{"id":1210,"date":"2017-05-17T13:57:33","date_gmt":"2017-05-17T11:57:33","guid":{"rendered":"http:\/\/zfbweb.zfb.fuw.edu.pl\/?page_id=1210"},"modified":"2025-02-28T15:50:07","modified_gmt":"2025-02-28T14:50:07","slug":"jaroslaw_zygierewicz","status":"publish","type":"page","link":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/people-2\/jaroslaw_zygierewicz\/","title":{"rendered":"Jaros\u0142aw \u017bygierewicz"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;fadeIn&#8221;][vc_column css_animation=&#8221;fadeIn&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;1593&#8243; img_size=&#8221;large&#8221; alignment=&#8221;center&#8221; onclick=&#8221;link_image&#8221; css_animation=&#8221;none&#8221;]<div class=\"get_in_touch\" ><div class=\"get_in_touch_wrapper\"><ul><li class=\"address\"><span class=\"icon\"><i class=\"icon-location\" aria-label=\"address\"><\/i><\/span><span class=\"address_wrapper\">room 4.68, 5 Pasteur Street, Warsaw<\/span><\/li><li class=\"phone phone-1\"><span class=\"icon\"><i class=\"icon-phone\" aria-label=\"phone\"><\/i><\/span><p><a href=\"tel:+48225532868\">+48 22 55 32 868<\/a><\/p><\/li><li class=\"mail\"><span class=\"icon\"><i class=\"icon-mail\" aria-label=\"mail\"><\/i><\/span><p><a href=\"mailto:Jaroslaw.Zygierewicz@fuw.edu.pl\">Jaroslaw.Zygierewicz@fuw.edu.pl<\/a><\/p><\/li><li class=\"www\"><span class=\"icon\"><i class=\"icon-link\"><\/i><\/span><p><a target=\"_blank\" href=\"http:\/\/www.fuw.edu.pl\/~jarekz\/\">www.fuw.edu.pl\/~jarekz\/<\/a><\/p><\/li><\/ul><\/div><\/div>\n[\/vc_column][vc_column css_animation=&#8221;none&#8221; width=&#8221;5\/12&#8243;][vc_column_text css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1740754085493{margin-bottom: 0px !important;padding-bottom: 0px !important;}&#8221;]<\/p>\r\n<h3 style=\"padding: 0; margin: 0;\"><strong>Jaros\u0142aw\u00a0\u017bYGIEREWICZ<\/strong><\/h3>\r\n<p><strong>PhD DSc, Neuroinformatics, prof. UW<\/strong><\/p>\r\n<p>[\/vc_column_text][vc_separator color=&#8221;blue&#8221; align=&#8221;align_left&#8221; el_width=&#8221;30&#8243; css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1494490089269{margin-top: 10px !important;margin-bottom: 10px !important;}&#8221;][vc_column_text css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1495024432351{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}&#8221;][vc_row][vc_column width=&#8221;1\/1&#8243;][vc_column_text]<\/p>\r\n<p class=\"FreeForm\" style=\"text-align: justify; text-justify: inter-ideograph;\">He received the M. Sc. (1995) and PhD (2000) degrees in Medical Physics at the Warsaw University.<\/p>\r\n<p class=\"FreeForm\">His research interests concern time-frequency analysis of EEG and MEG signals, especially event related power changes of those signals. He developed methodology for statistical analysis of event related synchronization and desynchronization in EEG and MEG. He is involved in designing brain computer interfaces, validation of psychological models of emotions and working memory. His research encompasses also realistic neuronal network models that provide insight into the mechanisms underlying the effects observed in EEG and MEG signals.<\/p>\r\n<p class=\"FreeForm\">Currently he is an \u00a0Associate Professor,\u00a0at the Department of Biomedical Physics, Faculty of Physics, University of Warsaw.<\/p>\r\n<hr class=\"wp-block-separator\" \/>\r\n\r\n\r\n<h2 class=\"wp-block-heading\">Handbooks on biomedical signal processing<\/h2>\r\n\r\n\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis: 33.33%;\">\r\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/images.tandf.co.uk\/common\/jackets\/crclarge\/978042909\/9780429092305.jpg\" alt=\"\" \/>\r\n<figcaption>First Edition<\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/images.routledge.com\/common\/jackets\/crclarge\/978113836\/9781138364417.jpg\" alt=\"\" \/>\r\n<figcaption>Second Edition<\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n<p><span class=\"has-inline-color has-vivid-cyan-blue-color\"><a title=\"Check Support Material for over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses\" href=\"https:\/\/static.routledge.com\/9781138364417\/matlab.zip\">Check <\/a><\/span><span class=\"has-inline-color has-luminous-vivid-orange-color\"><a title=\"Check Support Material for over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses\" href=\"https:\/\/static.routledge.com\/9781138364417\/matlab.zip\">Support Material <\/a><\/span><span class=\"has-inline-color has-vivid-cyan-blue-color\"><a title=\"Check Support Material for over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses\" href=\"https:\/\/static.routledge.com\/9781138364417\/matlab.zip\">for over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses<\/a><\/span><\/p>\r\n<p><\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis: 66.66%;\">\r\n<p>Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications, this second edition of\u00a0<strong>Practical Biomedical Signal Analysis Using MATLAB<\/strong>\u00ae also offers practical guidance on which procedures are appropriate for a given task and different types of data.<\/p>\r\n\r\n<p>It begins by describing signal analysis techniques\u2014including the newest and most advanced methods in the field\u2014in an easy and accessible way, illustrating them with Live Script demos. MATLAB\u00ae routines are listed when available, and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice.<\/p>\r\n\r\n<p>These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures, phase-amplitude analysis, functional near-infrared spectroscopy, fMRI (BOLD) signals, wearable devices, multimodal signal analysis, and brain-computer interfaces.<\/p>\r\n\r\n<p>By providing a unified overview of the field, this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis.<\/p>\r\n\r\n<p>Features:<\/p>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li>Fully updated throughout with new achievements, technologies, and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques, suitable for self-learning or as a supplement to college courses<\/li>\r\n<li>Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications<\/li>\r\n<\/ul>\r\n<p><\/p>\r\n<\/div>\r\n<p><\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\r\n<div class=\"wp-block-group__inner-container\">\u00a0<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p><\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;fadeIn&#8221;][vc_column css_animation=&#8221;fadeIn&#8221; width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;1593&#8243; img_size=&#8221;large&#8221; alignment=&#8221;center&#8221; onclick=&#8221;link_image&#8221; css_animation=&#8221;none&#8221;][\/vc_column][vc_column css_animation=&#8221;none&#8221; width=&#8221;5\/12&#8243;][vc_column_text css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1740754085493{margin-bottom: 0px !important;padding-bottom: 0px !important;}&#8221;] Jaros\u0142aw\u00a0\u017bYGIEREWICZ PhD DSc, Neuroinformatics, prof. UW [\/vc_column_text][vc_separator color=&#8221;blue&#8221; align=&#8221;align_left&#8221; el_width=&#8221;30&#8243; css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1494490089269{margin-top: 10px !important;margin-bottom: 10px !important;}&#8221;][vc_column_text css_animation=&#8221;none&#8221; css=&#8221;.vc_custom_1495024432351{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":6,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[],"tags":[],"class_list":["post-1210","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/1210","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/comments?post=1210"}],"version-history":[{"count":21,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/1210\/revisions"}],"predecessor-version":[{"id":3103,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/1210\/revisions\/3103"}],"up":[{"embeddable":true,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/6"}],"wp:attachment":[{"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/media?parent=1210"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/categories?post=1210"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zfbweb.zfb.fuw.edu.pl\/index.php\/wp-json\/wp\/v2\/tags?post=1210"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}