Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897977740> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W2897977740 endingPage "3796" @default.
- W2897977740 startingPage "3786" @default.
- W2897977740 abstract "Muscle fatigue is a major problem in the study based on electromyography (EMG) signal. When the muscle in the fatigue condition, the power of the EMG signal increases significantly. This phenomenon can be a problem in the elbow-joint angle estimation. The purpose of this study is to develop a method in order to compensate the effect of the muscle fatigue on the elbow-joint angle estimation based on time domain features using EMG signal. The EMG signal was collected from biceps while the subjects performed a fatiguing motion of flexion and extension. The EMG was extracted using four time-domain features, namely zero crossing (ZC), sign slope change (SSC), Wilson amplitude (WAMP) and myopulse percentage rate (MYOP). The yielded features were filtered using second order Butterworth low pass filter. In the proposed method, to compensate the effect of the muscle fatigue, the RMS of the EMG signal was calculated for every cycle and used it as a threshold value of the features. The results show that the proposed method is able to compensate the effect of muscle fatigue with a consistent root mean square error (RMSE). The improvement of the performance ranges between 17.41% and 37.9% (for all adaptive features)." @default.
- W2897977740 created "2018-10-26" @default.
- W2897977740 creator A5000536091 @default.
- W2897977740 creator A5006699720 @default.
- W2897977740 creator A5023787907 @default.
- W2897977740 creator A5086943067 @default.
- W2897977740 date "2018-09-30" @default.
- W2897977740 modified "2023-10-17" @default.
- W2897977740 title "Adaptive threshold to compensate the effect of muscle fatigue on elbow-joint angle estimation based on electromyography" @default.
- W2897977740 doi "https://doi.org/10.15282/jmes.12.3.2018.3.0334" @default.
- W2897977740 hasPublicationYear "2018" @default.
- W2897977740 type Work @default.
- W2897977740 sameAs 2897977740 @default.
- W2897977740 citedByCount "7" @default.
- W2897977740 countsByYear W28979777402019 @default.
- W2897977740 countsByYear W28979777402020 @default.
- W2897977740 countsByYear W28979777402021 @default.
- W2897977740 countsByYear W28979777402022 @default.
- W2897977740 countsByYear W28979777402023 @default.
- W2897977740 crossrefType "journal-article" @default.
- W2897977740 hasAuthorship W2897977740A5000536091 @default.
- W2897977740 hasAuthorship W2897977740A5006699720 @default.
- W2897977740 hasAuthorship W2897977740A5023787907 @default.
- W2897977740 hasAuthorship W2897977740A5086943067 @default.
- W2897977740 hasBestOaLocation W28979777401 @default.
- W2897977740 hasConcept C105702510 @default.
- W2897977740 hasConcept C127413603 @default.
- W2897977740 hasConcept C18555067 @default.
- W2897977740 hasConcept C2776874296 @default.
- W2897977740 hasConcept C2777515770 @default.
- W2897977740 hasConcept C2781184374 @default.
- W2897977740 hasConcept C41008148 @default.
- W2897977740 hasConcept C66938386 @default.
- W2897977740 hasConcept C71924100 @default.
- W2897977740 hasConcept C99508421 @default.
- W2897977740 hasConceptScore W2897977740C105702510 @default.
- W2897977740 hasConceptScore W2897977740C127413603 @default.
- W2897977740 hasConceptScore W2897977740C18555067 @default.
- W2897977740 hasConceptScore W2897977740C2776874296 @default.
- W2897977740 hasConceptScore W2897977740C2777515770 @default.
- W2897977740 hasConceptScore W2897977740C2781184374 @default.
- W2897977740 hasConceptScore W2897977740C41008148 @default.
- W2897977740 hasConceptScore W2897977740C66938386 @default.
- W2897977740 hasConceptScore W2897977740C71924100 @default.
- W2897977740 hasConceptScore W2897977740C99508421 @default.
- W2897977740 hasIssue "3" @default.
- W2897977740 hasLocation W28979777401 @default.
- W2897977740 hasOpenAccess W2897977740 @default.
- W2897977740 hasPrimaryLocation W28979777401 @default.
- W2897977740 hasRelatedWork W1790732178 @default.
- W2897977740 hasRelatedWork W1892004929 @default.
- W2897977740 hasRelatedWork W2013199111 @default.
- W2897977740 hasRelatedWork W2170492757 @default.
- W2897977740 hasRelatedWork W2363387134 @default.
- W2897977740 hasRelatedWork W2391009298 @default.
- W2897977740 hasRelatedWork W2470063585 @default.
- W2897977740 hasRelatedWork W2487974259 @default.
- W2897977740 hasRelatedWork W2534579942 @default.
- W2897977740 hasRelatedWork W1558657480 @default.
- W2897977740 hasVolume "12" @default.
- W2897977740 isParatext "false" @default.
- W2897977740 isRetracted "false" @default.
- W2897977740 magId "2897977740" @default.
- W2897977740 workType "article" @default.