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Robotic Therapy Stroke

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https://www.readbyqxmd.com/read/29756513/self-directed-therapy-programmes-for-arm-rehabilitation-after-stroke-a-systematic-review
#1
Ruth H Da-Silva, Sarah A Moore, Christopher I Price
AIM: To investigate the effectiveness of self-directed arm interventions in adult stroke survivors. METHODS: A systematic review of Medline, EMBASE, CINAHL, SCOPUS and IEEE Xplore up to February 2018 was carried out. Studies of stroke arm interventions were included where more than 50% of the time spent in therapy was initiated and carried out by the participant. Quality of the evidence was assessed using the Cochrane risk of bias tool. RESULTS: A total of 40 studies ( n = 1172 participants) were included (19 randomized controlled trials (RCTs) and 21 before-after studies)...
May 1, 2018: Clinical Rehabilitation
https://www.readbyqxmd.com/read/29745594/-human-robot-global-simulink-modeling-and-analysis-for-an-end-effector-upper-limb-rehabilitation-robot
#2
Yali Liu, Linhong Ji
Robot rehabilitation has been a primary therapy method for the urgent rehabilitation demands of paralyzed patients after a stroke. The parameters in rehabilitation training such as the range of the training, which should be adjustable according to each participant's functional ability, are the key factors influencing the effectiveness of rehabilitation therapy. Therapists design rehabilitation projects based on the semiquantitative functional assessment scales and their experience. But these therapies based on therapists' experience cannot be implemented in robot rehabilitation therapy...
February 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29721009/biomarkers-of-rehabilitation-therapy-vary-according-to-stroke-severity
#3
Erin Burke Quinlan, Lucy Dodakian, Jill See, Alison McKenzie, Jill Campbell Stewart, Steven C Cramer
Biomarkers that capture treatment effects could improve the precision of clinical decision making for restorative therapies. We examined the performance of candidate structural, functional, and angiogenesis-related MRI biomarkers before and after a 3-week course of standardized robotic therapy in 18 patients with chronic stroke and hypothesized that results vary significantly according to stroke severity. Patients were 4.1 ± 1 months poststroke, with baseline arm Fugl-Meyer scores of 20-60. When all patients were examined together, no imaging measure changed over time in a manner that correlated with treatment-induced motor gains...
2018: Neural Plasticity
https://www.readbyqxmd.com/read/29675114/a-comparative-study-of-conventional-physiotherapy-versus-robot-assisted-gait-training-associated-to-physiotherapy-in-individuals-with-ataxia-after-stroke
#4
Marcia Belas Dos Santos, Clarissa Barros de Oliveira, Arly Dos Santos, Cristhiane Garabello Pires, Viviana Dylewski, Ricardo Mario Arida
Objectives: To assess the influence of RAGT on balance, coordination, and functional independence in activities of daily living of chronic stroke survivors with ataxia at least one year of injury. Methods: It was a randomized controlled trial. The patients were allocated to either therapist-assisted gait training (TAGT) or robotic-assisted gait training (RAGT). Both groups received 3 weekly sessions of physiotherapy with an estimated duration of 60 minutes each and prescribed home exercises...
2018: Behavioural Neurology
https://www.readbyqxmd.com/read/29666575/combining-mental-training-and-physical-training-with-goal-oriented-protocols-in-stroke-rehabilitation-a-feasibility-case-study
#5
Xin Zhang, Ahmed M Elnady, Bubblepreet K Randhawa, Lara A Boyd, Carlo Menon
Stroke is one of the leading causes of permanent disability in adults. The literature suggests that rehabilitation is key to early motor recovery. However, conventional therapy is labor and cost intensive. Robotic and functional electrical stimulation (FES) devices can provide a high dose of repetitions and as such may provide an alternative, or an adjunct, to conventional rehabilitation therapy. Brain-computer interfaces (BCI) could augment neuroplasticity by introducing mental training. However, mental training alone is not enough; but combining mental with physical training could boost outcomes...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29660947/effects-of-walkbot-gait-training-on-kinematics-kinetics-and-clinical-gait-function-in-paraplegia-and-quadriplegia
#6
Jongseok Hwang, Yongil Shin, Ji-Ho Park, Young Joo Cha, Joshua Sung H You
BACKGROUND: The robotic-assisted gait training (RAGT) system has gained recognition as an innovative, effective paradigm to improve functional ambulation and activities of daily living in spinal cord injury and stroke. However, the effects of the Walkbot robotic-assisted gait training system with a specialized hip-knee-ankle actuator have never been examined in the paraplegia and quadriplegia population. OBJECTIVE: The aim of this study was to determine the long-term effects of Walkbot training on clinical for hips and knee stiffness in individuals with paraplegia or quadriplegia...
