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Title:NIZKOCENOVNI VMESNIK MIŠICE-STROJ ZA OCENJEVANJE KONTROLNIH STRATEGIJ SKELETNIH MIŠIC IZ POVRŠINSKIH ELEKTROMIOGRAMOV
Authors:ID Obu, Jan (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf MAG_Obu_Jan_2016.pdf (16,27 MB)
MD5: 7C31A99614A8BEA1B1BDBC4BE5001F91
 
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 analiziramo primernost in uporabnost zapestnice Myo za merjenje površinskih elektromiogramov (EMG) in analizo gibov zgornjih okončin. Najprej preučimo karakteristike inercijskih meritev zgornjih okončin in signalov EMG in pokažemo, da zapestnica Myo krši Nyquistov teorem. Primernost zajetih signalov EMG za klasifikacijo ekstenzije, fleksije, supinacije, pronacije ter ulnarne in radialne deviacije zapestja preverimo na osmih zdravih preiskovancih. Vse omenjene gibe so preiskovanci izvedli pri dveh različnih stopnjah mišičnih skrčitev in pri dveh različnih namestitvah zapestnice, in sicer v najbolj distalni poziciji, ki jo je zapestnica Myo še dopuščala in v optimalni poziciji glede na anatomijo preiskovančeve podlahti. Rezultati analize so pokazali, da je najbolj razpoznavna ulnarna deviacija zapestja, sledi ji ekstenzija zapestja, na tretjem mestu pa je fleksija zapestja, ki je pri slabih pogojih že precej nenatančno razpoznana. Ostali gibi imajo manj kot 50 % natančnost razpoznave.
Keywords:zapestnica Myo, površinski elektromiogrami, ponovljivost gibov, vmesnik mišice-stroj
Place of publishing:[Maribor
Publisher:J. Obu
Year of publishing:2016
PID:20.500.12556/DKUM-57874 New window
UDC:004.5.[004.932:616](043.2)
COBISS.SI-ID:19544086 New window
NUK URN:URN:SI:UM:DK:VBB5UKCO
Publication date in DKUM:25.04.2016
Views:1721
Downloads:183
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:LOW-COST MUSCLE MACHINE INTERFACE FOR ASSESMENT OF MUSCLE CONTROL STRATEGIES FROM SURFACE ELECTROMYOGRAMS
Abstract:In this master's thesis, we analyze suitability of Myo Gesture Control Armband to measure surface electromyographic (EMG) signals and to discriminate different wrist movements. Firstly, we analyze characteristics of sampled inertial and EMG signals and show that Myo armband violates Nyquist theorem. Suitability of acquired EMG samples for classification of wrist extensions, flexions, supinations, pronations and radial and ulnar deviations is then checked on eight healthy persons. All aforementioned wrist movements have been performed at two different contraction levels and at two different positions of the Myo armband, namely at its most distal position and at its optimal position. Results of our analysis show that ulnar deviation is most easily discriminated from other movements. The second and third most discriminative movements are wrist flexion and wrist extension. Other tested movements have been accurately discriminated in less than 50 % of our tests.  
Keywords:Myo armband, surface electromyogram, movement repeatability, muscle-computer interfaces


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