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IEEE Transactions on Neural Systems and Rehabilitation Engineering

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https://www.readbyqxmd.com/read/28422686/an-integrated-movement-analysis-framework-to-study-upper-limb-function-a-pilot-study
#1
Kimberly Kontson, Ian Marcus, Barbara Myklebust, Eugene Civillico
The functional capabilities of individuals with upper limb disabilities are assessed throughout rehabilitation and treatment regimens using functional outcome measures. For the upper limb amputee population, there are none which quantitatively take into account the quality of movement while an individual is performing tasks. In this work, we demonstrate the use of an integrated movement analysis framework, based on motion capture and ground reaction force data, to capture quantitative information about how subjects complete a commonly used functional outcome measure, the Box and Blocks Test (BBT)...
April 12, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28422662/use-of-accelerometers-in-the-control-of-practical-prosthetic-arms
#2
Peter Kyberd, Adrian Poulton
Accelerometers can be used to augment the control of powered prosthetic arms. They can detect the orientation of the joint and limb and the controller can correct for the amount of torque required to move the limb. They can also be used to create a platform, with a fixed orientation relative to gravity for the object held in the hand. This paper describes three applications for this technology, in a powered wrist and powered arm. By adding sensors to the arm making these data available to the controller, the input from the user can be made simpler...
April 12, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28410110/portable-and-reconfigurable-wrist-robot-improves-hand-function-for-post-stroke-subjects
#3
Kang Xiang Khor, Patrick Jun Hua Chin, Che Fai Yeong, Eileen Lee Ming Su, Aqilah Leela T Narayanan, Hisyam Abdul Rahman, Qamer Iqbal Khan
Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high cost of robots hampers their implementation on a large scale. This study implements the concept of a modular and reconfigurable robot, reducing its cost and size by adopting different therapeutic end effectors for different training movements using a single robot. The challenge is to increase the robot's portability and identify appropriate kinds of modular tools and configurations. Because literature on the effectiveness of this kind of rehabilitation robot is still scarce, this paper presents the design of a portable and reconfigurable rehabilitation robot and describes its use with a group of post-stroke patients for wrist and forearm training...
April 7, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28391201/using-wearable-technology-to-generate-objective-parkinson-s-disease-dyskinesia-severity-score-possibilities-for-home-monitoring
#4
Mehdi Delrobaei, Navid Baktash, Greydon Gilmore, Kenneth McIsaac, Mandar Jog
A variety of clinical scales are available to assess dyskinesia severity in Parkinson's disease patients; however, such assessments are subjective, do not provide long term monitoring, and their use is subject to inter- and intra-rater variability. In this study, an objective dyskinesia score was developed using an IMU-based motion capture system. Deep brain stimulation (DBS) surgery is currently the only acute intervention that results in rapidly progressive reduction of dyskinesia's severity, hence this form of therapy was selected as a model to validate the proposed method...
April 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28391200/quasi-periodicities-detection-using-phase-rectified-signal-averaging-in-eeg-signals-as-a-depth-of-anesthesia-monitor
#5
Quan Liu, Yi-Feng Chen, Shou-Zen Fan, Maysam Abbod, Jiann-Shing Shieh
Phase-rectified signal averaging (PRSA) has been known to be a useful method to detect periodicities in non-stationary biological signals. Determination of quasi-periodicities in electroencephalogram (EEG) is a candidate for quantifying the changes of depth of anesthesia (DOA). In this paper, DOA monitoring capacity of periodicities detected using PRSA was quantified by assessing EEG signals collected from 56 patients during surgery. The method is compared to sample entropy (SampEn), detrended fluctuation analysis (DFA) and permutation entropy (PE)...
April 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28368823/monitoring-of-gait-quality-in-patients-with-chronic-pain-of-lower-limbs
#6
Philippe Terrier, Joane Le Carre, Marie-Laure Connaissa, Bertrand Leger, Francois Luthi
Severe injuries of lower extremities often lead to chronic pain and reduced walking abilities. We postulated that measuring free-living gait can provide further information about walking ability in complement to clinical evaluations. We sought to validate a method that characterizes free gaits with a wearable sensor. Over one week, 81 healthy controls (HC) and 66 chronic lower limb pain patients (CLLPP) hospitalized for multidisciplinary rehabilitation wore a simple accelerometer (Actigraph). In the acceleration signals, steady one-minute walks detected numbered 7,835 (5,085 in CLLPP and 2,750 in HC)...
