45 results match your criteria: "Institute of Neurorehabilitation[Affiliation]"

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.

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Pathological tremors are involuntary oscillatory movements which cannot be fully attenuated using conventional treatments. For this reason, several studies have investigated the use of neuromuscular electrical stimulation for tremor suppression. In a recent study, however, we found that electrical stimulation below the motor threshold also suppressed tremor, indicating involvement of afferent pathways.

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GLIMPSE: Google Glass interface for sensory feedback in myoelectric hand prostheses.

J Neural Eng

June 2017

Institute of Neurorehabilitation Systems, Clinics for Trauma, Orthopedic and Plastic Surgery, University Medical Center Göttingen, Georg-August University, 37075 Göttingen, Germany.

Objective: Providing sensory feedback to the user of the prosthesis is an important challenge. The common approach is to use tactile stimulation, which is easy to implement but requires training and has limited information bandwidth. In this study, we propose an alternative approach based on augmented reality.

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Tracking motor units longitudinally across experimental sessions with high-density surface electromyography.

J Physiol

March 2017

Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Göttingen (BFNT), Bernstein Centre for Computational Neuroscience (BCCN), University Medical Center Göttingen, Georg-August University, Göttingen, Germany.

Key Points: Classic motor unit (MU) recording and analysis methods do not allow the same MUs to be tracked across different experimental sessions, and therefore, there is limited experimental evidence on the adjustments in MU properties following training or during the progression of neuromuscular disorders. We propose a new processing method to track the same MUs across experimental sessions (separated by weeks) by using high-density surface electromyography. The application of the proposed method in two experiments showed that individual MUs can be identified reliably in measurements separated by weeks and that changes in properties of the tracked MUs across experimental sessions can be identified with high sensitivity.

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Aim of this study was to investigate the feasibility of electrotactile feedback in closed loop training of force control during the routine grasping task. The feedback was provided using an array electrode and a simple six-level spatial coding, and the experiment was conducted in three amputee subjects. The psychometric tests confirmed that the subjects could perceive and interpret the electrotactile feedback with a high success rate.

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Characterization of In-Body to On-Body Wireless Radio Frequency Link for Upper Limb Prostheses.

PLoS One

June 2017

Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University, 37075, Goettingen, Germany.

Wireless implanted devices can be used to interface patients with disabilities with the aim of restoring impaired motor functions. Implanted devices that record and transmit electromyographic (EMG) signals have been applied for the control of active prostheses. This simulation study investigates the propagation losses and the absorption rate of a wireless radio frequency link for in-to-on body communication in the medical implant communication service (MICS) frequency band to control myoelectric upper limb prostheses.

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Elective amputation and bionic substitution restore functional hand use after critical soft tissue injuries.

Sci Rep

October 2016

Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Göttingen, University Medical Center Göttingen, Georg-August University, Von-Siebold-Str. 6, 37075 Göttingen, Germany.

Critical soft tissue injuries may lead to a non-functional and insensate limb. In these cases standard reconstructive techniques will not suffice to provide a useful outcome, and solutions outside the biological arena must be considered and offered to these patients. We propose a concept which, after all reconstructive options have been exhausted, involves an elective amputation along with a bionic substitution, implementing an actuated prosthetic hand via a structured tech-neuro-rehabilitation program.

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Are regions of the lumbar multifidus differentially activated during walking at varied speed and inclination?

J Electromyogr Kinesiol

October 2016

School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK. Electronic address:

Purpose: Lumbar multifidus is a complex muscle with multi-fascicular morphology shown to be differentially controlled in healthy individuals during sagittal-plane motion. The normal behaviour of multifidus muscle regions during walking has only received modest attention in the literature. This study aimed to determine activation patterns for deep and superficial multifidus in young adults during walking at different speeds and inclination.

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New developments in prosthetic arm systems.

Orthop Res Rev

July 2016

Christian Doppler Laboratory for Restoration of Extremity Function, Division of Plastic and Reconstructive Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria,

Absence of an upper limb leads to severe impairments in everyday life, which can further influence the social and mental state. For these reasons, early developments in cosmetic and body-driven prostheses date some centuries ago, and they have been evolving ever since. Following the end of the Second World War, rapid developments in technology resulted in powered myoelectric hand prosthetics.

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The human motor neuron pools receive a dominant slow-varying common synaptic input.

J Physiol

October 2016

Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Göttingen, Bernstein Centre for Computational Neuroscience, University Medical Centre Göttingen, Georg-August University, Göttingen, Germany.

