Current state of digital signal processing in myoelectric interfaces and related applications

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorHakonen, Maria
dc.contributor.authorPiitulainen, Harri
dc.contributor.authorVisala, Arto
dc.contributor.departmentDepartment of Automation and Systems Technologyen
dc.contributor.departmentAutomaatio- ja systeemitekniikan laitosfi
dc.contributor.labAutonomous systemsen
dc.contributor.labAutonomiset järjestelmätfi
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.schoolSchool of Electrical Engineeringen
dc.date.accessioned2015-03-11T10:00:21Z
dc.date.available2015-03-11T10:00:21Z
dc.date.issued2015
dc.description.abstractThis review discusses the critical issues and recommended practices from the perspective of myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are evaluated. The article aims to fill gaps left by previous reviews and identify avenues for future research. Recommendations are given, for example, for electrode placement, sampling rate, segmentation, and classifiers. Four groups of applications where myoelectric interfaces have been adopted are identified: assistive technology, rehabilitation technology, input devices, and silent speech interfaces. The state-of-the-art applications in each of these groups are presented.en
dc.description.versionPeer revieweden
dc.format.extent334-359
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHakonen, Maria & Piitulainen, Harri & Visala, Arto. 2015. Current state of digital signal processing in myoelectric interfaces and related applications. Biomedical Signal Processing and Control. P. 334-359. 1746-8094 (printed). DOI: 10.1016/j.bspc.2015.02.009en
dc.identifier.doi10.1016/j.bspc.2015.02.009
dc.identifier.issn1746-8094 (printed)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/15360
dc.identifier.urnURN:NBN:fi:aalto-201503112032
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.ispartofseriesBiomedical Signal Processing and Controlen
dc.relation.ispartofseriesVolume 18
dc.rights© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.rights.holderAuthors
dc.subject.keywordSurface electromyographyen
dc.subject.keywordMyoelectric interfaceen
dc.subject.keywordClassificationen
dc.subject.keywordFeature extractionen
dc.subject.keywordPattern recognitionen
dc.subject.otherBiotechnologyen
dc.titleCurrent state of digital signal processing in myoelectric interfaces and related applicationsen
dc.typeA2 Katsausartikkeli tieteellisessä aikakauslehdessäfi
dc.type.dcmitypetexten
dc.type.versionFinal published versionen

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