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IEEE Transactions on Neural Systems and Rehabilitation Engineering

Zachary F Lerner, Gian Maria Gasparri, Michael O Bair, Jenny L Lawson, Jason Luque, Taryn A Harvey, Andrea T Lerner
The high energy cost of walking in individuals with cerebral palsy (CP) contributes significantly to reduced mobility and quality of life. The purpose of this study was to develop and clinically evaluate an untethered ankle exoskeleton with the ability to reduce the metabolic cost of walking in children and young adults with gait pathology from CP. We designed a battery-powered device consisting of an actuator-and-control module worn above the waist with a Bowden cable transmission used to provide torque to pulleys aligned with the ankle...
September 17, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Diego L Guarin, Robert E Kearney
The overall mechanical properties of a joint are generated by a combination intrinsic (mechanical) and reflex (neural) mechanisms. Nevertheless, many methods for estimating joint mechanical properties have used a linear, dynamic model whose parameters are commonly related to the joint inertial and viscoelastic properties. Such mechanical models cannot account for torques due to reflex mechanisms and consequently fitting them to data containing reflex torques can give biased results. This paper addresses this issue in two ways...
September 17, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Caroline Lehser, Eric Wagner, Daniel J Strauss
The design of human machine interfaces (HMIs) by virtual haptics is an emerging field of research. So far, the perception of virtual haptic feedback, e.g., generated by focused ultrasound in mid-air has not been objectively evaluated. This study demonstrates the feasibility of eliciting somatosensory evoked potentials (SEPs) with ultrasonic stimuli in mid-air for the first time. The palm was stimulated by short ultrasonic focal points generated by an ultrasound board. The results are compared with a no-stimulation condition as well as with the results of a vibro-tactile stimulation...
September 12, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Birte S Loffler, Heiko I Stecher, Sebastian Fudickar, Dominik de Sordi, Fabian Otto-Sobotka, Andreas Hein, Christoph S Herrmann
Indicators for a decrement in vigilance are a slowdown in reaction times and an increase in alpha power in the electroencephalogram (EEG) in posterior regions of the brain. Transcranial alternating current stimulation (tACS) is a neuropsychological technique that has been found to interact with intrinsic brain oscillations and is able to enhance cognitive and behavioral performance. Recent studies showed that tACS in the gamma frequency range (30-80 Hz) is able to downregulate amplitudes in the alpha frequency range (8-12 Hz), in accordance to the effect referred to as cross-frequency coupling, where intrinsic alpha and gamma waves modulate each other...
September 10, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Hao Ma, Chunhao Zhong, Bing Chen, Kai-Ming Chan, Wei-Hsin Liao
Patients suffering from neurological and orthopedic diseases or injuries usually have mobility impairment problems, and they require customized rehabilitation training to recover. In recent years, robotic assistive devices have been widely studied for gait rehabilitation. In this paper, methods to determine user-adaptive assistance of Assistive Knee Braces (AKBs) in gait rehabilitation are investigated. A fuzzy expert system, which takes a patient's physical condition and gait analysis results as inputs, is proposed to configure suitable levels of different assistive functions of the AKB...
September 5, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Luzheng Bi, Huikang Wang, Teng Teng, Cuntai Guan
In this paper, to address the safety of braincontrolled vehicles under emergency situations, we propose a novel method of emergency situation detection by fusing driver electroencephalography (EEG) signals with surrounding information. We first build a novel EEG-based detection model of driver emergency braking intention. We then recognize emergency situations by fusing the result of the proposed EEGbased intention detection model with that of the obstacle detection model based on surrounding information. The real-time detection system of driver emergency braking intention is implemented on an embedded system, and the driver-and-hardware-in-the-loopexperiment of the proposed detection method of emergency situations is performed...
September 4, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fang-Yu Cheng, Yea-Ru Yang, Yih-Ru Wu, Chia-Feng Lu, Shih-Jung Cheng, Ray-Yau Wang
BACKGROUND AND OBJECTIVE: The purpose of this study was to investigate the effects of a specific exercise (SE) training program focusing on balance and muscle strengthening and a turning-based treadmill (TT) training program on cortical desynchronization and postural control in Parkinson's disease (PD). METHODS: Eighteen patients with PD were recruited and randomly assigned to the SE group, TT training group or control exercise (CE) group and participated in 12 30-min training sessions focusing on balance and strengthening, turning-based treadmill training, or general exercise training, respectively, followed by 10 minutes of over-ground walking in each session for 4 to 6 weeks...
