{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T16:38:58Z","timestamp":1774456738731,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/iscas51556.2021.9401083","type":"proceedings-article","created":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T21:33:36Z","timestamp":1619559216000},"page":"1-5","source":"Crossref","is-referenced-by-count":38,"title":["Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge"],"prefix":"10.1109","author":[{"given":"Taiyu","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Lei","family":"Kuang","sequence":"additional","affiliation":[]},{"given":"Kezhi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Junming","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Pau","family":"Herrero","sequence":"additional","affiliation":[]},{"given":"Pantelis","family":"Georgiou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3014556"},{"key":"ref10","first-page":"1","article-title":"Dilated recurrent neural networks for glucose forecasting in type 1 diabetes","author":"zhu","year":"2020","journal-title":"Healthcare Informatics Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NEUREL.2018.8586990"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2919184"},{"key":"ref13","article-title":"GluNet: A deep learning framework for accurate glucose forecasting","author":"li","year":"2019","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856940"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2946693"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0059-3"},{"key":"ref17","first-page":"1","article-title":"Enabling deep learning at the LoT edge","author":"lai","year":"2018","journal-title":"2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref19","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"ICML&#x2019;10"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2009.0076"},{"key":"ref4","first-page":"1","article-title":"Deep Learning for Diabetes: A Systematic Review","author":"zhu","year":"2020","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2219876"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.07.007"},{"key":"ref6","first-page":"69","article-title":"Dilated recurrent neural network for short-time prediction of glucose concentration","author":"chen","year":"2018","journal-title":"The 3rd KDH workshop IJCAI-ECAI 2018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s20185058"},{"key":"ref5","first-page":"64","article-title":"A deep learning algorithm for personalized blood glucose prediction","author":"zhu","year":"2018","journal-title":"The 3rd International Workshop on Knowledge Discovery in Healthcare Data IJCAI-ECAI"},{"key":"ref8","first-page":"105","article-title":"Deep residual time-series forecasting: Application to blood glucose prediction","author":"rubin-falcone","year":"2020","journal-title":"The 5th KDH workshop ECAI 2020"},{"key":"ref7","first-page":"90","article-title":"Blood glucose prediction for type 1 diabetes using generative adversarial networks","author":"zhu","year":"2020","journal-title":"The 5th KDH workshop ECAI 2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/1932296819881456"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.038"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2019.107843"},{"key":"ref20","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations ICLR 2015"},{"key":"ref22","article-title":"X-Cube-AI: AI expansion pack for STM32CubeMX, STMicroelectronics","year":"0"},{"key":"ref21","article-title":"Datasheet of TM32F303xD STM32F303xE","year":"0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2185234"},{"key":"ref23","first-page":"71","article-title":"The OhioT1DM dataset for blood glucose level prediction: Update 2020","author":"marling","year":"2020","journal-title":"The 5th KDH workshop ECAI 2020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2012.6346567"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.10.5.622"}],"event":{"name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Daegu, Korea","start":{"date-parts":[[2021,5,22]]},"end":{"date-parts":[[2021,5,28]]}},"container-title":["2021 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9401028\/9401051\/09401083.pdf?arnumber=9401083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:10Z","timestamp":1652197450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9401083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/iscas51556.2021.9401083","relation":{},"subject":[],"published":{"date-parts":[[2021,5]]}}}