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IEEE Transactions on Neural Systems and Rehabilitation Engineering

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https://www.readbyqxmd.com/read/30442608/automatic-musculoskeletal-and-neurological-disorder-diagnosis-with-relative-joint-displacement-from-human-gait
#1
Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam, Edmond S L Ho, Hubert P H Shum
Musculoskeletal and neurological disorders are common devastating companions of ageing, leading to a reduction in quality of life and increased mortality. Gait analysis is a popular method for diagnosing these disorders. However, manually analysing the motion data is a labour-intensive task, and the quality of the results depends on the experience of the doctors. In this paper, we propose an automatic framework for classifying musculoskeletal and neurological disorders among older people based on 3D motion data...
November 15, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30442612/sleep-quality-estimation-by-cardiopulmonary-coupling-analysis
#2
Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G Ravelo-Garcia
The gold standard for assessment of sleep quality is the polysomnography where physiological signals are used to generate both quantitative and qualitative measurements. Despite the production of highly accurate results, polysomnography is a complex, uncomfortable and expensive process, inaccessible to a large group of the population. Home monitoring devices were developed to address these issues, fitting the growing perspective of health care and focusing in prevention and wellness. The objective of this work was to develop an algorithm capable of estimating the quality of sleep, by analyzing the cyclic alternating pattern rate...
November 14, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30442611/instrumental-assessment-of-stair-ascent-in-people-with-multiple-sclerosis-stroke-and-parkinson-s-disease-a-wearable-sensor-based-approach
#3
Ilaria Carpinella, Elisa Gervasoni, Denise Anastasi, Tiziana Lencioni, Davide Cattaneo, Maurizio Ferrarin
Stair ascent is a challenging daily-life activity highly related to independence. This task is usually assessed with clinical scales suffering from partial subjectivity and limited detail in evaluating different task's aspects. In this study we instrumented the assessment of stair ascent in people with Multiple Sclerosis (MS), stroke (ST) and Parkinson's disease (PD) to analyze the validity of the proposed quantitative indexes and characterize subjects' performances. Participants climbed 10 steps wearing a magneto-inertial sensor (MIMU) at sternum level...
November 14, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30442610/an-asynchronous-control-paradigm-based-on-sequential-motor-imagery-and-its-application-in-wheelchair-navigation
#4
Yang Yu, Yadong Liu, Jun Jiang, Erwei Yin, Zongtan Zhou, Dewen Hu
In this paper, an asynchronous control paradigm based on sequential motor imagery (sMI) is proposed to enrich the control commands of a MI-based brain-computer interface (BCI). We test the feasibility and report the performance of this para-digm in wheelchair navigation control. By sequentially imaging left- and right-hand movements, the subjects can complete four sMI tasks in an asynchronous mode, which are then encoded to control six steering functions of a wheelchair, including moving forward, turning left, turning right, accelerating, decelerating and stopping...
November 13, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30442609/restoring-natural-forearm-rotation-in-transradial-osseointegrated-amputees
#5
Irene Boni, Jason Millenaar, Marco Controzzi, Max Ortiz-Catalan
Osseointegrated transradial prostheses have the potential to preserve the natural range of wrist rotation, which improves the performance of activities of daily living and reduces compensatory movements that potentially lead to secondary health problems over time. This is possible by enabling the radius and the ulna bone to move with respect to each other, restoring the functionality of the original distal-radioulnar joint. In this paper we report on psychophysics tests performed on an osseointegrated transradial amputee with the aim to understand the extent of mobility of the implants that is required to preserve natural forearm rotation...
November 13, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30418913/conceptual-design-of-a-fully-passive-transfemoral-prosthesis-to-facilitate-energy-efficient-gait
#6
Ramazan Unal, Sebastiaan Behrens, Raffaella Carloni, Edsko Hekman, Stefano Stramigioli, Bart Koopman
In this study, we present the working principle and conceptual design towards the realization of a fully-passive transfemoral prosthesis that mimics the energetics of the natural human gait. The fundamental property of the conceptual design consists of realizing an energetic coupling between the knee and ankle joints of the mechanism. Simulation results show that the power flow of the working principle is comparable to that in human gait and a considerable amount of energy is delivered to the ankle joint for the push-off generation...
November 12, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30418882/technology-assisted-ankle-rehabilitation-improves-balance-and-gait-performance-in-stroke-survivors-a-randomized-controlled-study-with-1-month-follow-up
#7
Dongyual Yoo, Younsun Son, Dae-Hee Kim, Kap-Ho Seo, Beom-Chan Lee
Many stroke survivors have limited ankle range of motion (ROM) caused by weak dorsiflexors and stiff plantarflexors. Passive ankle stretching exercises with physical therapists or a stretching board are usually recommended, but these treatments have some limitations (e.g., cost, availability of physical therapists, etc.). In this paper, we assessed the results of ankle stretching exercises delivered by a robotic ankle stretching system called Motorized Ankle Stretcher (MAS) that we developed or by a stretching board on ankle ROM, balance control, and gait performance...