April 7, 2018: NeuroRehabilitation
https://www.readbyqxmd.com/read/29628911/estimation-of-muscle-force-based-on-neural-drive-in-a-hemispheric-stroke-survivor
#7
Chenyun Dai, Yang Zheng, Xiaogang Hu
Robotic assistant-based therapy holds great promise to improve the functional recovery of stroke survivors. Numerous neural-machine interface techniques have been used to decode the intended movement to control robotic systems for rehabilitation therapies. In this case report, we tested the feasibility of estimating finger extensor muscle forces of a stroke survivor, based on the decoded descending neural drive through population motoneuron discharge timings. Motoneuron discharge events were obtained by decomposing high-density surface electromyogram (sEMG) signals of the finger extensor muscle...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29625628/advanced-robotic-therapy-integrated-centers-artic-an-international-collaboration-facilitating-the-application-of-rehabilitation-technologies
#8
Hubertus J A van Hedel, Giacomo Severini, Alessandra Scarton, Anne O'Brien, Tamsin Reed, Deborah Gaebler-Spira, Tara Egan, Andreas Meyer-Heim, Judith Graser, Karen Chua, Daniel Zutter, Raoul Schweinfurther, J Carsten Möller, Liliana P Paredes, Alberto Esquenazi, Steffen Berweck, Sebastian Schroeder, Birgit Warken, Anne Chan, Amber Devers, Jakub Petioky, Nam-Jong Paik, Won-Seok Kim, Paolo Bonato, Michael Boninger
BACKGROUND: The application of rehabilitation robots has grown during the last decade. While meta-analyses have shown beneficial effects of robotic interventions for some patient groups, the evidence is less in others. We established the Advanced Robotic Therapy Integrated Centers (ARTIC) network with the goal of advancing the science and clinical practice of rehabilitation robotics. The investigators hope to exploit variations in practice to learn about current clinical application and outcomes...
April 6, 2018: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/29619890/evolution-of-upper-limb-kinematics-four-years-after-subacute-robot-assisted-rehabilitation-in-stroke-patients
#9
Ophélie Pila, Christophe Duret, Jean-Michel Gracies, Gerard E Francisco, Nicolas Bayle, Émilie Hutin
PURPOSE: To assess functional status and robot-based kinematic measures four years after subacute robot-assisted rehabilitation in hemiparesis. MATERIAL AND METHODS: Twenty-two patients with stroke-induced hemiparesis participated in a ≥3-month upper limb combined program of robot-assisted and occupational therapy from two months post-stroke, and received community-based therapy after discharge. Four years later, nineteen (86%) participated in this long-term follow-up study...
April 5, 2018: International Journal of Neuroscience
https://www.readbyqxmd.com/read/29588227/resting-state-functional-connectivity-predicts-the-ability-to-adapt-to-robot-mediated-force-fields
#10
Irene Faiman, Sara Pizzamiglio, Duncan L Turner
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such treatment. Spontaneous neural activity has been observed to predict differences in the ability to learn a new motor behaviour in both healthy and stroke populations. This study investigated whether spontaneous resting-state functional connectivity could predict the degree of motor adaptation of right (dominant) upper limb reaching in response to a robot-mediated force field...
