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https://www.readbyqxmd.com/read/28814055/twiice-a-lightweight-lower-limb-exoskeleton-for-complete-paraplegics
#1
Tristan Vouga, Romain Baud, Jemina Fasola, Mohamed Bouri, Hannes Bleuler
This paper introduces TWIICE, a lower-limb exoskeleton that enables people suffering from complete paraplegia to stand up and walk again. TWIICE provides complete mobilization of the lower-limbs, which is a first step toward enabling the user to regain independence in activities of the daily living. The tasks it can perform include level and inclined walking (up to 20° slope), stairs ascent and descent, sitting on a seat, and standing up. Participation in the world's first Cybathlon (Zurich, 2016) demonstrated good performance at these demanding tasks...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814040/training-wrist-extensor-function-and-detecting-unwanted-movement-strategies-in-an-emg-controlled-visuomotor-task
#2
Mingxing Lyu, Charles Lambelet, Daniel Woolley, Xue Zhang, Weihai Chen, Xilun Ding, Roger Gassert, Nicole Wenderoth
Stroke patients often suffer from severe upper limb paresis. Rehabilitation treatment typically targets motor impairments as early as possible, however, muscular contractions, particularly in the wrist and fingers, are often too weak to produce overt movements, making the initial phase of rehabilitation training difficult. Here we propose a new training tool whereby electromyographic (EMG) activity is measured in the wrist extensors and serves as a proxy of voluntary corticomotor drive. We used the Myo armband to develop a proportional EMG controller which allowed volunteers to perform a simple visuomotor task by modulating wrist extensor activity...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814035/decoding-of-individual-finger-movements-from-surface-emg-signals-using-vector-autoregressive-hierarchical-hidden-markov-models-varhhmm
#3
Nebojsa Malesevic, Dimitrije Markovic, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk
In this paper we present a novel method for predicting individual fingers movements from surface electromyography (EMG). The method is intended for real-time dexterous control of a multifunctional prosthetic hand device. The EMG data was recorded using 16 single-ended channels positioned on the forearm of healthy participants. Synchronously with the EMG recording, the subjects performed consecutive finger movements based on the visual cues. Our algorithm could be described in following steps: extracting mean average value (MAV) of the EMG to be used as the feature for classification, piece-wise linear modeling of EMG feature dynamics, implementation of hierarchical hidden Markov models (HHMM) to capture transitions between linear models, and implementation of Bayesian inference as the classifier...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814032/studying-the-implementation-of-iterative-impedance-control-for-assistive-hand-rehabilitation-using-an-exoskeleton
#4
T Martineau, R Vaidyanathan
A positive training synergy can be obtained when two individuals attempt to learn the same motor task while mechanically coupled to one another. In this paper, we have studied how mimicking this interaction through impedance control can be exploited to improve assistance delivered by hand exoskeleton devices during rehabilitation. In this context, the machine and user take complementary roles akin to two coupled individuals. We present the derivation of a dynamic model of the human hand for the purpose of controller development for new hand exoskeleton platforms...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814029/vibrotactile-feedback-to-control-the-amount-of-weight-shift-during-walking-a-first-step-towards-better-control-of-an-exoskeleton-for-spinal-cord-injury-subjects
#5
Heidi J B Muijzer-Witteveen, Sara Nataletti, Martina Agnello, Maura Casadio, Edwin H F van Asseldonk
People with Spinal Cord Injury do not only lack the ability to control their muscles, but also miss the sensory information from below the level of their lesion. Therefore, it may become difficult for them to perceive the state of the body during walking, which is however often used to control wearable exoskeletons. In the present study the possibilities of providing vibrotactile feedback about the Center of Mass (CoM) during walking were investigated. The results showed that healthy subjects could successfully interpret the provided vibrotactile cues and change their walking pattern accordingly...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814019/stiffness-control-of-a-nylon-twisted-coiled-actuator-for-use-in-mechatronic-rehabilitation-devices
#6
Brandon P R Edmonds, Ana Luisa Trejos
Mechatronic rehabilitation devices, especially wearables, have been researched extensively and proven to be promising additions to physical therapy, but most designs utilize traditional actuators providing unnatural, robot-like movements. Therefore, many researchers have focused on the development of actuators that mimic biological properties to provide patients with improved results, safety, and comfort. Recently, a twisted-coiled actuator (TCA) made from nylon thread has been found to possess many of these important properties when heated, such as variable stiffness, flexibility, and high power density...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814006/development-and-evaluation-of-a-method-to-measure-wrist-range-of-motion-on-paretic-hand-rehabilitation-device
#7
Jung-Yeon Kim, Hyun-Seok Sung, Youn-Kyung Kang, Igor Gaponov, Bong-Keun Jung
