{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T20:58:35Z","timestamp":1781902715912,"version":"3.54.5"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.23919\/date.2019.8715186","type":"proceedings-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T17:29:07Z","timestamp":1558027747000},"page":"752-757","source":"Crossref","is-referenced-by-count":83,"title":["Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms"],"prefix":"10.23919","author":[{"given":"Alessio","family":"Burrello","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukas","family":"Cavigelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaspar","family":"Schindler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Benini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abbas","family":"Rahimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"175","DOI":"10.3988\/jcn.2014.10.3.175","article-title":"Depression and anxiety in people with epilepsy","author":"kwon","year":"2014","journal-title":"Journal of Clinical Neurology"},{"key":"ref11","article-title":"Epileptic seizure detection using lacunarity and bayesian linear discriminant analysis in intracranial EEG","author":"zhou","year":"2013","journal-title":"IEEE TBME"},{"key":"ref12","article-title":"One-shot learning for iEEG seizure detection using end-to-end binary operations: local binary patterns with hyperdimensional computing","author":"burrello","year":"2018","journal-title":"IEEE BioCAS"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1063\/1.1531823","article-title":"A review of symbolic analysis of experimental data","author":"daw","year":"2003","journal-title":"Review of Scientific Instruments"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1111\/j.1528-1167.2012.03588.x","article-title":"On seeing the trees and the forest: Single signal and multi signal analysis of periictal intracranial EEG","author":"schindler","year":"2012","journal-title":"Epilepsia"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"3051","DOI":"10.1016\/j.clinph.2016.07.001","article-title":"Ictal time-irreversible intracranial EEG signals as markers of the epileptogenic zone","author":"schindler","year":"2016","journal-title":"Clinical Neurophysiology"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s12559-009-9009-8","article-title":"Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors","author":"kanerva","year":"2009","journal-title":"Cognitive Computation"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1109\/TCSI.2017.2705051","article-title":"High-dimensional computing as ananoscalable paradigm","author":"rahimi","year":"2017","journal-title":"IEEE Transactions on Circuits and Systems I"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.4108\/eai.22-3-2017.152397","article-title":"Hyperdimensional computing for noninvasive brain- computer interfaces: Blind and one-shot classification of EEG error-related potentials","author":"rahimi","year":"2017","journal-title":"Proc ACM\/EAI BICT"},{"key":"ref19","article-title":"PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform","author":"montagna","year":"2018","journal-title":"Proc ACM\/IEEE DAC"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1680","DOI":"10.1093\/brain\/awx098","article-title":"Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings","author":"baldassano","year":"2017","journal-title":"Brain"},{"key":"ref3","article-title":"Robust detection of epileptic seizures using deep neural networks","author":"hussein","year":"2018","journal-title":"Proc IEEE ICASSP"},{"key":"ref6","first-page":"1","article-title":"e-Glass: A wearable system for real-time detection of epileptic seizures","author":"sopic","year":"2018","journal-title":"IEEE ISCAS"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1177\/1550059417744890","article-title":"Automatic seizure detection based on morphological features using one-dimensional local binary pattern on long-term EEG","author":"shanir","year":"2018","journal-title":"Clinical EEG and Neuroscience"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1002\/epi4.12076","article-title":"Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?","author":"van andel","year":"2017","journal-title":"Epilepsia Open"},{"key":"ref7","first-page":"49","article-title":"A 1.83?j\/classification, 8-channel, patient-specific epileptic seizure classification SoC using a non-linear support vector machine","author":"altaf","year":"2016","journal-title":"IEEE TBioCAS"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neunet.2018.04.018","article-title":"Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram","author":"truong","year":"2018","journal-title":"Neural Networks"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.bspc.2017.01.005","article-title":"Local pattern transformation based feature extraction techniques for classification of epileptic EEG signals","author":"jaiswal","year":"2017","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1111\/epi.13606","article-title":"Long-term monitoring of cardiorespiratory patterns in drug-resistant epilepsy","author":"goldenholz","year":"2017","journal-title":"Epilepsia"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1093\/brain\/aww045","article-title":"Crowdsourcing reproducible seizure forecasting in human and canine epilepsy","author":"brinkmann","year":"2016","journal-title":"Brain"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1667239.1667246"},{"key":"ref21","first-page":"1639","article-title":"Latencies from intracranial seizure onset to ictal tachycardia: A comparison to surface EEG patterns and other clinical signs","author":"martin","year":"2015","journal-title":"Epilepsia"}],"event":{"name":"2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Florence, Italy","start":{"date-parts":[[2019,3,25]]},"end":{"date-parts":[[2019,3,29]]}},"container-title":["2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8704855\/8714721\/08715186.pdf?arnumber=8715186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T19:50:55Z","timestamp":1559591455000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8715186\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":22,"URL":"https:\/\/doi.org\/10.23919\/date.2019.8715186","relation":{},"subject":[],"published":{"date-parts":[[2019,3]]}}}