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IEEE Transactions on Neural Systems and Rehabilitation Engineering

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https://www.readbyqxmd.com/read/27913354/a-novel-elastic-force-field-to-influence-mediolateral-foot-placement-during-walking
#1
Elizabeth Nyberg, Jordan Broadway, Christian Finetto, Jesse Dean
Bipedal gait can be stabilized through mechanically-appropriate mediolateral foot placement, although this strategy is disrupted in a subset of neurologically injured individuals with balance deficits. The goal of the present work was to develop a device to influence mediolateral foot placement during treadmill walking. We created a novel force-field using a combination of passive elasticity and active control; wires in series with extension springs run parallel to the treadmill belts and can be rapidly repositioned to exert mediolateral forces on the legs of users...
December 1, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27913353/embroidered-electromyography-a-systematic-design-guide
#2
Ali Shafti, Roger Ribas Manero, Amanda Borg, Kaspar Althoefer, Matthew Howard
Muscle activity monitoring or Electromyography (EMG) is a useful tool. However, EMG is typically invasive, expensive and difficult to use for untrained users. A possible solution is textile-based surface EMG (sEMG) integrated into clothing as a wearable device. This is, however, challenging due to (i) uncertainties in the electrical properties of conductive threads used for electrodes, (ii) imprecise fabrication technologies (e.g., embroidery, sewing), and (iii) lack of standardization in design variable selection...
December 1, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27898383/influence-of-anatomical-detail-and-tissue-conductivity-variations-in-simulations-of-multi-contact-nerve-cuff-recordings
#3
Purbasha Garai, Ryan G L Koh, Martin Schuettler, Thomas Stieglitz, Jose Zariffa
Accurate simulations of peripheral nerve recordings are needed to develop improved neuroprostheses. Previous models of peripheral nerves contained simplifications whose effects have not been investigated. We created a novel detailed finite element (FE) model of a peripheral nerve, and used it to carry out a sensitivity analysis of several model parameters. To construct the model, in vivo recordings were obtained in a rat sciatic nerve using an 8-channel nerve cuff electrode, after which the nerve was imaged using magnetic resonance imaging (MRI)...
November 24, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27898382/towards-real-time-estimation-of-muscle-fiber-conduction-velocity-using-delay-locked-loop
#4
Lin Xu, Chiara Rabotti, Massimo Mischi
Decrease in muscle-fiber conduction velocity (MFCV) during sustained contraction has been widely accepted as myoelectric manifestation of muscle fatigue. Several methods have been proposed in the literature for MFCV estimation by analysing surface electromyography (EMG), e.g., cross-correlation (CC) function and maximum likelihood (ML). However, for all the available methods, windowing of the EMG signal and computationally demanding calculations are required, limiting the possibility to continuously monitor muscle fatigue in real time...
November 24, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27893396/enhanced-control-of-cortical-pyramidal-neurons-with-micro-magnetic-stimulation
#5
Seung Woo Lee, Shelley Fried
Magnetic stimulation is less sensitive to the inflammatory reactions that plague conventional electrode-based cortical implants and therefore may be useful as a next-generation (implanted) cortical prosthetic. The fields arising from micro-coils are quite small however and thus, their ability to modulate cortical activity must first be established. Here, we show that layer V pyramidal neurons (PNs) can be strongly activated by micro-coil stimulation and further, the asymmetric fields arising from such coils do not simultaneously activate horizontally -oriented axon fibers, thus confining activation to a focal region around the coil...
November 22, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27875227/a-stretchable-microneedle-electrode-array-for-stimulating-and-measuring-intramuscular-electromyographic-activity
#6
Gareth S Guvanasen, Liang Guo, Ricardo J Aguilar, Ashton L Cheek, Chancellor S Shafor, Swaminathan Rajaraman, T Richard Nichols, Stephen P DeWeerth
We have developed a stretchable microneedle electrode array (sMEA) to stimulate and measure the electrical activity of muscle across multiple sites. The technology provides the signal fidelity and spatial resolution of intramuscular electrodes across a large area of tissue. Our sMEA is composed of a polydimethylsiloxane (PDMS) substrate, conductive-PDMS traces, and stainless-steel penetrating electrodes. The traces and microneedles maintain a resistance of less than 10 kΩ when stretched up to a ~63% tensile strain, which allows for the full range of physiological motion of feline muscle...
November 16, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27849545/open-access-dataset-for-eeg-nirs-single-trial-classification
#7
Jaeyoung Shin, Alexander von Luhmann, Benjamin Blankertz, Do-Won Kim, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Muller
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we con-ducted two BCI experiments (left vs. right hand motor imagery; mental arithmetic vs. resting state). The dataset was validated using baseline signal analysis methods, with which classification performance was evaluated for each modality and a combination of both modalities. As already shown in previous literature, the capability of discriminating different mental states can be en-hanced by using a hybrid approach, when comparing to single modality analyses...
