{"title":"BrainMaster","description":"","products":[{"product_id":"4-kanalkabel-von-brainmaster","title":"4-Channel Cable from Brainmaster","description":"\u003cp\u003eThe Brainmaster cable enables EEG training with a single cable (instead of 2) for 4 channels.\u003c\/p\u003e\n\u003cp\u003e Only requires one jumper instead of three.\u003c\/p\u003e","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49273985827150,"sku":"333-101","price":211.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/Image_55_74133c8b.jpg?v=1779455299"},{"product_id":"2-kanal-kabel-von-brainmaster","title":"2-Channel Cable from Brainmaster","description":"\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e48\" (121.9 cm) 2-channel input cable for Atlantis 2EB+, 4x4, and Discovery systems.\u003c\/p\u003e\n\u003cp\u003e Input cable with positions for 2 active cables, 2 reference cables and a ground (GND).\u003c\/p\u003e\n\u003cp\u003e The cable fits into the input: EEG 1\/2 or EEG 3\/4 of the Atlantis systems and channel 23\/24 of the Discovery system.\u003c\/p\u003e\n\u003cp\u003e Please note: The input cable in the Discovery system may only be used for peripheral purposes!\u003c\/p\u003e","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49274015482190,"sku":"124-620","price":52.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/Image_56.jpg?v=1775656242"},{"product_id":"brainmaster-multimediaplayer-mmp-fur-brainmaster-atlantis-und-discovery","title":"Brainmaster Multimedia Player MMP for Brainmaster Atlantis and Discovery","description":"","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49732344381774,"sku":"533-401","price":474.16,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/brainbackground.jpg?v=1731223313"},{"product_id":"atlantis-brainavatar-4-0-software-2011","title":"BrainAvatar™ 4.0 for Atlantis - Neurofeedback Software","description":"\u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e \u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eText that I used in Lovable for generating product description that is now in topic\u003c\/span\u003e\u003c\/b\u003e \u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e:\u003c\/span\u003e\u003c\/b\u003e\u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e \u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eShort description:\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\n \u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eBrainAvatar 4.0 is an advanced EEG and neurofeedback software option within the BrainAvatar 4.0 ecosystem from BrainMaster Technologies, Inc., designed as a unified platform for educational, assessment, and training objectives. It brings QEEG analysis, peripheral modalities, and an integrated assessment-and-training workflow into a streamlined interface, helping make sessions more efficient, structured, and effective.\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e \u003cb\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eLong description:\u003c\/span\u003e\u003c\/b\u003e\u003cspan lang=\"ES\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n \u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eBrainAvatar 4.0 4\/10 is presented as the latest of BrainAvatar 4.0 software for EEG and neurofeedback environments, built to support education, assessment, and training within a single workflow. By combining quantitative EEG (QEEG) analysis, comprehensive peripheral modalities, and seamless integration of assessment and training functions, it helps teams move from signal review to feedback and reporting with less friction and more consistency.\u003c\/span\u003e\u003cspan lang=\"ES\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e \u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eA key advantage of this software is its usability-focused interface: a streamlined, tabbed layout provides immediate access to multiple screens, allowing users to view raw or filtered waveforms, adjust control panels, interact with feedback screens, and generate reports in one place.\u003c\/span\u003e\u003cspan lang=\"ES\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n \u003cp style=\"text-align: justify;\" class=\"MsoNormal\"\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eFeatures:\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpFirst\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eView raw or filtered waveforms\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eAdjust control panels\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eEngage with feedback screens\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eGenerate reports\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eDedicated trainee screen with 8 customizable tabs\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eImproved 2D and 3D displays (enhanced clarity\/quality)\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eZ-Builder to create personalized training norms\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eOptional Z-Scores for personalized training norms on objectives and necessities.