FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2549248857> ?p ?o ?g. }

• W2549248857 endingPage "805" @default.
• W2549248857 startingPage "791" @default.
• W2549248857 abstract "In this work, angular displacement and angular velocity of the elbow during continuous flexion and extension movement are estimated using three different models, with Surface Electromyography (SEMG) time domain parameters as model inputs, and the results are compared to select the model that gives the most accurate results. Surface Electromyography (SEMG) is recorded using surface electrodes placed on the biceps brachii muscles during continuous flexion and extension of the elbow joint. SEMG recording is done with elbow angle changing at different angular velocities. The obtained SEMG signals are segmented into 250-millisecond duration windows using disjoint windowing technique. Two time-domain parameters, Integrated Electromyography (IEMG) and Zero crossing (ZC) are derived from each windowed SEMG signals. The obtained value of IEMG and ZC are fed as the inputs to the Multiple Input Multiple Output (MIMO) model for the estimation of elbow angular displacement and elbow angular velocity. In this work three Multiple Input Multiple Output (MIMO) nonlinear black box model are developed using a Nonlinear Auto Regressive with eXogenous inputs (NARX) structure: (1) Multi-Layered Perceptron Neural Network (MLPNN) model based on NARX input, (2) Elman neural network model based on NARX input and (3) Adaptive Neuro-Fuzzy Inference System (ANFIS) model based on NARX input. The results obtained from the three different models are compared using statistical parameters like regression coefficient and root mean square error (RSME). Based on this comparison the paper proposes that the estimation of elbow kinematics using ANFIS NARX model gives more accurate results when compared with Elman NARX model and Multi-Layered Perceptron Neural Network (MLPNN) NARX model." @default.
• W2549248857 created "2016-11-30" @default.
• W2549248857 creator A5014319964 @default.
• W2549248857 creator A5086209078 @default.
• W2549248857 date "2017-01-13" @default.
• W2549248857 modified "2023-10-16" @default.
• W2549248857 title "Comparative study on estimation of elbow kinematics based on EMG time domain parameters using neural network and ANFIS NARX model" @default.
• W2549248857 cites W1967429206 @default.
• W2549248857 cites W1996011376 @default.
• W2549248857 cites W2019207321 @default.
• W2549248857 cites W2021795255 @default.
• W2549248857 cites W2031878187 @default.
• W2549248857 cites W2032246760 @default.
• W2549248857 cites W2041753918 @default.
• W2549248857 cites W2044628302 @default.
• W2549248857 cites W2056933353 @default.
• W2549248857 cites W2058819127 @default.
• W2549248857 cites W2063755974 @default.
• W2549248857 cites W2071920517 @default.
• W2549248857 cites W2080596365 @default.
• W2549248857 cites W2083994028 @default.
• W2549248857 cites W2106526692 @default.
• W2549248857 cites W2113105395 @default.
• W2549248857 cites W2113190957 @default.
• W2549248857 cites W2113998107 @default.
• W2549248857 cites W2115647181 @default.
• W2549248857 cites W2129308247 @default.
• W2549248857 cites W2129645442 @default.
• W2549248857 cites W2134490360 @default.
• W2549248857 cites W2141880448 @default.
• W2549248857 cites W2144655240 @default.
• W2549248857 cites W2160601648 @default.
• W2549248857 cites W2168162876 @default.
• W2549248857 cites W749740155 @default.
• W2549248857 doi "https://doi.org/10.3233/jifs-16070" @default.
• W2549248857 hasPublicationYear "2017" @default.
• W2549248857 type Work @default.
• W2549248857 sameAs 2549248857 @default.
• W2549248857 citedByCount "8" @default.
• W2549248857 countsByYear W25492488572017 @default.
• W2549248857 countsByYear W25492488572018 @default.
• W2549248857 countsByYear W25492488572020 @default.
• W2549248857 countsByYear W25492488572021 @default.
• W2549248857 countsByYear W25492488572022 @default.
• W2549248857 countsByYear W25492488572023 @default.
• W2549248857 crossrefType "journal-article" @default.
• W2549248857 hasAuthorship W2549248857A5014319964 @default.
• W2549248857 hasAuthorship W2549248857A5086209078 @default.
• W2549248857 hasConcept C105795698 @default.
• W2549248857 hasConcept C121332964 @default.
• W2549248857 hasConcept C154945302 @default.
• W2549248857 hasConcept C159877910 @default.
• W2549248857 hasConcept C186108316 @default.
• W2549248857 hasConcept C195975749 @default.
• W2549248857 hasConcept C2775924081 @default.
• W2549248857 hasConcept C2777515770 @default.
• W2549248857 hasConcept C33923547 @default.
• W2549248857 hasConcept C39920418 @default.
• W2549248857 hasConcept C41008148 @default.
• W2549248857 hasConcept C42536954 @default.
• W2549248857 hasConcept C47446073 @default.
• W2549248857 hasConcept C50644808 @default.
• W2549248857 hasConcept C58166 @default.
• W2549248857 hasConcept C71924100 @default.
• W2549248857 hasConcept C74650414 @default.
• W2549248857 hasConcept C99508421 @default.
• W2549248857 hasConceptScore W2549248857C105795698 @default.
• W2549248857 hasConceptScore W2549248857C121332964 @default.
• W2549248857 hasConceptScore W2549248857C154945302 @default.
• W2549248857 hasConceptScore W2549248857C159877910 @default.
• W2549248857 hasConceptScore W2549248857C186108316 @default.
• W2549248857 hasConceptScore W2549248857C195975749 @default.
• W2549248857 hasConceptScore W2549248857C2775924081 @default.
• W2549248857 hasConceptScore W2549248857C2777515770 @default.
• W2549248857 hasConceptScore W2549248857C33923547 @default.
• W2549248857 hasConceptScore W2549248857C39920418 @default.
• W2549248857 hasConceptScore W2549248857C41008148 @default.
• W2549248857 hasConceptScore W2549248857C42536954 @default.
• W2549248857 hasConceptScore W2549248857C47446073 @default.
• W2549248857 hasConceptScore W2549248857C50644808 @default.
• W2549248857 hasConceptScore W2549248857C58166 @default.
• W2549248857 hasConceptScore W2549248857C71924100 @default.
• W2549248857 hasConceptScore W2549248857C74650414 @default.
• W2549248857 hasConceptScore W2549248857C99508421 @default.
• W2549248857 hasIssue "1" @default.
• W2549248857 hasLocation W25492488571 @default.
• W2549248857 hasOpenAccess W2549248857 @default.
• W2549248857 hasPrimaryLocation W25492488571 @default.
• W2549248857 hasRelatedWork W2019155478 @default.
• W2549248857 hasRelatedWork W2036704594 @default.
• W2549248857 hasRelatedWork W2606910468 @default.
• W2549248857 hasRelatedWork W2995801509 @default.
• W2549248857 hasRelatedWork W3083782034 @default.
• W2549248857 hasRelatedWork W3116827148 @default.
• W2549248857 hasRelatedWork W3120843198 @default.
• W2549248857 hasRelatedWork W3123153965 @default.
• W2549248857 hasRelatedWork W4226315710 @default.
• W2549248857 hasRelatedWork W4287185323 @default.

• next