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IEEE Transactions on Neural Systems and Rehabilitation Engineering

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https://www.readbyqxmd.com/read/28613178/biomechanical-reactions-of-exoskeleton-neurorehabilitation-robots-in-spastic-elbows-and-wrists
#1
Hyung Seok Nam, Sukgyu Koh, Yoon Jae Kim, Jaewon Beom, Woo Hyung Lee, Shi-Uk Lee, Sungwan Kim
Spasticity is an important factor in designing wearable and lightweight exoskeleton neurorehabilitation robots. The proposed study evaluates biomechanical reactions of an exoskeleton robot to spasticity and establishes relevant guidelines for robot design. A two-axis exoskeleton robot is used to evaluate a group of 20 patients post-stroke with spastic elbow and/or wrist joints. All subjects are given isokinetic movements at various angular velocities within the capable range of motion for both joints. The resistance torque and corresponding angular position at each joint are recorded continuously...
June 9, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28600256/a-graphical-model-for-online-auditory-scene-modulation-using-eeg-evidence-for-attention
#2
Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akcakaya, Deniz Erdogmus
Recent findings indicate that brain interfaces have the potential to enable attention-guided auditory scene analysis and manipulation in applications such as hearing aids and augmented/ virtual environments. Specifically, noninvasively acquired electroencephalography (EEG) signals have been demonstrated to carry some evidence regarding which of multiple synchronous speech waveforms the subject attends to. In this paper we demonstrate that: (1) using data- and model-driven cross-correlation features yield competitive binary auditory attention classification results with at most 20 seconds of EEG from 16 channels or even a single well-positioned channel; (2) a model calibrated using equal-energy speech waveforms competing for attention could perform well on estimating attention in closed-loop unbalancedenergy speech waveform situations, where the speech amplitudes are modulated by the estimated attention posterior probability distribution; (3) such a model would perform even better if it is corrected (linearly, in this instance) based on EEG evidence dependency on speech weights in the mixture; (4) calibrating a model based on population EEG could result in acceptable performance for new individuals/users; therefore EEG-based auditory attention classifiers may generalize across individuals, leading to reduced or eliminated calibration time and effort...
June 6, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28600255/effects-of-electrical-and-optogenetic-deep-brain-stimulation-on-synchronized-oscillatory-activity-in-parkinsonian-basal-ganglia
#3
Shivakeshavan Ratnadurai-Giridharan, Chung Cheung, Leonid Rubchinsky
Conventional deep brain stimulation (DBS) of basal ganglia uses high-frequency regular electrical pulses to treat Parkinsonian motor symptoms and has a series of limitations. Relatively new and not yet clinically tested optogenetic stimulation is an effective experimental stimulation technique to affect pathological network dynamics. We compared the effects of electrical and optogenetic stimulation of the basal ganglia on the pathological parkinsonian rhythmic neural activity. We studied the network response to electrical stimulation and excitatory and inhibitory optogenetic stimulations...
June 6, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28600254/short-and-long-term-learning-of-feedforward-control-of-a-myoelectric-prosthesis-with-sensory-feedback-by-amputees
#4
Matija Strbac, Milica Isakovic, Minja Belic, Igor Popovic, Igor Simanic, Dario Farina, Thierry Keller, Strahinja Dosen
Human motor control relies on a combination of feedback and feedforward strategies. The aim of this study was to longitudinally investigate artificial somatosensory feedback and feedforward control in the context of grasping with myoelectric prosthesis. Nine amputee subjects performed routine grasping trials, with the aim to produce four levels of force during four blocks of 60 trials across five days. The electrotactile force feedback was provided in the second and third block using multipad electrode and spatial coding...
June 6, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28600253/robust-granger-analysis-in-lp-norm-space-for-directed-eeg-network-analysis
#5
PeiYang Li, Xiaoye Huang, Fali Li, Xurui Wang, Weiwei Zhou, Huan Liu, Teng Ma, Tao Zhang, Daqing Guo, Dezhong Yao, Peng Xu
Granger analysis (GA) is widely used to construct directed brain networks based on various physiological recordings, such as functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), etc. However, in real applications, EEGs are inevitably contaminated by unexpected artifacts that may distort the networks because of the L2 norm structure utilized in GAs when estimating directed links. Compared with the L2 norm, the Lp (p ≤ 1) norm can compress outlier effects. In this study, an extended GA is constructed by applying the Lp (p ≤ 1) norm strategy to estimate robust causalities under outlier conditions, and a feasible iteration procedure is utilized to solve the new GA model...
June 5, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28574362/low-cost-robotic-assessment-of-visuo-motor-deficits-in-alzheimer-s-disease
#6
Eleonora Bartoli, Francesca Caso, Giuseppe Magnani, Gabriel Baud-Bovy
A low-cost robotic interface was used to assess the visuo-motor performance of patients with Alzheimer's disease (AD). Twenty AD patients and twenty age-matched controls participated in the study. The battery of tests included simple reaction times, position tracking and stabilization tasks performed with both hands. The regularity, velocity, visual and haptic feedback were manipulated to vary movement complexity. Reaction times and movement tracking error were analyzed. Results show a marked group effect on a subset of conditions, in particular when the patients could not rely on the visual feedback of hand movement...
