{"product_id":"atlantis-brainavatar-4-0-software-2011","title":"BrainAvatar ™ 4.0 für 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 theme\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\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\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\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\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\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\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\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\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\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\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\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\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\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\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 necesities. \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\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\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\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\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\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\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\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\u003cp data-start=\"224\" data-end=\"800\"\u003eDie Softwareversion 3.5+ von BrainMaster stellt eine Weiterentwicklung des BrainMaster-EEG-Trainingssystems dar. Im Laufe des letzten Jahres wurden über 100 Anpassungen im Bereich der Protokolldesigns in Version 3.5 implementiert. Das EEG-Feedback ermöglicht akustische Rückmeldungen, verschiedene Trainingsanzeigen sowie eine kontinuierliche Überprüfung und Analyse des Datenstroms. Die Unterstützung für 4 bis 19 Kanäle wurde erweitert und optimiert. Die Live Z-Score%-ZOK-Trainingsfunktionen wurden durch zusätzliche integrierte Funktionen und Definitionen verbessert.\u003c\/p\u003e\n\u003cp data-start=\"802\" data-end=\"1075\"\u003eBrainAvatar™ für Atlantis baut auf den vorherigen Softwaregenerationen auf und ergänzt diese um eine tabbasierte Benutzeroberfläche mit mehreren Anzeigefenstern. Diese können Roh- oder gefilterte Wellenformen, Steuerfelder, Feedback-Screens oder Datenanalysen darstellen.\u003c\/p\u003e\n\u003cp data-start=\"1077\" data-end=\"1258\"\u003eDarüber hinaus besteht nun die Möglichkeit, bis zu 8 separate Trainingsanzeigen für Anwender bereitzustellen, wodurch unterschiedliche Trainingskonfigurationen unterstützt werden.\u003c\/p\u003e\n\u003cp data-start=\"1260\" data-end=\"1420\"\u003eDie neue Version 4.0 ermöglicht individuelles Training mit oder ohne Z-Score-Normdaten und ist ebenfalls für Anwender des 2-Kanal-Atlantis-Systems einsetzbar.\u003c\/p\u003e\n\u003cp data-start=\"1422\" data-end=\"1667\"\u003eATLANTIS BrainAvatar™ enthält weiterhin alle bisherigen Atlantis-Funktionen, darunter kontinuierliches Impedanzmonitoring, peripheres Biofeedback, DC- und SCP-Training (über den Session Wizard), Infra-Low-Training sowie kombinierte Protokolle.\u003c\/p\u003e\n\u003cp data-start=\"1669\" data-end=\"1776\"\u003eFür die 3D-Darstellung wird das Erweiterungsmodul MiniLLP benötigt, das ebenfalls im Neurofeedback-partner verfügbar ist.\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","url":"https:\/\/neurofeedback-partner.com\/products\/atlantis-brainavatar-4-0-software-2011","provider":"Neurofeedback Partner GmbH","version":"1.0","type":"link"}