Muceli, Silvia

[["dc.bibliographiccitation.artnumber","066015"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Journal of Neural Engineering"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Marateb, Hamid Reza"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","McGill, Kevin C."],["dc.contributor.author","Merletti, Roberto"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T08:49:24Z"],["dc.date.available","2018-11-07T08:49:24Z"],["dc.date.issued","2011"],["dc.description.abstract","This paper presents a density-based method to automatically decompose single-channel intramuscular electromyogram (EMG) signals into their component motor unit action potential (MUAP) trains. In contrast to most previous decomposition methods, which require pre-setting and (or) tuning of multiple parameters, the proposed method takes advantage of the data-dependent strategies in the pattern recognition procedures. In this method, outliers (superpositions) are excluded prior to classification and MUAP templates are identified by an adaptive density-based clustering procedure. MUAP trains are then identified by a novel density-based classifier that incorporates MUAP shape and discharge time information. MUAP trains are merged by a fuzzy system that incorporates expert human knowledge. Finally, superimpositions are resolved to fill the gaps in the MUAP trains. The proposed decomposition algorithm has been experimentally tested on signals from low-force (<= 30% maximal) isometric contractions of the vastus medialis obliquus, vastus lateralis, biceps femoris long-head and tibialis anterior muscles. Comparison with expert manual decomposition that had been verified using a rigorous statistical analysis showed that the algorithm identified 80% of the total 229 motor unit trains with an accuracy greater than 90%. The algorithm is robust and accurate, and therefore it is a promising new tool for decomposing single-channel multi-unit signals."],["dc.identifier.doi","10.1088/1741-2560/8/6/066015"],["dc.identifier.isi","000297684400028"],["dc.identifier.pmid","22063475"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21450"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.issn","1741-2552"],["dc.relation.issn","1741-2560"],["dc.title","Robust decomposition of single-channel intramuscular EMG signals at low force levels"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","283"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Electromyography and Kinesiology"],["dc.bibliographiccitation.lastpage","290"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Kirkesola, Gitle"],["dc.contributor.author","Katch, Frank"],["dc.contributor.author","Falla, Deborah"],["dc.date.accessioned","2018-11-07T08:57:59Z"],["dc.date.available","2018-11-07T08:57:59Z"],["dc.date.issued","2011"],["dc.description.abstract","This study compares neck force steadiness in women with neck pain and controls and the way this is influenced by short term vibration of the neck. In the first experiment, 9 women with chronic neck pain and 9 controls performed 10-s isometric cervical flexion at 15 N. Intramuscular EMG was recorded from the sternocleidomastoid muscle. In the second experiment, 10 women with neck pain and 10 controls performed 10-s isometric cervical flexion at 25% of their maximal force before and after vibration to the neck (bursts of 50 Hz with duration 20, 40, 60 and 120 s). Surface EMG was acquired from the sternocleidomastoid and splenius capitis. In both experiments, force steadiness was characterized by the coefficient of variation (CoV) and the relative power in three frequency subbands (low: 0-3 Hz; middle: 4-6 Hz; high: 8-12 Hz) of the force signal. Women with neck pain exhibited decreased force steadiness (Exp 1: patients 3.9 +/- 1.3%, controls 2.7 +/- 0.9%, P < 0.05; Exp 2: patients 3.4 +/- 1.2%, controls 1.7 +/- 0.6%, P < 0.01) which was associated with higher power in the low-frequency band (patients 71.2 +/- 9.6%, controls 56.7 +/- 9.2%, P < 0.01). Following vibration, CoV (2.6 +/- 1.1%, P < 0.05) and the power in the low-frequency band of the force signal decreased (63.1 +/- 13.9%, P < 0.05) in the patient group. These effects were not present in controls. Motor unit behavior and surface EMG amplitude were similar between groups. In conclusion, women with neck pain have reduced force steadiness, likely due to alterations in Ia afferent input. Vibration, which modulates Ia afferent input, increases force steadiness in patients with neck pain. (C) 2010 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.jelekin.2010.11.011"],["dc.identifier.isi","000287308600012"],["dc.identifier.pmid","21195628"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23536"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ltd"],["dc.relation.issn","1050-6411"],["dc.title","Reduced force steadiness in women with neck pain and the effect of short term vibration"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3789"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","The