{"id":44665,"date":"2023-11-30T12:30:00","date_gmt":"2023-11-30T11:30:00","guid":{"rendered":"https:\/\/frh-fondation.ch\/project\/analyze-me-2\/"},"modified":"2024-11-22T16:45:44","modified_gmt":"2024-11-22T15:45:44","slug":"analyze-me-2","status":"publish","type":"project","link":"https:\/\/frh-fondation.ch\/en\/project\/analyze-me-2\/","title":{"rendered":"Analyze-Me"},"content":{"rendered":"[et_pb_section fb_built=”1″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.0″ _module_preset=”default” custom_padding=”0px||6px|||” global_colors_info=”{}”]\n

Analyze-Me<\/strong><\/span><\/h1>\n

Software tools for processing physiological signals from patients with a non-verbal form of autism<\/strong><\/h4>\n

Phase 2<\/span><\/h4>\n

 <\/p>\n

Type of project:<\/strong> Prototype<\/span><\/p>\n

Disability concerned: <\/strong>Autism and Pervasive Developmental Disorders, Mental disability, Polydisability<\/span><\/p>\n

Topics: <\/strong>Autonomy, Services and communication, Health, Interpersonal relationships<\/span><\/p>\n

Status: <\/strong>Completed<\/span><\/p>\n[\/et_pb_text][et_pb_text _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”]\n

Our project aims to develop software for the detection and visualisation of stress induction or attempted communication. By extracting the characteristics of physiological signals, our tool provides them as input to a Deep Learning algorithm for classifying the communication vs. difficult behaviour of non-verbal autistic patients.<\/h5>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”]\n

Patients with non-verbal autism often have difficulty communicating, which can lead to the development of challenging behaviours that can be a danger not only to the patient but also to their carers. To address this problem, we have developed a graphical user interface that enables real-time data collection from the Empatica bracelet.<\/p>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”]\n

This interface processes a variety of physiological signals, including electrodermal activity (EDA), blood volume pulse (BVP), temperature and 3D acceleration (ACC), extracting more than 100 different signal features and allowing visualisation of selected features.<\/p>\n

Preliminary data collected from two autistic patients and eight healthy volunteers – an effort approved by the ethics committee – led to the following conclusions:<\/p>\n[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}”]\n