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IEEE Transactions on Neural Systems and Rehabilitation Engineering

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https://www.readbyqxmd.com/read/28287979/ankle-joint-intrinsic-dynamics-is-more-complex-than-a-mass-spring-damper-model
#1
Ehsan Sobhani Tehrani, Kian Jalaleddini, Robert E Kearney
This paper describes a new small signal parametric model of ankle joint intrinsic mechanics in normal subjects. We found that intrinsic ankle mechanics is a 3rd order system and the 2nd order mass-spring-damper model, referred to as IBK, used by many researchers in the literature cannot adequately represent ankle dynamics at all frequencies in a number of important tasks. This was demonstrated using experimental data from five healthy subjects with no voluntary muscle contraction and at seven ankle positions covering the range of motion...
March 8, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28287978/on-the-adaptation-of-pelvic-motion-by-applying-3-dimensional-guidance-forces-using-tpad
#2
Jiyeon Kang, Vineet Vashista, Sunil Agrawal
Pelvic movement is important to human locomotion as the center of mass is located near the center of pelvis. Lateral pelvic motion plays a crucial role to shift the center of mass on the stance leg while swinging the other leg and keeping the body balanced. In addition, vertical pelvic movement helps to reduce metabolic energy expenditure by exchanging potential and kinetic energy during the gait cycle. However, patient groups with cerebral palsy or stroke have excessive pelvic motion that leads to high energy expenditure...
March 8, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28287977/neurostimulation-strategy-for-stress-urinary-incontinence
#3
Xuechen Huang, Kaihui Zheng, Sam Kohan, Petcharat May Denprasert, Limin Liao, Gerald E Loeb
We have developed a percutaneously implantable and wireless microstimulator (NuStimĀ®) to exercise the pelvic floor muscles for treatment of stress urinary incontinence. It produces a wide range of charge-regulated electrical stimulation pulses and trains of pulses using a simple electronic circuit that receives power and timing information from an externally generated RF magnetic field. The complete system was validated in vitro and in vivo in preclinical studies demonstrating that the NuStim can be successfully implanted into an effective, low threshold location and the implant can be operated chronically to produce effective and well-tolerated contractions of skeletal muscle...
March 7, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28287976/network-optimization-of-functional-connectivity-within-default-mode-network-regions-to-detect-cognitive-decline
#4
Wanpracha Art Chaovalitwongse, Daehan Won, Onur Seref, Paul Borghesani, Mary Katie Askren, Sherry Willis, Tom Grabowski
The rapid aging of the world's population is causing an increase in the prevalence of cognitive decline and degenerative brain disease in the elderly. Current diagnoses of amnestic and nonamnestic Mild Cognitive Impairment (MCI), which may represent early stage Alzheimer's disease or related degenerative conditions, are based on clinical grounds. The recent emergence of advanced network analyses of functional Magnetic Resonance Imaging (fMRI) data taken at cognitive rest has provided insight that declining functional connectivity of the default mode network (DMN) may be correlated with neurological disorders, and particularly prodromal Alzheimer's disease...
March 7, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278477/quantitative-eeg-for-predicting-upper-limb-motor-recovery-in-chronic-stroke-robot-assisted-rehabilitation
#5
Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic-Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this study, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery...
March 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278476/review-human-intracortical-recording-and-neural-decoding-for-brain-computer-interfaces
#6
David M Brandman, Sydney S Cash, Leigh R Hochberg
Brain Computer Interfaces (BCIs) use neural information recorded from the brain for voluntary control of external devices. The development of BCI systems has largely focused on improving functional independence for individuals with severe motor impairments, including providing tools for communication and mobility. In this review, we describe recent advances in intracortical BCI technology and provide potential directions for further research.
March 2, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278472/measurement-of-dynamic-joint-stiffness-from-multiple-short-data-segments
#7
Kian Jalaleddini, Mahsa A Golkar, Robert E Kearney
This paper presents our new method, Short Segment- Structural Decomposition SubSpace (SS-SDSS), for the estimation of dynamic joint stiffness from short data segments. The main application is for datasets that are only piece-wise stationary. Our approach is to (i) derive a data-driven, mathematical model for dynamic stiffness for short data segments, (ii) bin the nonstationary data into a number of short, stationary data segments, and (iii) estimate the model parameters from subsets of segments with the same properties...