November 11, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27849544/imagined-hand-clenching-force-and-speed-modulate-brain-activity-and-are-classified-by-nirs-combined-with-eeg
#8
Yunfa Fu, Xin Xiong, Changhao Jiang, Baolei Xu, Yongcheng Li, Hongyi Li
Simultaneous acquisition of brain activity signals from the sensorimotor area using NIRS combined with EEG, imagined hand clenching force and speed modulation of brain activity, as well as 6-class classification of these imagined motor parameters by NIRS-EEG were explored. Near infrared probes were aligned with C3 and C4, and EEG electrodes were placed midway between the NIRS probes. NIRS and EEG signals were acquired from 6 healthy subjects during 6 imagined hand clenching force and speed tasks involving the right hand...
November 10, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27849543/a-benchmark-dataset-for-ssvep-based-brain-computer-interfaces
#9
Yijun Wang, Xiaogang Chen, Xiaorong Gao, Shangkai Gao
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset acquired with a 40-target brain-computer interface (BCI) speller. The dataset consists of 64-channel Electroencephalogram (EEG) data from 35 healthy subjects (8 experienced and 27 naïve) while they performed a cue-guided target selecting task. The virtual keyboard of the speller was composed of 40 visual flickers, which were coded using a joint frequency and phase modulation (JFPM) approach. The stimulation frequencies ranged from 8Hz to 15...
November 10, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845668/quantitative-eeg-evaluation-during-robot-assisted-foot-movement
#10
Emanuela Formaggio, Stefano Masiero, Anna Bosco, Federica Izzi, Francesco Piccione, Alessandra Del Felice
Passive and imagined limb movements induce changes in cerebral oscillatory activity. Central modulatory effects play a role in plastic changes, and are of uttermost importance in rehabilitation. This has extensively been studied for upper limb, but less is known for lower limb. The aim of this study is to investigate the topographical distribution of event-related desynchronization/synchronization (ERD/ERS) and task-related coherence during a robot-assisted and a motor imagery task of lower limb in healthy subjects to inform rehabilitation paradigms...
November 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845667/walking-with-a-backpack-using-load-distribution-and-dynamic-load-compensation-reduces-metabolic-cost-and-adaptations-to-loads
#11
Joon-Hyuk Park, Paul Stegall, Haohan Zhang, Sunil Agrawal
In this study, we showed a way of reducing the metabolic cost of walking with a backpack using load distribution and dynamic load compensation, provided by a wearable upper body device. This device distributes the backpack load between the shoulders and the pelvis, senses the vertical motion of the pelvis, and provides gait synchronized compensatory forces to reduce the dynamic loads from a backpack. It was hypothesized that by reducing dynamic loads from a backpack during load carriage, the users gait and postural adaptation, muscular effort and metabolic cost would be reduced...
November 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845666/riemannian-approaches-in-brain-computer-interfaces-a-review
#12
Florian Yger, Maxime Berar, Fabien Lotte
Although promising from numerous applications, current Brain-Computer Interfaces (BCIs) still suffer from a number of limitations. In particular, they are sensitive to noise, outliers and the non-stationarity of ElectroEncephaloGraphic (EEG) signals, they require long calibration times and are not reliable. Thus, new approaches and tools, notably at the EEG signal processing and classification level, are necessary to address these limitations. Riemannian approaches, spearheaded by the use of covariance matrices, are such a very promising tool slowly adopted by a growing number of researchers...
November 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845665/estimation-of-finger-joint-angles-based-on-electromechanical-sensing-of-wrist-shape
#13
Junki Kawaguchi, Shunsuke Yoshimoto, Yoshihiro Kuroda, Osamu Oshiro
An approach to finger motion capture that places fewer restrictions on the usage environment and actions of the user is an important research topic in biomechanics and humancomputer interaction. We proposed a system that electrically detects finger motion from the associated deformation of the wrist and estimates the finger joint angles using multiple regression models. A wrist-mounted sensing device with 16 electrodes detects deformation of the wrist from changes in electrical contact resistance at the skin...
November 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845664/the-time-varying-nature-of-electromechanical-delay-and-muscle-control-effectiveness-in-response-to-stimulation-induced-fatigue
#14
Ryan J Downey, Manelle Merad, Eric J Gonzalez, Warren E Dixon
Neuromuscular Electrical Stimulation (NMES) and Functional Electrical Stimulation (FES) are commonly prescribed rehabilitative therapies. Closed-loop NMES holds the promise to yield more accurate limb control, which could enable new rehabilitative procedures. However, NMES/FES can rapidly fatigue muscle, which limits potential treatments and presents several control challenges. Specifically, the stimulation intensity-force relation changes as the muscle fatigues. Additionally, the delayed response between the application of stimulation and muscle force production, termed electromechanical delay (EMD), may increase with fatigue...