March 24, 2018: NeuroImage
https://www.readbyqxmd.com/read/29562554/comparative-effects-of-robotic-assisted-gait-training-combined-with-conventional-physical-therapy-on-paretic-hip-joint-stiffness-and-kinematics-between-subacute-and-chronic-hemiparetic-stroke
#11
Ji-Ho Park, Yong-Il Shin, Joshua Sung H You, Min Su Park
BACKGROUND: Robotic-assisted gait training (RAGT) has been proposed as a novel, promising intervention paradigm to improve gait function in subacute or chronic stroke neurorehabilitation. However, the benefits of RAGT combined with conventional physical therapy for gait recovery in patients with subacute and chronic hemiparetic stroke remain unclear. OBJECTIVES: The aim of the present study was to compare the effect of RAGT combine with conventional physical therapy on hip joint kinetics, kinematics, and clinical function characteristics between subacute and chronic hemiparetic stroke...
2018: NeuroRehabilitation
https://www.readbyqxmd.com/read/29551960/reshaping-of-gait-coordination-by-robotic-intervention-in-myelopathy-patients-after-surgery
#12
Sandra Puentes, Hideki Kadone, Shigeki Kubota, Tetsuya Abe, Yukiyo Shimizu, Aiki Marushima, Yoshiyuki Sankai, Masashi Yamazaki, Kenji Suzuki
The Ossification of the Posterior Longitudinal Ligament (OPLL) is an idiopathic degenerative spinal disease which may cause motor deficit. For patients presenting myelopathy or severe stenosis, surgical decompression is the treatment of choice; however, despite adequate decompression residual motor impairment is found in some cases. After surgery, there is no therapeutic approach available for this population. The Hybrid Assistive Limb® (HAL) robot suit is a unique powered exoskeleton designed to predict, support, and enhance the lower extremities performance of patients using their own bioelectric signals...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29546057/systematic-review-of-appropriate-robotic-intervention-for-gait-function-in-subacute-stroke-patients
#13
REVIEW
Ji-Eun Cho, Jun Sang Yoo, Kyoung Eun Kim, Sung Tae Cho, Woo Seok Jang, Ki Hun Cho, Wan-Hee Lee
The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RAGT) on gait-related function in patients with acute/subacute stroke. We conducted a systematic review of randomized controlled trials published between May 2012 and April 2016. This search included 334 articles (Cochrane, 51 articles; Embase, 175 articles; PubMed, 108 articles). Based on the inclusion and exclusion criteria, 7 studies were selected for this review. We performed a quality evaluation using the PEDro scale...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29534448/measurements-by-a-leap-based-virtual-glove-for-the-hand-rehabilitation
#14
Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli, Matteo Spezialetti
Hand rehabilitation is fundamental after stroke or surgery. Traditional rehabilitation requires a therapist and implies high costs, stress for the patient, and subjective evaluation of the therapy effectiveness. Alternative approaches, based on mechanical and tracking-based gloves, can be really effective when used in virtual reality (VR) environments. Mechanical devices are often expensive, cumbersome, patient specific and hand specific, while tracking-based devices are not affected by these limitations but, especially if based on a single tracking sensor, could suffer from occlusions...
March 10, 2018: Sensors
https://www.readbyqxmd.com/read/29526861/clinical-features-of-patients-who-might-benefit-more-from-walking-robotic-training
#15
Giovanni Morone, Stefano Masiero, Paola Coiro, Domenico De Angelis, Vincenzo Venturiero, Stefano Paolucci, Marco Iosa
BACKGROUND: Robotic walking training improves probability to reach an autonomous walking in non-ambulant patients affected by subacute stroke. However, little information is available regarding the prognostic factors for identifying best responder patients. The purpose of the present study is therefore to investigate the clinical features of patients with subacute stroke that might benefit more from robotic walking therapy. METHODS: One hundred subacute inpatients randomized in robotic or conventional gait training were assessed at baseline and after 4 weeks of training performed 5 times per week...
