Muceli, Silvia

[["dc.bibliographiccitation.artnumber","eaau2956"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Science Advances"],["dc.bibliographiccitation.lastpage","eaau2956"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Bergmeister, Konstantin D."],["dc.contributor.author","Aman, Martin"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Vujaklija, Ivan"],["dc.contributor.author","Manzano-Szalai, Krisztina"],["dc.contributor.author","Unger, Ewald"],["dc.contributor.author","Byrne, Ruth A."],["dc.contributor.author","Scheinecker, Clemens"],["dc.contributor.author","Riedl, Otto"],["dc.contributor.author","Salminger, Stefan"],["dc.contributor.author","Frommlet, Florian"],["dc.contributor.author","Borschel, Gregory H."],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Aszmann, Oskar C."],["dc.date.accessioned","2019-07-09T11:50:25Z"],["dc.date.available","2019-07-09T11:50:25Z"],["dc.date.issued","2019"],["dc.description.abstract","Selective nerve transfers surgically rewire motor neurons and are used in extremity reconstruction to restore muscle function or to facilitate intuitive prosthetic control. We investigated the neurophysiological effects of rewiring motor axons originating from spinal motor neuron pools into target muscles with lower innervation ratio in a rat model. Following reinnervation, the target muscle's force regenerated almost completely, with the motor unit population increasing to 116% in functional and 172% in histological assessments with subsequently smaller muscle units. Muscle fiber type populations transformed into the donor nerve's original muscles. We thus demonstrate that axons of alternative spinal origin can hyper-reinnervate target muscles without loss of muscle force regeneration, but with a donor-specific shift in muscle fiber type. These results explain the excellent clinical outcomes following nerve transfers in neuromuscular reconstruction. They indicate that reinnervated muscles can provide an accurate bioscreen to display neural information of lost body parts for high-fidelity prosthetic control."],["dc.identifier.doi","10.1126/sciadv.aau2956"],["dc.identifier.pmid","30613770"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15938"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59771"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/267888/EU//DEMOVE"],["dc.relation.issn","2375-2548"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0"],["dc.subject.ddc","610"],["dc.title","Peripheral nerve transfers change target muscle structure and function"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["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","13300"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific reports"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Vieira, Taian Martins"],["dc.contributor.author","Botter, Alberto"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2019-07-09T11:44:31Z"],["dc.date.available","2019-07-09T11:44:31Z"],["dc.date.issued","2017-10-16"],["dc.description.abstract","The relatively large pick-up volume of surface electrodes has for long motivated the concern that muscles other than that of interest may contribute to surface electromyograms (EMGs). Recent findings suggest however the pick-up volume of surface electrodes may be smaller than previously appreciated, possibly leading to the detection of surface EMGs insensitive to muscle activity. Here we combined surface and intramuscular recordings to investigate how comparably action potentials from gastrocnemius and soleus are represented in surface EMGs detected with different inter-electrode distances. We computed the firing instants of motor units identified from intramuscular EMGs detected from gastrocnemius and soleus while five participants stood upright. We used these instants to trigger and average surface EMGs detected from multiple skin regions along gastrocnemius. Results from 66 motor units (whereof 31 from gastrocnemius) revealed the surface-recorded amplitude of soleus action potentials was 6% of that of gastrocnemius and did not decrease for inter-electrode distances smaller than 4 cm. Gastrocnemius action potentials were more likely detected for greater inter-electrode distances and their amplitude increased steeply up to 5 cm inter-electrode distance. These results suggest that reducing inter-electrode distance excessively may result in the detection of surface EMGs insensitive to gastrocnemius activity without substantial attenuation of soleus crosstalk."],["dc.identifier.doi","10.1038/s41598-017-13369-1"],["dc.identifier.pmid","29038435"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14811"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59031"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Specificity of surface EMG recordings for gastrocnemius during upright standing."