\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: justify; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eSupports Atlantis-integrated capabilities:\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: 'Courier New'; mso-fareast-font-family: 'Courier New'; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eO\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eContinuous impedance monitoring\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: 'Courier New'; mso-fareast-font-family: 'Courier New'; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eO\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003ePeripheral biofeedback\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: 'Courier New'; mso-fareast-font-family: 'Courier New'; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eO\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eDC and slow cortical potentials\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpMiddle\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: 'Courier New'; mso-fareast-font-family: 'Courier New'; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eO\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eInfra-Low Training\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpLast\"\u003e\u003c!-- [if !supportLists]--\u003e \u003cspan style=\"font-family: 'Courier New'; mso-fareast-font-family: 'Courier New'; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003eO\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e \u003c!--[endif]--\u003e\u003cspan style=\"mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003eCombined protocols\u003c\/span\u003e \u003cspan style=\"font-family: Roboto; mso-fareast-font-family: Roboto; mso-bidi-font-family: Roboto; mso-ansi-language: EN-US;\" lang=\"EN-US\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"margin-left: 72.0pt; mso-add-space: auto; text-align: justify; text-indent: -18.0pt; mso-list: l0 level2 lfo1;\" class=\"MsoListParagraphCxSpLast\"\u003e\u003c\/p\u003e\n\n\u003cp data-start=\"224\" data-end=\"800\"\u003e BrainMaster software version 3.5+ represents a further development of the BrainMaster EEG training system. Over the past year, more than 100 protocol design improvements have been implemented in version 3.5. EEG feedback now includes audible feedback, various training displays, and continuous monitoring and analysis of the data stream. Support for 4 to 19 channels has been expanded and optimized. The live Z-score% ZOK training functions have been enhanced with additional integrated features and definitions.\u003c\/p\u003e\n\n \u003cp data-start=\"802\" data-end=\"1075\"\u003eBrainAvatar™ for Atlantis builds upon previous software generations and adds a tab-based user interface with multiple display windows. These can show raw or filtered waveforms, control fields, feedback screens, or data analyses.\u003c\/p\u003e\n\n\u003cp data-start=\"1077\" data-end=\"1258\"\u003e Furthermore, it is now possible to provide up to 8 separate training displays for users, thus supporting different training configurations.\u003c\/p\u003e\n\n\u003cp data-start=\"1260\" data-end=\"1420\"\u003e The new version 4.0 enables individual training with or without Z-score norm data and is also usable for users of the 2-channel Atlantis system.\u003c\/p\u003e\n\n\u003cp data-start=\"1422\" data-end=\"1667\"\u003e ATLANTIS BrainAvatar™ continues to include all previous Atlantis features, including continuous impedance monitoring, peripheral biofeedback, DC and SCP training (via the Session Wizard), infra-low training, and combined protocols.\u003c\/p\u003e\n\n\u003cp data-start=\"1669\" data-end=\"1776\"\u003e The MiniLLP extension module is required for 3D visualization; it is also available in the Neurofeedback partner.\u003c\/p\u003e","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49732358832462,"sku":"533-140A","price":1095.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/141_0.jpg?v=1779356443"},{"product_id":"qeeg-report-service-bronze","title":"QEEG-Pro Report Service Bronze (One-time for 1 year or annual subscription)","description":"","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49732360765774,"sku":"533-639A","price":895.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/image_2023_01_19T14.png?v=1779457355"},{"product_id":"zukors-air","title":"Zukor's Air - Neurofeedback Game 3D","description":"\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Kq_SkOcgr_U?si=fWUBFzTZKGAEscUE\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e","brand":"Neurofeedbackpartner","offers":[{"title":"Default Title","offer_id":49732406313294,"sku":"533-513A","price":650.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0847\/7700\/9486\/files\/156_0.jpg?v=1731225053"},{"product_id":"discovery-24e-eeg-gerat-19-kanal-mit-brainavatar-acquisition-mit-integriertem-impedanzmesser","title":"Discovery 24 EEG\/QEEG device with 19 channels and BrainAvatar 4.0 Acquisition (including integrated impedance meter)","description":"\u003cp\u003e- Non-invasive EEG system for measuring and recording electrical brain activity.\u003c\/p\u003e\n\u003cp\u003e- Supports high-resolution 19-channel EEG\/QEEG measurements.\u003c\/p\u003e\n\u003cp\u003e- The system is designed for neurofeedback training and, in combination with appropriate software, provides real-time visual and auditory feedback based on EEG signals. 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With \u003cstrong data-end=\"207\" data-start=\"190\"\u003e4 EEG channels\u003c\/strong\u003e and \u003cstrong data-end=\"250\" data-start=\"212\"\u003e4 additional AUX input channels\u003c\/strong\u003e, it offers a flexible platform for neurofeedback, biofeedback, and multimodal training.\u003c\/p\u003e\n\u003cp data-end=\"789\" data-start=\"344\"\u003eIn combination with the \u003cstrong data-end=\"396\" data-start=\"367\"\u003eBrainAvatar® 4.0 Software\u003c\/strong\u003e, the Atlantis 4x4 supports real-time neurofeedback applications with reliable signal acquisition and versatile protocol options. 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