2018: Restorative Neurology and Neuroscience
https://www.readbyqxmd.com/read/29515514/progressive-abduction-loading-therapy-with-horizontal-plane-viscous-resistance-targeting-weakness-and-flexion-synergy-to-treat-upper-limb-function-in-chronic-hemiparetic-stroke-a-randomized-clinical-trial
#16
Michael D Ellis, Carolina Carmona, Justin Drogos, Julius P A Dewald
Background: Progressive abduction loading therapy has emerged as a promising exercise therapy in stroke rehabilitation to systematically target the loss of independent joint control (flexion synergy) in individuals with chronic moderate/severe upper-extremity impairment. Preclinical investigations have identified abduction loading during reaching exercise as a key therapeutic factor to improve reaching function. An augmentative approach may be to additionally target weakness by incorporating resistance training to increase constitutive joint torques of reaching with the goal of improving reaching function by "overpowering" flexion synergy...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29481376/neural-decoding-of-robot-assisted-gait-during-rehabilitation-after-stroke
#17
Jose L Contreras-Vidal, Magdo Bortole, Fangshi Zhu, Kevin Nathan, Anusha Venkatakrishnan, Gerard E Francisco, Rogelio Soto, Jose L Pons
OBJECTIVE: Advancements in robot-assisted gait rehabilitation and brain-machine interfaces (BMI) may enhance stroke physiotherapy by engaging patients while providing information about robot-induced cortical adaptations. We investigate the feasibility of decoding walking from brain activity in stroke survivors during therapy using a powered exoskeleton integrated with an electroencephalography (EEG)-based BMI. DESIGN: The H2 powered exoskeleton was designed for overground gait training with actuated hip, knee and ankle joints...
February 23, 2018: American Journal of Physical Medicine & Rehabilitation
https://www.readbyqxmd.com/read/29466440/predictors-of-activities-of-daily-living-outcomes-after-upper-limb-robot-assisted-therapy-in-subacute-stroke-patients
#18
Marco Franceschini, Michela Goffredo, Sanaz Pournajaf, Stefano Paravati, Maurizio Agosti, Francesco De Pisi, Daniele Galafate, Federico Posteraro
BACKGROUND: Upper limb recovery is one of the main goals of post-stroke rehabilitation due to its importance for autonomy in Activities of Daily Living (ADL). Although the efficacy of upper limb Robot-assisted Therapy (RT) is well established in literature, the impact of the initial status of the patient on the effects of RT is still understudied. This paper aims to identify whether demographic, clinical and motor characteristics of stroke patients may influence the ability to independently perform ADL after RT...
2018: PloS One
https://www.readbyqxmd.com/read/29465895/-clinical-neurophysiological-methods-in-diagnosis-and-treatment-of-cerebrovascular-diseases
#19
REVIEW
Ildikó Nagy, Dániel Fabó
Neurophysiological methods are gaining ground in the diagnosis and therapy of cerebrovascular disease. While the role of the EEG (electroencephalography) in the diagnosis of post-stroke epilepsy is constant, quantitative EEG para-meters, as new indicators of early efficiency after thrombolysis or in prognosis of patient's condition have proved their effectiveness in several clinical studies. In intensive care units, continuous EEG monitoring of critically ill patients became part of neurointenzive care protocols...
January 30, 2018: Ideggyógyászati Szemle
https://www.readbyqxmd.com/read/29458397/human-arm-joints-reconstruction-algorithm-in-rehabilitation-therapies-assisted-by-end-effector-robotic-devices
#20
Arturo Bertomeu-Motos, Andrea Blanco, Francisco J Badesa, Juan A Barios, Loredana Zollo, Nicolas Garcia-Aracil
BACKGROUND: End-effector robots are commonly used in robot-assisted neuro-rehabilitation therapies for upper limbs where the patient's hand can be easily attached to a splint. Nevertheless, they are not able to estimate and control the kinematic configuration of the upper limb during the therapy. However, the Range of Motion (ROM) together with the clinical assessment scales offers a comprehensive assessment to the therapist. Our aim is to present a robust and stable kinematic reconstruction algorithm to accurately measure the upper limb joints using only an accelerometer placed onto the upper arm...
February 20, 2018: Journal of Neuroengineering and Rehabilitation
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