{"id":2916,"date":"2025-09-02T16:56:02","date_gmt":"2025-09-02T14:56:02","guid":{"rendered":"https:\/\/www.ki-fortschrittszentrum.de\/?post_type=projekt&#038;p=2916"},"modified":"2026-03-09T15:48:39","modified_gmt":"2026-03-09T14:48:39","slug":"eegauai","status":"publish","type":"projekt","link":"https:\/\/www.ki-fortschrittszentrum.de\/en\/projekt\/eegauai\/","title":{"rendered":"EEGAUAI - EEG Analysis Using Artificial Intelligence"},"content":{"rendered":"<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-86663cd stk-block-background stk--has-background-overlay\" data-block-id=\"86663cd\"><style>.stk-86663cd {background-image:url(https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Teaser.png) !important;min-height:520px !important;align-items:flex-end !important;padding-bottom:0px !important;margin-bottom:0px !important;display:flex !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-86663cd-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-5a28863\" data-v=\"4\" data-block-id=\"5a28863\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-5a28863-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-5a28863-inner-blocks\">\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-3e4895d\" data-block-id=\"3e4895d\"><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-3e4895d-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a094f1e\" data-v=\"4\" data-block-id=\"a094f1e\"><style>@media screen and (min-width:690px){.stk-a094f1e {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a094f1e-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a094f1e-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-ba57710\" data-v=\"4\" data-block-id=\"ba57710\"><style>@media screen and (min-width:690px){.stk-ba57710 {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-ba57710-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-ba57710-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-4764f29 stk-block-background\" data-v=\"4\" data-block-id=\"4764f29\"><style>.stk-4764f29 {align-self:flex-end !important;background-color:var(--theme-palette-color-8, #ffffff) !important;padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;}.stk-4764f29-inner-blocks{justify-content:flex-end !important;}.stk-4764f29:before{background-color:var(--theme-palette-color-8, #ffffff) !important;}@media screen and (min-width:690px){.stk-4764f29 {flex:var(--stk-flex-grow, 1) 1 calc(40% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-4764f29-container stk--no-background stk--no-padding\"><div class=\"stk--column-flex stk-block-content stk-inner-blocks stk-4764f29-inner-blocks\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1fa6a74\" id=\"gspb_container-id-gsbp-1fa6a74\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-be1fdb3\" data-block-id=\"be1fdb3\"><style>.stk-be1fdb3 {padding-top:0px !important;padding-bottom:12px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;color:#ffffff80 !important;}@media screen and (max-width:999px){.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Contact at the AI Innovation Center<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-24ffa5e\" data-block-id=\"24ffa5e\"><style>.stk-24ffa5e {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-24ffa5e .stk-block-text__text{font-size:15px !important;color:#ffffff !important;}@media screen and (max-width:999px){.stk-24ffa5e .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Mathias Vukelic<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-af007b4\" data-block-id=\"af007b4\"><style>.stk-af007b4 {padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;margin-top:0px !important;margin-right:0px !important;margin-bottom:0px !important;margin-left:0px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button is-style-plain stk-block stk-1cf8bea\" data-block-id=\"1cf8bea\"><style>.stk-1cf8bea .stk-button{padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;background:transparent !important;}.stk-1cf8bea .stk-button:hover:after{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-1cf8bea .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;color:var(--theme-palette-color-8, #ffffff) !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;}}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"mailto:mathias.vukelic@iao.fraunhofer.de\" title=\"mathias.vukelic@iao.fraunhofer.de\"><span class=\"has-text-color stk-button__inner-text\">mathias.vukelic@iao.fraunhofer.de<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-spacer stk-block-spacer stk--no-padding stk-block stk-56a43b6\" data-block-id=\"56a43b6\"><\/div>\n\n\n\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-fc04401\" data-block-id=\"fc04401\"><style>.stk-fc04401 {padding-right:24px !important;padding-left:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-fc04401-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a194320\" data-v=\"4\" data-block-id=\"a194320\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a194320-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a194320-inner-blocks\"><div data-block=\"hook:1248\" class=\"alignfull\"><article id=\"post-1248\" class=\"post-1248\"><div class=\"entry-content is-layout-constrained\">\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-fcd1a8a\" data-block-id=\"fcd1a8a\"><style>.stk-fcd1a8a {margin-bottom:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-icon-button stk-block-icon-button stk-block stk-82470ba is-style-ghost\" data-block-id=\"82470ba\"><style>.stk-82470ba .stk-button{background:transparent !important;}.stk-82470ba .stk-button:hover{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-82470ba .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-82470ba .stk-button:before{border-style:solid !important;border-color:var(--theme-palette-color-9, #264e5d) !important;}.stk-82470ba .stk-button .stk--inner-svg svg:last-child, .stk-82470ba .stk-button .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-11, #006e92) !important;}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"javascript:window.history.back();\" title=\"Back\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path d=\"M9.4 233.4c-12.5 12.5-12.5 32.8 0 45.3l128 128c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L109.3 288 480 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-370.7 0 73.4-73.4c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-128 128z\"><\/path><\/svg><\/div><\/span><\/a><\/div>\n<\/div><\/div>\n<\/div><\/article><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-5cbd537\" id=\"quick-check\" data-block-id=\"5cbd537\"><style>.stk-5cbd537 {margin-bottom:0px !important;}<\/style><h1 class=\"stk-block-heading__text\">EEGAUAI - EEG Analysis Using Artificial Intelligence<\/h1><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-label stk-block-icon-label stk-block stk-9c593c0\" id=\"quick-check\" data-block-id=\"9c593c0\"><style>.stk-9c593c0 .stk-inner-blocks{gap:8px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content\">\n<div class=\"wp-block-stackable-icon stk-block-icon has-text-align-left stk-block stk-624347f\" data-block-id=\"624347f\"><style>.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child{height:16px !important;width:16px !important;}.