{"id":1813,"date":"2025-09-07T13:04:07","date_gmt":"2025-09-07T13:04:07","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1813"},"modified":"2025-09-07T13:04:27","modified_gmt":"2025-09-07T13:04:27","slug":"vol23-no2-art1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol23-no2\/vol23-no2-art1\/","title":{"rendered":"The Usage of Stabilometric Information to Automatically Predict Balance Evaluation Scores"},"content":{"rendered":"<p>Nathan H. C. Zebendo <a href=\"https:\/\/orcid.org\/0009-0000-1928-0944\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Jonathan N. Gois <a href=\"https:\/\/orcid.org\/0000-0002-2859-7668\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Diego R. G. Gonzalez <a href=\"https:\/\/orcid.org\/0000-0001-6578-1280\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Wesley L. Passos <a href=\"https:\/\/orcid.org\/0000-0002-8505-8265\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Gabriel M. Araujo <a href=\"https:\/\/orcid.org\/0000-0002-0033-3265\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>&amp; Amaro A. de Lima <a href=\"https:\/\/orcid.org\/0000-0001-5397-6531\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a><\/p>\n<p><strong>Abstract:<\/strong> This paper proposes automatically estimating postural balance test scores and their subsystems using stabilometry results. These results are obtained using a force platform that captures the variation in the person\u2019s center of pressure position over time. On the other hand, postural balance test scores are conducted by qualified health professionals and comprise the assessment of various subsystems that can provide specific diagnoses separately and, when combined, can form a comprehensive assessment method called the MINI-BESTest. Early diagnosis makes it possible to identify the risk of falls due to advancing age or related limiting illnesses. Using a hierarchical approach, which makes it possible to automate the process and reduce the subjectivity of the assessment, it is possible to estimate the MINI-BESTest score and its Reactive Postural Control subsystem with an accuracy of, respectively, 17% and 20% higher than the state-of-the-art.<\/p>\n<p><strong>Keywords:<\/strong>  Stabilometry; force platform; MINI-BESTest; random forest; support vector regression.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol23-no2-art1\">10.21528\/lnlm-vol23-no2-art1<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2025\/12\/vol23-no2-art1.pdf\">vol23-no2-art1.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2025\/12\/vol23-no2-art1.bib\">vol23-no2-art1.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nathan H. C. Zebendo , Jonathan N. Gois , Diego R. G. Gonzalez , Wesley L. Passos , Gabriel M. Araujo &amp; Amaro A. de Lima Abstract: This paper proposes automatically estimating postural balance test scores and their subsystems using <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol23-no2\/vol23-no2-art1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1811,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1813","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Usage of Stabilometric Information to Automatically Predict Balance Evaluation Scores - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol23-no2\/vol23-no2-art1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Usage of Stabilometric Information to Automatically Predict Balance Evaluation Scores - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Nathan H. C. Zebendo , Jonathan N. Gois , Diego R. G. Gonzalez , Wesley L. Passos , Gabriel M. 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