[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.22″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”1_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ background_color=”#072c72″ border_color_all=”#3255c9″ text_orientation=”right” background_layout=”dark” custom_padding=”20px|15px|15px|” z_index_tablet=”500″]<\/p>\n
2021<\/em><\/p>\n Masters Projects<\/em><\/p>\n @Mathematics and Statistics<\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”3.22.1″ text_orientation=”right” z_index_tablet=”500″]<\/p>\n +Engineering<\/p>\n +Medicine<\/p>\n +Neuroscience<\/p>\n \u00a0<\/p>\n #anesthesia<\/p>\n #EEG<\/p>\n #classification<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”3.0.47″][et_pb_text _builder_version=”3.22.1″ z_index_tablet=”500″]<\/p>\n General Anesthesia (GA) is a drug-induced, reversible condition with three commonly accepted goals: lack of experience of surgery, nociceptive blockade and immobility for the needs of surgery. In 2010, 11.3 millions of anesthesia procedures were performed in France. However, despite numerous progresses in the understanding of GA mechanisms, some questions remain unanswered like the precise mechanisms of awakening after a GA, the long term effects of anesthesia or the common pathway of all anesthetics. The aim of this project is to use electroencephalogram (EEG) signatures and machine learning tools in order to better understand the phenomena involved during awakening from GA. In particular, the goal of our study is to precisely quantify GA recovery in order to further investigate its nature and time course, which remains debated. GA recovery is often considered as a passive process: as the anesthetics are eliminated, the reactivation of the neuronal circuits affected by GA would simply mirror their deactivation. But is it true? Could we find some traces of GA in the EEG of patients, even several hours after they woke up?<\/p>\n \u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=”120px||” _builder_version=”3.22.1″ admin_label=”Row” locked=”off”][et_pb_column type=”4_4″ _builder_version=”3.22.1″][et_pb_divider _builder_version=”3.22.1″][\/et_pb_divider][et_pb_text admin_label=”\u00c0 lire aussi” _builder_version=”3.22.1″ z_index_tablet=”500″ locked=”off”]<\/p>\n [\/et_pb_text][et_pb_blog posts_number=”4″ include_categories=”35″ show_author=”off” show_date=”off” show_pagination=”off” module_id=”page_type_blog” _builder_version=”3.22.1″ header_level=”h4″ border_width_bottom_fullwidth=”1px” border_color_bottom_fullwidth=”rgba(51,51,51,0.18)” custom_padding=”||50px|” z_index_tablet=”500″ locked=”off”][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" 2021Masters Projects@Mathematics and Statistics +Engineering+Medicine+Neuroscience\u00a0#anesthesia#EEG#classification Project SummaryGeneral Anesthesia (GA) is a drug-induced, reversible condition with three commonly accepted goals: lack of experience of surgery, nociceptive blockade and immobility for the needs of surgery. In 2010, 11.3 millions of anesthesia procedures were performed in France. However, despite numerous progresses in the understanding of GA mechanisms, some… Lire la suite Machine learning for the study of EEG data recorded during general anesthesia<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[57,1,29,35],"tags":[],"class_list":["post-1580","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-57","category-diip","category-masters-internship","category-mathematics-statistics"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1580"}],"version-history":[{"count":3,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1580\/revisions"}],"predecessor-version":[{"id":2316,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1580\/revisions\/2316"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2263"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Project Summary<\/strong><\/h3>\n
Laurent Oudre <\/strong><\/h5>\n
Projects in the same discipline
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