A Review on Hybrid Myoelectric Control Systems for Upper Limb Prosthesis

dc.contributor.authorMadusanka, DGK
dc.contributor.authorWijayasingha, LNS
dc.contributor.authorGopura, RARC
dc.contributor.authorAmarasinghe, YWR
dc.contributor.authorMann, GKI
dc.date.accessioned2015-08-03T10:13:16Z
dc.date.available2015-08-03T10:13:16Z
dc.date.issued2015-08-03
dc.description.abstractProsthesis is a device extension which is used to replace a missing body part. Amputees who lost all or part of the upper limb may use a prosthesis depending on their requirement. Externally powered prosthesis holds an importance since it is capable of imitating natural limb motions. However, the way they are controlled stand way back from the natural limb. Myoelectric control systems which uses electromyographic signals holds an important role in controlling prosthesis. This paper reviews the myoelectric control systems for upper limb prosthesis. At first control methods based only on myoelectric signals are briefly reviewed. The main focus is given to review hybrid myoelectric control systems. Hybrid myoelectric control methods are categorized and each category is compared and reviewed. Finally feasibility of using vision as an added sensor was discussed with examples from literature.en_US
dc.description.sponsorshipIEEE IEEE Sri Lanka Section Robotics and Automation Section Chapter, IEEE Sri Lanka Sectionen_US
dc.identifier.conferenceMERCon 2015 Moratuwa Engineering Research Conferenceen_US
dc.identifier.departmentDept. of Mechanical Engineering University of Moratuwa Moratuwa, Sri Lanka 10400en_US
dc.identifier.departmentFaculty of Engineering and Applied Science Memorial University of Newfoundland Newfoundland, Canadaen_US
dc.identifier.emailkanishka@mech.mrt.ac.lken_US
dc.identifier.emailgopura@mech.mrt.ac.lken_US
dc.identifier.emailgmann@mun.caen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnosp 60en_US
dc.identifier.placeUniversity of Moratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/11115
dc.identifier.year2015en_US
dc.language.isoenen_US
dc.subjectprosthesis;myoelectric;electromyography;pattern recognition;en_US
dc.titleA Review on Hybrid Myoelectric Control Systems for Upper Limb Prosthesisen_US
dc.typeConference-Full-texten_US

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