Matches in SemOpenAlex for { <https://semopenalex.org/work/W3163296213> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W3163296213 abstract "There is a great interest nowadays in using ECG for biometric identification, due to some of its intrinsic properties. There are different proposals in the literature to solve this task. Most of them based on feature extraction and machine learning methods applied on those features and, recently, others based on deep learning algorithms applied directly on the signals - providing better results, but requiring a much higher computational cost. In this study we aim to show how an approach based on compression methods can be used to perform this task. Our approach uses the notion of relative compression to provide a measure of similarity from a new signal to the different participants present on the database. This is an approach which relies heavily on the entropy of the data sources, as the compressors used to perform the relative compression are based on finite-context models (similar to Markov models). We aim to show that it is possible to perform biometric identification using ECG signals using this methods, even without applying any kind of fiducial point detection on the ECG, making the method, in theory, more general than for this specific task or type of signal. Our results show that this approach is feasible in practical terms and provide competitive results, achieving an accuracy of around 89.3% using an publicly available database with 25 participants." @default.
- W3163296213 created "2021-05-24" @default.
- W3163296213 creator A5015613222 @default.
- W3163296213 creator A5059149681 @default.
- W3163296213 creator A5075489861 @default.
- W3163296213 date "2021-05-05" @default.
- W3163296213 modified "2023-10-17" @default.
- W3163296213 title "Entropy-Based ECG Biometric Identification" @default.
- W3163296213 doi "https://doi.org/10.3390/entropy2021-09795" @default.
- W3163296213 hasPublicationYear "2021" @default.
- W3163296213 type Work @default.
- W3163296213 sameAs 3163296213 @default.
- W3163296213 citedByCount "0" @default.
- W3163296213 crossrefType "proceedings-article" @default.
- W3163296213 hasAuthorship W3163296213A5015613222 @default.
- W3163296213 hasAuthorship W3163296213A5059149681 @default.
- W3163296213 hasAuthorship W3163296213A5075489861 @default.
- W3163296213 hasBestOaLocation W31632962131 @default.
- W3163296213 hasConcept C106301342 @default.
- W3163296213 hasConcept C119857082 @default.
- W3163296213 hasConcept C121332964 @default.
- W3163296213 hasConcept C124101348 @default.
- W3163296213 hasConcept C153180895 @default.
- W3163296213 hasConcept C154945302 @default.
- W3163296213 hasConcept C184297639 @default.
- W3163296213 hasConcept C23224414 @default.
- W3163296213 hasConcept C28490314 @default.
- W3163296213 hasConcept C41008148 @default.
- W3163296213 hasConcept C52622490 @default.
- W3163296213 hasConcept C62520636 @default.
- W3163296213 hasConcept C78548338 @default.
- W3163296213 hasConceptScore W3163296213C106301342 @default.
- W3163296213 hasConceptScore W3163296213C119857082 @default.
- W3163296213 hasConceptScore W3163296213C121332964 @default.
- W3163296213 hasConceptScore W3163296213C124101348 @default.
- W3163296213 hasConceptScore W3163296213C153180895 @default.
- W3163296213 hasConceptScore W3163296213C154945302 @default.
- W3163296213 hasConceptScore W3163296213C184297639 @default.
- W3163296213 hasConceptScore W3163296213C23224414 @default.
- W3163296213 hasConceptScore W3163296213C28490314 @default.
- W3163296213 hasConceptScore W3163296213C41008148 @default.
- W3163296213 hasConceptScore W3163296213C52622490 @default.
- W3163296213 hasConceptScore W3163296213C62520636 @default.
- W3163296213 hasConceptScore W3163296213C78548338 @default.
- W3163296213 hasLocation W31632962131 @default.
- W3163296213 hasOpenAccess W3163296213 @default.
- W3163296213 hasPrimaryLocation W31632962131 @default.
- W3163296213 hasRelatedWork W2067275498 @default.
- W3163296213 hasRelatedWork W2144059113 @default.
- W3163296213 hasRelatedWork W2146076056 @default.
- W3163296213 hasRelatedWork W2167236583 @default.
- W3163296213 hasRelatedWork W2258629542 @default.
- W3163296213 hasRelatedWork W2356621584 @default.
- W3163296213 hasRelatedWork W2811390910 @default.
- W3163296213 hasRelatedWork W2897410528 @default.
- W3163296213 hasRelatedWork W3003836766 @default.
- W3163296213 hasRelatedWork W3186111093 @default.
- W3163296213 isParatext "false" @default.
- W3163296213 isRetracted "false" @default.
- W3163296213 magId "3163296213" @default.
- W3163296213 workType "article" @default.