March 28, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28358690/a-framework-of-temporal-spatial-descriptors-based-feature-extraction-for-improved-myoelectric-pattern-recognition
#7
Rami N Khushaba, Ali H Al-Timemy, Ahmed Al-Ani, Adel Al-Jumaily
The extraction of accurate and efficient descriptors of muscular activity plays an important role in tackling the challenging problem of myoelectric control of powered prostheses. In this paper, we present a new feature extraction framework that aims to give an enhanced representation of muscular activities through increasing the amount of information that can be extracted from individual and combined Electromyogram (EMG) channels. We propose to use time-domain descriptors (TDD) in estimating the EMG signal power spectrum characteristics; a step that preserves the computational power required for the construction of spectral features...
March 24, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28358689/prospective-fall-risk-prediction-models-for-older-adults-based-on-wearable-sensors
#8
Jennifer Howcroft, Jonathan Kofman, Edward Lemaire
Wearable sensors can provide quantitative, gait-based assessments that can translate to point-of-care environments. This investigation generated elderly fall-risk predictive models based on wearable-sensor-derived gait data and prospective fall occurrence; and identified the optimal sensor type, location, and combination for single and dual-task walking. 75 individuals who reported six month prospective fall occurrence (75.2 ┬▒ 6.6 years; 47 non-fallers, 28 fallers) walked 7.62 m under single-task and dual-task conditions while wearing pressure-sensing insoles and tri-axial accelerometers at the head, pelvis, and left and right shanks...
March 24, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28328507/kilohertz-electrical-stimulation-nerve-conduction-block-effects-of-electrode-surface-area
#9
Yogi A Patel, Brian S Kim, William S Rountree, Robert J Butera
Kilohertz electrical stimulation (KES) induces repeatable and reversible conduction block of nerve activity and is a potential therapeutic option for various diseases and disorders resulting from pathological or undesired neurological activity. However successful translation of KES nerve block to clinical applications is stymied by many unknowns such as the relevance of the onset response, acceptable levels of waveform contamination, and optimal electrode characteristics. We investigated the role of electrode geometric surface area on the KES nerve block threshold using 20 and 40 kHz current-controlled sinusoidal KES...
March 17, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28328506/a-stimulus-independent-hybrid-bci-based-on-motor-imagery-and-somatosensory-attentional-orientation
#10
Lin Yao, Xinjun Sheng, Dingguo Zhang, Ning Jiang, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina
Distinctive EEG signals from the motor and somatosensory cortex are generated during mental tasks of motor imagery (MI) and somatosensory attentional orientation (SAO). In this study, we hypothesize that a combination of these two signal modalities provides improvements in BCI performance with respect to using the two methods separately, and generate novel types of multi-class BCI systems. Thirty-two subjects were randomly divided into a Control-Group and a Hybrid-Group. In the Control-Group, the subjects performed left and right hand motor imagery (i...
