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https://www.readbyqxmd.com/read/28427422/differences-in-muscle-activity-and-temporal-step-parameters-between-lokomat-guided-walking-and-treadmill-walking-in-post-stroke-hemiparetic-patients-and-healthy-walkers
#1
Klaske van Kammen, Anne M Boonstra, Lucas H V van der Woude, Heleen A Reinders-Messelink, Rob den Otter
BACKGROUND: The Lokomat is a robotic exoskeleton that can be used to train gait function in hemiparetic stroke. To purposefully employ the Lokomat for training, it is important to understand (1) how Lokomat guided walking affects muscle activity following stroke and how these effects differ between patients and healthy walkers, (2) how abnormalities in the muscle activity of patients are modulated through Lokomat guided gait, and (3) how temporal step characteristics of patients were modulated during Lokomat guided walking...
April 20, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28412953/quantification-of-task-dependent-cortical-activation-evoked-by-robotic-continuous-wrist-joint-manipulation-in-chronic-hemiparetic-stroke
#2
Martijn P Vlaar, Teodoro Solis-Escalante, Julius P A Dewald, Erwin E H van Wegen, Alfred C Schouten, Gert Kwakkel, Frans C T van der Helm
BACKGROUND: Cortical damage after stroke can drastically impair sensory and motor function of the upper limb, affecting the execution of activities of daily living and quality of life. Motor impairment after stroke has been thoroughly studied, however sensory impairment and its relation to movement control has received less attention. Integrity of the somatosensory system is essential for feedback control of human movement, and compromised integrity due to stroke has been linked to sensory impairment...
April 17, 2017: Journal of Neuroengineering and Rehabilitation
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/28409112/plasticity-of-premotor-cortico-muscular-coherence-in-severely-impaired-stroke-patients-with-hand-paralysis
#4
Paolo Belardinelli, Leonard Laer, Erick Ortiz, Christoph Braun, Alireza Gharabaghi
Motor recovery in severely impaired stroke patients is often very limited. To refine therapeutic interventions for regaining motor control in this patient group, the functionally relevant mechanisms of neuronal plasticity need to be detected. Cortico-muscular coherence (CMC) may provide physiological and topographic insights to achieve this goal. Synchronizing limb movements to motor-related brain activation is hypothesized to reestablish cortico-motor control indexed by CMC. In the present study, right-handed, chronic stroke patients with right-hemispheric lesions and left hand paralysis participated in a four-week training for their left upper extremity...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28377451/reward-and-punishment-enhance-motor-adaptation-in-stroke
#5
Graziella Quattrocchi, Richard Greenwood, John C Rothwell, Joseph M Galea, Sven Bestmann
BACKGROUND AND OBJECTIVE: The effects of motor learning, such as motor adaptation, in stroke rehabilitation are often transient, thus mandating approaches that enhance the amount of learning and retention. Previously, we showed in young individuals that reward and punishment feedback have dissociable effects on motor adaptation, with punishment improving adaptation and reward enhancing retention. If these findings were able to generalise to patients with stroke, they would provide a way to optimise motor learning in these patients...
April 4, 2017: Journal of Neurology, Neurosurgery, and Psychiatry
https://www.readbyqxmd.com/read/28373860/advanced-myoelectric-control-for-robotic-hand-assisted-training-outcome-from-a-stroke-patient
#6
Zhiyuan Lu, Kai-Yu Tong, Henry Shin, Sheng Li, Ping Zhou
A hand exoskeleton driven by myoelectric pattern recognition was designed for stroke rehabilitation. It detects and recognizes the user's motion intent based on electromyography (EMG) signals, and then helps the user to accomplish hand motions in real time. The hand exoskeleton can perform six kinds of motions, including the whole hand closing/opening, tripod pinch/opening, and the "gun" sign/opening. A 52-year-old woman, 8 months after stroke, made 20× 2-h visits over 10 weeks to participate in robot-assisted hand training...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28372264/the-potential-of-irest-in-measuring-the-hand-function-performance-of-stroke-patients
#7
Hisyam Abdul Rahman, Kang Xiang Khor, Che Fai Yeong, Eileen Lee Ming Su, Aqilah Leela T Narayanan
BACKGROUND: Clinical scales such as Fugl-Meyer Assessment (FMA) and Motor Assessment Scale (MAS) are widely used to evaluate stroke patient's motor performance. However, there are several limitations with these assessment scales such as subjectivity, lack of repeatability, time-consuming and highly depend on the ability of the physiotherapy. In contrast, robot-based assessments are objective, repeatable, and could potentially reduce the assessment time. However, robot-based assessments are not as well established as conventional assessment scale and the correlation to conventional assessment scale is unclear...
