| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:VREDNOTENJE RAČUNALNIŠKO-PODPRTIH POSTOPKOV ZA ROBUSTNO IN NEINVAZIVNO MERJENJE MIŠIČNE UTRUJENOSTI
Authors:ID Plankelj, Jernej (Author)
ID Holobar, Aleš (Mentor) More about this mentor... New window
Files:.pdf UNI_Plankelj_Jernej_2014.pdf (2,47 MB)
MD5: CCBF7E634E5C364892487B44644BCF80
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Površinski elektromiogram (EMG) omogoča neinvazivno in skoraj nemoteče merjenje mišične utrujenosti. S tem odpira nove možnosti v implementaciji sodobnih vmesnikov mišice-stroj in njihovi uporabi v zabavni industriji, medicini dela, urjenju športnikov ter rehabilitaciji. V diplomskem delu smo primerjali različne postopke računalniško podprtega vrednotenja mišične utrujenosti iz signalov EMG. V ta namen smo preučili zvezo med srednjo usmerjeno vrednostjo zajetih signalov EMG, izmerjeno mišično silo in aktivacijskim signalom mišice, ocenjenim na podlagi dekompozicije signalov EMG na prispevke posameznih motoričnih enot. Preučili smo tako vpliv dolžine okna za izračun srednje usmerjene vrednosti kot tudi vpliv števila kanalov signalov EMG. Slednje smo s poljem 64 elektrod posneli med izometrično skrčitvijo mišice abductor pollicis brevis pri osmih zdravih preiskovancih. Rezultati kažejo, da uporaba predolgega okna in le enega kanala ne omogoča natančne analize mišične utrujenosti.
Keywords:vmesniki mišice-stroj, mišična utrujenost, elektromiogram, amplituda, mišična sila, aktivacijski signal mišice, srednje usmerjena vrednost
Place of publishing:[Maribor
Publisher:J. Plankelj
Year of publishing:2014
PID:20.500.12556/DKUM-45366 New window
UDC:004.5:616-073.7(043.2)
COBISS.SI-ID:19165974 New window
NUK URN:URN:SI:UM:DK:8CVDLVXU
Publication date in DKUM:06.11.2015
Views:1539
Downloads:176
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:DETECTION OF MUSCLE FATIGUE WITH MULTICHANNEL MUSCLE-COMPUTER INTERFACE
Abstract:Surface electromyogram (EMG) enables non-invasive and unobtrusive assessment of muscle fatigue. This opens up new possibilities in the implementation of modern muscle-machine interfaces and their use in the entertainment industry, occupational medicine, rehabilitation and training of athletes. In our thesis, we compared different methods of computer-aided evaluation of muscle fatigue from EMG signals. We examined the relationship between the average rectified value (ARV) of acquired EMG signals, muscle force and neural drive to the muscle. The latter was estimated by decomposing EMG signals into the contributions of individual motor units. We have examined both the impact of the length of the window in AVR calculation, as well as the impact of number of EMG channels. EMG signals were acquired by the array of 64 electrodes during isometric contraction of abductor pollicis brevis muscle in eight healthy subjects. The results show that the use of windows of excessive length and only one EMG channel prevents precise muscle fatigue analysis.
Keywords:muscle-computer interface, muscle fatigue, electromyogram, amplitude, muscle force, neural drive to skeletal muscles, root mean square


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica