{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T17:00:55Z","timestamp":1767114055572,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,12]]},"DOI":"10.1145\/3714394.3754445","type":"proceedings-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T21:13:49Z","timestamp":1767042829000},"page":"387-394","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integration of Wearable Health Device Data and Retinal Imaging for Multimodal Systemic Disease Stratification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6911-7481","authenticated-orcid":false,"given":"Sparsh","family":"Rastogi","sequence":"first","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1333-8585","authenticated-orcid":false,"given":"Akshat","family":"Bakshi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5410-9089","authenticated-orcid":false,"given":"Khushboo","family":"Modi","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7948-6992","authenticated-orcid":false,"given":"Sahil","family":"Thakur","sequence":"additional","affiliation":[{"name":"Medical Affairs, Mediwhale, Seoul, Republic of Korea and Department of Opthalmology, Singapore Eye Research Institute, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6081-7555","authenticated-orcid":false,"given":"Vinay","family":"Arora","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Salar Abbaspourazad Oussama Elachqar Andrew C Miller Saba Emrani Udhyakumar Nallasamy and Ian Shapiro. 2023. Large-scale training of foundation models for wearable biosignals. (2023). arXiv:2312.05409 [cs.LG]"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00465-w"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01547-9"},{"key":"e_1_3_2_2_4_1","first-page":"1","article-title":"Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson's disease. Sci","volume":"8","author":"Daneault Jean-Francois","year":"2021","unstructured":"Jean-Francois Daneault, Gloria Vergara-Diaz, Federico Parisi, Chen Admati, Christina Alfonso, Matilde Bertoli, Edoardo Bonizzoni, Gabriela Ferreira Carvalho, Gianluca Costante, Eric Eduardo Fabara, Naama Fixler, Fatemah Noushin Golabchi, John Growdon, Stefano Sapienza, Phil Snyder, Shahar Shpigelman, Lewis Sudarsky, Margaret Daeschler, Lauren Bataille, Solveig K Sieberts, Larsson Omberg, Steven Moore, and Paolo Bonato. 2021. Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson's disease. Sci. Data 8, 1 (Feb. 2021), 48.","journal-title":"Data"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/jpm14010045"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0169649"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.14.3.13"},{"key":"e_1_3_2_2_8_1","first-page":"1","article-title":"Retinal vessel caliber and cognitive performance: the multi-ethnic study of atherosclerosis (MESA). Sci","volume":"14","author":"Husseini Nada El","year":"2024","unstructured":"Nada El Husseini, Christopher L Schaich, Suzanne Craft, Stephen R Rapp, Kathleen M Hayden, Richey Sharrett, Mary Frances Cotch, Tien Y Wong, Jose A Luchsinger, Mark A Espeland, Laura D Baker, Alain G Bertoni, and Timothy M Hughes. 2024. Retinal vessel caliber and cognitive performance: the multi-ethnic study of atherosclerosis (MESA). Sci. Rep. 14, 1 (Feb. 2024), 4120.","journal-title":"Rep."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Justin Engelmann Diana Moukaddem Lucas Gago Niall Strang and Miguel O Bernabeu. 2024. Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph. (2024). arXiv:2403.06950 [q-bio.QM]","DOI":"10.1167\/iovs.65.6.10"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.022"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.022"},{"key":"e_1_3_2_2_12_1","volume-title":"Association of retinal microvascular density and complexity with incident coronary heart disease. Atherosclerosis 380 (Sept","author":"Fu Yuechuan","year":"2023","unstructured":"Yuechuan Fu, Mayinuer Yusufu, Yueye Wang, Mingguang He, Danli Shi, and RuobingWang. 2023. Association of retinal microvascular density and complexity with incident coronary heart disease. Atherosclerosis 380 (Sept. 2023), 117196."},{"key":"e_1_3_2_2_13_1","first-page":"9","article-title":"The myth of generalisability in clinical research and machine learning in health care","volume":"2","author":"Futoma Joseph","year":"2020","unstructured":"Joseph Futoma, Morgan Simons, Trishan Panch, Finale Doshi-Velez, and Leo Anthony Celi. 2020. The myth of generalisability in clinical research and machine learning in health care. Lancet Digit. Health 2, 9 (Sept. 2020), e489--e492.","journal-title":"Lancet Digit. Health"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.65.13.24"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-017-0867-x"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCRESAHA.122.322389"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1097\/HJH.0b013e3283310f7e"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1076\/ceyr.27.3.143.16049"},{"key":"e_1_3_2_2_19_1","volume-title":"Johan Bierkens, Patrick De Boever, and Ingeborg Stalmans.","author":"Lemmens Sophie","year":"2020","unstructured":"Sophie Lemmens, Astrid Devulder, Karel Van Keer, Johan Bierkens, Patrick De Boever, and Ingeborg Stalmans. 