1. Motor unit identification in the M waves recorded by high-density electromyMiloš Kalc, Jakob Škarabot, Matjaž Divjak, Filip Urh, Matej Kramberger, Matjaž Vogrin, Aleš Holobar, 2023, izvirni znanstveni članek Ključne besede: M wave, high-density surface EMG, firing identification, motor unit
Objavljeno v DKUM: 13.06.2024; Ogledov: 144; Prenosov: 15
 Celotno besedilo (2,30 MB)
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2. Identification of motor unit firings in H-reflex of soleus muscle recorded by high-density surface electromyographyMiloš Kalc, Jakob Škarabot, Matjaž Divjak, Filip Urh, Matej Kramberger, Matjaž Vogrin, Aleš Holobar, 2023, izvirni znanstveni članek Ključne besede: motor units identification, high-density surface EMG, decomposition, H-reflex
Objavljeno v DKUM: 13.06.2024; Ogledov: 133; Prenosov: 15
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3. Webinar: Data Management and EthicsMilan Ojsteršek, Matjaž Divjak, 2024, znanstveni film, znanstvena zvočna ali video publikacija Opis: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia.
More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html
The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/
This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152).
This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Ključne besede: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata
Objavljeno v DKUM: 09.05.2024; Ogledov: 201; Prenosov: 7
Celotno besedilo (5,54 MB)
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5. Decoding firings of a large population of human motor units from high-density surface electromyogram in response to transcranial magnetic stimulationJakob Škarabot, Claudia Ammann, Thomas G. Balshaw, Matjaž Divjak, Filip Urh, Nina Murks, Guglielmo Foffani, Aleš Holobar, 2023, izvirni znanstveni članek Opis: We describe a novel application of methodology for high-density surface electromyography (HDsEMG) decomposition to identify motor unit (MU) firings in response to transcranial magnetic stimulation (TMS). The method is based on the MU filter estimation from HDsEMG decomposition with convolution kernel compensation during voluntary isometric contractions and its application to contractions elicited by TMS. First, we simulated synthetic HDsEMG signals during voluntary contractions followed by simulated motor evoked potentials (MEPs) recruiting an increasing proportion of the motor pool. The estimation of MU filters from voluntary contractions and their application to elicited contractions resulted in high (>90%) precision and sensitivity of MU firings during MEPs. Subsequently, we conducted three experiments in humans. From HDsEMG recordings in first dorsal interosseous and tibialis anterior muscles, we demonstrated an increase in the number of identified MUs during MEPs evoked with increasing stimulation intensity, low variability in the MU firing latency and a proportion of MEP energy accounted for by decomposition similar to voluntary contractions. A negative relationship between the MU recruitment threshold and the number of identified MU firings was exhibited during the MEP recruitment curve, suggesting orderly MU recruitment. During isometric dorsiflexion we also showed a negative association between voluntary MU firing rate and the number of firings of the identified MUs during MEPs, suggesting a decrease in the probability of MU firing during MEPs with increased background MU firing rate. We demonstrate accurate identification of a large population of MU firings in a broad recruitment range in response to TMS via non-invasive HDsEMG recordings. KEY POINTS: Transcranial magnetic stimulation (TMS) of the scalp produces multiple descending volleys, exciting motor pools in a diffuse manner. The characteristics of a motor pool response to TMS have been previously investigated with intramuscular electromyography (EMG), but this is limited in its capacity to detect many motor units (MUs) that constitute a motor evoked potential (MEP) in response to TMS. By simulating synthetic signals with known MU firing patterns, and recording high-density EMG signals from two human muscles, we show the feasibility of identifying firings of many MUs that comprise a MEP. We demonstrate the identification of firings of a large population of MUs in the broad recruitment range, up to maximal MEP amplitude, with fewer required stimuli compared to intramuscular EMG recordings. The methodology demonstrates an emerging possibility to study responses to TMS on a level of individual MUs in a non-invasive manner.