Journal of Physiology"],["dc.bibliographiccitation.lastpage","3804"],["dc.bibliographiccitation.volume","593"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Poppendieck, Wigand"],["dc.contributor.author","Negro, Francesco"],["dc.contributor.author","Yoshida, Ken"],["dc.contributor.author","Hoffmann, Klaus P."],["dc.contributor.author","Butler, Jane E."],["dc.contributor.author","Gandevia, Simon C."],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:52:40Z"],["dc.date.available","2018-11-07T09:52:40Z"],["dc.date.issued","2015"],["dc.description.abstract","We describe the design, fabrication and testing of a novel multi-channel thin-film electrode for detection of the output of motoneurones in vivo and in humans, through muscle signals. The structure includes a linear array of 16 detection sites that can sample intramuscular electromyographic activity from the entire muscle cross-section. The structure was tested in two superficial muscles (the abductor digiti minimi (ADM) and the tibialis anterior (TA)) and a deep muscle (the genioglossus (GG)) during contractions at various forces. Moreover, surface electromyogram (EMG) signals were concurrently detected from the TA muscle with a grid of 64 electrodes. Surface and intramuscular signals were decomposed into the constituent motor unit (MU) action potential trains. With the intramuscular electrode, up to 31 MUs were identified from the ADM muscle during an isometric contraction at 15% of the maximal force (MVC) and 50 MUs were identified for a 30% MVC contraction of TA. The new electrode detects different sources from a surface EMG system, as only one MU spike train was found to be common in the decomposition of the intramuscular and surface signals acquired from the TA. The system also allowed access to the GG muscle, which cannot be analysed with surface EMG, with successful identification of MU activity. With respect to classic detection systems, the presented thin-film structure enables recording from large populations of active MUs of deep and superficial muscles and thus can provide a faithful representation of the neural drive sent to a muscle."],["dc.identifier.doi","10.1113/JP270902"],["dc.identifier.isi","000360769900009"],["dc.identifier.pmid","26174910"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36177"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1469-7793"],["dc.relation.issn","0022-3751"],["dc.title","Accurate and representative decoding of the neural drive to muscles in humans with multi-channel intramuscular thin-film electrodes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","eabo5040"],["dc.bibliographiccitation.issue","46"],["dc.bibliographiccitation.journal","Science Advances"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Poppendieck, Wigand"],["dc.contributor.author","Holobar, Aleš"],["dc.contributor.author","Gandevia, Simon"],["dc.contributor.author","Liebetanz, David"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2022-12-01T08:31:15Z"],["dc.date.available","2022-12-01T08:31:15Z"],["dc.date.issued","2022"],["dc.description.abstract","Invasive electromyography opened a new window to explore motoneuron behavior in vivo. However, the technique is limited by the small fraction of active motoneurons that can be concurrently detected, precluding a population analysis in natural tasks. Here, we developed a high-density intramuscular electrode for in vivo human recordings along with a fully automatic methodology that could detect the discharges of action potentials of up to 67 concurrently active motoneurons with 99% accuracy. These data revealed that motoneurons of the same pool receive common synaptic input at frequencies up to 75 Hz and that late-recruited motoneurons inhibit the discharges of those recruited earlier. These results constitute an important step in the population coding analysis of the human motor system in vivo."],["dc.description.abstract","Developing implanted electrodes and an automatic decomposition algorithm addresses open questions in motoneuron physiology."],["dc.identifier.doi","10.1126/sciadv.abo5040"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118122"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-621"],["dc.relation.eissn","2375-2548"],["dc.title","Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","371"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","378"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:10:40Z"],["dc.date.available","2018-11-07T09:10:40Z"],["dc.date.issued","2012"],["dc.description.abstract","This paper proposes and tests on able-bodied subjects a control strategy that can be practically applied in unilateral transradial amputees for simultaneous and proportional control of multiple degrees-of-freedom (DOFs). We used artificial neural networks to estimate kinematics of the complex wrist/hand from high-density surface electromyography (EMG) signals of the contralateral limb during mirrored bilateral movements in free space. The movements tested involved