2017: Bio-medical Materials and Engineering
https://www.readbyqxmd.com/read/28368083/-training-cortical-signals-by-means-of-a-bmi-eeg-system-its-evolution-and-intervention-a-case-report
#8
E Monge-Pereira, I Casatorres Perez-Higueras, P Fernandez-Gonzalez, J Ibanez-Pereda, J I Serrano, F Molina-Rueda
INTRODUCTION: In the last years, new technologies such as the brain-machine interfaces (BMI) have been incorporated in the rehabilitation process of subjects with stroke. These systems are able to detect motion intention, analyzing the cortical signals using different techniques such as the electroencephalography (EEG). This information could guide different interfaces such as robotic devices, electrical stimulation or virtual reality. CASE REPORT: A 40 years-old man with stroke with two months from the injury participated in this study...
April 16, 2017: Revista de Neurologia
https://www.readbyqxmd.com/read/28367834/electroencephalographic-identifiers-of-motor-adaptation-learning
#9
Ozan Ozdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Mujdat Cetin
OBJECTIVE: Recent brain-computer interface (BCI) assisted stroke rehabilitation protocols tend to focus on sensorimotor activity of the brain. Relying on evidence claiming that a variety of brain rhythms beyond sensorimotor areas are related to the extent of motor deficits, we propose to identify neural correlates of motor learning beyond sensorimotor areas spatially and spectrally for further use in novel BCI-assisted neurorehabilitation settings. APPROACH: Electroencephalographic (EEG) data were recorded from healthy subjects participating in a physical force-field adaptation task involving reaching movements through a robotic handle...
April 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28366070/application-of-emerging-technologies-to-improve-access-to-ischemic-stroke-care
#10
REVIEW
Shawn M Vuong, Christopher P Carroll, Ryan D Tackla, William J Jeong, Andrew J Ringer
During the past 20 years, the traditional supportive treatment for stroke has been radically transformed by advances in catheter technologies and a cohort of prominent randomized controlled trials that unequivocally demonstrated significant improvement in stroke outcomes with timely endovascular intervention. However, substantial limitations to treatment remain, among the most important being timely access to care. Nonetheless, stroke care has continued its evolution by incorporating technological advances from various fields that can further reduce patients' morbidity and mortality...
April 2017: Neurosurgical Focus
https://www.readbyqxmd.com/read/28366037/an-exploration-of-physiotherapists-experiences-of-robotic-therapy-in-upper-limb-rehabilitation-within-a-stroke-rehabilitation-centre
#11
Andrew Stephenson, John Stephens
PURPOSE: Strokes are the world's leading cause of adult disability, with movement impairment being more common in the upper limb (UL). Robotic therapy (RT) is identified as an effective adjunct to promote movement but with limited effect on functional capabilities. There is currently limited research in user experience of RT, specifically that of physiotherapists. This study sought to explore physiotherapists' experience of using RT in rehabilitation of the UL, within a stroke rehabilitation centre in the north of England...
April 1, 2017: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/28360842/neuroplastic-changes-following-brain-ischemia-and-their-contribution-to-stroke-recovery-novel-approaches-in-neurorehabilitation
#12
REVIEW
Claudia Alia, Cristina Spalletti, Stefano Lai, Alessandro Panarese, Giuseppe Lamola, Federica Bertolucci, Fabio Vallone, Angelo Di Garbo, Carmelo Chisari, Silvestro Micera, Matteo Caleo
Ischemic damage to the brain triggers substantial reorganization of spared areas and pathways, which is associated with limited, spontaneous restoration of function. A better understanding of this plastic remodeling is crucial to develop more effective strategies for stroke rehabilitation. In this review article, we discuss advances in the comprehension of post-stroke network reorganization in patients and animal models. We first focus on rodent studies that have shed light on the mechanisms underlying neuronal remodeling in the perilesional area and contralesional hemisphere after motor cortex infarcts...
2017: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/28335630/the-design-prototyping-and-formative-evaluation-of-an-assistive-robotic-table-art-for-stroke-patients
#13
Anthony L Threatt, Jessica Merino, Johnell O Brooks, Stan Healy, Constance Truesdail, Joseph Manganelli, Ian Walker, Keith Evan Green
OBJECTIVE: This article presents the results of an exploratory study in which 14 healthcare subject matter experts (H-SMEs) in addition to four research and design subject matter experts (RD-SMEs) at a regional rehabilitation hospital engaged in a series of complementary, participatory activities in order to design an assistive robotic table (ART). BACKGROUND: As designers, human factor experts, and healthcare professionals continue to work to integrate assistive human-robot technologies in healthcare, it is imperative to understand how the technology affects patient care from clinicians' perspectives...