Key Points: Motor neurons in a pool receive both common and independent synaptic inputs, although the proportion and role of their common synaptic input is debated. Classic correlation techniques between motor unit spike trains do not measure the absolute proportion of common input and have limitations as a result of the non-linearity of motor neurons. We propose a method that for the first time allows an accurate quantification of the absolute proportion of low frequency common synaptic input (<5 Hz) to motor neurons in humans.

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A Donders' Like Law for Arm Movements: The Signal not the Noise.

Front Hum Neurosci

April 2016

Institute of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen, Germany.

Experiments were done to determine whether the starting position of the arm influences its final configuration (posture) when pointing to, or grasping, targets located within the common workspace of the arm. Subjects were asked to point to, or grasp, each of six targets from five, or seven, widely spaced starting positions. We found that the variability (standard deviation) of the arm's configuration, measured as the angle of inclination of the plane delimited by the arm and forearm, averaged about 4° for comfortable speed pointing movements and was only slightly higher for fast pointing movements.

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Despite several decades of research, electrically powered hand and arm prostheses are still controlled with very simple algorithms that process the surface electromyogram (EMG) of remnant muscles to achieve control of one prosthetic function at a time. More advanced machine learning methods have shown promising results under laboratory conditions. However, limited robustness has largely prevented the transfer of these laboratory advances to clinical applications.

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Motorized treadmills have been widely used in locomotion studies, although a debate remains concerning the extrapolation of results obtained from treadmill experiments to overground locomotion. Slight differences between treadmill (TRD) and overground running (OVG) kinematics and muscle activity have previously been reported. However, little is known about differences in the modular control of muscle activation in these two conditions.

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Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation.

J Neural Eng

April 2016

Institute of Neurorehabilitation Systems, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University of Göttingen, Göttingen, Germany.

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.

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Movements are generated by the coordinated activation of motor units. Recent technological advances have made it possible to identify the concurrent activity of several tens of motor units, in contrast with much smaller samples available in classic studies. We discuss how these advances in technology have enabled the development of a population perspective of how the central nervous system controls motor unit activity and thereby the forces exerted by muscles.

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Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems.

J Neurol

April 2016

Department of Epidemiology, Lazio Regional Health Service, Via Cristoforo Colombo 112, 00142, Rome, Italy.

Compared with other areas of the country, very limited data are available on multiple sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio region and its geographical distribution using regional health information systems (HIS). To identify MS cases we used data from drug prescription, hospital discharge and ticket exemption registries.

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Novel insights into the interplay between ventral neck muscles in individuals with whiplash-associated disorders.

Sci Rep

October 2015

Department of Medical and Health Sciences, Division of Physiotherapy, Faculty of Health Sciences, Linköping University, Linköping, Sweden.

Chronic whiplash-associated disorder (WAD) is common after whiplash injury, with considerable personal, social, and economic burden. Despite decades of research, factors responsible for continuing pain and disability are largely unknown, and diagnostic tools are lacking. Here, we report a novel model of mechanical ventral neck muscle function recorded from non-invasive, real-time, ultrasound measurements.

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A high proportion of patients who have suffered a stroke also suffer from aphasia. Approximately half of those affected will remain in this state despite intensive language therapy. Non-invasive brain stimulation allows us to directly and focally stimulate areas of the brain.

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New advances in the rehabilitation of CNS diseases applying rTMS.

Expert Rev Neurother

February 2007

Department of Neurorehabilitation, Institute of Neurorehabilitation, Sopron, Hungary.

Transcranial magnetic stimulation (TMS) can directly stimulate the CNS, modifying the brain's plasticity to enhance the behavior of the paretic extremities. Studies with low-frequency repetitive TMS (rTMS) on the intact hemisphere and those with high frequencies on the affected hemisphere could increase the speed of movement in the hand affected by CNS injury. Stimulation of the motor pathway may contribute to faster improvement in patients with spinal cord injury.

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Focal electromagnetic slow-wave activity is generated in the vicinity of brain lesions. The present study confirmed this for the EEG delta band (1-4 Hz): Activity in the waking state was pronounced over the hemisphere of the lesion in 11 stroke patients suffering from aphasia, but not in 10 healthy controls. Changes of abnormal slow waves patterns were tracked from 1-3 months to 2 years poststroke by recording the EEG five times at 4-month intervals.

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