{"id":7445,"date":"2026-09-03T15:40:59","date_gmt":"2026-09-03T13:40:59","guid":{"rendered":"https:\/\/cleverpoint.pro\/docs\/uncategorized\/tryb-interakcji-miedzykanalowych\/"},"modified":"2026-09-03T15:40:59","modified_gmt":"2026-09-03T13:40:59","password":"","slug":"tryb-interakcji-miedzykanalowych","status":"publish","type":"docs","link":"https:\/\/cleverpoint.pro\/pl\/docs\/interfejs-moc\/tryb-interakcji-miedzykanalowych\/","title":{"rendered":"5.3. Tryb \u201eInterakcje mi\u0119dzy kana\u0142ami\u201d"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">5.3.1. Cel<\/h3>\n\n\n\n<p>Wizualizacja zale\u017cno\u015bci mi\u0119dzy dwoma kana\u0142ami w wybranym pa\u015bmie cz\u0119stotliwo\u015bci.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">5.3.2. Elementy steruj\u0105ce<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full border-inline\"><img data-dominant-color=\"545046\" data-has-transparency=\"true\" style=\"--dominant-color: #545046;\" loading=\"lazy\" decoding=\"async\" width=\"829\" height=\"801\" src=\"https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37.png\" alt=\"Between-channel interactions mode controls with numbered callouts for Trim (1), CAR (2), Denoise (3), frequency range selector (4), measure type (5), epoch length (6), analysis mode (7), play button (8), and the two channel selectors (9, 10), above a joint trajectory plot comparing two EEG channels.\" class=\"wp-image-5048 has-transparency\" srcset=\"https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37.png 829w, https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37-300x290.png 300w, https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37-768x742.png 768w, https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37-360x348.png 360w, https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37-78x75.png 78w, https:\/\/cleverpoint.pro\/wp-content\/uploads\/2026\/03\/image-37-480x464.png 480w\" sizes=\"auto, (max-width:767px) 480px, (max-width:829px) 100vw, 829px\" \/><\/figure>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Przycinanie:<\/strong> Usuwanie odcink\u00f3w artefakt\u00f3w<\/li>\n\n\n\n<li><strong>CAR:<\/strong> Wsp\u00f3lne u\u015brednione odniesienie<\/li>\n\n\n\n<li><strong>Odszumianie:<\/strong> T\u0142umienie artefakt\u00f3w mrugni\u0119\u0107<\/li>\n\n\n\n<li><strong>Filtr:<\/strong> Wyb\u00f3r filtra cz\u0119stotliwo\u015bciowego<\/li>\n\n\n\n<li><strong>Amplituda\/Moc:<\/strong> Amplituda lub moc<\/li>\n\n\n\n<li><strong>D\u0142ugo\u015b\u0107 epoki:<\/strong> D\u0142ugo\u015b\u0107 epoki<\/li>\n\n\n\n<li>Wyb\u00f3r trybu: <strong>Moc wed\u0142ug sekcji \/ Interakcje mi\u0119dzy kana\u0142ami<\/strong><\/li>\n\n\n\n<li>Przycisk przeliczenia<\/li>\n\n\n\n<li><strong>Elektroda Y:<\/strong> Kana\u0142 dla osi Y<\/li>\n\n\n\n<li><strong>Elektroda X:<\/strong> Kana\u0142 dla osi X<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">5.3.3. Metoda obliczeniowa<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Przekszta\u0142cenia i filtrowanie s\u0105 stosowane do ka\u017cdego kana\u0142u.<\/li>\n\n\n\n<li>Sygna\u0142 jest przekszta\u0142cany na amplitud\u0119 lub moc.<\/li>\n\n\n\n<li>Stosowane jest u\u015brednianie epok.<\/li>\n\n\n\n<li>Dla ka\u017cdej sekcji budowany jest wykres rozrzutu:<br><code>plot(X_channel, Y_channel)<\/code><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">5.3.4. Interpretacja<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Zale\u017cno\u015b\u0107 liniowa:<\/strong> wysoka korelacja mi\u0119dzy kana\u0142ami<\/li>\n\n\n\n<li><strong>Skupiska (klastry):<\/strong> r\u00f3\u017cne sekcje mog\u0105 tworzy\u0107 odr\u0119bne skupiska<\/li>\n\n\n\n<li><strong>Kszta\u0142t chmury punkt\u00f3w:<\/strong> odzwierciedla rodzaj interakcji (synchroniczna, asynchroniczna, op\u00f3\u017aniona)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>5.3.1. Cel Wizualizacja zale\u017cno\u015bci mi\u0119dzy dwoma kana\u0142ami w wybranym pa\u015bmie cz\u0119stotliwo\u015bci. 5.3.2. Elementy steruj\u0105ce 5.3.3. Metoda obliczeniowa 5.3.4. Interpretacja<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"doc_category":[1419],"doc_tag":[],"class_list":["post-7445","docs","type-docs","status-publish","hentry","doc_category-interfejs-moc"],"year_month":"2026-09","word_count":153,"total_views":"11","reactions":{"happy":"0","normal":"0","sad":"0"},"author_info":{"name":"Vitaly","author_nicename":"vitaly","author_url":"https:\/\/cleverpoint.pro\/pl\/author\/vitaly\/"},"doc_category_info":[{"term_name":"5. Interfejs \u201eMoc\u201d","term_url":"https:\/\/cleverpoint.pro\/pl\/docs\/interfejs-moc\/"}],"doc_tag_info":[],"knowledge_base_info":[],"knowledge_base_slug":[],"_links":{"self":[{"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/docs\/7445","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/comments?post=7445"}],"version-history":[{"count":0,"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/docs\/7445\/revisions"}],"wp:attachment":[{"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/media?parent=7445"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/doc_category?post=7445"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/cleverpoint.pro\/pl\/wp-json\/wp\/v2\/doc_tag?post=7445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}