April 2017: HERD
https://www.readbyqxmd.com/read/28329330/three-port-one-incision-plus-two-port-endoscopic-mitral-valve-surgery-without-robotic-assistance
#14
Toshiaki Ito, Atsuo Maekawa, Satoshi Hoshino, Yasunari Hayashi, Sadanari Sawaki, Junji Yanagisawa, Masayoshi Tokoro
OBJECTIVES: Totally endoscopic minimally invasive mitral valve surgery (MIMVS) is technically demanding and often performed with robotic assistance. We hypothesized that three-port video-assisted thoracic surgery (VATS) would facilitate endoscopic MIMVS and evaluated its feasibility and safety. METHODS: From October 2010 to June 2016, we performed first-time MIMVS in 250 consecutive patients (122 male), with median age of 65 years (54-73 years, 25-75 percentile)...
May 1, 2017: European Journal of Cardio-thoracic Surgery
https://www.readbyqxmd.com/read/28318816/use-of-electromyography-to-optimize-lokomat-%C3%A2-settings-for-subject-specific-gait-rehabilitation-in-post-stroke-hemiparetic-patients-a-proof-of-concept-study
#15
Yosra Cherni, Mickael Begon, Hicham Chababe, Florent Moissenet
OBJECTIVES: While generic protocols exist for gait rehabilitation using robotic orthotics such as the Lokomat(®), several settings - guidance, body-weight support (BWS) and velocity - may be adjusted to individualize patient training. However, no systematic approach has yet emerged. Our objective was to assess the feasibility and effects of a systematic approach based on electromyography to determine subject-specific settings with application to the strengthening of the gluteus maximus muscle in post-stroke hemiparetic patients...
March 16, 2017: Neurophysiologie Clinique, Clinical Neurophysiology
https://www.readbyqxmd.com/read/28287570/investigating-motor-skill-learning-processes-with-a-robotic-manipulandum
#16
Susan Leemburg, Maiko Iijima, Olivier Lambercy, Lauriane Nallet-Khosrofian, Roger Gassert, Andreas Luft
Skilled reaching tasks are commonly used in studies of motor skill learning and motor function under healthy and pathological conditions, but can be time-intensive and ambiguous to quantify beyond simple success rates. Here, we describe the training procedure for reach-and-pull tasks with ETH Pattus, a robotic platform for automated forelimb reaching training that records pulling and hand rotation movements in rats. Kinematic quantification of the performed pulling attempts reveals the presence of distinct temporal profiles of movement parameters such as pulling velocity, spatial variability of the pulling trajectory, deviation from midline, as well as pulling success...
February 12, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28278477/quantitative-eeg-for-predicting-upper-limb-motor-recovery-in-chronic-stroke-robot-assisted-rehabilitation
#17
Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic-Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this study, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery...
March 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269708/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#18
F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269582/progressive-abduction-loading-therapy-targeting-flexion-synergy-to-regain-reaching-function-in-chronic-stroke-preliminary-results-from-an-rct
#19
Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald
Reaching function is impaired following stroke due to abnormal coupling of shoulder abduction and elbow flexion. This phenomenon is commonly referred to as flexion synergy, loss of independent joint control, or impaired joint individuation. We have been successful in treating individuals with chronic stroke with moderate to severe motor impairments through the employment of targeted rehabilitation robotics and identified progressive abduction loading as a key element to the rehabilitation of reaching. Here we expand upon the investigation of progressive abduction loading therapy by testing two variants of the exercise in a larger sample and including a 3-month follow-up...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269581/exerciser-for-rehabilitation-of-the-arm-era-development-and-unique-features-of-a-3d-end-effector-robot
#20
Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud
Stroke is one of the leading causes of disability worldwide. Consequently, many stroke survivors exhibit difficulties undergoing voluntary movement in their affected upper limb, compromising their functional performance and level of independence. To minimize the negative impact of stroke disabilities, exercises are recognized as a key element in post-stroke rehabilitation. In order to provide the practice of exercises in a uniform and controlled manner as well as increasing the efficiency of therapists' interventions, robotic training has been found, and continues to prove itself, as an innovative intervention for post-stroke rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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