2020. Systematic review on fractal dimension of the retinal vasculature in neurodegeneration and stroke: Assessment of a potential biomarker. Front. Neurosci. 14 (Jan. 2020), 16."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.120.031886"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.120.031886"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101714"},{"key":"e_1_3_2_2_23_1","unstructured":"National Heart Lung and Blood Institute. 2024. Atherosclerosis Risk in Communities (ARIC) Study. https:\/\/www.nhlbi.nih.gov\/science\/atherosclerosis-riskcommunities- aric-study Accessed: 2025-04--30."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-7580.2005.00395.x"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090918"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090918"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001953"},{"key":"e_1_3_2_2_28_1","series-title":"Lecture Notes in Computer Science","volume-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"Ronneberger Olaf","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In Lecture Notes in Computer Science. Springer International Publishing, Cham, 234--241."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-021-05499-z"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2011.06.005"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23239498"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00418-3"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2889534"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191769"},{"key":"e_1_3_2_2_35_1","volume-title":"Jamie Stark, et al.","author":"Truslow James","year":"2024","unstructured":"James Truslow, Angela Spillane, Huiming Lin, Katherine Cyr, Adeeti Ullal, Edith Arnold, Ron Huang, Laura Rhodes, Jennifer Block, Jamie Stark, et al. 2024. Understanding activity and physiology at scale: The Apple Heart & Movement Study. npj Digital Medicine 7, 1 (2024), 242."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-023-04836-9"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.9.2.6"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.9.2.6"},{"key":"e_1_3_2_2_39_1","first-page":"6","article-title":"Retinal vascular caliber, cardiovascular risk factors, and inflammation: the multi-ethnic study of atherosclerosis (MESA)","volume":"47","author":"YinWong Tien","year":"2006","unstructured":"Tien YinWong, F M Amirul Islam, Ronald Klein, Barbara E K Klein, Mary Frances Cotch, Cecilia Castro, A Richey Sharrett, and Eyal Shahar. 2006. Retinal vascular caliber, cardiovascular risk factors, and inflammation: the multi-ethnic study of atherosclerosis (MESA). Invest. Ophthalmol. Vis. Sci. 47, 6 (June 2006), 2341--2350.","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(01)06253-5"},{"key":"e_1_3_2_2_41_1","first-page":"9","article-title":"Retinal arteriolar narrowing and risk of coronary heart disease in men and women","volume":"287","author":"YinWong Tien","year":"2002","unstructured":"Tien YinWong, Ronald Klein, A Richey Sharrett, Bruce B Duncan, David J Couper, JamesMTielsch, Barbara E K Klein, and Larry D Hubbard. 2002. Retinal arteriolar narrowing and risk of coronary heart disease in men and women. JAMA 287, 9 (March 2002).","journal-title":"JAMA"},{"key":"e_1_3_2_2_42_1","volume-title":"Association of retinal fractal dimension and vessel tortuosity with impaired renal function among healthy Chinese adults. Front. Med. (Lausanne) 9 (Sept","author":"Wu Linbin","year":"2022","unstructured":"Linbin Wu, Xia Gong, Wei Wang, Lei Zhang, Jiachen Zhou, Xi Ming, Meng Yuan, Wenyong Huang, and Lanhua Wang. 2022. Association of retinal fractal dimension and vessel tortuosity with impaired renal function among healthy Chinese adults. Front. Med. (Lausanne) 9 (Sept. 2022), 925756."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01062-3"},{"key":"e_1_3_2_2_44_1","volume-title":"A refined equilibrium generative adversarial network for retinal vessel segmentation. Neurocomputing 437 (May","author":"Zhou Yukun","year":"2021","unstructured":"Yukun Zhou, Zailiang Chen, Hailan Shen, Xianxian Zheng, Rongchang Zhao, and Xuanchu Duan. 2021. A refined equilibrium generative adversarial network for retinal vessel segmentation. Neurocomputing 437 (May 2021), 118--130."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06555-x"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1167\/tvst.11.7.12"}],"event":{"name":"UbiComp '25:The 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing \/ ISWC ACM International Symposium on Wearable Computers","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Espoo Finland"},"container-title":["Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3714394.3754445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T16:57:51Z","timestamp":1767113871000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3714394.3754445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":46,"alternative-id":["10.1145\/3714394.3754445","10.1145\/3714394"],"URL":"https:\/\/doi.org\/10.1145\/3714394.3754445","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-12-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}