{"id":58524,"date":"2021-05-31T16:15:17","date_gmt":"2021-05-31T10:45:17","guid":{"rendered":"http:\/\/10.50.225.10\/deie\/?post_type=dt_portfolio&#038;p=58524"},"modified":"2021-05-31T16:25:03","modified_gmt":"2021-05-31T10:55:03","slug":"non-invasive-technique-to-automate-the-general-movements-assessment","status":"publish","type":"dt_portfolio","link":"https:\/\/www.eng.ruh.ac.lk\/deie\/project\/non-invasive-technique-to-automate-the-general-movements-assessment\/","title":{"rendered":"Non-invasive Technique to Automate the General Movements Assessment"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row equal_height=&#8221;yes&#8221; content_placement=&#8221;top&#8221; type=&#8221;vc_default&#8221; css=&#8221;.vc_custom_1584702595643{padding-bottom: 20px !important;}&#8221;][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1572893353553{padding-bottom: 50px !important;}&#8221;]<div id=\"ultimate-heading-121369e7833364cdf\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-121369e7833364cdf uvc-7237  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-121369e7833364cdf h3'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h3 style=\"font-weight:bold;margin-bottom:30px;\">Non-invasive Technique to Automate the General Movements Assessment<\/h3><\/div><\/div>[vc_column_text css=&#8221;.vc_custom_1622457564801{margin-bottom: 30px !important;border-left-width: 3px !important;padding-left: 20px !important;border-left-color: rgba(0,0,0,0.1) !important;border-left-style: solid !important;}&#8221;]<span style=\"font-weight: 400;\">\u00a0G. Hewavitharana,<\/span><span style=\"font-weight: 400;\"> I. Manawadu, <\/span><span style=\"font-weight: 400;\">R. Pytathma, <\/span><span style=\"font-weight: 400;\">D. P. M. H. Dharmananda, <\/span><span style=\"font-weight: 400;\">\u00a0A. Wimalasena, S. Gunawardhana<\/span>[\/vc_column_text][vc_column_text]<span style=\"font-weight: 400;\">This project features the first phase of designing a machine learning model to automate the General Movement Assessment using infant video library at Karapitiya Teaching Hospital.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Key Words:\u00a0<\/span><span style=\"font-weight: 400;\">Cerebral Palsy, GMA, Automating GMA, Fidgety Movements, Writhing\u00a0 Movements,<\/span>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1572893349347{padding-bottom: 50px !important;}&#8221;]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.shortcode-single-image-wrap.shortcode-single-image-18df302e34d176bac7fb6458b9961e32.enable-bg-rollover .rollover i,\n.shortcode-single-image-wrap.shortcode-single-image-18df302e34d176bac7fb6458b9961e32.enable-bg-rollover .rollover-video i {\n  background: -webkit-linear-gradient();\n  background: linear-gradient();\n}\n.shortcode-single-image-wrap.shortcode-single-image-18df302e34d176bac7fb6458b9961e32 .rollover-icon {\n  font-size: 32px;\n  color: #ffffff;\n  min-width: 44px;\n  min-height: 44px;\n  line-height: 44px;\n  border-radius: 100px;\n  border-style: solid;\n  border-width: 0px;\n}\n.dt-icon-bg-on.shortcode-single-image-wrap.shortcode-single-image-18df302e34d176bac7fb6458b9961e32 .rollover-icon {\n  background: rgba(255,255,255,0.3);\n  box-shadow: none;\n}\n<\/style>[\/vc_column][vc_column]<div id=\"ultimate-heading-49669e783336518b\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-49669e783336518b uvc-9534  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"center\" style=\"text-align:center\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-49669e783336518b h3'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h3 style=\"--font-weight:theme;\">Overview<\/h3><\/div><\/div>[vc_column_text]<span style=\"font-weight: 400;\">General Movement Assessment (GMA) is a non-invasive way to detect neurological conditions that may contribute to Cerebral Palsy(CP) and other physical disorders. It can be carried out from childbirth to 3 months of age. The assessment is conducted by observing the child as they lay in a neutral environment recorded and examined by a well-trained panel of physicians. Therefore, coaching and preservation of assessment expertise are vitally important and it is a costly process to maintain the consistency of the of GMA. However, trained physicians are scarce, and scaling up the number of evaluations is hectic and may result in higher risks for losing accuracy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">On the other hand, automating the assessment increases the repeatability, availability, and in the long run can improve the accuracy of the diagnosis. There are standard Machine learning (ML) based models for face, object, and movement recognition. However, GMA requires the classification of movements to distinguish between normal and abnormal movements of an infant.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This work develops a machine learning model based on 2D image processing to distinguish between normal and abnormal movements and validate the model using a sample data set obtained from Paediatric Neuro Unit, Karapitiya Teaching Hospital. Due<\/span><\/p>\n<p><span style=\"font-weight: 400;\">to pandemic situation of the country, obtaining the ethical clearance to use the infant dataset got delayed and as the first step a machine learning model is developed to classify the different movements using a dataset generated using adults.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Ethical clearance was obtained in April 2021 and the classification of infant movements are in progress.