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["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.artnumber","1750025"],["dc.bibliographiccitation.firstpage","1750025"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","International Journal of Neural Systems"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Karimimehr, Saeed"],["dc.contributor.author","Marateb, Hamid Reza"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Mansourian, Marjan"],["dc.contributor.author","Mañanas, Miguel Angel"],["dc.contributor.author","Farina, Dario"],["dc.date.accessioned","2020-12-10T18:37:34Z"],["dc.date.available","2020-12-10T18:37:34Z"],["dc.date.issued","2017"],["dc.description.abstract","The neural command from motor neurons to muscles - sometimes referred to as the neural drive to muscle - can be identified by decomposition of electromyographic (EMG) signals. This approach can be used for inferring the voluntary commands in neural interfaces in patients with limb amputations. This paper proposes for the first time an innovative method for fully automatic and real-time intramuscular EMG (iEMG) decomposition. The method is based on online single-pass density-based clustering and adaptive classification of bivariate features, using the concept of potential measure. No attempt was made to resolve superimposed motor unit action potentials. The proposed algorithm was validated on sets of simulated and experimental iEMG signals. Signals were recorded from the biceps femoris long-head, vastus medialis and lateralis and tibialis anterior muscles during low-to-moderate isometric constant-force and linearly-varying force contractions. The average number of missed, duplicated and erroneous clusters for the examined signals was 0.5 +/- 0.8, 1.2 +/- 1.0, and 1.0 +/- 0.8, respectively. The average decomposition accuracy (defined similar to signal detection theory but without using True Negatives in the denominator) and coefficient of determination (variance accounted for) for the cumulative discharge rate estimation were 70 +/- 9%, and 94 +/- 5%, respectively. The time cost for processing each 200ms iEMG interval was 43 +/- 16 (21 97) ms. However, computational time generally increases over time as a function of frames/signal epochs. Meanwhile, the incremental accuracy defined as the accuracy of real-time analysis of each signal epoch, was 74 +/- 18% for epochs recorded after initial one second. The proposed algorithm is thus a promising new tool for neural decoding in the next-generation of prosthetic control."],["dc.identifier.doi","10.1142/S0129065717500253"],["dc.identifier.eissn","1793-6462"],["dc.identifier.isi","000404348800004"],["dc.identifier.issn","0129-0657"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14743"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77015"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","World Scientific Publ Co Pte Ltd"],["dc.relation.issn","1793-6462"],["dc.relation.issn","0129-0657"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A Real-Time Method for Decoding the Neural Drive to Muscles Using Single-Channel Intra-Muscular EMG Recordings"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["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.artnumber","421"],["dc.bibliographiccitation.journal","Frontiers in Neuroscience"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Bergmeister, Konstantin D."],["dc.contributor.author","Vujaklija, Ivan"],["dc.contributor.author","Muceli, Silvia"],["dc.contributor.author","Sturma, Agnes"],["dc.contributor.author","Hruby, Laura A."],["dc.contributor.author","Prahm, Cosima"],["dc.contributor.author","Riedl, Otto"],["dc.contributor.author","Salminger, Stefan"],["dc.contributor.author","Manzano-Szalai, Krisztina"],["dc.contributor.author","Aman, Martin"],["dc.contributor.author","Russold, Michael-Friedrich"],["dc.contributor.author","Hofer, Christian"],["dc.contributor.author","Principe, Jose"],["dc.contributor.author","Farina, Dario"],["dc.contributor.author","Aszmann, Oskar C."],["dc.date.accessioned","2019-07-09T11:44:48Z"],["dc.date.available","2019-07-09T11:44:48Z"],["dc.date.issued","2017"],["dc.description.abstract","Modern robotic hands/upper limbs may replace multiple degrees of freedom of extremity function. However, their intuitive use requires a high number of control signals, which current man-machine interfaces do not provide. Here, we discuss a broadband control interface that combines targeted muscle reinnervation, implantable multichannel electromyographic sensors, and advanced decoding to address the increasing capabilities of modern robotic limbs. With targeted muscle reinnervation, nerves that have lost their targets due to an amputation are surgically transferred to residual stump muscles to increase the number of intuitive prosthetic control signals. This surgery re-establishes a nerve-muscle connection that is used for sensing nerve activity with myoelectric interfaces. Moreover, the nerve transfer determines neurophysiological effects, such as muscular hyper-reinnervation and cortical reafferentation that can be exploited by the myoelectric interface. Modern implantable multichannel EMG sensors provide signals from which it is possible to disentangle the behavior of single motor neurons. Recent studies have shown that the neural drive to muscles can be decoded from these signals and thereby the user’s intention can be reliably estimated. By combining these concepts in chronic implants and embedded electronics, we believe that it is in principle possible to establish a broadband man-machine interface, with specific applications in prosthesis control. This perspective illustrates this concept, based on combining advanced surgical techniques with recording hardware and processing algorithms. Here we describe the scientific evidence for this concept, current state of investigations, challenges, and alternative approaches to improve current prosthetic interfaces."],["dc.identifier.doi","10.3389/fnins.2017.00421"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14912"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59101"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/267888/EU//DEMOVE"],["dc.relation.issn","1662-453X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Broadband Prosthetic Interfaces: Combining Nerve Transfers and Implantable Multichannel EMG Technology to Decode Spinal Motor Neuron Activity"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]