November 6, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30403633/modeling-the-kinematics-of-human-locomotion-over-continuously-varying-speeds-and-inclines
#8
Kyle R Embry, Dario J Villarreal, Rebecca L Macaluso, Robert D Gregg
Powered knee and ankle prostheses can perform a limited number of discrete ambulation tasks. This is largely due to their control architecture, which uses a finite-state machine to select among a set of task-specific controllers. A non-switching controller that supports a continuum of tasks is expected to better facilitate normative biomechanics. This paper introduces a predictive model that represents gait kinematics as a continuous function of gait cycle percentage, speed, and incline. The basis model consists of two parts: basis functions that produce kinematic trajectories over the gait cycle, and task functions that smoothly alter the weight of basis functions in response to task...
November 5, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30387735/design-and-development-of-a-portable-exoskeleton-for-hand-rehabilitation
#9
Duojin Wang, Qingyun Meng, Qiaoling Meng, Xinwei Li, Hongliu Yu
Improvement in hand function to promote functional recovery is one of the major goals of stroke rehabilitation. This paper introduces a newly developed exoskeleton for hand rehabilitation with a user-centered design concept, which integrates the requirements of practical use, mechanical structure and control system. The paper also evaluated the function with two prototypes in a local hospital. Results of functional evaluation showed that significant improvements were found in ARAT (P=0.014), WMFT (P=0.020) and FMA_WH (P=0...
October 30, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30387734/predicting-microsleep-states-using-eeg-inter-channel-relationships
#10
Abdul Baseer Buriro, Reza Shoorangiz, Stephen J Weddell, Richard D Jones
A microsleep is a brief and involuntary sleep-related loss of consciousness of up to 15 s. We investigated the performances of seven pairwise inter-channel relationships - covariance, Pearson's correlation coefficient, wavelet cross-spectral power, wavelet coherence, joint entropy, mutual information, and phase synchronization index - in continuous prediction of microsleep states from EEG. These relationships were used as feature sets of a linear discriminant analysis (LDA) and a linear support vector machine (LSVM) classifiers...
October 30, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371382/simple-and-fast-compensation-of-semg-interface-rotation-for-robust-hand-motion-recognition
#11
Minjae Kim, Keehoon Kim, Wan Kyun Chung
Surface electromyography (sEMG) measurements have demonstrated the potential to recognize complex hand motions. Additionally, sEMG enables natural recognition without disturbing movements, and thus, can be used in various fields such as teleoperation, assistant robots, and prosthetic hands. However, sEMG signals highly depend on electrode placements due to the complex muscle structures. A shift of the electrode can lead to inconsistent signal measurement. Thus, sEMG-based recognition is not practical for applications that require longterm and repeated usage...
October 29, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371381/progressive-thresholding-shaping-and-specificity-in-automated-neurofeedback-training
#12
Kiret Dhindsa, Kyle D Gauder, Kristen A Marszalek, Braeden Terpou, Suzanna Becker
Neurofeedback has long been proposed as a promising form of adjunctive non-pharmaceutical treatment for a variety of neuropsychological disorders. However, there is much debate over its efficacy and specificity. Many suggest that specificity can only be achieved when a specially trained clinician manually updates reward thresholds, which indicate to the trainee when they are modulating their brain activity correctly, during training. We present a novel fully automated reward thresholding algorithm called Progressive Thresholding and test it with a frontal alpha asymmetry neurofeedback protocol...
October 26, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371380/a-brain-computer-interface-based-action-observation-game-that-enhances-mu-suppression
#13
Hyunmi Lim, Jeonghun Ku
Action observation training based on the theory of activation of the mirror-neuron system has been used for the rehabilitation of patients with stroke. In this paper, we sought to assess whether a brain-computer interface-based action observation rehabilitation game, using a flickering action video, could preferentially activate the mirror-neuron system. Feedback of stimulus observation, evoked by the flickering action video, was provided using steady state visually evoked potential and event related desynchronization...
October 26, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371379/assessment-of-the-complex-refractive-indices-of-xenopus-laevis-sciatic-nerve-for-the-optimisation-of-optical-nir-neurostimulation
#14
Enayetur Rahman, Michael B Powner, Panayotis A Kyriacou, Iasonas F Triantis
Despite an increasing interest in the use of light for neural stimulation there is little information on how it interacts with neural tissue. The choice of wavelength in most of the optical stimulation literature is based on already available light sources designed for other applications. This paper is the first one to report the complex refractive index of the Sciatic nerve of Xenopus laevis, which is a crucial parameter for identifying the optimal wavelength of optical stimuli. The Xenopus laevis neural tissue is the most widely used tissue type in peripheral neurostimulation studies...