May 26, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28574361/electrical-impedance-myography-for-evaluating-paretic-muscle-changes-after-stroke
#7
Xiaoyan Li, Le Li, Henry Shin, Sheng Li, Ping Zhou
Electrical impedance myography (EIM) was used to assess the paretic muscle intrinsic electrical properties post stroke. Twenty-seven stroke survivors with chronic hemiparesis participated in the study. Muscle impedance was measured by applying high-frequency, low-intensity alternating current to subjects' biceps brachii muscles. Major EIM parameters including resistance (R), reactance (X), phase angle (θ), and electrical anisotropy ratios (AR) of the three parameters were examined at 50 kHz. Statistical analysis demonstrated significant reduction of reactance, phase angle, AR of resistance and AR of reactance in the paretic muscle compared with the contralateral side (Paretic X: 6...
May 26, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541902/complex-neuromuscular-changes-post-stroke-revealed-by-clustering-index-analysis-of-surface-electromyogram
#8
Xu Zhang, Zhongqing Wei, Xiaoting Ren, Xiaoping Gao, Xiang Chen, Ping Zhou
The objective of this study was to characterize complex neuromuscular changes induced by a hemisphere stroke through a novel clustering index (CI) analysis of surface electromyogram (EMG). The CI analysis was performed using surface EMG signals collected bilaterally from the thenar muscles of 17 subjects with stroke and 12 age-matched healthy controls during their performance of varying levels of isometric muscle contractions. Compared with the neurologically intact or contralateral muscles, mixed CI patterns were observed in the paretic muscles...
May 24, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541901/changes-of-shoulder-elbow-and-wrist-stiffness-matrix-post-stroke
#9
Li-Qun Zhang, Jongsang Son, Hyung-Soon Park, Sang Hoon Kang, Yunju Lee, Yupeng Ren
Stroke affects multiple joints in the arm with stereotypical patterns of arm deformity involving the shoulder, elbow, wrist and hand and with disrupted coordination of multiple joints in active movements. However, there is a lack of systematic methods to evaluate multi-joints and multi-degree of freedoms (DOF) neuromechanical changes, especially for complex systems with three or more joints/DOFs involved. This study used a novel systematic method to characterize dynamics and control of the shoulder, elbow and wrist of the human arm individually and simultaneously, including the couplings across the multiple joints during controlled movements...
May 23, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541214/investigating-synchronous-oscillation-and-deep-brain-stimulation-treatment-in-a-model-of-cortico-basal-ganglia-network
#10
Meili Lu, Xile Wei, Kenneth A Loparo
Altered firing properties and increased pathological oscillations in the basal ganglia have been proven to be hallmarks of Parkinson's disease. Increasing evidence suggests that abnormal synchronous oscillations and suppression in the cortex may also play a critical role in the pathogenic process and treatment of Parkinson's disease. In our study, a new closed-loop network including the cortex and basal ganglia using the Izhikevich models is proposed to investigate the synchrony and pathological oscillations in motor circuits and their modulation by deep brain stimulation (DBS)...
May 23, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541213/error-free-text-typing-performance-of-an-inductive-intra-oral-tongue-computer-interface-for-severely-disabled-individuals
#11
Lotte Andreasen Struijk, Bo Bentsen, Michael Gaihede, Eugen Lontis
For severely paralyzed individuals, alternative computer interfaces are becoming increasingly essential for everyday life as social and vocational activities are facilitated by information technology and as the environment becomes more automatic and remotely controllable. Tongue computer interfaces have proven to be desirable by the users partly due to their high degree of aesthetic acceptability, but so far the mature systems have shown a relatively low error-free text typing efficiency. This study evaluated the intra-oral inductive tongue computer interface (ITCI) in its intended use: Error-free text typing in a generally available text editing system, Word©...
May 19, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541212/improvement-in-offaxis-neuromuscular-control-under-slippery-conditions-following-6-week-pivoting-neuromuscular-training
#12
Song Joo Lee, Yupeng Ren, Joel Press, Jungwha Lee, Li-Qun Zhang
Knee injuries are usually associated with offaxis loadings in the transverse and frontal planes. Thus, improvement of lower limb offaxis neuromuscular control is important in knee injury prevention and post-injury rehabilitation. The goal of this study was to investigate the effects of 6-week pivoting offaxis intensity adjustable neuromuscular control training (POINT) using a custom-made offaxis elliptical trainer on lower limb offaxis neuromuscular control performance in trained and untrained functional tasks under slippery conditions...
May 18, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541211/cortical-brain-computer-interface-for-closed-loop-deep-brain-stimulation
#13
Jeffrey Herron, Margaret Thompson, Tim Brown, Howard Chizeck, Jeffrey Ojemann, Andrew Ko
Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions-most often affecting the patient's dominant upper extremity-that occur during volitional movement and make it difficult for the patient to perform everyday tasks. Medication may also become ineffective as the disorder progresses. For many patients, deep brain stimulation (DBS) of the thalamus is an effective means of treating this condition when medication fails. In current use, however, clinicians set the patient's stimulator to apply stimulation at all times-whether it is needed or not...