the concurrent activation of wrist flexion/extension, radial/ulnar deviation, forearm pronation/supination, and hand closing. The accuracy in estimation was in the range 79%-88% (r(2) index) for the four DOFs in six able-bodied subjects. Moreover, the estimation of the pronation/supination angle (wrist rotation) was influenced by the reduction in the number of EMG channels used for the estimation to a greater extent than the other DOFs. In conclusion, the proposed method and set-up provide a viable means for proportional and simultaneous control of multiple DOFs for hand prostheses."],["dc.identifier.doi","10.1109/TNSRE.2011.2178039"],["dc.identifier.isi","000304550600016"],["dc.identifier.pmid","22180516"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/26542"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1534-4320"],["dc.title","Simultaneous and Proportional Estimation of Hand Kinematics From EMG During Mirrored Movements at Multiple Degrees-of-Freedom"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","666"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Neurophysiology"],["dc.bibliographiccitation.lastpage","676"],["dc.bibliographiccitation.volume","107"],["dc.contributor.author","Vieira, Taian Martins"],["dc.contributor.author","Loram, Ian D."],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Merletti, Roberto"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:15:58Z"],["dc.date.available","2018-11-07T09:15:58Z"],["dc.date.issued","2012"],["dc.description.abstract","Vieira TM, Loram ID, Muceli S, Merletti R, Farina D. Recruitment of motor units in the medial gastrocnemius muscle during human quiet standing: is recruitment intermittent? What triggers recruitment? J Neurophysiol 107: 666-676, 2012. First published October 12, 2011; doi:10.1152/jn.00659.2011.-The recruitment and the rate of discharge of motor units are determinants of muscle force. Within a motoneuron pool, recruitment and rate coding of individual motor units might be controlled independently, depending on the circumstances. In this study, we tested whether, during human quiet standing, the force of the medial gastrocnemius (MG) muscle is predominantly controlled by recruitment or rate coding. If MG control during standing was mainly due to recruitment, then we further asked what the trigger mechanism is. Is it determined internally, or is it related to body kinematics? While seven healthy subjects stood quietly, intramuscular electromyograms were recorded from the MG muscle with three pairs of wire electrodes. The number of active motor units and their mean discharge rate were compared for different sway velocities and positions. Motor unit discharges occurred more frequently when the body swayed faster and forward (Pearson R = 0.63; P < 0.0001). This higher likelihood of observing motor unit potentials was explained chiefly by the recruitment of additional units. During forward body shifts, the median number of units detected increased from 3 to 11 (P < 0.0001), whereas the discharge rate changed from 8 +/- 1.1 (mean +/- SD) to 10 +/- 0.9 pulses/s (P = 0.001). Strikingly, motor units did not discharge continuously throughout standing. They were recruited within individual, forward sways and intermittently, with a modal rate of two recruitments per second. This modal rate is consistent with previous circumstantial evidence relating the control of standing to an intrinsic, higher level planning process."],["dc.identifier.doi","10.1152/jn.00659.2011"],["dc.identifier.isi","000299167000014"],["dc.identifier.pmid","21994258"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/27833"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physiological Soc"],["dc.relation.issn","0022-3077"],["dc.title","Recruitment of motor units in the medial gastrocnemius muscle during human quiet standing: is recruitment intermittent? What triggers recruitment?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1615"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Journal of Neurophysiology"],["dc.bibliographiccitation.lastpage","1630"],["dc.bibliographiccitation.volume","111"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Falla, Deborah"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:41:46Z"],["dc.date.available","2018-11-07T09:41:46Z"],["dc.date.issued","2014"],["dc.description.abstract","Muscle pain induces a complex reorganization of the motor strategy which cannot be fully explained by current theories. We tested the hypothesis that the neural control of muscles during reaching in the presence of nociceptive input is determined by a reorganization of muscle synergies with respect to control conditions. Muscle pain was induced by injection of hypertonic saline into the anterior deltoid muscle of eight men. Electromyographic (EMG) signals were recorded from 12 upper limb muscles as subjects performed a reaching task before (baseline) and after the injection of hypertonic (pain) saline, and after the pain sensation vanished. The EMG envelopes were