1. The efficiency of manual editing of high-density surface electromyogram decomposition depends on the recorded muscle and contraction level but less on the operator’s experienceNina Murks, Jakob Škarabot, Matej Kramberger, Matjaž Divjak, Gašper Sedej, Tamara Valenčič, Christopher D. Connelly, Haydn Thomason, Aleš Holobar, 2025, izvirni znanstveni članek Opis: We investigated the agreement and accuracy of manual editing of the high-density electromyogram (hdEMG) decomposition results by seven human operators with various experience levels. All operators edited the same automatically decomposed experimental hdEMG from the first dorsal interosseous (FDI), tibialis anterior (TA), vastus lateralis (VL), and biceps brachii (BB) muscles, and synthetic hdEMG from soleus (SO) and BB muscles at 10%, 30%, 50% and 70% of maximum voluntary contraction. On average, operators kept 13.7 ± 7.4 motor units (MUs) after editing and demonstrated relatively large disagreement in the calculated MU pulse trains (normalized root mean square difference) but relatively high agreement in the identified MU discharges. Inter-operator agreement positively correlated with the initial MU Pulse-to-Noise Ratio used as a quality measure of automatic MU identification, and negatively correlated with the muscle contraction level. Operators agreed more on the results of the simulated than experimental hdEMG. Among the experimental muscles tested, the greatest agreement was demonstrated for VL and the lowest for BB. We obtained similar results when comparing editing to the results of the most experienced operator and to ground truth in simulated cases: the greatest precision and sensitivity were demonstrated for VL, and the lowest for BB. The level of the operator’s experience had a significant impact on the editing of synthetic hdEMG and the detection of the first MU discharge, but not on the rate of agreement or editing time of experimental hdEMG.
Ključne besede: hdEMG, manual editing, decomposition results, human operators, motor unit, človeški operaterji
Objavljeno v DKUM: 14.10.2025; Ogledov: 0; Prenosov: 4
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2. Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders : D5.1 Best practices for international promotion and research managementTanja Botić, Aleš Holobar, Matjaž Divjak, Ciaran McGeady, Alejandro Pascual Valdunciel, Silvia Chellini, Juan Pérez Rodríguez, Roger Esteban Vives, Miquel Angel Mañanas, Silvia Muceli, 2025, elaborat, predštudija, študija Objavljeno v DKUM: 04.06.2025; Ogledov: 0; Prenosov: 0
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3. Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders : D3.1 Established measurement protocol with prepared instrumentationMatej Kramberger, Nina Murks, Matjaž Divjak, Silvia Muceli, Alejandro Pascual Valdunciel, Monica Marlene Rojas Martinez, Miquel Angel Mañanas, Božidar Potočnik, 2023, končno poročilo o rezultatih raziskav Objavljeno v DKUM: 19.05.2025; Ogledov: 0; Prenosov: 4
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4. 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: 19
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5. 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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6. 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: 8
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8. 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: 30
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9. 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: 65
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10. 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: 102
Celotno besedilo (2,37 MB) |
