{"id":2558,"date":"2024-10-07T15:27:26","date_gmt":"2024-10-07T13:27:26","guid":{"rendered":"https:\/\/www.technoscience.it\/?p=2558"},"modified":"2024-10-10T16:56:18","modified_gmt":"2024-10-10T14:56:18","slug":"riabilitazione","status":"publish","type":"post","link":"https:\/\/www.technoscience.it\/en\/news\/riabilitazione\/","title":{"rendered":"Technoscience at the 24th SIAMOC Congress: Machine Learning and Innovation in Rehabilitation"},"content":{"rendered":"<div>From 2 to 5 October 2024, Stresa hosted the 24th SIAMOC National Congress, bringing together professionals involved in the study and optimisation of human movement, including engineers, orthopaedic physicians, physiotherapists and kinesiologists. The congress provided an opportunity to discuss and review the latest innovations in rehabilitation and movement analysis.<\/div>\n<div dir=\"ltr\"><\/div>\n<div dir=\"ltr\"><\/div>\n<div dir=\"ltr\"><\/div>\n<h5 dir=\"ltr\">The Studio<\/h5>\n<p>&nbsp;<\/p>\n<div><strong>Technoscience<\/strong> participated in the event presenting the study <strong>\u201cIdentification of compensatory movements by a single low-cost inertial sensor during rehabilitation exercises\u201d<\/strong>, developed in collaboration with <strong>the University of Rome Foro Italico<\/strong> and <strong>the University of Tuscia<\/strong>. The study introduces a new approach in the use of wearable sensors and IoT technologies for the evaluation of rehabilitation exercises, with particular attention to the identification of compensatory movements.<\/div>\n<div dir=\"ltr\"><\/div>\n<div>Thanks to a single low-cost inertial sensor, the collected data was processed through models <strong>machine learning<\/strong> to accurately identify compensatory movements during exercise performance. This system is expected to be particularly effective in <strong>telerehabilitation<\/strong>, offering new solutions to remotely monitor patients and improve access to rehabilitation care.<\/div>\n<div dir=\"ltr\"><\/div>\n<h5 dir=\"ltr\">The Results<\/h5>\n<p>&nbsp;<\/p>\n<h5 dir=\"ltr\"><\/h5>\n<h5 dir=\"ltr\"><img title=\"24th SIAMOC Congress \u2013 machine learning and rehabilitation\" fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-2560 aligncenter\" src=\"https:\/\/www.technoscience.it\/wp-content\/uploads\/2024\/10\/original-42D03395-5F2D-487F-9C35-5E6140A5E20E-300x169.jpeg\" alt=\"Moment from the 24th SIAMOC Congress on machine learning and rehabilitation\" width=\"467\" height=\"263\" srcset=\"\" sizes=\"(max-width: 467px) 100vw, 467px\" data-srcset=\"\" \/><\/h5>\n<p>&nbsp;<\/p>\n<div>The results highlight the potential of this technology, paving the way for more precise and personalised management of rehabilitation pathways and reducing logistical barriers for patients and healthcare professionals.<\/div>\n<div dir=\"ltr\"><\/div>\n<div><strong>Technoscience<\/strong> continues to be committed to developing innovative solutions for the rehabilitation sector, supporting professionals and improving the quality of life of patients through cutting-edge technologies.<\/div>\n<div dir=\"ltr\"><\/div>\n<div dir=\"ltr\"><\/div>\n<div>Particular thanks are addressed to Federico Caramia, Valentina Camomilla, Leandro Lucangeli, Emanuele D'Angelantonio and Eleonora Bellucci, for their essential contribution to the project.<\/div>\n<div><\/div>\n<div><\/div>","protected":false},"excerpt":{"rendered":"<p>Dal 2 al 5 ottobre 2024, Stresa \u00e8 stata la sede del XXIV Congresso Nazionale SIAMOC, evento che ha visto la partecipazione di professionisti impegnati nello studio e nell\u2019ottimizzazione del [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":2559,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"footnotes":""},"categories":[1],"tags":[188,39,183,121],"class_list":["post-2558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-digital-health","tag-intelligenza-artificiale","tag-life-sciences","tag-ricerca-applicata"],"yoast_head":"<!-- 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