{"id":202,"date":"2019-05-17T13:21:22","date_gmt":"2019-05-17T12:21:22","guid":{"rendered":"http:\/\/blog.uclm.es\/raulalcaraz\/?page_id=202"},"modified":"2019-05-17T13:21:22","modified_gmt":"2019-05-17T12:21:22","slug":"downloads","status":"publish","type":"page","link":"https:\/\/blog.uclm.es\/raulalcaraz\/downloads\/","title":{"rendered":"DOWNLOADS"},"content":{"rendered":"<p><strong>DATABASE FOR VALIDATION OF METHODS OF EXTRACTION OF ATRIAL FIBRILATORY WAVES IN THE ECG<\/strong><\/p>\n<p>This is a database composed of simulated ECG signals for validation of f-wave extraction algorithms. This dataset not only facilities the comparison of performance, but it highlights a broader set of signal characteristics than the dates which so far have been used in previous studies. The included signals features are well-known to represent major challenges in f-wave extraction, therefore including high heart rates, high morphological QRST variability, the presence of ventricular premature beats, different f-wave amplitude and repetition rates, and f-wave morphology involving a stochastic component.<\/p>\n<p>The database includes a total of 240 signals, which are divided into eight sets (labeled S1-S8). Each set includes 30 signals with six different values of amplitude (5, 10, 20, 30, 40, 50 uV), 5 minutes in length and different combinations of the above-mentioned features. These sets of signals can be downloaded from the links below.<\/p>\n<p>For more details, please refer to the work: R. Alcaraz, JJ. Rieta, L. S\u00f6rnmo, \u00abReference Database and Performance Evaluation of Methods for Extraction of Atrial Fibrillatory Waves in the ECG\u00bb, Physiological Measurement, 2019: under review.<\/p>\n<p><em>Download Links:<\/em> <a href=\"https:\/\/mega.nz\/file\/vREGTbZJ#mYxtVGkbWjgTW6hZsgAriZ14rPsisybxC6BMqfXCWcc\">S1<\/a> <a href=\"https:\/\/mega.nz\/file\/DBNkVJ4A#42W2Go9oRFxXrUYWXv0vRB5kmI_Usgkj4sj_EaOB-Ww\">S2<\/a> <a href=\"https:\/\/mega.nz\/file\/zQFgQTJL#ZnkXgFnrT3kItyEM8-RfdCgIgvU6D75PO5ktmjQW8RQ\">S3<\/a> <a href=\"https:\/\/mega.nz\/file\/LMFyGDQR#uuN-mI-_Y6-ZszEVpohfk0pQCyYi0PcaObcJaoAiu8c\">S4<\/a> <a href=\"https:\/\/mega.nz\/file\/3FUUTRgR#bKO0Sf9bn4HUmDTNWRNZmyZFplekVjsTzeDbN6Gu2-M\">S5<\/a> <a href=\"https:\/\/mega.nz\/file\/XJE0XJ6R#v5fvkoLqkOlpUfjKy6r3U17qnzFH0ztanBWAX7MvVmk\">S6<\/a> <a href=\"https:\/\/mega.nz\/file\/fMcmzTLA#n7WT2l_Fh8mpY1v6olGLzwE558rSjC0dOx9zN_X7SNo\">S7<\/a> <a href=\"https:\/\/mega.nz\/file\/aAMQmRoY#0GT4B8Vn0OnDvxFm0qpf5vq1pmhSxyAsNm3E1uUK864\">S8<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>DATABASE FOR VALIDATION OF METHODS OF EXTRACTION OF ATRIAL FIBRILATORY WAVES IN THE ECG This is a database composed of simulated ECG signals for validation of f-wave extraction algorithms. This dataset not only facilities the comparison of performance, but it highlights a broader set of signal characteristics than the dates which so far have been [&hellip;]<\/p>\n","protected":false},"author":56,"featured_media":0,"parent":0,"menu_order":7,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-202","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages\/202","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/users\/56"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/comments?post=202"}],"version-history":[{"count":0,"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/pages\/202\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.uclm.es\/raulalcaraz\/wp-json\/wp\/v2\/media?parent=202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}