FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2581746893> ?p ?o ?g. }

• W2581746893 abstract "Brain Computer Interface (BCI) is one of the clinical applications that may help to restore communication to people with motor disabilities. Electrocorticography (ECoG) is a semi invasive record to brain signals from electrode grids on the cortex surface. ECoG signal makes possible localization of the source of neural signals due to its high spatial resolution. This study is a step towards exploring the usability of ECoG signal as BCI input technique and a multidimensional BCI control. The objective of this deterministic approach is to predict individual finger movement from ECoG signal by combining both classification and regression problems in machine learning of signal responses (regression via classification), on the other hand addressing the signal responses variability within a single subject. The dataset used in this work is the one presented in the fourth dataset from BCI competition IV. The difficulty is that; there is no simple and direct relation between ECoG signals and finger movements. This research work starts in two directions. The first direction is related to the decoding of the finger position signal to obtain a finger movement state signal. The second direction is related to the ECoG recorded signal, in order to obtain the corresponding brain signal of each finger movement. The work consists of five main phases (decoding finger state, pre-processing, features acquisition, classification, and regression). This approach suggests kinematic finger model which is applied on the finger muscle signal to generate the finger kinematic state signal. For feature extraction we used shift invariant wavelet decomposition and multi-taper frequency spectrum, followed by Gram-Schmidt test for selection. Linear support vector machine (SVM) is used for classification. Regression models are established by using the finger position training signal and the acquired ECoG features. To predict the finger movement signal under test; switching between these regression models is made. Finally the predicted finger movement signal is correlated with the measured one for evaluation. Results show that the average correlation measure between real and predicted movement is 0.82. This result is higher than the one obtained by the competition winner (0.46)." @default.
• W2581746893 created "2017-02-03" @default.
• W2581746893 creator A5007611765 @default.
• W2581746893 creator A5071487702 @default.
• W2581746893 date "2016-12-01" @default.
• W2581746893 modified "2023-09-26" @default.
• W2581746893 title "Decoding of finger movement using kinematic model classification and regression model switching" @default.
• W2581746893 cites W143791423 @default.
• W2581746893 cites W1968417898 @default.
• W2581746893 cites W1971488363 @default.
• W2581746893 cites W1982312747 @default.
• W2581746893 cites W1995255811 @default.
• W2581746893 cites W2007516893 @default.
• W2581746893 cites W2028037703 @default.
• W2581746893 cites W2034778821 @default.
• W2581746893 cites W2059989135 @default.
• W2581746893 cites W2102819635 @default.
• W2581746893 cites W2107596396 @default.
• W2581746893 cites W2110746591 @default.
• W2581746893 cites W2131780467 @default.
• W2581746893 cites W2133990480 @default.
• W2581746893 cites W2135825876 @default.
• W2581746893 cites W2147696049 @default.
• W2581746893 cites W2151669316 @default.
• W2581746893 cites W2155722796 @default.
• W2581746893 cites W2161237697 @default.
• W2581746893 cites W2259982488 @default.
• W2581746893 cites W2331293741 @default.
• W2581746893 cites W2540724345 @default.
• W2581746893 cites W2772321987 @default.
• W2581746893 doi "https://doi.org/10.1109/cibec.2016.7836126" @default.
• W2581746893 hasPublicationYear "2016" @default.
• W2581746893 type Work @default.
• W2581746893 sameAs 2581746893 @default.
• W2581746893 citedByCount "4" @default.
• W2581746893 countsByYear W25817468932018 @default.
• W2581746893 countsByYear W25817468932019 @default.
• W2581746893 countsByYear W25817468932022 @default.
• W2581746893 crossrefType "proceedings-article" @default.
• W2581746893 hasAuthorship W2581746893A5007611765 @default.
• W2581746893 hasAuthorship W2581746893A5071487702 @default.
• W2581746893 hasConcept C104267543 @default.
• W2581746893 hasConcept C11413529 @default.
• W2581746893 hasConcept C118552586 @default.
• W2581746893 hasConcept C121332964 @default.
• W2581746893 hasConcept C12267149 @default.
• W2581746893 hasConcept C153180895 @default.
• W2581746893 hasConcept C154945302 @default.
• W2581746893 hasConcept C15744967 @default.
• W2581746893 hasConcept C173201364 @default.
• W2581746893 hasConcept C199360897 @default.
• W2581746893 hasConcept C2779843651 @default.
• W2581746893 hasConcept C2780117969 @default.
• W2581746893 hasConcept C28490314 @default.
• W2581746893 hasConcept C2992114214 @default.
• W2581746893 hasConcept C31972630 @default.
• W2581746893 hasConcept C39920418 @default.
• W2581746893 hasConcept C41008148 @default.
• W2581746893 hasConcept C522805319 @default.
• W2581746893 hasConcept C52622490 @default.
• W2581746893 hasConcept C548259974 @default.
• W2581746893 hasConcept C57273362 @default.
• W2581746893 hasConcept C69738355 @default.
• W2581746893 hasConcept C71924100 @default.
• W2581746893 hasConcept C74650414 @default.
• W2581746893 hasConcept C84462506 @default.
• W2581746893 hasConcept C9390403 @default.
• W2581746893 hasConceptScore W2581746893C104267543 @default.
• W2581746893 hasConceptScore W2581746893C11413529 @default.
• W2581746893 hasConceptScore W2581746893C118552586 @default.
• W2581746893 hasConceptScore W2581746893C121332964 @default.
• W2581746893 hasConceptScore W2581746893C12267149 @default.
• W2581746893 hasConceptScore W2581746893C153180895 @default.
• W2581746893 hasConceptScore W2581746893C154945302 @default.
• W2581746893 hasConceptScore W2581746893C15744967 @default.
• W2581746893 hasConceptScore W2581746893C173201364 @default.
• W2581746893 hasConceptScore W2581746893C199360897 @default.
• W2581746893 hasConceptScore W2581746893C2779843651 @default.
• W2581746893 hasConceptScore W2581746893C2780117969 @default.
• W2581746893 hasConceptScore W2581746893C28490314 @default.
• W2581746893 hasConceptScore W2581746893C2992114214 @default.
• W2581746893 hasConceptScore W2581746893C31972630 @default.
• W2581746893 hasConceptScore W2581746893C39920418 @default.
• W2581746893 hasConceptScore W2581746893C41008148 @default.
• W2581746893 hasConceptScore W2581746893C522805319 @default.
• W2581746893 hasConceptScore W2581746893C52622490 @default.
• W2581746893 hasConceptScore W2581746893C548259974 @default.
• W2581746893 hasConceptScore W2581746893C57273362 @default.
• W2581746893 hasConceptScore W2581746893C69738355 @default.
• W2581746893 hasConceptScore W2581746893C71924100 @default.
• W2581746893 hasConceptScore W2581746893C74650414 @default.
• W2581746893 hasConceptScore W2581746893C84462506 @default.
• W2581746893 hasConceptScore W2581746893C9390403 @default.
• W2581746893 hasLocation W25817468931 @default.
• W2581746893 hasOpenAccess W2581746893 @default.
• W2581746893 hasPrimaryLocation W25817468931 @default.
• W2581746893 hasRelatedWork W1872799407 @default.
• W2581746893 hasRelatedWork W1989138950 @default.
• W2581746893 hasRelatedWork W1997190462 @default.
• W2581746893 hasRelatedWork W2025553454 @default.

• next