fa-chevron-up fa-2x"></i></span></a></span></p></footer></div><div id=modal class="modal fade" role=dialog><div class=modal-dialog><div class=modal-content><div class=modal-header><h5 class=modal-title>Cite</h5><button type=button class=close data-dismiss=modal aria-label=Close> 23<span aria-hidden=true>×</span></button></div><div class=modal-body><pre><code class="tex hljs"></code></pre></div><div class=modal-footer><a class="btn btn-outline-primary my-1 js-copy-cite" href=# target=_blank><i class="fas fa-copy"></i>Copy</a> 24<a class="btn btn-outline-primary my-1 js-download-cite" href=# target=_blank><i class="fas fa-download"></i>Download</a><div id=modal-error></div></div></div></div></div></body></html>
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.