{"id":1779,"date":"2022-10-20T01:00:00","date_gmt":"2022-10-20T01:00:00","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/icvl\/?p=1779"},"modified":"2025-07-30T06:38:22","modified_gmt":"2025-07-30T06:38:22","slug":"an-investigation-on-ecg-based-cardiological-diagnosis-via-deep-learning-models","status":"publish","type":"post","link":"https:\/\/wp.lancs.ac.uk\/icvl\/2022\/10\/20\/an-investigation-on-ecg-based-cardiological-diagnosis-via-deep-learning-models\/","title":{"rendered":"An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models"},"content":{"rendered":"\n<p>Meehan A, Zhang Z, Williams B, Jiang R. An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models. InRecent Advances in AI-enabled Automated Medical Diagnosis 2022 Oct 20 (pp. 304-316). CRC Press.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p>This paper compares three of the most popular and suitable types of neural networks for identifying abnormalities in ECG data. The ECG data set used was carefully and meaningfully pre-processed and aligned with the time dimension between samples. A 2-layer Convolutional Neural Network performed best across 25 train-test trials, achieving an accuracy of 99.2%. A 3-layer MLP also performed well, achieving an accuracy of 98.8%, but the LSTM network couldn&#8217;t match either&#8217;s performance with an accuracy of 97.9%. Further studies could consider more realistic and complex ECG data, as a continuous-time series, with live simultaneous inputs from several different sensors. Similarly, more sophisticated multi-class classification could be applied for different types of arrhythmias. These datasets are likely to require deeper and more sophisticated neural networks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meehan A, Zhang Z, Williams B, Jiang R. In Recent Advances in AI-enabled Automated Medical Diagnosis 2022 Oct 20 (pp. 304-316). CRC Press.<\/p>\n","protected":false},"author":1442,"featured_media":2868,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[12],"tags":[23,24,32],"class_list":["post-1779","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-journal-paper","tag-bryan-m-williams","tag-diagnosis","tag-medical-imaging"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/wp.lancs.ac.uk\/icvl\/files\/2022\/10\/image.png?fit=1024%2C768&ssl=1","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/posts\/1779","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/users\/1442"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/comments?post=1779"}],"version-history":[{"count":1,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/posts\/1779\/revisions"}],"predecessor-version":[{"id":1780,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/posts\/1779\/revisions\/1780"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/media\/2868"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/media?parent=1779"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/categories?post=1779"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/icvl\/wp-json\/wp\/v2\/tags?post=1779"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}