{"id":2206,"date":"2023-12-20T10:00:37","date_gmt":"2023-12-20T09:00:37","guid":{"rendered":"https:\/\/blog.fh-kaernten.at\/med-tech\/?p=2206"},"modified":"2023-12-20T11:39:35","modified_gmt":"2023-12-20T10:39:35","slug":"brain-computer-interface","status":"publish","type":"post","link":"https:\/\/blog.fh-kaernten.at\/med-tech\/2023\/12\/20\/brain-computer-interface\/","title":{"rendered":"EEG-Based Brain-Computer Interface"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2206\" class=\"elementor elementor-2206\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aeedef4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aeedef4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-718b0fc\" data-id=\"718b0fc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6db9f85 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6db9f85\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Imagine a world where your thoughts can control machines. Sounds like science fiction, doesn&#8217;t it?\u00a0<span style=\"color: var(--sydney-text-color)\">Well, this is exactly what is Ms M\u00fcller&#8217;s bachelor project about.<\/span><\/p><p><span style=\"color: var(--sydney-text-color)\">A Brain-Computer Interface (BCI) is an interface between a human brain and an external device such as a wheelchair, prosthesis, or computer.\u00a0<\/span><span style=\"color: var(--sydney-text-color)\">It enables a human brain to issue commands to these machines, using only its electrical signals.\u00a0<\/span><\/p><p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-2207\" src=\"http:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1.png\" alt=\"\" width=\"618\" height=\"465\" srcset=\"https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1.png 765w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1-300x226.png 300w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1-150x113.png 150w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1-230x173.png 230w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1-350x264.png 350w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture1-480x361.png 480w\" sizes=\"(max-width: 618px) 100vw, 618px\" \/><\/p><p>In this bachelor project, Ms M\u00fcller aimed to classify electroencephalogram (EEG) recordings of two imaginary activities &#8211;\u00a0<span style=\"color: var(--sydney-text-color)\">the imaginary movement of the right hand and of the left hand.\u00a0<\/span><span style=\"color: var(--sydney-text-color)\">She implemented a support vector machine (SVM) to allow real-time classification, with an accuracy of at least 70%.\u00a0<\/span><\/p><p><span style=\"color: var(--sydney-text-color)\"><img decoding=\"async\" class=\"aligncenter wp-image-2208\" src=\"http:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2.png\" alt=\"\" width=\"824\" height=\"323\" srcset=\"https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2.png 1712w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-300x118.png 300w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-1024x401.png 1024w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-150x59.png 150w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-768x301.png 768w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-1536x602.png 1536w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-1000x392.png 1000w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-230x90.png 230w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-350x137.png 350w, https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Picture2-480x188.png 480w\" sizes=\"(max-width: 824px) 100vw, 824px\" \/><\/span><\/p><p><span style=\"color: var(--sydney-text-color)\">Several preprocessing steps such as filtering, epoching, baseline correction, and normalization were applied and two SVM models were trained and tested:<\/span><\/p><ul><li><span style=\"color: var(--sydney-text-color)\">SVM 1 &#8211; discriminating between imaginary motion and no motion (rest)<\/span><\/li><li>SVM 2 &#8211; discriminating between the two imaginary movements<\/li><\/ul><p>The classification models trained by Ms M\u00fcller achieved a high accuracy of 88.09% for discriminating between motion and no motion (rest)\u00a0<span style=\"color: var(--sydney-text-color)\">and 79.76% for discriminating between the two imaginary movements.\u00a0<\/span><span style=\"color: var(--sydney-text-color)\">The combined model achieved 70.26% accuracy, still above the benchmark of 70% required for correct communication via BCI.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-22dd65b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"22dd65b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-7f5da97\" data-id=\"7f5da97\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d4791e4 elementor-widget elementor-widget-image\" data-id=\"d4791e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Project_procedure-e1703067730781.png\" title=\"Project_procedure\" alt=\"Project_procedure\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f4e7d7c\" data-id=\"f4e7d7c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-231dc18 elementor-widget elementor-widget-text-editor\" data-id=\"231dc18\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><div style=\"width: 412px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-2206-1\" width=\"412\" height=\"515\" loop autoplay preload=\"auto\" controls=\"controls\"><source type=\"video\/mp4\" src=\"http:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Video_real_time_classification.mp4?_=1\" \/><a href=\"http:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Video_real_time_classification.mp4\">http:\/\/blog.fh-kaernten.at\/med-tech\/files\/2023\/12\/Video_real_time_classification.mp4<\/a><\/video><\/div><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e5625d6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e5625d6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7d4a22d\" data-id=\"7d4a22d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fb2c78c elementor-widget elementor-widget-text-editor\" data-id=\"fb2c78c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This bachelor project demonstrates the basic principle of brain-computer interface and is one of many future-oriented student projects students can choose from at the MedTech.<\/p><p>Yours,<br \/><span style=\"color: var(--sydney-text-color)\">MedTech @ FH K\u00e4rnten Team<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The bachelor project of Ms M\u00fcller exploits the use of machine learning for real-time classification of two imaginary hand movements recorder with EEG, setting the basis for brain-computer interface. <\/p>\n","protected":false},"author":234,"featured_media":2207,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[13],"tags":[],"class_list":["post-2206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-student-projects"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>EEG-Based Brain-Computer Interface - MedTech @FH 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