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Robotic Therapy Stroke

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https://www.readbyqxmd.com/read/28813937/towards-quantifying-dynamic-human-human-physical-interactions-for-robot-assisted-stroke-therapy
#1
Mayumi Mohan, Rochelle Mendonca, Michelle J Johnson
Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction...
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
#2
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/28813902/hybrid-position-and-orientation-tracking-for-a-passive-rehabilitation-table-top-robot
#3
K K Wojewoda, P R Culmer, J F Gallagher, A E Jackson, M C Levesley
This paper presents a real time hybrid 2D position and orientation tracking system developed for an upper limb rehabilitation robot. Designed to work on a table-top, the robot is to enable home-based upper-limb rehabilitative exercise for stroke patients. Estimates of the robot's position are computed by fusing data from two tracking systems, each utilizing a different sensor type: laser optical sensors and a webcam. Two laser optical sensors are mounted on the underside of the robot and track the relative motion of the robot with respect to the surface on which it is placed...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813897/design-and-testing-of-an-under-actuated-surface-emg-driven-hand-exoskeleton
#4
A Lince, N Celadon, A Battezzato, A Favetto, S Appendino, P Ariano, M Paleari
Stroke and other neurological pathologies are an increasing cause of hand impairment, involving expensive rehabilitative therapies. In this scenario, robotics applied to hand rehabilitation and assistance appears particularly promising in order to lower therapy costs and boost its efficacy. This work shows a recently conceived hand exoskeleton, from the design and realization to its preliminary evaluation. A control strategy based on surface electromyography (sEMG) signals is integrated: preliminary tests performed on healthy subjects show the validity of this choice...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813895/customized-therapy-using-distributions-of-reaching-errors
#5
Moria F Bittmann, James L Patton, Felix C Huang
While there has been recent success with robotic therapy approaches, individual differences in motor impairments motivate the need for customized therapy. Our latest work with healthy participants considered the likelihood of one's error to construct a customized force field training environment, which we termed an error field. We believe error statistics could characterize individual motor impairments for stroke survivors. Here we present preliminary results from a pilot study testing this therapy technique on individuals following stroke...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813890/online-adaptive-assistance-control-in-robot-based-neurorehabilitation-therapy
#6
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]
https://www.readbyqxmd.com/read/28813889/design-of-a-clinically-relevant-upper-limb-exoskeleton-robot-for-stroke-patients-with-spasticity
#7
Dong Jin Lee, Sung Jin Bae, Sung Ho Jang, Pyung Hun Chang
The purpose of this research is to propose a design of a clinically relevant upper-limb (hand, wrist, and elbow) exoskeleton that meets the clinical requirements. At first, the proposed robot was designed to have sufficient torque for passive exercise therapy and spasticity measurement of post-stroke patients with spasticity (grade 3 or lower in Modified Ashworth Scale). Because the therapy of patients with high level spasticity could be laborious for therapists by increased muscle tone, and the patients tend not to get enough rehabilitation treatment...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813888/fully-embedded-myoelectric-control-for-a-wearable-robotic-hand-orthosis
#8
Franziska Ryser, Tobias Butzer, Jeremia P Held, Olivier Lambercy, Roger Gassert
To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hospital. Robotic hand orthoses are a promising approach for home rehabilitation. When combined with intuitive control based on electromyography, the therapy outcome can be improved. However, such systems often require extensive cabling, experience in electrode placement and connection to external computers. This paper presents the framework for a stand-alone, fully wearable and real-time myoelectric intention detection system based on the Myo armband...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813881/simulation-of-variable-impedance-as-an-intervention-for-upper-extremity-motor-exploration
#9
Felix C Huang
