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dc.contributor.authorJičinský, Pavel
dc.contributor.authorMareš, Jan
dc.contributor.editorPinker, Jiří
dc.date.accessioned2021-10-27T11:01:30Z
dc.date.available2021-10-27T11:01:30Z
dc.date.issued2021
dc.identifier.citation2021 International Conference on Applied Electronics: Pilsen, 7th – 8th September 2021, Czech Republic, p. 65-70.en
dc.identifier.isbn978–80–261–0972–3 (Print)
dc.identifier.isbn978–80–261–0973–0 (Online)
dc.identifier.issn1803–7232 (Print)
dc.identifier.issn1805–9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/45567
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© University of West Bohemia, 2021en
dc.subjectEMGcs
dc.subjectortopediecs
dc.subjectbiopotenciálcs
dc.subjectměřenícs
dc.titleDevelopment of Motion Analysis Tool for Orthopedic diseasesen
dc.typeconferenceObjecten
dc.typekonferenční příspěvekcs
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe work is focused on the development of mobile devices for diagnostics from motion data. Such devices can be used in a wide range of medical disciplines, from rehabilitation medicine to neurology. In this case we focus on rehabilitation after surgery of large joints (shoulder, knee, hip). In this article, we present the basic prototype of devices for collecting motion data and their fusion with electromyographic data, from which we will then analyze the disturbances of momentum.en
dc.subject.translatedEMGen
dc.subject.translatedorthopedicsen
dc.subject.translatedbiopotentialen
dc.subject.translatedmeasurementsen
dc.type.statusPeer-revieweden
Appears in Collections:Applied Electronics 2021
Applied Electronics 2021

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