{"id":55494,"date":"2022-12-01T11:43:15","date_gmt":"2022-12-01T09:43:15","guid":{"rendered":"https:\/\/www.iemn.fr\/?p=55494"},"modified":"2022-12-01T11:43:15","modified_gmt":"2022-12-01T09:43:15","slug":"these-f-sekaf-techniques-radars-hyperfrequence-et-traitement-de-signal-associe-pour-la-mesure-de-signes-vitaux","status":"publish","type":"post","link":"https:\/\/www.iemn.fr\/en\/these\/these-2021\/these-f-sekaf-techniques-radars-hyperfrequence-et-traitement-de-signal-associe-pour-la-mesure-de-signes-vitaux.html","title":{"rendered":"THESE : F. SEKAF \u2013 Techniques radars hyperfr\u00e9quence et traitement de signal associ\u00e9 pour la mesure de signes vitaux"},"content":{"rendered":"<div id='layer_slider_1'  class='avia-layerslider main_color avia-shadow  avia-builder-el-0  el_before_av_heading  avia-builder-el-first  container_wrap sidebar_right'  style='height: 261px;'  ><div id=\"layerslider_58_naajcxtemwu5\" data-ls-slug=\"homepageslider\" class=\"ls-wp-container fitvidsignore ls-selectable\" style=\"width:1140px;height:260px;margin:0 auto;margin-bottom: 0px;\"><div class=\"ls-slide\" data-ls=\"duration:6000;transition2d:5;\"><img loading=\"lazy\" decoding=\"async\" width=\"2600\" height=\"270\" src=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg\" class=\"ls-bg\" alt=\"\" srcset=\"https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1.jpg 2600w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-300x31.jpg 300w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-768x80.jpg 768w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1030x107.jpg 1030w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-1500x156.jpg 1500w, https:\/\/www.iemn.fr\/wp-content\/uploads\/2019\/01\/sliders_news1-705x73.jpg 705w\" sizes=\"auto, (max-width: 2600px) 100vw, 2600px\" \/><ls-layer style=\"font-size:14px;text-align:left;font-style:normal;text-decoration:none;text-transform:none;font-weight:700;letter-spacing:0px;border-style:solid;border-color:#000;background-position:0% 0%;background-repeat:no-repeat;width:180px;height:30px;left:0px;top:231px;line-height:32px;color:#ffffff;border-radius:6px 6px 6px 6px;padding-left:50px;background-color:rgba(0, 0, 0, 0.57);\" class=\"ls-l ls-ib-icon ls-text-layer\" data-ls=\"minfontsize:0;minmobilefontsize:0;\"><i class=\"fa fa-quote-right\" style=\"color:#ffffff;margin-right:0.8em;font-size:1em;transform:translateY( -0.125em );\"><\/i>ACTUALITES<\/ls-layer><\/div><\/div><\/div><div id='after_layer_slider_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-55494'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lb4w16yo-28f7fe917ee5b3247edc2a2a9668a637\">\n#top .av-special-heading.av-lb4w16yo-28f7fe917ee5b3247edc2a2a9668a637{\nmargin:0 0 10px 0;\npadding-bottom:4px;\n}\nbody .av-special-heading.av-lb4w16yo-28f7fe917ee5b3247edc2a2a9668a637 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lb4w16yo-28f7fe917ee5b3247edc2a2a9668a637 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lb4w16yo-28f7fe917ee5b3247edc2a2a9668a637 av-special-heading-h2  avia-builder-el-1  el_after_av_layerslider  el_before_av_hr  avia-builder-el-first'><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >THESE : F. SEKAF \u2013 Techniques radars hyperfr\u00e9quence et traitement de signal associ\u00e9 pour la mesure de signes vitaux <\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-18u73nj-dad6a947580930e400fc42ba200e80f1\">\n#top .hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1{\nmargin-top:5px;\nmargin-bottom:5px;\n}\n.hr.av-18u73nj-dad6a947580930e400fc42ba200e80f1 .hr-inner{\nwidth:100%;\n}\n<\/style>\n<div  class='hr av-18u73nj-dad6a947580930e400fc42ba200e80f1 hr-custom  avia-builder-el-2  el_after_av_heading  el_before_av_textblock  hr-left hr-icon-no'><span class='hr-inner inner-border-av-border-thin'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<section  class='av_textblock_section av-jriy64i8-2f4600354c0449b610997916bbd9b6bc'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" >\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-13ewzjw-68e036126b913e5028f77311dc66b825\">\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825{\ncolor:#bfbfbf;\nborder-color:#bfbfbf;\n}\n.av_font_icon.av-13ewzjw-68e036126b913e5028f77311dc66b825 .av-icon-char{\nfont-size:60px;\nline-height:60px;\n}\n<\/style>\n<span  class='av_font_icon av-13ewzjw-68e036126b913e5028f77311dc66b825 avia_animate_when_visible av-icon-style- avia-icon-pos-left avia-icon-animate'><span class='av-icon-char' aria-hidden='true' data-av_icon='\ue8c9' data-av_iconfont='entypo-fontello' ><\/span><\/span>\n<p><strong>F. SEKAF<br \/>\n<\/strong><\/p>\n<p>Soutenance : <strong>14 d\u00e9cembre 2021<br \/>\n<\/strong><span class=\"titre\">Th\u00e8se de doctorat en Electronique, micro\u00e9lectronique, nano\u00e9lectronique et micro-ondes, Universit\u00e9 de Lille, ENGSYS Sciences de l\u2019ing\u00e9nierie et des syst\u00e8mes<\/span><\/p>\n<\/div><\/section>\n<section  class='av_textblock_section av-jtefqx33-628129dba2299b2ecd65ebfc92eac29d'   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><div  class='hr av-kjh3zw-4dff888f744b728a1aca9b3a0971493a hr-default  avia-builder-el-6  avia-builder-el-no-sibling'><span