factorized in muscle synergies, and activation signals extracted for each condition. Nociceptive stimulation resulted in a complex muscle reorganization without changes in the kinematic output. The anterior deltoid muscle activity decreased in all subjects while the changes in other muscles were subject specific. Three synergies sufficed to describe the EMG patterns in each condition, suggesting that reaching movements remain modular in the presence of experimental pain. Muscle reorganization in all subjects was accompanied by a change in the activation signals compatible with a change in the central drive to muscles. One, two or three synergies were shared between the baseline and painful conditions, depending on the subject. These results indicate that nociceptive stimulation may induce a reorganization of modular control in reaching. We speculate that such reorganization may be due to the recruitment of synergies specific to the painful condition."],["dc.identifier.doi","10.1152/jn.00147.2013"],["dc.identifier.isi","000335777100008"],["dc.identifier.pmid","24453279"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33802"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physiological Soc"],["dc.relation.issn","1522-1598"],["dc.relation.issn","0022-3077"],["dc.title","Reorganization of muscle synergies during multidirectional reaching in the horizontal plane with experimental muscle pain"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","623"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","IEEE Transactions on Neural Systems and Rehabilitation Engineering"],["dc.bibliographiccitation.lastpage","633"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Jiang, Ning"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T09:40:24Z"],["dc.date.available","2018-11-07T09:40:24Z"],["dc.date.issued","2014"],["dc.description.abstract","Previous research proposed the extraction of myoelectric control signals by linear factorization of multi-channel electromyogram (EMG) recordings from forearm muscles. This paper further analyses the theoretical basis for dimensionality reduction in high-density EMG signals from forearm muscles. Moreover, it shows that the factorization of muscular activation patterns in weights and activation signals by non-negative matrix factorization (NMF) is robust with respect to the channel configuration from where the EMG signals are obtained. High-density surface EMG signals were recorded from the forearm muscles of six individuals. Weights and activation signals extracted offline from 10 channel configurations with varying channel numbers (6, 8, 16, 192 channels) were highly similar. Additionally, the method proved to be robust against electrode shifts in both transversal and longitudinal direction with respect to the muscle fibers. In a second experiment, six subjects directly used the activation signals extracted from high-density EMG for online goal-directed control tasks involving simultaneous and proportional control of two degrees-of-freedom of the wrist. The synergy weights for this control task were extracted from a reference configuration and activation signals were calculated online from the reference configuration as well as from the two shifted configurations, simulating electrode shift. Despite the electrode shift, the task completion rate, task completion time, and execution efficiency were generally not statistically different among electrode configurations. Online performances were also mostly similar when using either 6, 8, or 16 EMG channels. The robustness of the method to the number and location of channels, proved both offline and online, indicates that EMG signals recorded from forearm muscles can be approximated as linear instantaneous mixtures of activation signals and justifies the use of linear factorization algorithms for extracting, in a minimally supervised way, control signals for simultaneous multi-degree of freedom prosthesis control."],["dc.identifier.doi","10.1109/TNSRE.2013.2282898"],["dc.identifier.isi","000342079300020"],["dc.identifier.pmid","24132017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33501"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Ieee-inst Electrical Electronics Engineers Inc"],["dc.relation.issn","1558-0210"],["dc.relation.issn","1534-4320"],["dc.title","Extracting Signals Robust to Electrode Number and Shift for Online Simultaneous and Proportional Myoelectric Control by Factorization Algorithms"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","026027"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Neural Engineering"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Negro, Francesco"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Castronovo, Anna Margherita"],["dc.contributor.author","Holobar, Ales"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T10:16:02Z"],["dc.date.available","2018-11-07T10:16:02Z"],["dc.date.issued","2016"],["dc.description.abstract","Objective. The study of motor unit behavior has been