August 31, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Mahmut Akilli, Nazmi Yilmaz
In this paper, weak periodic signals detected in the EEG signals were analysed for each region of the brain and its relationships with postsynaptic potentials were investigated. For this, EEG signals were collected from 16 different channels according to the international standard channel 10/20 system in the scalp of two patients, one epileptic and one non-epileptic. In our recent work, we have detected weak periodic signals in the EEG signals using Duffing oscillator system. In this paper, we have used a compact method by combining Duffing Oscillator System with scale index which is based on wavelet analysis in order to make the determination of the weak periodic signals more straightforward in practice...
August 28, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Stergios Verros, Nauzef Mahmood, Laura Peeters, Joan Lobo-Prat, Arjen Bergsma, Edsko Hekman, Gijsbertus J Verkerke, Bart Koopman
A feasibility study was performed to evaluate control interfaces for a novel trunk support assistive device (Trunk Drive) namely, joystick, force on sternum, force on feet and EMG (electromyography) to be used by adult men with Duchenne Muscular Dystrophy (DMD). The objective of this study was to evaluate the performance of the different control interfaces during a discrete position tracking task. We built a one degree of freedom flexion- extension active trunk support device that was tested on 10 healthy men...
August 23, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Derek N Wolf, Eric M Schearer
Functional electrical stimulation (FES) is a promising solution for restoring functional motion to individuals with paralysis, but the potential for achieving any desired full-arm reaching motion has not been realized. We present a combined feedforward-feedback controller capable of automatically calculating and applying the necessary muscle stimulations to hold the wrist of an individual with high tetraplegia in a desired static position. We used the controller to hold a complete arm configuration to maintain a series of static wrist positions...
August 20, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Stefano Mazzoleni, Vi-Do Tran, Paolo Dario, Federico Posteraro
In this study, the recovery of proximal and distal segments in stroke patients who received distal training alone was investigated. Forty (20 subacute and 20 chronic) stroke patients were recruited to perform wrist robot-assisted rehabilitation training. The upper extremity, shoulder-elbow and wrist subsections of the Fugl-Meyer Assessment Scale were used to assess the motor recovery of distal and proximal segments. In addition, the Modified Ashworth Scale, the Motricity Index and the Box & Block test were used as clinical outcome measures together with kinematic parameters to evaluate the effects of the training...
August 13, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Ali Mohammadi, Mohammadhossein Ebrahimi, Siru Kaartinen, Gustaf Jarnefelt, Jari Karhu, Petro Julkunen
We characterized the short-interval intracortical facilitation (SICF) via modulation of transcranial magnetic stimulation (TMS) induced motor evoked potentials (MEPs) using paired-pulse stimulation, and analyzed the interactions with known SICF I-wave behavior. The objective was to optimize individual SICF to enhance TMS effects in motor mapping and therapeutic stimulations. We applied navigated TMS in nine healthy volunteers to study SICF. MEPs were measured for baseline using single-pulse TMS, and subsequently, paired-pulse TMS was applied to study SICF...
August 8, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
M N Sahadat, Arish Alreja, Nima Mikail, Maysam Ghovanloo
OBJECTIVE: Assistive technologies often focus on a remaining ability of their users, particularly those with physical disabilities, e.g. tetraplegia, to facilitate their computer access. We hypothesized that by combining multiple remaining abilities of the end users in an intuitive fashion, it is possible to improve the quality of computer access. In this study, 15 able-bodied subjects completed four computer access tasks without using their hands: center-out tapping, on-screen maze navigation, playing a game, and sending an email...
August 7, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Ilaria Carpinella, Antonio Nardone, Gianluca Bonora, Thomas Bowman, Davide Cattaneo, Marco Rabuffetti, Maurizio Ferrarin
Abnormalities of body-weight transfer occur during several motor tasks in people with Parkinson's disease (PwPD). In this study, a novel robotic paradigm for assessment and training of dynamic balance was developed and applied to twelve healthy subjects (HS) and ten PwPD to verify its feasibility and to assess the capability of PwPD to counteract postural perturbations through body-weight shifts. At variance with other robotic paradigms, subjects had to react as fast as possible to the perturbation, bringing the platform back to the horizontal and keeping it until the end of the task...