Current methods in robot-assisted therapy are limited in providing predictions of the effectiveness of interventions. Our approach focuses on how robotic interaction can impact the distribution of movements expressed in the arm. Using data from a previous study with stroke survivors (n=10), we performed simulations to examine how changes in hand endpoint impedance would alter exploratory motion. We present methods for designing a custom training intervention, by relating the desired change in acceleration covariance in planar motion with a corresponding change in inertia matrix...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813878/randomized-sham-controlled-trial-based-on-transcranial-direct-current-stimulation-and-wrist-robot-assisted-integrated-treatment-on-subacute-stroke-patients-intermediate-results
#10
Stefano Mazzoleni, Vi Do Tran, Laura Iardella, Paolo Dario, Federico Posteraro
The main goal of this study is to analyse the effects of combined transcranial direct current stimulation (tDCS) and wrist robot-assisted therapy in subacute stroke patients. Twenty-four patients were included in this study and randomly assigned to the experimental (EG) or control group (CG). All participants performed wrist robot-assisted training a) in conjunction with tDCS (real stimulation for patients in EG) or b) without tDCS (sham stimulation for patients in CG). Clinical scales and kinematic parameters recorded by the robot were used for the assessment...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813874/effect-of-human-robot-interaction-on-muscular-synergies-on-healthy-people-and-post-stroke-chronic-patients
#11
A Scano, A Chiavenna, M Caimmi, M Malosio, L M Tosatti, F Molteni
Robot-assisted training is a widely used technique to promote motor re-learning on post-stroke patients that suffer from motor impairment. While it is commonly accepted that robot-based therapies are potentially helpful, strong insights about their efficacy are still lacking. The motor re-learning process may act on muscular synergies, which are groups of co-activating muscles that, being controlled as a synergic group, allow simplifying the problem of motor control. In fact, by coordinating a reduced amount of neural signals, complex motor patterns can be elicited...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813871/clinical-effectiveness-of-combined-virtual-reality-and-robot-assisted-fine-hand-motion-rehabilitation-in-subacute-stroke-patients
#12
Xianwei Huang, Fazel Naghdy, Golshah Naghdy, Haiping Du
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive rehabilitation training in restoring motor skills after a stroke. This study focuses on the rehabilitation of fine hand motion skills due to their vital role in performing delicate activities of daily living (ADL) tasks. The proposed rehabilitation system combines an adaptive assist-as-needed (AAN) control algorithm and a Virtual Reality (VR) based rehabilitation gaming system (RGS). The developed system is described and its effectiveness is validated through clinical trials on a group of eight subacute stroke patients for a period of six weeks...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813863/comparison-of-kinematic-and-emg-parameters-between-unassisted-fixed-and-adaptive-stiffness-robotic-assisted-ankle-movements-in-post-stroke-subjects
#13
Juan C Perez-Ibarra, Adriano A G Siqueira
In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provided by an ankle rehabilitation robot according to patient's participation and performance during therapeutic movements. We performed an error-based estimation of the ankle impedance as a valid measure of the patient participation. Then, we computed the amount of robotic assistance by three steps: normalization of the combined patient-robot stiffness, optimization of patientrobot interaction, and finally, adaptation of the level of the robotic assistance according to patient's performance while playing a serious game...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813815/how-do-strength-and-coordination-recovery-interact-after-stroke-a-computational-model-for-informing-robotic-training
#14
Sumner L Norman, Joan Lobo-Prat, David J Reinkensmeyer
Robotic devices can train strength, coordination, or a combination of both. If a robotic device focuses on coordination, what happens to strength recovery, and vice versa? Understanding this interaction could help optimize robotic training. We developed a computational neurorehabilitation model to gain insight into the interaction between strength and coordination recovery after stroke. In the model, the motor system recovers by optimizing the activity of residual corticospinal cells (focally connected, excitatory and inhibitory) and reticulospinal cells (diffusely connected and excitatory) to achieve a motor task...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813805/improving-robotic-stroke-rehabilitation-by-incorporating-neural-intent-detection-preliminary-results-from-a-clinical-trial
#15
Jennifer L Sullivan, Nikunj A Bhagat, Nuray Yozbatiran, Ruta Paranjape, Colin G Losey, Robert G Grossman, Jose L Contreras-Vidal, Gerard E Francisco, Marcia K O'Malley
