{"id":1041,"date":"2025-11-08T00:18:31","date_gmt":"2025-11-08T00:18:31","guid":{"rendered":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/?p=1041"},"modified":"2025-11-08T00:25:47","modified_gmt":"2025-11-08T00:25:47","slug":"week-11","status":"publish","type":"post","link":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/2025\/11\/08\/week-11\/","title":{"rendered":"Week 11"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-1024x768.jpeg\" alt=\"\" class=\"wp-image-1045\" srcset=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-1024x768.jpeg 1024w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-300x225.jpeg 300w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-768x576.jpeg 768w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-1536x1152.jpeg 1536w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-2048x1536.jpeg 2048w, https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-content\/uploads\/sites\/209\/2025\/11\/PID-280x210.jpeg 280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Prototype Inspection Day<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">From Public Validation to Pipeline Implementation<\/h2>\n\n\n\n<p>All of our efforts this week were geared toward one major goal: validating our new foundation-model strategy with the wider UF community and beginning the core implementation of our self-supervised pipeline. After a successful presentation at the Prototype Inspection Day (PID), Team BeatNet is now fully focused on building the components necessary to pre-train our model on large-scale datasets.<\/p>\n\n\n\n<p>This week was about turning plans into concrete action\u2014coding the contrastive learning framework, benchmarking encoder backbones, and preparing scripts for downstream fine-tuning.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"defining-our-mission-project-goals-and-data-strate\">Key Accomplishments This Week<\/h2>\n\n\n\n<p><strong>Foundation-Model Strategy Defined:<\/strong><strong>Successful Prototype Inspection Day (PID)<\/strong><br>We presented our prototype progress and foundation-model strategy to UF faculty and alumni. Judges praised the team\u2019s clear communication and cohesive technical direction. Dr. Chenhao Wang highlighted our clarity, Dr. Tingsao Xiao called our foundation-model approach \u201cintuitive and reasonable,\u201d and Dr. Catia Silva encouraged us to begin embedding implementation as soon as possible.<\/p>\n\n\n\n<p><strong>Contrastive Learning Pipeline Initiated<\/strong><br>We began implementing the SimCLR-style contrastive learning pipeline, developing an augmentation module that generates positive pairs through noise, jitter, and scaling\u2014an essential step toward robust patient-invariant embeddings.<\/p>\n\n\n\n<p><strong>Downstream Pipeline Development<\/strong><br>In parallel, we started building the downstream fine-tuning workflow to adapt pretrained embeddings for arrhythmia classification and later for fiducial landmark regression.<\/p>\n\n\n\n<p><strong>Encoder Benchmarking<\/strong><br>We benchmarked multiple 1D encoder backbones\u2014including ResNet1D and EfficientNet1D\u2014to identify the optimal architecture for feature extraction efficiency and downstream transferability.<\/p>\n\n\n\n<p><strong>Improved Communication Flow<\/strong><br>Following judge feedback, the team is also refining presentation visuals, ensuring balanced speaking roles, and better illustrating the link between preprocessing, embedding, and disease classification.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"architecting-our-approach-preprocessing-and-deep-l\"><a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC11817768\/\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a>Next Steps: Pre-training and Visualization<\/h2>\n\n\n\n<p>Next week, we will execute the first pre-training runs on the PTB-XL dataset, finalizing and debugging the contrastive learning script. We will develop a t-SNE visualization notebook to evaluate whether embeddings effectively cluster normal and arrhythmic segments, and improve visualization of time-positional encoding within our Transformer prototype.<\/p>\n\n\n\n<p>We will also begin preparing documentation for the upcoming System Level Design Review (SLDR) and conduct internal comparisons between baseline and foundation-model performance.<\/p>\n\n\n\n<p><strong>See you next week!<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From Public Validation to Pipeline Implementation All of our efforts this week were geared toward one major goal: validating our new foundation-model strategy with the wider UF community and beginning the core implementation of our self-supervised pipeline. After a successful&hellip; <a href=\"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/2025\/11\/08\/week-11\/\" aria-label=\"Read \\\"Week 11\\\" 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":[10],"tags":[],"class_list":["post-1041","post","type-post","status-publish","format-standard","hentry","category-fallsemester"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1041"}],"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=1041"}],"version-history":[{"count":4,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1041\/revisions"}],"predecessor-version":[{"id":1051,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/posts\/1041\/revisions\/1051"}],"wp:attachment":[{"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/media?parent=1041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/categories?post=1041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ippd.ufl.edu\/blogs\/ay2526team03\/wp-json\/wp\/v2\/tags?post=1041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}