classically performed by selective recording systems of muscle electrical activity (EMG signals) and decomposition algorithms able to discriminate between individual motor unit action potentials from multi -unit signals. In this study, we provide a general framework for the decomposition of multi-channel intramuscular and surface EMG signals and we extensively validate this approach with experimental recordings. Approach. First, we describe the conditions under which the assumptions of the convolutive blind separation model are satisfied. Second, we propose an approach of convolutive sphering of the observations followed by an iterative extraction of the sources. This approach is then validated using intramuscular signals recorded by novel multi-channel thin-film electrodes on the Abductor Digiti Minimi of the hand and Tibilias Anterior muscles, as well as on high -density surface EMG signals recorded by electrode grids on the First Dorsal Interosseous muscle. The validation was based on the comparison with the gold standard of manual decomposition (for intramuscular recordings) and on the two -source method (for comparison of intramuscular and surface EMG recordings) for the three human muscles and contraction forces of up to 90% MVC. Main results. The average number of common sources identified for the validation was 14 7 (averaged across all trials and subjects and all comparisons), with a rate of agreement in their discharge timings of 92.8 +/- 3.2%. The average Decomposability Index, calculated on the automatic decomposed signals, was 16.0 +/- 2.2 (7.3-44.1). For comparison, the same index calculated on the manual decomposed signals was 15.0 +/- 3.0 (6.3-76.6). Significance. These results show that the method provides a solid framework for the decomposition of multi-channel invasive and non-invasive EMG signals that allows the study of the behavior of a large number of concurrently active motor units."],["dc.identifier.doi","10.1088/1741-2560/13/2/026027"],["dc.identifier.isi","000375683800036"],["dc.identifier.pmid","26924829"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40953"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.issn","1741-2552"],["dc.relation.issn","1741-2560"],["dc.title","Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","365"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Applied Physiology"],["dc.bibliographiccitation.lastpage","376"],["dc.bibliographiccitation.volume","118"],["dc.contributor.author","Dideriksen, Jakob Lund"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Dosen, Strahinja"],["dc.contributor.author","Laine, C. M."],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2018-11-07T10:01:36Z"],["dc.date.available","2018-11-07T10:01:36Z"],["dc.date.issued","2015"],["dc.description.abstract","Neuromuscular electrical stimulation (NMES) is commonly used in rehabilitation, but electrically evoked muscle activation is in several ways different from voluntary muscle contractions. These differences lead to challenges in the use of NMES for restoring muscle function. We investigated the use of low-current, high-frequency nerve stimulation to activate the muscle via the spinal motoneuron (MN) pool to achieve more natural activation patterns. Using a novel stimulation protocol, the H-reflex responses to individual stimuli in a train of stimulation pulses at 100 Hz were reliably estimated with surface EMG during low-level contractions. Furthermore, single motor unit recruitment by afferent stimulation was analyzed with intramuscular EMG. The results showed that substantially elevated H-reflex responses were obtained during 100-Hz stimulation with respect to a lower stimulation frequency. Furthermore, motor unit recruitment using 100-Hz stimulation was not fully synchronized, as it occurs in classic NMES, and the discharge rates differed among motor units because each unit was activated only after a specific number of stimuli. The most likely mechanism behind these observations is the temporal summation of subthreshold excitatory postsynaptic potentials from Ia fibers to the MNs. These findings and their interpretation were also verified by a realistic simulation model of afferent stimulation of a MN population. These results suggest that the proposed stimulation strategy may allow generation of considerable levels of muscle activation by motor unit recruitment that resembles the physiological conditions."],["dc.description.sponsorship","European Union Commission through the project NeuroTREMOR [287739]"],["dc.identifier.doi","10.1152/japplphysiol.00327.2014"],["dc.identifier.isi","000349245900013"],["dc.identifier.pmid","25477350"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38055"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physiological Soc"],["dc.relation.issn","1522-1601"],["dc.relation.issn","8750-7587"],["dc.title","Physiological recruitment of motor units by high-frequency electrical stimulation of afferent pathways"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]