Ključne besede: transcranial magnetic stimulation, TMS, electromyiograms
Objavljeno v DKUM: 10.04.2024; Ogledov: 421; Prenosov: 22
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6. Inter-person differences in isometric coactivations of triceps surae and tibialis anterior decrease in young, but not in older adults after 14 days of bed restMatjaž Divjak, Gašper Sedej, Nina Murks, Mitja Gerževič, Uroš Marušič, Rado Pišot, Boštjan Šimunič, Aleš Holobar, 2022, izvirni znanstveni članek Opis: We examined activation patterns of the gastrocnemius medialis (GM), gastrocnemius lateralis (GL), soleus (SO), and tibialis anterior (TA) muscles in eight older (58.4 ± 3.3 years) and seven young (23.1 ± 2.9 years) participants, before and after 14 days of horizontal bed rest. Visual feedback on the exerted muscle torque was provided to the participants. The discharge patterns of individual motor units (MUs) were studied in three repetitions of isometric plantar flexion at 30 and 60% of Maximum Voluntary Contraction (MVC), before, and 1 day after the 14-day bed rest, respectively. In the GL and GM muscles, the older participants demonstrated higher MU discharge rates than the young, regardless of the contraction level, both before and after the bed rest. In the TA and SO muscles, the differences between the older and young participants were less consistent. Detailed analysis revealed person-specific changes in the MU discharge rates after the bed rest. To quantify the coactivation patterns we calculated the correlation coefficients between the cumulative spike trains of identified MUs from each muscle, and measured the root mean square difference of the correlation coefficients between the trials of the same session (intra-session variability) and between different sessions (inter-session variability) in each participant (intra-person comparison) and across participants (inter-person comparison). In the intra-person comparison, the inter-session variability was higher than the intra-session variability, either before or after the bed rest. At 60% MVC torque, the young demonstrated higher inter-person variability of coactivation than the older participants, but this variability decreased significantly after the bed rest. In older participants, inter-person variability was consistently lower at 60% than at 30% MVC torque. In young participants, inter-person variability became lower at 60% than at 30% MVC torque only after the bed rest. Precaution is required when analyzing the MU discharge and coactivation patterns, as individual persons demonstrate individual adaptations to aging or bed rest.
Ključne besede: mišičnoskeletni sistem, mišice, bed rest, staranje, elektromiografija, high density electromyography, muscle disuse, motor units, discharge rate, aging
Objavljeno v DKUM: 07.07.2023; Ogledov: 539; Prenosov: 61
Celotno besedilo (4,31 MB)
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7. Avtomatizacija kletke za hrčka s pomočjo platforme arduino : diplomsko deloIva Premoša, 2022, diplomsko delo Opis: V tem diplomskem delu smo opisali strojno in programsko opremo Arduino. Opisana je izdelava avtomatizirane kletke za hrčke s pomočjo platforme Arduino. Avtomatizacija omogoča merjenje aktivnosti hrčka, kot so hitrost in pogostost teka po krogu s pomočjo magnetov in senzorja Hallovega pojava. Vgradili smo vodni senzor, ki nas sproti obvešča, ali je gladina vode prenizka. Izdelali smo avtomatski podajalnik, ki ga lahko preko povezave Bluetooth upravljamo z mobilno napravo. Omogočili smo nastavitev alarma za hranjenje. Delo nam z dodatnimi vpogledi v njegove dejavnosti in varnostnim sistemom olajša skrb za hrčka.
Ključne besede: avtomatizacija, Arduino, kletka, hrček, senzorji
Objavljeno v DKUM: 24.10.2022; Ogledov: 707; Prenosov: 95
Celotno besedilo (2,37 MB) |
8. Razvoj pametne ure na računalniški platformi Seeeduino Xiao : diplomsko deloIan Bogdan, 2021, diplomsko delo Opis: Cilj tega diplomskega dela je bil izdelati pametno uro, podobno rešitvam, ki so na trenutnem trgu, in Android aplikacijo, s katero bi jo upravljali prek komunikacije Bluetooth. Glavne naloge pametne ure so merjenje časa in srčnega utripa, prikazovanje informacij na zaslonu in komunikacija z aplikacijo Android. Predstavljamo postopek izbire in implementacije uporabljene strojne in programske opreme ter opisujemo delovanje pametne ure.
Ključne besede: Seeeduino Xiao, pametna ura, IoT, nosljiva tehnologija
Objavljeno v DKUM: 18.10.2021; Ogledov: 759; Prenosov: 82
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9. Optimizacija slikovnih operatorjev za segmentacijo mikroskopskih slikTomaž Avberšek, 2018, magistrsko delo Opis: Delo obravnava obdelavo mikroskopskih slik celic oz. tkiv na podlagi večstopenjske digitalne obdelave slik. Namen je bila optimizacija morfoloških operatorjev za segmentacijo mikroskopskih slik. V delu sta uporabljena Bayesova segmentacija in genetski algoritem pri iskanju dobrega kromosoma za optimiziranje rezultatov slikovne segmentacije. Pri učenju in testiranju smo uporabili slike modro in rjavo obarvanih celic z merilno skalo 50 μm. Učno množico je sestavljalo sedem, testno pa enajst slik velikosti 2088 x 1550 pikslov. Natančnost segmentacije je bila boljša pri rjavih pikslih in je v povprečju dosegla 76 odstotkov pri metriki pravilno pozitivno zaznanih pikslov. Z 51 odstotki pri isti metriki se je segmentacija modrega razreda odrezala precej slabše.
Ključne besede: genetski algoritem, segmentacija, celice, optimizacija, Bayes
Objavljeno v DKUM: 24.08.2018; Ogledov: 1805; Prenosov: 132
Celotno besedilo (3,38 MB)
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