This paper presents the development of wrist ROM measurement system that was implemented on a rehabilitation glove for paretic hand, Easy-Flex, using a rotary potentiometer. This approach enables the device to measure the angles of up to 80° with the approximate resolution of 0.1°. The method along with a universal goniometer and a smartphone clinometer application were tested on 17 healthy participants in terms of reliability. The three instruments were able to accurately measure three different angles (flexion: -10°, neutral: 0°, and extension: 20°) with measurement errors less than 2(°)...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814001/design-of-an-energy-efficient-transfemoral-prosthesis-using-lockable-parallel-springs-and-electrical-energy-transfer
#8
Francois Heremans, Renaud Ronsse
Over the last decade, active lower-limb prostheses demonstrated their ability to restore a normal gait for transfemoral amputees by supplying the required positive energy balance [1]. However, the added-value of such devices is significantly impacted by their limited energetic autonomy preventing their full appropriation by the patients. There is thus a strong incentive to reduce the overall power consumption of active prostheses. Addressing this need requires to revisit the electromechanical design. For both the ankle and the knee, the present paper demonstrates that both the use of a lockable parallel spring and the transfer of electrical energy between joints can significantly improve the energetic performance for overground walking...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814000/preliminary-study-of-a-robotic-foot-ankle-prosthesis-with-active-alignment
#9
Andrew K LaPre, Ryan D Wedge, Brian R Umberger, Frank C Sup
Robotic prosthetic foot-ankle prostheses typically aim to replace the lost joint with revolute joints aimed at replicating normal joint biomechanics. In this paper, a previously developed robotic ankle prosthesis with active alignment is evaluated. It uses a four-bar mechanism to inject positive power into the gait cycle while altering the kinematics of the ankle joint and pylon segment to reduce loading on the residual limb. In a single-subject biomechanics analysis, there was a 10% reduction in peak limb pressures and evidence of greater gait symmetry in ground reaction forces when active alignment was implemented compared to walking with the daily use prosthesis...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813998/joint-stiffness-modulation-of-compliant-actuators-for-lower-limb-exoskeletons
#10
Jose Gonzalez-Vargas, Shingo Shimoda, Guillermo Asin-Prieto, Jose L Pons, Juan C Moreno
Lower limb exoskeletons are being used to assist people with movement disorders during activities of daily living or rehabilitation. However, providing a natural interface that automatically adapts to the patient's movement limitations remains an open challenge. In this paper, we present a control implementation that combines a compliant actuator technology with the concept of tacit learning to improve the synchronisation between the exoskeleton and the user during locomotion. We show that this implementation can be effectively used to easily modulate the joint stiffness that is perceived by the user during locomotion...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813997/dynamic-elasticity-measurement-for-prosthetic-socket-design
#11
Yujin Kim, Junghoon Kim, Hyeryon Son, Youngjin Choi
The paper proposes a novel apparatus to measure the dynamic elasticity of human limb in order to help the design and fabrication of the personalized prosthetic socket. To take measurements of the dynamic elasticity, the desired force generated as an exponential chirp signal in which the frequency increases and amplitude is maintained according to time progress is applied to human limb and then the skin deformation is recorded, ultimately, to obtain the frequency response of its elasticity. It is referred to as a Dynamic Elasticity Measurement Apparatus (DEMA) in the paper...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813982/validation-of-a-constrained-time-movement-task-for-use-in-rehabilitation-outcome-measures
#12
Daniel H Blustein, Jonathon W Sensinger
Current motor assessment tools can provide numerical indicators of performance but do not provide actionable information to target further improvement in rehabilitation interventions. Psychophysics-based outcome measures show promise to provide more useful information in the laboratory environment but have been limited in clinical implementation. Here we present a constrained-time task to assess paced and non-rhythmic movements. The task's output metrics include trial-by-trial adaptation rate and the just noticeable difference of a perturbation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813976/megane-pro-myo-electricity-visual-and-gaze-tracking-data-acquisitions-to-improve-hand-prosthetics
#13
Francesca Giordaniello, Matteo Cognolato, Mara Graziani, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Peter Brugger, Barbara Caputo, Henning Muller, Manfredo Atzori
During the past 60 years scientific research proposed many techniques to control robotic hand prostheses with surface electromyography (sEMG). Few of them have been implemented in commercial systems also due to limited robustness that may be improved with multimodal data. This paper presents the first acquisition setup, acquisition protocol and dataset including sEMG, eye tracking and computer vision to study robotic hand control. A data analysis on healthy controls gives a first idea of the capabilities and constraints of the acquisition procedure that will be applied to amputees in a next step...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813964/brain-computer-interface-combining-eye-saccade-two-electrode-eeg-signals-and-voice-cues-to-improve-the-maneuverability-of-wheelchair
#14
Ker-Jiun Wang, Lan Zhang, Bo Luan, Hsiao-Wei Tung, Quanfeng Liu, Jiacheng Wei, Mingui Sun, Zhi-Hong Mao