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to the MAHI-Exo II, a robotic upper limb exoskeleton, for elbow flexion/extension rehabilitation in chronic stroke survivors. The BMI was used to trigger robot motion when movement intention was detected from subjects' neural signals, thus requiring that subjects be mentally engaged during robotic therapy. The first six subjects to complete the program have shown improvements in both Fugl-Meyer Upper-Extremity scores as well as in kinematic movement quality measures that relate to movement planning, coordination, and control...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813785/a-pilot-study-on-the-optimal-speeds-for-passive-wrist-movements-by-a-rehabilitation-robot-of-stroke-patients-a-functional-nirs-study
#16
Sung Jin Bae, Sung Ho Jang, Jeong Pyo Seo, Pyung Hun Chang
The optimal conditions inducing proper brain activation during performance of rehabilitation robots should be examined to enhance the efficiency of robot rehabilitation based on the concept of brain plasticity. In this study, we attempted to investigate differences in cortical activation according to the speeds of passive wrist movements performed by a rehabilitation robot for stroke patients. 9 stroke patients with right hemiparesis participated in this study. Passive movements of the affected wrist were performed by the rehabilitation robot at three different speeds: 0...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28804454/an-evaluation-of-the-design-and-usability-of-a-novel-robotic-bilateral-arm-rehabilitation-device-for-patients-with-stroke
#17
Yu-Cheng Pei, Jean-Lon Chen, Alice M K Wong, Kevin C Tseng
STUDY DESIGN: Case series. EVIDENCE LEVEL: IV (case series). INTRODUCTION: Robot-assisted therapy for upper limb rehabilitation is an emerging research topic and its design process must integrate engineering, neurological pathophysiology, and clinical needs. PURPOSE OF THE STUDY: This study developed/evaluated the usefulness of a novel rehabilitation device, the MirrorPath, designed for the upper limb rehabilitation of patients with hemiplegic stroke...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28803535/robotic-assistance-for-training-finger-movement-using-a-hebbian-model-a-randomized-controlled-trial
#18
Justin B Rowe, Vicky Chan, Morgan L Ingemanson, Steven C Cramer, Eric T Wolbrecht, David J Reinkensmeyer
BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance discourages effort and reduces motor learning. OBJECTIVE: To determine the therapeutic effects of high and low levels of robotic assistance during finger training. METHODS: We designed a protocol that varied the amount of robotic assistance while controlling the number, amplitude, and exerted effort of training movements...
August 2017: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/28728602/robot-assisted-training-for-the-upper-limb-after-stroke-ratuls-study-protocol-for-a-randomised-controlled-trial
#19
Helen Rodgers, Lisa Shaw, Helen Bosomworth, Lydia Aird, Natasha Alvarado, Sreeman Andole, David L Cohen, Jesse Dawson, Janet Eyre, Tracy Finch, Gary A Ford, Jennifer Hislop, Steven Hogg, Denise Howel, Niall Hughes, Hermano Igo Krebs, Christopher Price, Lynn Rochester, Elaine Stamp, Laura Ternent, Duncan Turner, Luke Vale, Elizabeth Warburton, Frederike van Wijck, Scott Wilkes
BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the protocol for a pragmatic, multicentre randomised controlled trial to determine whether robot-assisted training improves upper limb function following stroke. METHODS/DESIGN: Study design: a pragmatic, three-arm, multicentre randomised controlled trial, economic analysis and process evaluation. SETTING: NHS stroke services. PARTICIPANTS: adults with acute or chronic first-ever stroke (1 week to 5 years post stroke) causing moderate to severe upper limb functional limitation...
July 20, 2017: Trials
https://www.readbyqxmd.com/read/28719996/efficacy-of-short-term-robot-assisted-rehabilitation-in-patients-with-hand-paralysis-after-stroke-a-randomized-clinical-trial
#20
Jorge H Villafañe, Giovanni Taveggia, Silvia Galeri, Luciano Bissolotti, Chiara Mullè, Grace Imperio, Kristin Valdes, Alberto Borboni, Stefano Negrini
BACKGROUND: We evaluated the effectiveness of robot-assisted motion and activity in additional to physiotherapy (PT) and occupational therapy (OT) on stroke patients with hand paralysis. METHODS: A randomized controlled trial was conducted. Thirty-two patients, 34.4% female (mean ± SD age: 68.9 ± 11.6 years), with hand paralysis after stroke participated. The experimental group received 30 minutes of passive mobilization of the hand through the robotic device Gloreha (Brescia, Italy), and the control group received an additional 30 minutes of PT and OT for 3 consecutive weeks (3 d/wk) in addition to traditional rehabilitation...
February 1, 2017: Hand: Official Journal of the American Association for Hand Surgery
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