March 17, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320674/simulation-study-of-an-ultrasound-retinal-prosthesis-with-a-novel-contact-lens-array-for-noninvasive-retinal-stimulation
#11
Mengdi Gao, Yanyan Yu, Huixia Zhao, Guofeng Li, Hongyang Jiang, Congzhi Wang, Feiyan Cai, Leanne Chan, Bernard Chiu, Wei Qian, Weibao Qiu, Hairong Zheng
Millions of people around the world suffer from varying degrees of vision loss (including complete blindness) because of retinal degenerative diseases. Artificial retinal prosthesis, which is usually based on electrical neurostimulation, are the most advanced technology for different types of retinal degeneration. However, this technology involves placing a device into the eyeball, and such a highly invasive procedure is inevitably highly risk and expensive. Ultrasound has been demonstrated to be a promising technology for noninvasive neurostimulation, making it possible to stimulate the retina and induce action potentials similar to those elicited by light stimulation...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320673/imu-based-wrist-rotation-control-of-a-transradial-myoelectric-prosthesis
#12
Daniel A Bennett, Michael Goldfarb
This paper describes a control method intended to fa-cilitate improved control of a myoelectric prosthesis containing a wrist rotator. Rather than exclusively utilize electromyogram (EMG) for the control of all myoelectric components (e.g., a hand and a wrist), the proposed controller utilizes inertial measurement (from 6-axis inertial measurement unit, or IMU) to sense upper arm ab/adduction, and uses this input to command a wrist rotation velocity. As such, the controller essentially substitutes shoulder ab/adduction in place of agonist/antagonist EMG to control wrist angular velocity, which preserves EMG for control of the hand (or other arm components)...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320672/spatial-analysis-of-multichannel-surface-emg-in-hemiplegic-stroke
#13
Ghulam Rasool, Babak Afsharipour, Nina Suresh, William Z Rymer
We investigated spatial activation patterns of upper extremity muscles during isometric force generation in both intact persons and in hemispheric stroke survivors. We used a 128-channel surface electromyogram (EMG) grid to record the electrical activity of biceps brachii muscles during these contractions. EMG data were processed to develop 2-dimensional root mean square (RMS) maps of muscle activity. Our objective was to determine whether motor impairments following stroke were associated with changes in the muscle activity maps and in the spatial distribution of muscular activation...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320671/an-indoor-wayfinding-system-based-on-geometric-features-aided-graph-slam-for-the-visually-impaired
#14
He Zhang, Cang Ye
This paper presents a 6-DOF pose estimation (PE) method and an indoor wayfinding system based on the method for the visually impaired. The PE method involves two graph SLAM processes to reduce the accumulative pose error of the device. In the first step, the floor plane is extracted from the 3D camera's point cloud and added as a landmark node into the graph for 6-DOF SLAM to reduce roll, pitch and Z errors. In the second step, the wall lines are extracted and incorporated into the graph for 3-DOF SLAM to reduce X, Y and yaw errors...
March 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320670/bci-use-and-its-relation-to-adaptation-in-cortical-networks
#15
Kaitlyn Casimo, Kurt E Weaver, Jeremiah Wander, Jeffrey G Ojemann
Brain-computer interfaces (BCIs) carry great potential in the treatment of motor impairments. As a new motor output, BCIs interface with the native motor system, but acquisition of BCI proficiency requires a degree of learning to integrate this new function. In this review, we discuss how BCI designs often take advantage of the brain's motor system infrastructure as sources of command signals. We highlight a growing body of literature examining how this approach leads to changes in activity across cortex, including beyond motor regions, as a result of learning the new skill of BCI control...
March 13, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320669/regularized-speaker-adaptation-of-kl-hmm-for-dysarthric-speech-recognition
#16
Myungjong Kim, Younggwan Kim, Joohong Yoo, Jun Wang, Hoirin Kim
This paper addresses the problem of recognizing the speech uttered by patients with dysarthria, which is a motor speech disorder impeding the physical production of speech. Patients with dysarthria have articulatory limitation, and therefore, they often have trouble in pronouncing certain sounds, resulting in undesirable phonetic variation. Modern automatic speech recognition systems designed for regular speakers are ineffective for dysarthric sufferers due to the phonetic variation. To capture the phonetic variation, Kullback-Leibler divergence based hidden Markov model (KL-HMM) is adopted, where the emission probability of state is parametrized by a categorical distribution using phoneme posterior probabilities obtained from a deep neural network-based acoustic model...
March 13, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28287979/ankle-joint-intrinsic-dynamics-is-more-complex-than-a-mass-spring-damper-model
#17
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
#18
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
#19
Xuechen Huang, Kaihui Zheng, Sam Kohan, Petcharat May Denprasert, Limin Liao, Gerald E Loeb
We have developed a percutaneously implantable and wireless microstimulator (NuStim®) 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
#20
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
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