March 2, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278475/robust-control-of-a-cable-driven-soft-exoskeleton-joint-for-intrinsic-human-robot-interaction
#8
Christopher Jarrett, Andrew McDaid
A novel, cable-driven soft joint is presented for use in robotic rehabilitation exoskeletons to provide intrinsic, comfortable human-robot interaction. The torque-displacement characteristics of the soft elastomeric core contained within the joint are modelled. This knowledge is used in conjunction with a dynamic system model to derive a sliding mode controller (SMC) to implement low-level torque control of the joint. The SMC controller is experimentally compared to a baseline feedback-linearised PD controller across a range of conditions and shown to be robust to un-modelled disturbances...
March 1, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278474/exploiting-knowledge-composition-to-improve-real-life-hand-prosthetic-control
#9
Gauravkumar Patel, Markus Nowak, Claudio Castellini
In myoelectric prosthesis control, one of the hottest topics nowadays is enforcing simultaneous and proportional (s/p) control over several degrees of freedom. This problem is particularly hard and the scientific community has so far failed to provide a stable and reliable s/p control, effective in daily-life activities. In order to improve the reliability of this form of control, in this work we propose on-the-fly knowledge composition, thereby reducing the burden of matching several patterns at the same time, and simplifying the task of the system...
March 1, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278473/optimal-external-wrench-distribution-during-a-multi-contact-sit-to-stand-task
#10
Vincent Bonnet, Christine Azevedo Coste, Thomas Robert, Philippe Fraisse, Gentiane Venture
This study aims at developing and evaluating a new practical method for the real-time estimate of joint torques and external wrenches during multi-contact sit-to-stand task using kinematics data only. The proposed method allows also identifying subject specific body inertial segment parameters that are required to perform inverse dynamics. The identification phase is performed using simple and repeatable motions. Thanks to an accurately identified model the estimate of the total external wrench can be used as an input to solve an under-determined multi-con-tact problem...
March 1, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28252410/a-density-based-clustering-approach-to-motor-unit-potential-characterizations-to-support-diagnosis-of-neuromuscular-disorders
#11
Tahereh Kamali, Daniel Stashuk
Electrophysiological muscle classification involves characterization of extracted motor unit potentials (MUPs) followed by the aggregation of these MUP characterizations. Existing techniques consider three classes (i.e., myopathic, neurogenic, and normal) for both MUP characterization and electrophysiological muscle classification. However, diseased induced MUP changes are continuous in nature, which make it difficult to find distinct boundaries between normal, myopathic and neurogenic MUPs. Hence, MUP characterization based on more than three classes is better able to represent the various effects of disease...
February 23, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28252409/a-ssvep-bci-setup-based-on-depth-of-field
#12
Anibal Cotrina, Alessandro Botti Benevides, Javier Castillo-Garcia, Alessander Botti Benevides, David Rojas-Vigo, Andre Ferreira, Teodiano Freire Bastos-Filho
In optical systems, the range of distance near the point of focus where objects are perceived sharp is referred as depth-of-field; objects outside this region are defocused and blurred. Furthermore, ophthalmology studies state that the amplitude and the latency of visual evoked potentials are affected by defocusing. In this context, this paper evaluates a novel SSVEP-BCI setup, in which two stimuli are presented together in the center of the user's field of view but at different distances ensuring that if one stimulus is focused on, the other one is nonfocused, and vice versa...
February 23, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28237931/a-multimodal-system-for-assessing-alertness-levels-due-to-cognitive-loading
#13
Anwesha Sengupta, Anirban Dasgupta, Aritra Chaudhuri, Anjith George, Aurobinda Routray, Rajlakshmi Guha
This paper proposes a scheme for assessing the alertness levels of an individual using simultaneous acquisition of multimodal physiological signals and fusing the information into a single metric for quantification of alertness. The system takes Electroencephalogram (EEG), high-speed image sequence and speech data as inputs. Certain parameters are computed from each of these measures as indicators of alertness and a metric by a fusion of the parameters for indicating alertness level of an individual at an instant is proposed...
February 20, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28221998/reduction-of-assessment-time-for-stroke-related-impairments-using-robotic-evaluation
#14
Sayyed Mostafa Mostafavi, Stephen H Scott, Sean P Dukelow, Parvin Mousavi
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this paper, we present a hierarchical task selection strategy for five tasks that form part of the battery of standard tests performed on the KINARM robotic system. The strategy is built using dependencies derived through three types of analyses: i) nonlinear hierarchical ordering theory is applied to determine the ordering of five tasks; ii) the parameters of all tasks are also ranked using non-linear hierarchical ordering theory; and iii) a modeling technique, fast orthogonal search (FOS), is applied to assess the predictive power of each robotic task for estimation of other task parameters...
