FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2012061570> ?p ?o ?g. }

• W2012061570 abstract "Abstract Background The electroencephalography (EEG) signals are known to involve the firings of neurons in the brain. The P300 wave is a high potential caused by an event-related stimulus. The detection of P300s included in the measured EEG signals is widely investigated. The difficulties in detecting them are that they are mixed with other signals generated over a large brain area and their amplitudes are very small due to the distance and resistivity differences in their transmittance. Methods A novel real-time feature extraction method for detecting P300 waves by combining an adaptive nonlinear principal component analysis (ANPCA) and a multilayer neural network is proposed. The measured EEG signals are first filtered using a sixth-order band-pass filter with cut-off frequencies of 1 Hz and 12 Hz. The proposed ANPCA scheme consists of four steps: pre-separation, whitening, separation, and estimation. In the experiment, four different inter-stimulus intervals (ISIs) are utilized: 325 ms, 350 ms, 375 ms, and 400 ms. Results The developed multi-stage principal component analysis method applied at the pre-separation step has reduced the external noises and artifacts significantly. The introduced adaptive law in the whitening step has made the subsequent algorithm in the separation step to converge fast. The separation performance index has varied from -20 dB to -33 dB due to randomness of source signals. The robustness of the ANPCA against background noises has been evaluated by comparing the separation performance indices of the ANPCA with four algorithms (NPCA, NSS-JD, JADE, and SOBI), in which the ANPCA algorithm demonstrated the shortest iteration time with performance index about 0.03. Upon this, it is asserted that the ANPCA algorithm successfully separates mixed source signals. Conclusions The independent components produced from the observed data using the proposed method illustrated that the extracted signals were clearly the P300 components elicited by task-related stimuli. The experiment using 350 ms ISI showed the best performance. Since the proposed method does not use down-sampling and averaging, it can be used as a viable tool for real-time clinical applications." @default.
• W2012061570 created "2016-06-24" @default.
• W2012061570 creator A5012245607 @default.
• W2012061570 creator A5027740122 @default.
• W2012061570 creator A5087380904 @default.
• W2012061570 date "2011-09-23" @default.
• W2012061570 modified "2023-10-18" @default.
• W2012061570 title "Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis" @default.
• W2012061570 cites W1489793438 @default.
• W2012061570 cites W1981053428 @default.
• W2012061570 cites W1988657160 @default.
• W2012061570 cites W1990007244 @default.
• W2012061570 cites W2017235007 @default.
• W2012061570 cites W2024938223 @default.
• W2012061570 cites W2026122276 @default.
• W2012061570 cites W2032389657 @default.
• W2012061570 cites W2034933413 @default.
• W2012061570 cites W2050656370 @default.
• W2012061570 cites W2052471278 @default.
• W2012061570 cites W2055439724 @default.
• W2012061570 cites W2060531960 @default.
• W2012061570 cites W2071352213 @default.
• W2012061570 cites W2072122428 @default.
• W2012061570 cites W2073751873 @default.
• W2012061570 cites W2077315274 @default.
• W2012061570 cites W2077319616 @default.
• W2012061570 cites W2099784260 @default.
• W2012061570 cites W2102316463 @default.
• W2012061570 cites W2103398006 @default.
• W2012061570 cites W2106644287 @default.
• W2012061570 cites W2106912510 @default.
• W2012061570 cites W2107216691 @default.
• W2012061570 cites W2111833294 @default.
• W2012061570 cites W2123705983 @default.
• W2012061570 cites W2126425096 @default.
• W2012061570 cites W2126914598 @default.
• W2012061570 cites W2127864857 @default.
• W2012061570 cites W2129308247 @default.
• W2012061570 cites W2136471501 @default.
• W2012061570 cites W2137139602 @default.
• W2012061570 cites W2156522227 @default.
• W2012061570 cites W2168499699 @default.
• W2012061570 cites W2172014920 @default.
• W2012061570 cites W2312680240 @default.
• W2012061570 cites W2333494667 @default.
• W2012061570 cites W2412560454 @default.
• W2012061570 cites W49758845 @default.
• W2012061570 cites W2149786230 @default.
• W2012061570 doi "https://doi.org/10.1186/1475-925x-10-83" @default.
• W2012061570 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3749271" @default.
• W2012061570 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21939560" @default.
• W2012061570 hasPublicationYear "2011" @default.
• W2012061570 type Work @default.
• W2012061570 sameAs 2012061570 @default.
• W2012061570 citedByCount "107" @default.
• W2012061570 countsByYear W20120615702012 @default.
• W2012061570 countsByYear W20120615702013 @default.
• W2012061570 countsByYear W20120615702014 @default.
• W2012061570 countsByYear W20120615702015 @default.
• W2012061570 countsByYear W20120615702016 @default.
• W2012061570 countsByYear W20120615702017 @default.
• W2012061570 countsByYear W20120615702018 @default.
• W2012061570 countsByYear W20120615702019 @default.
• W2012061570 countsByYear W20120615702020 @default.
• W2012061570 countsByYear W20120615702021 @default.
• W2012061570 countsByYear W20120615702022 @default.
• W2012061570 crossrefType "journal-article" @default.
• W2012061570 hasAuthorship W2012061570A5012245607 @default.
• W2012061570 hasAuthorship W2012061570A5027740122 @default.
• W2012061570 hasAuthorship W2012061570A5087380904 @default.
• W2012061570 hasBestOaLocation W20120615701 @default.
• W2012061570 hasConcept C104317684 @default.
• W2012061570 hasConcept C118552586 @default.
• W2012061570 hasConcept C121332964 @default.
• W2012061570 hasConcept C153180895 @default.
• W2012061570 hasConcept C154945302 @default.
• W2012061570 hasConcept C15744967 @default.
• W2012061570 hasConcept C158622935 @default.
• W2012061570 hasConcept C185592680 @default.
• W2012061570 hasConcept C27438332 @default.
• W2012061570 hasConcept C28490314 @default.
• W2012061570 hasConcept C41008148 @default.
• W2012061570 hasConcept C50644808 @default.
• W2012061570 hasConcept C51432778 @default.
• W2012061570 hasConcept C522805319 @default.
• W2012061570 hasConcept C52622490 @default.
• W2012061570 hasConcept C55493867 @default.
• W2012061570 hasConcept C62520636 @default.
• W2012061570 hasConcept C63479239 @default.
• W2012061570 hasConceptScore W2012061570C104317684 @default.
• W2012061570 hasConceptScore W2012061570C118552586 @default.
• W2012061570 hasConceptScore W2012061570C121332964 @default.
• W2012061570 hasConceptScore W2012061570C153180895 @default.
• W2012061570 hasConceptScore W2012061570C154945302 @default.
• W2012061570 hasConceptScore W2012061570C15744967 @default.
• W2012061570 hasConceptScore W2012061570C158622935 @default.
• W2012061570 hasConceptScore W2012061570C185592680 @default.
• W2012061570 hasConceptScore W2012061570C27438332 @default.
• W2012061570 hasConceptScore W2012061570C28490314 @default.
• W2012061570 hasConceptScore W2012061570C41008148 @default.

• next