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Project Contacts:\u00a0\u00a0<\/span><span style=\"font-weight: 400;\">Dr. Subodha Gunawardena (subodha@eie.ruh.ac.lk)<\/span><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; bg_type=&#8221;image&#8221; bg_override=&#8221;ex-full&#8221; type=&#8221;vc_default&#8221; css=&#8221;.vc_custom_1572893362996{padding-bottom: 70px !important;}&#8221;][vc_column offset=&#8221;vc_col-lg-offset-0 vc_col-lg-12 vc_col-md-offset-0 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data-speed=\"800\" data-autoplay=\"false\" data-autoplay_speed=\"6000\" data-arrows=\"true\" data-bullet=\"false\" data-next-icon=\"icon-ar-017-r\" data-prev-icon=\"icon-ar-017-l\" data-img-shadow-size=\"12px\" data-img-shadow-spread=\"3px\"><div data-post-id=\"58527\" data-date=\"2021-05-31T16:13:24+05:30\" data-name=\"Subodha_GMA-2 (1)\"><figure class=\"post\"><a href=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-2-1.jpg\" class=\"rollover dt-pswp-item layzr-bg\" data-large_image_width=\"1809\" data-large_image_height=\"637\" data-dt-img-description=\"\" title=\"Subodha_GMA-2 (1)\"><img class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20477%20636&#39;%2F%3E\" data-src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-2-1-477x636.jpg\" data-srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-2-1-477x636.jpg 477w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-2-1-477x637.jpg 477w\" loading=\"eager\" style=\"--ratio: 477 \/ 636\" sizes=\"(max-width: 477px) 100vw, 477px\" alt=\"\" width=\"477\" height=\"636\"  \/><span class=\"gallery-rollover\"><span class=\"gallery-zoom-ico icomoon-the7-font-the7-zoom-06\"><span><\/span><\/span><\/span><\/a><\/figure><\/div><div data-post-id=\"58526\" data-date=\"2021-05-31T16:12:59+05:30\" data-name=\"Subodha_GMA-1\"><figure class=\"post\"><a href=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-1.png\" class=\"rollover dt-pswp-item layzr-bg\" data-large_image_width=\"1279\" data-large_image_height=\"669\" data-dt-img-description=\"\" title=\"Subodha_GMA-1\"><img class=\"preload-me owl-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20501%20668&#39;%2F%3E\" data-src=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-1-501x668.png\" data-srcset=\"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-1-501x668.png 501w, https:\/\/www.eng.ruh.ac.lk\/deie\/wp-content\/uploads\/2021\/05\/Subodha_GMA-1-501x669.png 501w\" loading=\"eager\" style=\"--ratio: 501 \/ 668\" sizes=\"(max-width: 501px) 100vw, 501px\" alt=\"\" width=\"501\" height=\"668\"  \/><span class=\"gallery-rollover\"><span class=\"gallery-zoom-ico icomoon-the7-font-the7-zoom-06\"><span><\/span><\/span><\/span><\/a><\/figure><\/div><\/div>[\/vc_column][\/vc_row][vc_row equal_height=&#8221;yes&#8221; content_placement=&#8221;top&#8221; type=&#8221;vc_default&#8221; el_class=&#8221;reverse-row-on-mobile&#8221; css=&#8221;.vc_custom_1572893387563{margin-bottom: -40px !important;}&#8221;][vc_column]<div id=\"ultimate-heading-404069e78333667aa\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-404069e78333667aa uvc-1965  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"center\" style=\"text-align:center\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-404069e78333667aa h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">Publications<\/h2><\/div><\/div><div class=\"standard-arrow list-divider bullet-top\"><ul>\n<li><span style=\"font-weight: 400;\">I. Manawadu, S. Gunawardena, N. Madhusanka, and D Rathnayake, \u201cAn Approach Towards Detecting Circular Fidgety Movements Using Machine Learning\u201d, in Proceeding of 2nd IEEE INCET2021, May 2021.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">I. Manawadu, S. Gunawardena, L. Yasakethu, N. Madhusanka, and D Rathnayake, \u201cEffect Of The Video Frame Rate On the Precision of Detecting Circular Fidgety Movements Using Machine Learning<\/span><span style=\"font-weight: 400;\">\u201d, <\/span><span style=\"font-weight: 400;\">accepted for publication in Proceeding of ASIANCON 2021, Aug 2021<\/span><\/li>\n<\/ul>\n<\/div>[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row equal_height=&#8221;yes&#8221; content_placement=&#8221;top&#8221; type=&#8221;vc_default&#8221; css=&#8221;.vc_custom_1584702595643{padding-bottom: 20px !important;}&#8221;][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1572893353553{padding-bottom: 50px !important;}&#8221;][vc_column_text css=&#8221;.vc_custom_1622457564801{margin-bottom: 30px !important;border-left-width: 3px !important;padding-left: 20px !important;border-left-color: rgba(0,0,0,0.1) !important;border-left-style: solid !important;}&#8221;]\u00a0G. Hewavitharana, I. Manawadu, R. Pytathma, D. P. M. H. Dharmananda, \u00a0A. Wimalasena, S. Gunawardhana[\/vc_column_text][vc_column_text]This project features the first phase of designing a machine learning model to automate the General Movement Assessment using infant&hellip;<\/p>\n","protected":false},"author":9,"featured_media":58526,"comment_status":"closed","ping_status":"closed","template":"","dt_portfolio_category":[99,112,107],"dt_portfolio_tags":[],"_links":{"self":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio\/58524"}],"collection":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio"}],"about":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/types\/dt_portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/comments?post=58524"}],"version-history":[{"count":4,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio\/58524\/revisions"}],"predecessor-version":[{"id":58531,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio\/58524\/revisions\/58531"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/media\/58526"}],"wp:attachment":[{"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/media?parent=58524"}],"wp:term":[{"taxonomy":"dt_portfolio_category","embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio_category?post=58524"},{"taxonomy":"dt_portfolio_tags","embeddable":true,"href":"https:\/\/www.eng.ruh.ac.lk\/deie\/wp-json\/wp\/v2\/dt_portfolio_tags?post=58524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}