Retracted: Surface Eletromyography Feature Extraction Techniques – A Review
G. Emayavaramban, A. Amudha, M. Siva Ramkumar, S. Divyapriya, P. Nagaveni
20202020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)21 citationsDOI
Abstract
Electromyography (EMG) performs an investigation on muscles work through the examination of electrical movement that is created from muscles. This electrical movement is shown in type of sign is the consequence of neuromuscular initiation related with muscle constriction. Highlight extraction is the change of the crude sign information into an applicable information structure by evacuating clamor, and featuring the significant information. This paper investigates three fundamental classes of highlights, for example: time area, recurrence space, and the time-recurrence area for the activity of an EMG based control framework.
Topics & Concepts
ElectromyographyFeature extractionMovement (music)Computer scienceSign (mathematics)Artificial intelligenceWork (physics)Space (punctuation)Extraction (chemistry)Feature (linguistics)Pattern recognition (psychology)Physical medicine and rehabilitationEngineeringMedicineAcousticsMathematicsMechanical engineeringChemistryPhysicsChromatographyMathematical analysisPhilosophyOperating systemLinguisticsMuscle activation and electromyography studiesHand Gesture Recognition SystemsAdvanced Sensor and Energy Harvesting Materials