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Title:NAPREDNO KRMILJENJE PROTETIČNIH NAPRAV S POMOČJO DEKOMPOZICIJE POVRŠINSKIH SIGNALOV EMG
Authors:ID Manačinski, Uroš (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf MAG_Manacinski_Uros_2013.pdf (3,37 MB)
MD5: 89B5AFA4809936DE93D4B5A8902F9BC8
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu obravnavamo realno-časovno dekompozicijo večkanalnih površinskih signalov EMG in izris povratne informacije uporabniku. Teoretični del obsega študijo metod za dekompozicijo signalov EMG in pregled trenutnega stanja tehnike na področju krmiljenja naprednih protetičnih naprav. Praktični del obsega izdelavo aplikacije, ki v programskem orodju matlab v realnem-času izrisuje povratno informacijo o aktivnih motoričnih enotah. Uspešnost razvite metode ovrednotimo na signalih EMG mišice tibialis anterior štirih zdravih mladih merjencev pri nizki, srednji in visoki stopnji kontrakcije. Neglede na stopnjo mišične kontrakcije, uspe metoda realnočasovne dekompozicije slediti do sedemnajstim sočasno aktivnim motoričnim enotam, ki so razpoznane s senzitivnostjo nad 95 %.
Keywords:površinski elektromiogram, dekompozicija signala, protetične naprave, realno-časovni sistemi, vmesniki človek-stroj
Place of publishing:Maribor
Publisher:[U. Manačinski]
Year of publishing:2013
PID:20.500.12556/DKUM-42043 New window
UDC:004.5.031.43:616-77(043.2)
COBISS.SI-ID:17517334 New window
NUK URN:URN:SI:UM:DK:OUUTFNIQ
Publication date in DKUM:17.09.2013
Views:2205
Downloads:212
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:ADVANCED CONTROL OF PROSTHETIC DEVICES BY MEANS OF SURFACE EMG DECOMPOSITION
Abstract:This master’s thesis addresses a decomposition of high-density surface electromyograms (EMG) and the feedback of the identified motor unit discharge patterns to the user in real-time. Theoretical part consists of a study of methods for surface EMG decomposition and a review of advanced controllers of upper limb prostheses. In the practical part, we introduce the matlab application that feeds the information on active motor units back to the user. The performance of the application is evaluated on surface EMG signals from tibialis anterior muscle of four young subjects during low, moderate and high level of isometric contraction. Regardless the contraction level, the introduced method tracks up to seventeen motor units with sensitivity in identification of their discharge patterns between 95 % and 100 %.
Keywords:surface electromyogram, signal decomposition, prosthetic devices, real-time systems, human-machine interfaces


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