{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T15:48:17Z","timestamp":1780501697488,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T00:00:00Z","timestamp":1731024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,8]]},"DOI":"10.1145\/3716895.3716908","type":"proceedings-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T12:08:41Z","timestamp":1742558921000},"page":"75-80","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Blood Pressure Estimation Using PPG based on UNet-KAN Neural Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0566-0176","authenticated-orcid":false,"given":"Jianhai","family":"Cui","sequence":"first","affiliation":[{"name":"Shenzhen Institute for Advanced Study, UESTC, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0804-282X","authenticated-orcid":false,"given":"Yugeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3983-3178","authenticated-orcid":false,"given":"Can","family":"Wei","sequence":"additional","affiliation":[{"name":"Shenzhen Institute for Advanced Study, UESTC, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6106-7972","authenticated-orcid":false,"given":"Yaohua","family":"Guan","sequence":"additional","affiliation":[{"name":"Shenzhen Institute for Advanced Study, UESTC, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2360-0466","authenticated-orcid":false,"given":"Guisong","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,3,21]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Perm. J","author":"Handler G","year":"2009","unstructured":"G Handler, J. The Importance of Accurate Blood Pressure Measurement. Perm. J, 2009, 13, 51\u201354."},{"key":"e_1_3_3_1_2_2","unstructured":"World Health Organization 2021 The Top 10 Causes of Death. Available online: http:\/\/www.who.int\/mediacentre\/factsheets\/fs310\/en\/."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/08037051.2024.2304190"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","first-page":"101870","DOI":"10.1016\/j.bspc.2020.101870","article-title":"A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure[J]","volume":"2020","author":"El-Hajj","year":"2020","unstructured":"El-Hajj C, Kyriacou P A, 2020 A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure[J]. Biomedical Signal Processing and Control, 2020, 58: 101870..","journal-title":"Biomedical Signal Processing and Control"},{"key":"e_1_3_3_1_5_2","first-page":"3153","volume-title":"Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","author":"Teng X.F.","year":"2003","unstructured":"X.F.Teng and Y.T.Zhang, 2003 \u201cContinuous and noninvasive estimation of arterial blood pressure using a photoplethysmographic approach,\u201d in Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, 17-21 September 2003, pp. 3153-3156."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2013.6555424"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.3390\/s20082338"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP.2016.7501681"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21186022"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00423"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10353-8"},{"issue":"1","key":"e_1_3_3_1_12_2","first-page":"1","article-title":"MIMIC-III, a freely accessible critical care database,\u201d Sci","volume":"3","author":"Johnson A. E. W.","year":"2016","unstructured":"A. E. W. Johnson, T. J. Pollard, L. Shen, L. H. Lehman, M. Feng, M. Ghassemi, B. Moody, P. Szolovits, L. A. Celi, R. G. Mark, 2016 \u201cMIMIC-III, a freely accessible critical care database,\u201d Sci. Data, vol. 3, no. 1, pp. 1-9, May 24, 2016.","journal-title":"Data"},{"issue":"16","key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","first-page":"3420","DOI":"10.3390\/s19153420","article-title":"Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network","volume":"19","author":"Slapni\u010dar G.","year":"2019","unstructured":"G. Slapni\u010dar, N. Mlakar, M. Lu\u0161trek, 2019 \u201cBlood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network,\u201d Sensors, vol. 19, no. 16, p. 3420, 2019.","journal-title":"Sensors"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21186022"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","first-page":"3726","DOI":"10.1109\/TIP.2022.3175432","article-title":"Do-conv: Depthwise over-parameterized convolutional layer","volume":"31","author":"Cao J.","year":"2022","unstructured":"J. Cao, Y. Li, M. Sun, Y. Chen, D. Lischinski, D. Cohen-Or, B. Chen, and C. Tu, 2022 \u201cDo-conv: Depthwise over-parameterized convolutional layer,\u201d IEEE Transactions on Image Processing, vol. 31, pp. 3726-3736, 2022.","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_3_1_16_2","first-page":"55","article-title":"On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition","volume":"28","author":"Kolmogorov A. N.","year":"1957","unstructured":"A. N. Kolmogorov, 1957 \u201cOn the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition,\u201d American Mathematical Society Translations, vol. 28, pp. 55-59, 1957.","journal-title":"American Mathematical Society Translations"},{"key":"e_1_3_3_1_17_2","unstructured":"Z. Liu Y. Wang S. Vaidya F. Ruehle J. Halverson M. Solja\u010di\u0107 T. Y. Hou and M. Tegmark 2024 \u201cKan: Kolmogorov-arnold networks \u201d arXiv preprint arXiv:2404.19756 2024."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21186022"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"He K Zhang X Ren S et al 2016 Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"event":{"name":"ICAICE 2024: The 5th International Conference on Artificial Intelligence and Computer Engineering","location":"Wuhu Shandong China","acronym":"ICAICE 2024"},"container-title":["Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716895.3716908","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3716895.3716908","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:19:16Z","timestamp":1750295956000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716895.3716908"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,8]]},"references-count":21,"alternative-id":["10.1145\/3716895.3716908","10.1145\/3716895"],"URL":"https:\/\/doi.org\/10.1145\/3716895.3716908","relation":{},"subject":[],"published":{"date-parts":[[2024,11,8]]},"assertion":[{"value":"2025-03-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}