November 8, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27834648/epidural-stimulation-of-rat-spinal-cord-at-lumbosacral-segment-using-a-surface-electrode-a-computer-simulation-study
#15
Qi Xu, Li Kong, Hui Zhou, Jiping He
Clinical research indicates that the epidural spinal cord stimulation (ESCS) at lumbosacral segment has shown potential for promoting locomotor recovery in patients with incomplete spinal cord injury. However, the underlying neural mechanism needs to be determined by animal experiments. In order to refine experimental protocols, we used a finite element simulation to investigate the activation of nerve fibers in a rat spinal cord model. Our model is composed of a volume conductor model from L1 to S2 spinal segments and the McIntyre-Richard-Grill axon model, which is used to investigate the threshold of selected spinal fibers with different diameters at varied locations and predict the neural responses of any target fibers with bipolar electrode configuration...
November 4, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27834647/quaternion-common-spatial-patterns
#16
Shirin Enshaeifar, Clive Cheong Took, Cheolsoo Park, Danilo P Mandic
A novel quaternion-valued common spatial patterns (QCSP) algorithm is introduced to model co-channel coupling of multi-dimensional processes. To cater for the generality of quaternion-valued non-circular data, we propose a generalised QCSP (G-QCSP) which incorporates the information on power difference between the real and imaginary parts of data channels. As an application, we demonstrate how G-QCSP can be used to provide high classification rates, even at a signal-to-noise ratio (SNR) as low as -10 dB. To illustrate the usefulness of our method in EEG analysis, we employ G-QCSP to extract features for discriminating between imagery left and right hand movements...
November 3, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27834646/application-of-empirical-mode-decomposition-combined-with-notch-filtering-for-interpretation-of-surface-electromyograms-during-functional-electrical-stimulation
#17
Rakesh Pilkar, Mathew Yarossi, Arvind Ramanujam, Venkateswaran Rajagopalan, Mehmed Bugrahan Bayram, Megan Mitchell, Stephan Canton, Gail Forrest
GOAL: The goal of this paper is to demonstrate a novel approach that combines Empirical Mode Decomposition (EMD) with Notch filtering to remove the electrical stimulation (ES) artifact from surface electromyogram (EMG) data for interpretation of muscle responses during functional electrical stimulation (FES) experiments. METHODS: FES was applied to the rectus femoris (RF) muscle unilaterally of 6 able bodied (AB) and 1 individual with spinal cord injury (SCI). Each trial consisted of three repetitions of ES...
November 3, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27831887/modeling-intracochlear-magnetic-stimulation-a-finite-element-analysis
#18
Sagarika Mukesh, D T Blake, B J McKinnon, P T Bhatti
This study models induced electric fields, and their gradient, produced by pulsatile current stimulation of submillimeter inductors for cochlear implantation. Using finite-element analysis, the lower chamber of the cochlea, scala tympani, is modeled as a cylindrical structure filled with perilymph bounded by tissue, bone, and cochlear neural elements. Single inductors as well as an array of inductors are modeled. The coil strength (~100 nH) and excitation parameters (Peak current of 1 - 5 A, Voltages of 16 - 20 V) are based on a formative feasibility study conducted by our group...
November 2, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27845663/demonstration-of-2-mm-thick-microcontrolled-injectable-stimulators-based-on-rectification-of-high-frequency-current-bursts
#19
Laura Becerra Fajardo, Marieluise Schmidbauer, Antoni Ivorra
Existing implantable stimulators use powering approaches that result in stiff and bulky systems or result in systems incapable of producing the current magnitudes required for neuromuscular stimulation. This hampers their use in neuroprostheses for paralysis. We previously demonstrated an electrical stimulation method based on electronic rectification of high frequency (HF) current bursts. The implants act as rectifiers of HF current that flows through the tissues by galvanic coupling, transforming this current into low frequency current capable of performing neuromuscular stimulation...
October 31, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27831886/demonstration-of-2-mm-thick-microcontrolled-injectable-stimulators-based-on-rectification-of-high-frequency-current-bursts
#20
Laura Becerra-Fajardo, Marieluise Schmidbauer, Antoni Ivorra
Existing implantable stimulators use powering approaches that result in stiff and bulky systems or result in systems incapable of producing the current magnitudes required for neuromuscular stimulation. This hampers their use in neuroprostheses for paralysis. We previously demonstrated an electrical stimulation method based on electronic rectification of high frequency (HF) current bursts. The implants act as rectifiers of HF current that flows through the tissues by galvanic coupling, transforming this current into low frequency current capable of performing neuromuscular stimulation...
October 31, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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