May 18, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28541210/walking-gait-step-length-asymmetry-induced-by-handheld-device
#14
Mahdi Abid, Valerie Renaudin, Yannick Aoustin, Eric Le Carpentier, Thomas Robert
The modeling and feature extraction of human gait motion are crucial in biomechanics studies, human localization and robotics applications. Recent studies in pedestrian navigation aim at extracting gait features based on the data of low-cost sensors embedded in handheld devices such as smartphones. The general assumption in Pedestrian Dead Reckoning (PDR) strategy for navigation application is that the presence of a device in hand does not impact the gait symmetry and that all steps are identical. This hypothesis, which is used to estimate the traveled distance, is investigated in this paper with an experimental study...
May 18, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28504942/interaction-of-perceived-frequency-and-intensity-in-fingertip-electrotactile-stimulation-dissimilarity-ratings-and-multidimensional-scaling
#15
Kurt A Kaczmarek, Mitchell E Tyler, Uchechukwu O Okpara, Steven J Haase
Sensations elicited by electrical stimulation of touch are multidimensional, varying in perceived intensity and quality in response to changes in stimulus current or waveform timing. This study manipulated both current and frequency while volunteer participants estimated the dissimilarity of all nonidentical pairs of 16 stimulus conditions. Multidimensional scaling analysis revealed that a model having two perceptual dimensions was adequate in representing the electrotactile (electrocutaneous) sensations. The two dimensions were identified as perceptual frequency and intensity, and were strongly correlated with the two stimulus variables, frequency and current, although not in a 1:1 correspondence...
May 12, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28504943/towards-multimodal-human-robot-interaction-to-enhance-active-participation-of-users-in-gait-rehabilitation
#16
Kai Gui, Honghai Liu, Dingguo Zhang
Robotic exoskeletons for physical rehabilitation have been utilized for retraining patients suffering from paraplegia and enhancing motor recovery in recent years. However, users are not voluntarily involved in most systems. This work aims to develop a locomotion trainer with multiple gait patterns, which can be controlled by the active motion intention of users. A multimodal human-robot interaction (HRI) system is established to enhance subject's active participation during gait rehabilitation, which includes cognitive human-robot interaction (cHRI) and physical human-robot interaction (pHRI)...
May 11, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28500007/a-wearable-multi-site-system-for-nmes-based-hand-function-restoration
#17
Andrea Crema, Nebojsa Malesevic, Ivan Furfaro, Flavio Raschella, Alessandra Pedrocchi, Silvestro Micera
Reaching and grasping impairments significantly affect the quality of life for people who have experienced a stroke or spinal cord injury (SCI). The long-term well-being of patients varies greatly according to the restorable residual capabilities. Electrical stimulation could be a promising solution to restore motor functions in these conditions, but its use is not clinically widespread.
May 10, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28500006/skill-learning-and-skill-transfer-mediated-by-cooperative-haptic-interaction
#18
Edwin Johnatan Avila Mireles, Jacopo Zenzeri, Velentina Squeri, Pietro Morasso, Dalia De Santis
It is known that physical coupling between two subjects may be advantageous in joint tasks. However, little is known about how two people mutually exchange information to exploit the coupling. Therefore we adopted a reversed, novel perspective to the standard one that focuses on the ability of physically coupled subjects to adapt to cooperative contexts that require negotiating a common plan: we investigated how training in pairs on a novel task affects the development of motor skills of each of the interacting partners...
May 8, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28489541/the-effect-of-prosthesis-use-on-hand-mental-rotation-after-unilateral-upper-limb-amputation
#19
Xiaoli Guo, Zixuan Lin, Yuanyuan Lyu, Robin Bekrater-Bodmann, Herta Flor, Shanbao Tong
Amputation of a limb induces changes in the so-called body schema, which might be influenced by the use of prosthetic devices. Changes in the body representation associated with prosthesis use could be investigated using a hand mental rotation task. However, direct neurophysiologic evidence for the effect of prosthesis use on hand mental rotation is still lacking. In this study, we recruited two groups of unilateral upper-limb amputees, i.e., amputees using a prosthesis or with a history of prosthesis use (Pro group) and amputees without a prosthesis (non-Pro group), as well as a sample of matched healthy controls...
May 8, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28489540/nonlinear-frequency-domain-analysis-of-the-transformation-of-cortical-inputs-by-a-motoneuron-pool-muscle-complex
#20
Renato Watanabe, Andre Kohn
Corticomotor coherence in the beta and/or gamma bands has been described in different motor tasks but the role of descending brain oscillations on force control has been elusive. Large-scale computational models of a motoneuron pool and the muscle it innervates have been used as tools to advance the knowledge of how neural elements may influence force control. Here we present a frequency domain analysis of a NARX model fitted to a large-scale neuromuscular model by means of generalized frequency response functions (GFRF)...
May 4, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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