20.500.12556/DKUM-45366 VREDNOTENJE RAČUNALNIŠKO-PODPRTIH POSTOPKOV ZA ROBUSTNO IN NEINVAZIVNO MERJENJE MIŠIČNE UTRUJENOSTI DETECTION OF MUSCLE FATIGUE WITH MULTICHANNEL MUSCLE-COMPUTER INTERFACE 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. 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. vmesniki mišice-stroj mišična utrujenost elektromiogram amplituda mišična sila aktivacijski signal mišice srednje usmerjena vrednost muscle-computer interface muscle fatigue electromyogram amplitude muscle force neural drive to skeletal muscles root mean square true true false J. Plankelj Slovenski jezik Angleški jezik Diplomsko delo/naloga 2014-08-24 19:15:18 2015-11-06 12:06:31 2022-05-15 03:07:11 2021-05-02 03:37:00 2014 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.5:616-073.7(043.2) 19165974 URN:SI:UM:DK:8CVDLVXU UNI_Plankelj_Jernej_2014.pdf UNI_Plankelj_Jernej_2014.pdf 1 CCBF7E634E5C364892487B44644BCF80 fbba4cd1b0f4ef5cdec18425e978655d052b0758d70b5041ac76edad39f459bd 10d43eca-7c0b-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=65636 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0