{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T03:12:56Z","timestamp":1782789176076,"version":"3.54.5"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,23]],"date-time":"2023-07-23T00:00:00Z","timestamp":1690070400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,23]],"date-time":"2023-07-23T00:00:00Z","timestamp":1690070400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004359","name":"Swedish Research Council (VR)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,23]]},"DOI":"10.1109\/coins57856.2023.10189269","type":"proceedings-article","created":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T17:27:17Z","timestamp":1690478837000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Personalized Seizure Detection Using Spiking Neural Networks"],"prefix":"10.1109","author":[{"given":"Xavante","family":"Erickson","sequence":"first","affiliation":[{"name":"Device Baseband Technology, Ericsson Research,Lund,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saeed","family":"Bastani","sequence":"additional","affiliation":[{"name":"Device Software Research, Ericsson Research,Lund,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Aminifar","sequence":"additional","affiliation":[{"name":"Lund University,Electronical and Information Technology,Lund,Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000252807.38124.a3"},{"key":"ref2","article-title":"Epilepsy","volume-title":"Mayo Foundation for Medical Education and Research","year":"2023"},{"key":"ref3","article-title":"Epilepsy","volume-title":"NHS","year":"2020"},{"key":"ref4","first-page":"2","article-title":"Epilepsy: a public health imperative. summary","volume-title":"Geneva: World Health Organization","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727334"},{"key":"ref6","volume-title":"Residual deep convolutional neural network for eeg signal classification in epilepsy","author":"Lu","year":"2019"},{"key":"ref7","article-title":"System architecture","volume-title":"Google","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSPEC.2010.5644776"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2107022118"},{"issue":"9","key":"ref10","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.1016\/S0893-6080(97)00011-7","article-title":"Networks of spiking neurons: The third generation of neural network models","volume":"10","author":"Maass","year":"1997","journal-title":"Neural Networks"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00774"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.neunet.2017.12.015","article-title":"Unsupervised heart-rate estimation in wearables with liquid states and a probabilistic readout","volume":"99","author":"Das","year":"2018","journal-title":"Neural Networks"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2948920"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351728"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2020.568359"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00535"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref18","article-title":"Nengo - build brains","volume-title":"Applied Brain Research","year":"2023"},{"issue":"23","key":"ref19","first-page":"e215","volume-title":"Chb-mit scalp eeg database","volume":"101","author":"A.","year":"2010"},{"key":"ref20","article-title":"10\u201320 system (eeg)","volume-title":"ScienceDirect","year":"2023"},{"key":"ref21","volume-title":"10\/20 system electrode distances","year":"2012"},{"key":"ref22","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","volume-title":"2015, software available from tensorflow.org.","author":"Abadi"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/5666.5673"},{"issue":"1","key":"ref24","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1007\/s11263-014-0788-3","article-title":"Spiking deep convolutional neural networks for energy-efficient object recognition","volume":"113","author":"Cao","year":"2015","journal-title":"International Journal of Computer Vision"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2021\/321","volume-title":"Optimal ann-snn conversion for fast and accurate inference in deep spiking neural networks","author":"Ding","year":"2021"}],"event":{"name":"2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","location":"Berlin, Germany","start":{"date-parts":[[2023,7,23]]},"end":{"date-parts":[[2023,7,25]]}},"container-title":["2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10189217\/10189193\/10189269.pdf?arnumber=10189269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T15:11:02Z","timestamp":1709305862000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10189269\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,23]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/coins57856.2023.10189269","relation":{},"subject":[],"published":{"date-parts":[[2023,7,23]]}}}