{"id":1921,"date":"2025-04-08T17:01:52","date_gmt":"2025-04-08T15:01:52","guid":{"rendered":"https:\/\/sites.unica.it\/medsp\/?p=1921"},"modified":"2025-04-08T17:02:29","modified_gmt":"2025-04-08T15:02:29","slug":"unica-sleep-hrv-analysis-unica-hrv-tool","status":"publish","type":"post","link":"https:\/\/sites.unica.it\/medsp\/2025\/04\/08\/unica-sleep-hrv-analysis-unica-hrv-tool\/","title":{"rendered":"UNICA Sleep HRV analysis (UNICA-HRV) tool"},"content":{"rendered":"\n

We released our tool for heart rate variability (HRV) analysis during sleep!\u00a0<\/p>\n\n\n\n

The UNICA Sleep HRV analysis (UNICA-HRV)\u00a0tool is a novel, open-source MATLAB tool designed to fill the gap in current HRV analysis tools. In particular, the integration of ECG and HRV data with hypnogram information, which illustrates the progression through the different sleep stages, eases the computation of HRV metrics in polysomnographic recordings. This integration is crucial for accurate phase-specific analysis, as autonomic regulation changes markedly across different sleep stages. The tool supports single- and multiple-subject analyses and is tailored to enhance usability and accessibility for researchers and clinicians without requiring extensive technical expertise. It implements and supports a variety of data inputs and configurations, allowing for flexible, detailed HRV analyses across sleep stages, employing classical and advanced metrics, such as time-domain, frequency-domain, non-linear, complexity, and Poincar\u00e9 plot indexes. <\/p>\n\n\n\n

You can use the tool as it is or integrate it with new features, as it is open-source (licensed under a Creative Commons Attribution 4.0 International License). Have a look at the manuscript<\/a> published on Physiological Measurement, and download the MATLAB tool here<\/a>.<\/p>\n\n\n\n

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<\/p>\n","protected":false},"excerpt":{"rendered":"

We released our tool for heart rate variability (HRV) analysis during sleep!\u00a0 The UNICA Sleep HRV analysis (UNICA-HRV)\u00a0tool is a novel, open-source MATLAB tool designed to fill the gap in...<\/p>\n","protected":false},"author":1910,"featured_media":1922,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,16],"tags":[],"class_list":["post-1921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-papers-and-research-articles"],"_links":{"self":[{"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/posts\/1921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/users\/1910"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/comments?post=1921"}],"version-history":[{"count":1,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/posts\/1921\/revisions"}],"predecessor-version":[{"id":1923,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/posts\/1921\/revisions\/1923"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/media\/1922"}],"wp:attachment":[{"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/media?parent=1921"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/categories?post=1921"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.unica.it\/medsp\/wp-json\/wp\/v2\/tags?post=1921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}