class='hr-inner'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<h5><strong><span style=\"color: #800000;\">\u00a0<\/span><\/strong><\/h5>\n<h5>Summary:<\/h5>\n<p>Dans le contexte de la s\u00e9curisation des syst\u00e8mes de transport, la surveillance \u00e0 courte distance de l\u2019activit\u00e9 des personnes, en particulier du conducteur dans un v\u00e9hicule, constitue un enjeu majeur dans l\u2019am\u00e9lioration du syst\u00e8me d\u2019aide \u00e0 la conduite. L\u2019application vis\u00e9e dans ce travail concerne principalement le domaine du ferroviaire. Les fr\u00e9quences respiratoire et cardiaque du conducteur sont des indicateurs cl\u00e9s pour l\u2019\u00e9valuation de l\u2019\u00e9tat physiologique. Les m\u00e9thodes de mesure conventionnelles de ces signes vitaux reposent sur des capteurs op\u00e9rant en contact direct avec la peau. Par cons\u00e9quent, le caract\u00e8re intrusif de ces solutions ne s\u2019av\u00e8re pas adapt\u00e9 au domaine du transport, en particulier du fait de la g\u00eane induite. Dans le cadre de ces travaux, une solution radar hyperfr\u00e9quence op\u00e9rant \u00e0 faible puissance est propos\u00e9e pour la mesure en continue des signaux d\u2019activit\u00e9s respiratoire et cardiaque. En particulier, les signaux physiologiques (battements du coeur, mouvement m\u00e9canique de la cage thoracique) sont des indicateurs de l\u2019activit\u00e9 humaine qui peuvent \u00eatre d\u00e9tect\u00e9s \u00e0 distance (jusqu\u2019\u00e0 une dizaine de m\u00e8tres) au moyen d\u2019ondes \u00e9lectromagn\u00e9tiques hyperfr\u00e9quences rayonn\u00e9es. Bien que la litt\u00e9rature montre un engouement grandissant pour le d\u00e9veloppement de techniques radars d\u00e9di\u00e9s \u00e0 la surveillance des personnes, il n\u2019existe pas, \u00e0 ce jour, de dispositif commercial robuste, sensible et pr\u00e9cis. Une analyse fine des param\u00e8tres \u00e9lectriques et g\u00e9om\u00e9triques de la technique radar est propos\u00e9e dans ce travail afin d\u2019identifier les sources d\u2019incertitudes, de d\u00e9finir les param\u00e8tres optimaux, de valider exp\u00e9rimentalement la solution propos\u00e9e. Un traitement de signal original, bas\u00e9 sur l\u2019approche cyclostationnaire, est mis en oeuvre afin d\u2019extraire les param\u00e8tres d\u2019int\u00e9r\u00eat dans des environnements de mesure de r\u00e9f\u00e9rence ou perturb\u00e9s. Les solutions mat\u00e9rielles propos\u00e9es associ\u00e9es \u00e0 un traitement de signal optimal permettent d\u2019entrevoir des architectures de radar adapt\u00e9es aux contingences hors laboratoire.<\/p>\n<h5>Abstract:<\/h5>\n<p>In the context of securing transportation systems, short-range monitoring of people\u2019s activity, in particular the driver\u2019s activity in a vehicle, is a major issue in the improvement of the driver assistance system. The application targeted in this work concerns mainly the railway domain. Respiratory and heart rates of the driver are key indicators for the evaluation of the physiological state. Conventional methods of measuring these vital signs rely on sensors operating in direct contact with the skin. Therefore, the intrusive character of these solutions is not adapted to the transportation domain, especially because of the induced discomfort. In this work, a microwave radar solution operating at low power is proposed for the continuous measurement of respiratory and cardiac activity signals. In particular, physiological signals (heartbeat, mechanical movement of the rib cage) are indicators of human activity that can be detected at a distance (up to ten meters) using radiated microwave electromagnetic waves. Although the literature shows a growing interest in the development of radar techniques dedicated to the surveillance of people, there is no robust, sensitive and accurate commercial device available to date. A detailed analysis of the electrical and geometrical parameters of the radar technique is proposed in this work in order to identify the sources of uncertainties, to define the optimal parameters, to validate experimentally the proposed solution. An original signal processing, based on the cyclostationary approach, is implemented in order to extract the parameters of interest in reference or disturbed measurement environments. The proposed hardware solutions associated with an optimal signal processing allow to foresee radar architectures adapted to non laboratory contingencies.<\/p>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[317],"tags":[],"class_list":["post-55494","post","type-post","status-publish","format-standard","hentry","category-these-2021"],"_links":{"self":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/55494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/comments?post=55494"}],"version-history":[{"count":0,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/posts\/55494\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/media?parent=55494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/categories?post=55494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.iemn.fr\/en\/wp-json\/wp\/v2\/tags?post=55494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}