{"id":49742,"date":"2024-11-22T14:49:21","date_gmt":"2024-11-22T13:49:21","guid":{"rendered":"https:\/\/frh-fondation.ch\/project\/analyze-me-3\/"},"modified":"2024-11-22T15:58:07","modified_gmt":"2024-11-22T14:58:07","slug":"analyze-me-3","status":"publish","type":"project","link":"https:\/\/frh-fondation.ch\/en\/project\/analyze-me-3\/","title":{"rendered":"Analyze-Me"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||6px|||&#8221; global_colors_info=&#8221;{}&#8221;]\n<h1><span style=\"color: #000000;\"><strong>Analyze-Me<\/strong><\/span><\/h1>\n<h4><strong>Analyze-Me: Software tools for processing physiological signals from patients with non-verbal autism<\/strong><\/h4>\n<h4><span style=\"color: #000000;\">Phase 3<\/span><\/h4>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #000000;\"><strong>Type of project:<\/strong> Feasibility study<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Disabilities concerned: <\/strong>Autism and Pervasive Developmental Disorders, Mental disability, Polydisability<strong><br \/><\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Topics: <\/strong>Autonomy, Services and communication, Health, Interpersonal relations<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Statut : <\/strong>In progress<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<h5><span style=\"color: #000000;\">Development of software for the detection and visualisation of physiological signals linked to stress factors in patients with a non-verbal form of autism.<\/span><\/h5>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><span style=\"color: #000000;\">Patients with a non-verbal form of autism are unable to communicate with others and are at risk of developing difficult behaviours (self-aggression, hetero-aggression, shouting, destruction, motor instability). Some of these behaviours can be dangerous not only for the patient but also for their carers. When crises occur, it is essential to detect them so that appropriate action can be taken to change the environmental conditions and mitigate their consequences. Given that verbal communication is very limited, if not impossible in some cases, it is difficult to understand the reasons for a seizure. It is difficult to determine whether\u00a0<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><span style=\"color: #000000;\">they are an alternative way of expressing the person&#8217;s needs or whether they reflect a state of consciousness or a somatic experience, stress or pain. We have already received support from the Innovation Booster for exploratory research and a prototype. The aim of our project is to develop software to detect and visualise SNS activation, known to correlate with acute pain\/stress or alternative communication, by analysing physiological signals collected using the Empatica E4 wristband. These signals include measurements such as electrodermal activity (EDA), blood volume pulse (BVP), temperature, and 3D acceleration (ACC).<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<p><span style=\"color: #000000;\">As a result of our previous project, we have developed a comprehensive graphical user interface for physiological signal processing, enabling us to extract over 100 different signal characteristics from BVP and EDA signals. We have also received ethics committee approval for data collection and have already started collecting data. On the basis of the initial data, we have been able to classify stressful events against calm periods with 98% accuracy, and to differentiate stressful events from attempts at non-verbal communication (which is difficult for untrained staff to achieve) with 97% accuracy.<\/span><\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/frh-fondation.ch\/wp-content\/uploads\/2023\/11\/AnalyzeMe.png&#8221; alt=&#8221;Screenshot of AnalyzeMe software, showing health-related data&#8221; title_text=&#8221;AnalyzeMe&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;-1.3em&#8221; max_width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;]\n<h4><strong>Contact info<\/strong><\/h4>\n<p>HES-SO Valais-Wallis<\/p>\n<p>Alena Simalatsar<\/p>\n<p><a href=\"mailto:alena.simalatsar@hevs.ch\">alena.simalatsar@hevs.ch<\/a>\u00a0<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; column_structure=&#8221;1_2,1_2&#8243; sticky_enabled=&#8221;0&#8243;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/frh-fondation.ch\/en\/project\/analyze-me\/&#8221; button_text=&#8221;To phase 1 of this project&#8221; admin_label=&#8221;Vers autre phase projet&#8221; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#042c74&#8243; button_icon=&#8221;&#x39;||divi||400&#8243; background_layout=&#8221;dark&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/frh-fondation.ch\/en\/project\/analyze-me-2\/&#8221; button_text=&#8221;To phase 2 of this project&#8221; admin_label=&#8221;Vers autre phase projet&#8221; _builder_version=&#8221;4.17.0&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#042c74&#8243; button_icon=&#8221;&#x39;||divi||400&#8243; background_layout=&#8221;dark&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"<p>Development of software for the detection and visualisation of physiological signals linked to stress factors in patients with a non-verbal form of autism.<\/p>\n","protected":false},"author":41,"featured_media":44154,"comment_status":"open","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"thematiques":[204],"project_category":[162],"project_tag":[170],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.4 - 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