{"id":1133,"date":"2026-01-25T22:47:01","date_gmt":"2026-01-25T22:47:01","guid":{"rendered":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/?p=1133"},"modified":"2026-01-26T17:10:40","modified_gmt":"2026-01-26T17:10:40","slug":"week-2","status":"publish","type":"post","link":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/2026\/01\/25\/week-2\/","title":{"rendered":"Week 2"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"579\" src=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-1024x579.jpg\" alt=\"\" class=\"wp-image-1143\" srcset=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-1024x579.jpg 1024w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-300x170.jpg 300w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-768x434.jpg 768w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-1536x869.jpg 1536w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-2048x1158.jpg 2048w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2026\/01\/Screenshot-2026-01-26-at-12.08.47\u202fPM-371x210.jpg 371w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Screenshot<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">From Preprocessing to Fine-Tuning: Building the Foundation for Team Aventusoft<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This was a pivotal week for our team! After spending time establishing our core data strategy, we successfully completed the preprocessing pipelines required to align single-lead data with the <strong>ECG-FM<\/strong> foundation model<sup><\/sup>. We spent the week diving deep into the technical architecture of the <strong>fairseq<\/strong> framework, ensuring that our setup is robust and ready for the computational demands of model training<sup><\/sup><sup><\/sup><sup><\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These foundational steps have moved us from the planning phase into active experimentation, setting the stage for our first supervised fine-tuning runs using single-lead duplicated ECG signals<sup><\/sup><sup><\/sup><sup><\/sup>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Key Accomplishments This Week<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Multi-Channel Signal Synthesis and Validation<\/strong>: We completed preprocessing pipelines to extract Lead I ECG signals and duplicate them across 12 channels. This ensures full compatibility with the ECG-FM foundation model architecture while maintaining signal alignment and normalization.<\/li>\n\n\n\n<li><strong>Architectural Mastery of fairseq-signals<\/strong>: The team conducted an in-depth study of the fairseq and fairseq-signals frameworks. We analyzed model architecture, training pipelines, and the specific mechanisms used to load and freeze pretrained checkpoints for downstream tasks.<\/li>\n\n\n\n<li><strong>Fine-Tuning Infrastructure Ready<\/strong>: We reviewed prior ECG-FM training scripts and documentation to identify the necessary manifests, inputs, and hyperparameters. This preparation was essential to ensure our upcoming fine-tuning runs are efficient and stable.<\/li>\n\n\n\n<li><strong>Data Integrity and Label Mapping<\/strong>: To ensure clinically meaningful results, we established a plan for patient-level training, validation, and test splits to avoid data leakage. We also began generating supervised diagnostic labels for our dataset using clinical metadata and established mappings.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Next Steps: Launching Experiments and Benchmarking<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">With the infrastructure finalized and the project remaining on schedule, next week is all about execution<sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>. We will launch the first fine-tuning experiments using the ECG-FM pretrained checkpoint with our single-lead duplicated inputs<sup><\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A major priority will be monitoring training stability and loss convergence to verify the integration of our new preprocessing pipeline<sup><\/sup>. We will also begin comparing our fine-tuned results against simpler single-lead baseline models to contextualize performance gains<sup><\/sup>. Finally, we will coordinate with our liaison engineers to confirm preferred evaluation metrics like <strong>AUROC<\/strong> and <strong>F1-score<\/strong>, ensuring our model meets the high standards required for clinical disease classification<sup><\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">See you next week!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>From Preprocessing to Fine-Tuning: Building the Foundation for Team Aventusoft This was a pivotal week for our team! After spending time establishing our core data strategy, we successfully completed the preprocessing pipelines required to align single-lead data with the ECG-FM&hellip; <a href=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/2026\/01\/25\/week-2\/\" aria-label=\"Read \\\"Week 2\\\" class=\"read-more\">Read&nbsp;More<\/a><\/p>\n","protected":false},"author":849,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[12],"tags":[],"class_list":["post-1133","post","type-post","status-publish","format-standard","hentry","category-springsemester"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/users\/849"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/comments?post=1133"}],"version-history":[{"count":4,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1133\/revisions"}],"predecessor-version":[{"id":1145,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1133\/revisions\/1145"}],"wp:attachment":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/media?parent=1133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/categories?post=1133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/tags?post=1133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}