Brain-computer interfaces (BCIs) largely augment human capabilities by translating brain wave signals into feasible commands to operate external devices. However, many issues face the development of BCIs such as the low classification accuracy of brain signals and the tedious human-learning procedures. To solve these problems, we propose to use signals associated with eye saccades and blinks to control a BCI interface. By extracting existing physiological eye signals, the user does not need to adapt his/her brain waves to the device...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813953/bridge-behavioural-reaching-interfaces-during-daily-antigravity-activities-through-upper-limb-exoskeleton-preliminary-results
#15
Marta Gandolla, Andrea Costa, Lorenzo Aquilante, Margit Gfoehler, Markus Puchinger, Francesco Braghin, Alessandra Pedrocchi
People with neuromuscular diseases such as muscular dystrophy experience a distributed and evolutive weakness in the whole body. Recent technological developments have changed the daily life of disabled people strongly improving the perceived quality of life, mostly concentrating on powered wheelchairs, so to assure autonomous mobility and respiratory assistance, essential for survival. The key concept of the BRIDGE project is to contrast the everyday experience of losing functions by providing them of a system able to exploit the best their own residual capabilities in arm movements so to keep them functional and autonomous as much as possible...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813931/making-neurorehabilitation-fun-multiplayer-training-via-damping-forces-balancing-differences-in-skill-levels
#16
Kilian Baur, Peter Wolf, Robert Riener, Jaime E Duarte
Multiplayer environments are thought to increase the training intensity in robot-aided rehabilitation therapy after stroke. We developed a haptic-based environment to investigate the dynamics of two-player training performing time-constrained reaching movements using the ARMin rehabilitation robot. We implemented a challenge level adaptation algorithm that controlled a virtual damping coefficient to reach a desired success rate. We tested the algorithm's effectiveness in regulating the success rate during game play in a simulation with computer-controlled players, in a feasibility study with six unimpaired players, and in a single session with one stroke patient...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813925/stereo-3d-tracking-of-infants-in-natural-play-conditions
#17
Shreyas S Shivakumar, Helen Loeb, Daniel K Bogen, Frances Shofer, Phillip Bryant, Laura Prosser, Michelle J Johnson
This paper describes the design and implementation of a multiple view stereoscopic 3D vision system and a supporting infant tracker pipeline to track limb movement in natural play environments and identify potential metrics to quantify movement behavior. So far, human pose estimation and tracking with 3D cameras has been focused primarily on adults and cannot be directly extended to infants because of differences in visual features such as shapes, sizes and appearance. With rehabilitation in mind, we propose a portable, compact, markerless, low cost and high resolution 3D vision system and a tracking algorithm that exploits infant appearance attributes and depth information...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813924/probabilistic-vs-linear-blending-approaches-to-shared-control-for-wheelchair-driving
#18
Chinemelu Ezeh, Pete Trautman, Louise Devigne, Valentin Bureau, Marie Babel, Tom Carlson
Some people with severe mobility impairments are unable to operate powered wheelchairs reliably and effectively, using commercially available interfaces. This has sparked a body of research into "smart wheelchairs", which assist users to drive safely and create opportunities for them to use alternative interfaces. Various "shared control" techniques have been proposed to provide an appropriate level of assistance that is satisfactory and acceptable to the user. Most shared control techniques employ a traditional strategy called linear blending (LB), where the user's commands and wheelchair's autonomous commands are combined in some proportion...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813892/comparison-of-two-difficulty-adaptation-strategies-for-competitive-arm-rehabilitation-exercises
#19
Maja Gorsic, Ali Darzi, Domen Novak
This paper presents two different strategies for difficulty adaptation in a competitive arm rehabilitation game: a manual adaptation strategy and an automatic performance-based adaptation strategy. The two strategies were implemented in a competitive game controlled with an inertial-sensor-based home rehabilitation device. They were first evaluated with 32 pairs of unimpaired participants, who played the game with manual adaptation, automated adaptation, or no adaptation. Each variant was played for 9 minutes...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813890/online-adaptive-assistance-control-in-robot-based-neurorehabilitation-therapy
#20
Fabio Stroppa, Simone Marcheschi, Nicola Mastronicola, Claudio Loconsole, Antonio Frisoli
Repetitive and task specific robot-based rehabilitation has been proved to be effective for motor recovery over time. During a therapy, the task should improve subject's impaired movements, but also enhance their efforts for a more effective recovery. This requires an accurate tuning of the task difficulty, which should be tailored directly to the patient. In this work, we propose a system for real-time assistance adaptation based on online performance evaluation for post-stroke subjects. In particular, the aim of the system is to implement the "assist-as-needed" paradigm based on actual patients' motor skills during a therapy session with an active upper-limb robotic exoskeleton...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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