FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017168078> ?p ?o ?g. }

• W2017168078 endingPage "926" @default.
• W2017168078 startingPage "918" @default.
• W2017168078 abstract "Artifact removal from physiological signals is an essential component of the biosignal processing pipeline. The need for powerful and robust methods for this process has become particularly acute as healthcare technology deployment undergoes transition from the current hospital-centric setting toward a wearable and ubiquitous monitoring environment. Currently, determining the relative efficacy and performance of the multiple artifact removal techniques available on real world data can be problematic, due to incomplete information on the uncorrupted desired signal. The majority of techniques are presently evaluated using simulated data, and therefore, the quality of the conclusions is contingent on the fidelity of the model used. Consequently, in the biomedical signal processing community, there is considerable focus on the generation and validation of appropriate signal models for use in artifact suppression. Most approaches rely on mathematical models which capture suitable approximations to the signal dynamics or underlying physiology and, therefore, introduce some uncertainty to subsequent predictions of algorithm performance. This paper describes a more empirical approach to the modeling of the desired signal that we demonstrate for functional brain monitoring tasks which allows for the procurement of a “ground truth” signal which is highly correlated to a true desired signal that has been contaminated with artifacts. The availability of this “ground truth,” together with the corrupted signal, can then aid in determining the efficacy of selected artifact removal techniques. A number of commonly implemented artifact removal techniques were evaluated using the described methodology to validate the proposed novel test platform." @default.
• W2017168078 created "2016-06-24" @default.
• W2017168078 creator A5005974306 @default.
• W2017168078 creator A5026726462 @default.
• W2017168078 creator A5032135106 @default.
• W2017168078 creator A5042734092 @default.
• W2017168078 creator A5080429518 @default.
• W2017168078 creator A5091479243 @default.
• W2017168078 date "2012-09-01" @default.
• W2017168078 modified "2023-09-27" @default.
• W2017168078 title "A Methodology for Validating Artifact Removal Techniques for Physiological Signals" @default.
• W2017168078 cites W1978523015 @default.
• W2017168078 cites W2007221293 @default.
• W2017168078 cites W2036770298 @default.
• W2017168078 cites W2080477430 @default.
• W2017168078 cites W2105957367 @default.
• W2017168078 cites W2109094417 @default.
• W2017168078 cites W2113545300 @default.
• W2017168078 cites W2116871167 @default.
• W2017168078 cites W2120390927 @default.
• W2017168078 cites W2121528650 @default.
• W2017168078 cites W2125854999 @default.
• W2017168078 cites W2145444715 @default.
• W2017168078 cites W2148895235 @default.
• W2017168078 cites W2157209869 @default.
• W2017168078 cites W2160704933 @default.
• W2017168078 cites W2162800060 @default.
• W2017168078 cites W2113141977 @default.
• W2017168078 cites W2114393554 @default.
• W2017168078 doi "https://doi.org/10.1109/titb.2012.2207400" @default.
• W2017168078 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22801522" @default.
• W2017168078 hasPublicationYear "2012" @default.
• W2017168078 type Work @default.
• W2017168078 sameAs 2017168078 @default.
• W2017168078 citedByCount "86" @default.
• W2017168078 countsByYear W20171680782012 @default.
• W2017168078 countsByYear W20171680782013 @default.
• W2017168078 countsByYear W20171680782014 @default.
• W2017168078 countsByYear W20171680782015 @default.
• W2017168078 countsByYear W20171680782016 @default.
• W2017168078 countsByYear W20171680782017 @default.
• W2017168078 countsByYear W20171680782018 @default.
• W2017168078 countsByYear W20171680782019 @default.
• W2017168078 countsByYear W20171680782020 @default.
• W2017168078 countsByYear W20171680782021 @default.
• W2017168078 countsByYear W20171680782022 @default.
• W2017168078 countsByYear W20171680782023 @default.
• W2017168078 crossrefType "journal-article" @default.
• W2017168078 hasAuthorship W2017168078A5005974306 @default.
• W2017168078 hasAuthorship W2017168078A5026726462 @default.
• W2017168078 hasAuthorship W2017168078A5032135106 @default.
• W2017168078 hasAuthorship W2017168078A5042734092 @default.
• W2017168078 hasAuthorship W2017168078A5080429518 @default.
• W2017168078 hasAuthorship W2017168078A5091479243 @default.
• W2017168078 hasBestOaLocation W20171680782 @default.
• W2017168078 hasConcept C104267543 @default.
• W2017168078 hasConcept C111919701 @default.
• W2017168078 hasConcept C119857082 @default.
• W2017168078 hasConcept C124101348 @default.
• W2017168078 hasConcept C146849305 @default.
• W2017168078 hasConcept C149635348 @default.
• W2017168078 hasConcept C150594956 @default.
• W2017168078 hasConcept C154945302 @default.
• W2017168078 hasConcept C199360897 @default.
• W2017168078 hasConcept C2776459999 @default.
• W2017168078 hasConcept C2779010991 @default.
• W2017168078 hasConcept C2779055241 @default.
• W2017168078 hasConcept C2779843651 @default.
• W2017168078 hasConcept C41008148 @default.
• W2017168078 hasConcept C43521106 @default.
• W2017168078 hasConcept C555944384 @default.
• W2017168078 hasConcept C76155785 @default.
• W2017168078 hasConcept C84462506 @default.
• W2017168078 hasConcept C9390403 @default.
• W2017168078 hasConcept C98045186 @default.
• W2017168078 hasConceptScore W2017168078C104267543 @default.
• W2017168078 hasConceptScore W2017168078C111919701 @default.
• W2017168078 hasConceptScore W2017168078C119857082 @default.
• W2017168078 hasConceptScore W2017168078C124101348 @default.
• W2017168078 hasConceptScore W2017168078C146849305 @default.
• W2017168078 hasConceptScore W2017168078C149635348 @default.
• W2017168078 hasConceptScore W2017168078C150594956 @default.
• W2017168078 hasConceptScore W2017168078C154945302 @default.
• W2017168078 hasConceptScore W2017168078C199360897 @default.
• W2017168078 hasConceptScore W2017168078C2776459999 @default.
• W2017168078 hasConceptScore W2017168078C2779010991 @default.
• W2017168078 hasConceptScore W2017168078C2779055241 @default.
• W2017168078 hasConceptScore W2017168078C2779843651 @default.
• W2017168078 hasConceptScore W2017168078C41008148 @default.
• W2017168078 hasConceptScore W2017168078C43521106 @default.
• W2017168078 hasConceptScore W2017168078C555944384 @default.
• W2017168078 hasConceptScore W2017168078C76155785 @default.
• W2017168078 hasConceptScore W2017168078C84462506 @default.
• W2017168078 hasConceptScore W2017168078C9390403 @default.
• W2017168078 hasConceptScore W2017168078C98045186 @default.
• W2017168078 hasIssue "5" @default.
• W2017168078 hasLocation W20171680781 @default.
• W2017168078 hasLocation W20171680782 @default.

• next