August 2, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Dong Cui, Shunai Qi, Guanghua Gu, Xiaoli Li, Zhaohui Li, Lei Wang, Shimin Yin
Type 2 diabetes mellitus (T2DM) increases the risk of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease(AD). aMCI is the transitory stage from normal cognition to AD, which seriously impacts the quality of human life, especially for old people. Electroencephalography (EEG) coherence can assess the functional connectivity between different brain regions, which is an effective way to research the pathogenesis of aMCI and distinguish aMCI patients from normal cognitive subjects. In this paper, we propose a new EEG coherence approach named magnitude squared coherence based on weighted canonical correlation analysis (WCCA-MSC) which improves the accuracy in coherence estimation by the means of weighting...
August 2, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Asieh Ahani, Mohammad Moghadamfalahi, Deniz Erdogmus
Augmentative and alternative communication (AAC) is typically used by people with severe speech and physical disabilities (SSPI) and is one of the main application areas for brain computer interface (BCI) technology. The target population includes people with cerebral palsy (CP), amyotrophic lateral sclerosis (ALS) and locked-in-syndrome (LIS). Word-based AAC systems are mainly faster than letter-based counterparts and are usually supplemented by icons to aid the users. Those iconbased AAC systems that use binary signaling methods such as single click can convert into a single input BCI systems such as ERP detection...
July 25, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Hao-Teng Hsu, Wai-Keung Lee, Kuo-Kai Shyu, Ting-Kuang Yeh, Chun-Yen Chang, Po-Lei Lee
Neural oscillatory activities existing in multiple fre-quency bands usually represent different levels of neurophysiolog-ical meanings, from micro-scale to macro-scale organizations. In this study, we adopted Holo-Hilbert spectral analysis (HHSA) to study the amplitude-modulated (AM) and frequency-modulated (FM) components in sensorimotor Mu rhythm, induced by slow- and fast-rate repetitive movements. The HHSA-based approach is a two-layer empirical mode decomposition (EMD) architecture, which firstly decomposes the EEG signal into a series of frequency-modulated intrinsic mode functions (IMF) and then decomposes each frequency-modulated IMF into a set of amplitude-modulated IMFs...
July 13, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Reza Sharif Razavian, Borna Ghannadi, Naser Mehrabi, Mark Charlet, John McPhee
Functional electrical stimulation (FES) can be used as a neuroprosthesis in which muscles are stimulated by electrical pulses to compensate for the loss of voluntary movement control. Modulating the stimulation intensities to reliably generate movements is a challenging control problem. This paper introduces a feedback controller for a multi-muscle FES system to control hand movements in a two-dimensional (table-top) task space. This feedback controller is based on a recent human motor control model, which uses muscle synergies to simplify its calculations and improve the performance...
July 5, 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Marco A Buhler, Anouk Lamontagne
Virtual environments (VEs) are increasingly used in the context of scientific inquiries and rehabilitation for tasks that are otherwise difficult to control or perform safely in physical environments (PEs), such as avoiding other pedestrians during locomotion. The usefulness of VEs, however, remains constrained by the extent to which they can elicit natural responses. The objectives of the study were to examine circumvention strategies in response to pedestrians approaching from different directions in the VE versus PE and to determine the effects of repeated practice on the circumvention strategies...
September 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Li Ding, Xu Wang, Xiaoli Guo, Shugeng Chen, Hewei Wang, Ning Jiang, Jie Jia
Mirror visual feedback (MVF) is used widely for motor recovery after stroke, but an optimal training setup and systematic procedure are lacking. New optimization strategies have been proposed, one of which is a camera technique. We investigated the effects of a camera-based MVF setup on motor function and motor processes upstream for upper-limb rehabilitation. Seventy-nine stroke patients were assigned randomly to the MVF group (MG; ${N} = {38}$ ) or conventional group (CG; ${N} = {41}$ ), which, respectively, received camera-based MVF and dosage-equivalent physiotherapy or/and occupational therapy for 1 h/day and five days/week for four weeks...
September 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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