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child, .stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-10, #25bae2) !important;}<\/style><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg style=\"height:0;width:0\"><defs><lineargradient id=\"linear-gradient-624347f\" x1=\"0\" x2=\"100%\" y1=\"0\" y2=\"0\"><stop offset=\"0%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-1)\"><\/stop><stop offset=\"100%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-2)\"><\/stop><\/lineargradient><\/defs><\/svg><svg data-prefix=\"fa\" data-icon=\"star\" class=\"svg-inline--fa fa-star fa-w-18\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 576 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path fill=\"currentColor\" d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg><\/div><\/span><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-cdc2d3f\" id=\"span-data-stk-dynamic-current-page-post-taxonomy-term-projektformat-contenteditable-false-class-stk-dynamic-content-post-taxonomy-placeholder-span\" data-block-id=\"cdc2d3f\"><p class=\"stk-block-heading__text\">Exploring Project<\/p><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-c21bed1\" id=\"ausgangssituation\" data-block-id=\"c21bed1\"><h2 class=\"stk-block-heading__text\">Initial situation<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-65e3563\" data-block-id=\"65e3563\"><style>.stk-65e3563 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">Ensuring an objective assessment and reliable determination of medical and psychological reports is of considerable financial and social importance. Such reports are usually prepared on behalf of courts, authorities and (social) insurance providers in order to examine test persons with regard to their entitlement to benefits and correct social insurance care (e.g. after accidents or in the event of illness). To date, no efforts have been made to integrate objective electrophysiological data and AI-supported solution approaches into validation tests for complaints.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-8c26049\" id=\"losungsidee\" data-block-id=\"8c26049\"><h2 class=\"stk-block-heading__text\">Solution idea<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-ab6a506\" data-block-id=\"ab6a506\"><style>.stk-ab6a506 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">It is proposed to use electrophysiological measurements (EEG) to assess the willingness of test subjects to exert effort in expert evaluation situations. Signal analysis algorithms and AI methods (machine learning) are to be developed and implemented in order to enable an automated software pipeline for signal cleansing and objective classification of the willingness to exert effort.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-2fa484b\" data-block-id=\"2fa484b\"><style>.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}@media screen and (max-width:999px){.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2922\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-scaled.jpg\" width=\"2560\" height=\"1042\" alt=\"KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-scaled.jpg 2560w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-400x163.jpg 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-698x284.jpg 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-768x313.jpg 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-1536x625.jpg 1536w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-2048x834.jpg 2048w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/09\/KI-Fortschrittszentrum_333_EP_EEGAUAI_Abb1-18x7.jpg 18w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 1: Fraunhofer IAO<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-76475ee\" id=\"nutzen\" data-block-id=\"76475ee\"><h2 class=\"stk-block-heading__text\">Benefit<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-3e86ca0\" data-block-id=\"3e86ca0\"><p class=\"stk-block-text__text\">Our aim is to provide objective methods for determining and classifying the willingness to make an effort in medical and psychological assessments in future, which comply with the applicable legal and psychological-medical standards. Ensuring valid medical and psychological assessments is of considerable financial and social importance in order to secure benefit entitlements and guarantee appropriate social security provision.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-1e747a7\" id=\"umsetzung-der-ki-applikation\" data-block-id=\"1e747a7\"><h2 class=\"stk-block-heading__text\">Implementation of the AI application<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d745445\" data-block-id=\"d745445\"><p class=\"stk-block-text__text\">Electroencephalographic (EEG) measurement series derived during a visual stimulus-response time task are used to develop the innovation. The Exploring Project focuses on the development of an automatable software pipeline for EEG pre-processing. In subsequent steps, the electrophysiological data collection methods will be combined with AI-based algorithms (machine learning) for the objective classification of effort readiness in the neuropsychological tests.<\/p><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>An EEG analysis system is being developed that combines electrophysiological measurements and AI algorithms to objectively classify the willingness to exert effort in medical reports.<\/p>","protected":false},"author":4,"featured_media":2923,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":".gspb_container-id-gsbp-1fa6a74{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1fa6a74.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-1fa6a74.gspb_container{position:relative;display:block;margin:0;padding:24px;background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}@media (max-width:991.98px){#gspb_container-id-gsbp-1fa6a74.gspb_container{background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}}@media (max-width:767.98px){#gspb_container-id-gsbp-1fa6a74.gspb_container{background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}}@media (max-width:575.98px){#gspb_container-id-gsbp-1fa6a74.gspb_container{background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}}#gspb_container-id-gsbp-1fa6a74.gspb_container{box-sizing:border-box}"},"bereich":[22],"institut":[],"projektformat":[13],"class_list":["post-2916","projekt","type-projekt","status-publish","format-standard","has-post-thumbnail","hentry","bereich-verwaltung-organisation","projektformat-exploring-project"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt\/2916","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt"}],"about":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/types\/projekt"}],"author":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/users\/4"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media\/2923"}],"wp:attachment":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media?parent=2916"}],"wp:term":[{"taxonomy":"bereich","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/bereich?post=2916"},{"taxonomy":"institut","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/institut?post=2916"},{"taxonomy":"projektformat","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projektformat?post=2916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}