{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:18:04Z","timestamp":1774419484414,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018696","name":"Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018696","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10889573","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:52:43Z","timestamp":1741787563000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring"],"prefix":"10.1109","author":[{"given":"Rayan","family":"Ansari","sequence":"first","affiliation":[{"name":"Stanford University School of Engineering,Department of Bioengineering,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Cao","sequence":"additional","affiliation":[{"name":"Stanford University School of Engineering,Department of Electrical Engineering,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sabyasachi","family":"Bandyopadhyay","sequence":"additional","affiliation":[{"name":"Stanford University School of Medicine,Department of Medicine,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjiv M.","family":"Narayan","sequence":"additional","affiliation":[{"name":"Stanford University School of Medicine,Department of Cardiovascular Medicine,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert J.","family":"Rogers","sequence":"additional","affiliation":[{"name":"Stanford University School of Medicine,Department of Cardiovascular Medicine,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mert","family":"Pilanci","sequence":"additional","affiliation":[{"name":"Stanford University School of Engineering,Department of Electrical Engineering,Stanford,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccl.2006.04.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1054\/jelc.2000.20296"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jelectrocard.2003.10.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.1700413"},{"issue":"1","key":"ref5","first-page":"47","article-title":"The Reconstruction of a 12-Lead Electrocardiogram from a Reduced Lead Set Using a Focus Time-Delay Neural Network","volume":"37","author":"Smith","year":"2021","journal-title":"Acta Cardiologica Sinica"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43990-2_18"},{"key":"ref7","first-page":"7695","article-title":"Neural networks are convex regularizers: Exact polynomial-time convex optimization formulations for two-layer networks","volume-title":"International Conference on Machine Learning","author":"Pilanci"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.07.021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref10","article-title":"From complexity to clarity: Analytical expressions of deep neural network weights via clifford\u2019s geometric algebra and convexity","author":"Pilanci","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-59259-835-9_15"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-009-9257-x"},{"issue":"83","key":"ref13","first-page":"1","article-title":"CVXPY: A Python-embedded modeling language for convex optimization","volume":"17","author":"Diamond","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/23307706.2017.1397554"},{"key":"ref15","article-title":"Mosek: Python API for Mosek","author":"ApS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01332-6"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10889573.pdf?arnumber=10889573","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:23:04Z","timestamp":1774416184000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10889573\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10889573","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}