Nizkocenovni vmesnik mišice-stroj za ocenjevanje kontrolnih strategij skeletnih mišic iz površinskih elektromiogramov

magistrsko delo

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

površinski miogrami;ponovljivost gibov;vmesnik mišice-stroj;Myo zapestnica;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	J. Obu
UDC:	004.5.[004.932:616](043.2)
COBISS:	19544086
Views:	1258
Downloads:	148
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	LOW-COST MUSCLE MACHINE INTERFACE FOR ASSESMENT OF MUSCLE CONTROL STRATEGIES FROM SURFACE ELECTROMYOGRAMS
Secondary 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.
Secondary keywords:	surface electromyogram;movement repeatability;muscle-computer interfaces;Myo armband;
URN:	URN:SI:UM:
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	XII, 82 f.
ID:	9130730