October 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371378/brain-activation-and-gait-alteration-during-cognitive-and-motor-dual-task-walking-in-stroke-a-functional-near-infrared-spectroscopy-study
#15
Yan-Ci Liu, Yea-Ru Yang, Yun-An Tsai, Ray-Yau Wang, Chia-Feng Lu
This study investigated the effects of cognitive and motor dual tasks on gait performance and brain activities in stroke. Twenty-three stroke subjects performed single walking (SW), walking while performing cognitive task (WCT), and walking while performing motor task (WMT) at self-selected speed. The gait performance was recorded, including speed, cadence, stride time, stride length, and dual task cost (DTC). Brain activities in prefrontal cortex (PFC), premotor cortex (PMC), and supplementary motor areas (SMA) were measured by functional near-infrared spectroscopy during walking...
October 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371377/bayesian-optimized-spectral-filters-coupled-with-ternary-ecoc-for-single-trial-eeg-classification
#16
Soroosh Shahtalebi, Arash Mohammadi
Motivated by the promising emergence of Brain Computer Interfaces (BCIs) within assistive/rehabilitative systems for therapeutic applications, the paper proposes a novel Bayesian framework that simultaneously optimizes a number of subject-specific filter banks and spatial filters. Optimized double band spectro-spatial filters are derived based on Common Spatial Patterns (CSP) coupled with the error correcting output coding (ECOC) classifiers. The proposed framework constructs optimized subject-specific spectral filters in an intuitive fashion resulting in creation of significantly discriminant features, which is a crucial requirement for any EEG-based BCI system...
October 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371376/design-and-validation-of-a-semi-active-variable-stiffness-foot-prosthesis
#17
Evan M Glanzer, Peter G Adamczyk
This paper presents the design and validation of a novel lower-limb prosthesis called the Variable-Stiffness Foot (VSF), designed to vary its forefoot stiffness in response to user activity. The VSF is designed as a semi-active device that adjusts its stiffness once per stride during swing phases, in order to minimize size, mass and power consumption. The forefoot keel is designed as an overhung composite beam, whose stiffness is varied by moving a support fulcrum to change the length of the overhang. Stiffness modulation is programmed in response to gait characteristics detected through foot trajectory reconstruction based on an embedded inertial sensor...
October 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30371375/unimanual-vs-bimanual-motor-imagery-classifiers-for-assistive-and-rehabilitative-brain-computer-interfaces
#18
Vuckovic Aleksandra, Pangaro Sara, Putri Finda
Bimanual movements are an integral part of everyday activities and are often included in rehabilitation therapies. Yet electroencephalography (EEG) based assistive and rehabilitative brain computer interface (BCI) systems typically rely on motor imagination (MI) of one limb at the time. In this study we present a classifier which discriminates between uni-and bimanual MI. Ten able bodied participants took part in cue based motor execution (ME) and MI tasks of the left (L), right (R) and both (B) hands. A 32 channel EEG was recorded...
October 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30369447/a-new-unsupervised-detector-of-high-frequency-oscillations-in-accurate-localization-of-epileptic-seizure-onset-zones
#19
Min Wu, Ting Wan, Min Ding, Xiongbo Wan, Yuxiao Du, Jinhua She
This paper presents a new unsupervised detector for automatically detecting high-frequency oscillations (HFOs) using intracranial electroencephalogram (iEEG) signals. This detector does not presuppose a specific number of clusters and has good performance. First, the HFO candidates are detected by an initial detection method which distinguishes HFOs from background activities. Then, as significant features, fuzzy entropy, short time energy, power ratio, and spectral centroid of the HFO candidates are investigated and constructed as a feature vector...
October 24, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/30334802/biomedical-serious-game-system-for-balance-rehabilitation-of-hemiparetic-stroke-patients
#20
F Noveletto, A V Soares, B A Mello, C N Sevegnani, F L F Eichinger, M da S Hounsell, P Bertemes-Filho
Hemiparetic stroke patients can have several muscular and postural disorders which compromise their balance. Serious Games (SG) emerged as a new approach to enhance conventional treatment by making it a motivating method to meet individual needs. This paper evaluated the therapeutic effects of a biomedical SG system developed for balance evaluation and training of hemiparetic stroke patients. The system consists of a balance board with inertial sensors and a computer system that runs the game. A novel scoring system for balance evaluation which extracts metric information regarding patients' performance while gaming was proposed...
October 18, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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