{"id":136813,"date":"2022-03-13T23:21:59","date_gmt":"2022-03-14T06:21:59","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/03\/new-algorithm-could-help-enable-next-generation-deep-brain-stimulation-devices"},"modified":"2022-03-13T23:21:59","modified_gmt":"2022-03-14T06:21:59","slug":"new-algorithm-could-help-enable-next-generation-deep-brain-stimulation-devices","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/03\/new-algorithm-could-help-enable-next-generation-deep-brain-stimulation-devices","title":{"rendered":"New algorithm could help enable next-generation deep brain stimulation devices"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-algorithm-could-help-enable-next-generation-deep-brain-stimulation-devices2.jpg\"><\/a><\/p>\n<p>Now, a <a href=\"https:\/\/medicalxpress.com\/tags\/new+algorithm\/\" rel=\"tag\" class=\"\">new algorithm<\/a> developed by Brown University bioengineers could be an important step toward such adaptive DBS. The algorithm removes a key hurdle that makes it difficult for DBS systems to sense <a href=\"https:\/\/medicalxpress.com\/tags\/brain+signals\/\" rel=\"tag\" class=\"\">brain signals<\/a> while simultaneously delivering <a href=\"https:\/\/medicalxpress.com\/tags\/stimulation\/\" rel=\"tag\" class=\"\">stimulation<\/a>.<\/p>\n<p>\u201cWe know that there are <a href=\"https:\/\/medicalxpress.com\/tags\/electrical+signals\/\" rel=\"tag\" class=\"\">electrical signals<\/a> in the <a href=\"https:\/\/medicalxpress.com\/tags\/brain\/\" rel=\"tag\" class=\"\">brain<\/a> associated with disease states, and we\u2019d like to be able to record those signals and use them to adjust neuromodulation therapy automatically,\u201d said David Borton, an assistant professor of biomedical engineering at Brown and corresponding author of a study describing the algorithm. \u201cThe problem is that stimulation creates electrical artifacts that corrupt the signals we\u2019re trying to record. So we\u2019ve developed a means of identifying and removing those artifacts, so all that\u2019s left is the signal of interest from the brain.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Now, a new algorithm developed by Brown University bioengineers could be an important step toward such adaptive DBS. The algorithm removes a key hurdle that makes it difficult for DBS systems to sense brain signals while simultaneously delivering stimulation. \u201cWe know that there are electrical signals in the brain associated with disease states, and we\u2019d [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1902,11,41,47],"tags":[],"class_list":["post-136813","post","type-post","status-publish","format-standard","hentry","category-bioengineering","category-biotech-medical","category-information-science","category-neuroscience"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/136813","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=136813"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/136813\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=136813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=136813"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=136813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}