February 16, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28207400/a-low-cost-adaptive-balance-training-platform-for-stroke-patients-a-usability-study
#15
Sunny Verma, Deepesh Kumar, Animesh Kumawat, Anirban Dutta, Uttama Lahiri
Stroke patients usually suffer from asymmetric posture due to hemi-paresis that can result in reduced postural controllability leading to a balance deficit. This deficit increases the risk of falls, which often makes them dependent on caregivers for community ambulation, thus deteriorating their quality of life. Conventional balance training involves rehabilitation exercises performed under physiotherapist's supervision where the scarcity of trained professionals as well as the cost of clinic-based rehabilitation programs can deter stroke survivors from undergoing regular balance training...
February 9, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28207399/motor-unit-potential-jitter-a-new-measure-of-neuromuscular-transmission-instability
#16
Meena AbdelMaseeh, Daniel Stashuk
OBJECTIVE: A new measure of neuromuscular transmission instability, motor unit potential (MUP) jitter, is introduced. MUP jitter can be estimated quickly using motor unit potential trains (MUPTs) extracted from electromyographic (EMG) signals acquired using conventional clinical equipment and needle EMG electrodiagnostic protocols. The primary motivation for developing MUP jitter is to avoid the technical demands associated with estimating jitter using conventional single fibre EMG techniques...
February 9, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28186902/a-wearable-hip-assist-robot-can-improve-gait-function-and-cardiopulmonary-metabolic-efficiency-in-elderly-adults
#17
Hwang-Jae Lee, Suhyun Lee, Won Hyuk Chang, Keehong Seo, Youngbo Shim, Byung-Ok Choi, Gyu-Ha Ryu, Yun-Hee Kim
The aims of this study were to investigate the effectiveness of a newly developed wearable hip assist robot that uses an active assist algorithm to improve gait function, muscle effort, and cardiopulmonary metabolic efficiency in elderly adults. Thirty elderly adults (15 males/15 females) participated in this study. The experimental protocol consisted of overground gait at comfortable speed under three different conditions: free gait without robot assistance, robot-assisted gait with zero torque (RAG-Z), and full robot-assisted gait (RAG)...
February 6, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28166501/using-a-sniff-controller-to-self-trigger-abdominal-functional-electrical-stimulation-for-assisted-coughing-following-cervical-spinal-cord-lesions
#18
Lior Haviv, Hagit Friedman, Uri Bierman, Itzhak Glass, Anton Plotkin, Aharon Weissbrod, Sagit Shushan, Vadim Bluvshtein, Elena Aidinoff, Noam Sobel, Amiram Catz
Individuals with cervical spinal cord lesions (SCL) typically depend on caregivers to manually assist in coughing by pressing against their abdominal wall. Coughing can also be assisted by functional electric stimulation (FES) applied to abdominal muscles via surface electrodes. Efficacy of FES, however, depends on precise temporal synchronization. The sniff-controller is a trigger that enables paralyzed individuals to precisely control external devices through alterations in nasal airflow. We hypothesized that FES self-triggering by sniffcontroller may allow for effective cough timing...
January 31, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28141526/rhythmic-extended-kalman-filter-for-gait-rehabilitation-motion-estimation-and-segmentation
#19
Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture, Dana Kulic
This work proposes a method to enable the use of non-intrusive, small, wearable, wireless sensors to estimate the pose of the lower body during gait and other periodic motions and to extract objective performance measures useful for physiotherapy. The Rhythmic Extended Kalman Filter (Rhythmic- EKF) algorithm is developed to estimate the pose, learn an individualized model of periodic movement over time, and use the learned model to improve pose estimation. The proposed approach learns a canonical dynamical system model of the movement during online observation, which is used to accurately model the acceleration during pose estimation...
January 26, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113346/control-and-evaluation-of-a-powered-transfemoral-prosthesis-for-stair-ascent
#20
Elissa D Ledoux, Michael Goldfarb
This paper assesses the metabolic effort exerted by three transfemoral amputees when using a powered knee and ankle prosthesis for stair ascent, relative to ascending stairs with passive knee and ankle prostheses. The paper describes a controller that provides step-over stair ascent behavior reflective of healthy stair ascent biomechanics, and describes its implementation in a powered prosthesis prototype. Stair ascent experiments were performed with three unilateral transfemoral amputee subjects, comparing the oxygen consumption required to ascend stairs using the powered prosthesis (with a step-over gait), relative to using their daily-use energetically passive prostheses (with a step-to gait)...
January 20, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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