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robotics stroke

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
Mayumi Matsuda, Yuki Mataki, Hirotaka Mutsuzaki, Kenichi Yoshikawa, Kazushi Takahashi, Keiko Enomoto, Kumiko Sano, Masafumi Mizukami, Kazuhide Tomita, Haruka Ohguro, Nobuaki Iwasaki
[Purpose] Robot-assisted gait training (RAGT) using Hybrid Assistive Limb (HAL, CYBERDYNE) was previously reported beneficial for stroke and spinal cord injury patients. Here, we investigate the immediate effect of a single session of RAGT using HAL on gait function for cerebral palsy (CP) patients. [Subjects and Methods] Twelve patients (average age: 16.2 ± 7.3 years) with CP received a single session of RAGT using HAL. Gait speed, step length, cadence, single-leg support per gait cycle, hip and knee joint angle in stance, and swing phase per gait cycle were assessed before, during, and immediately after HAL intervention...
February 2018: Journal of Physical Therapy Science
Gianluca U Sorrento, Philippe S Archambault, Joyce Fung
BACKGROUND: Developing rehabilitation strategies to improve functional walking and postural control in patients is a priority for rehabilitation clinicians and researchers alike. One possible strategy is the use of sensory modalities to elicit adaptive locomotor gait patterns. This study aimed to explore to what extent haptic inputs, in the form of forward-leading tensile forces delivered to the hand, compared to no force, may lead to adaptation and post-adaptation effects on gait parameters, during and after the haptic exposure, respectively...
March 13, 2018: Journal of Neuroengineering and Rehabilitation
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
Danny Eizicovits, Yael Edan, Iris Tabak, Shelly Levy-Tzedek
BACKGROUND: Effective human-robot interactions in rehabilitation necessitates an understanding of how these should be tailored to the needs of the human. We report on a robotic system developed as a partner on a 3-D everyday task, using a gamified approach. OBJECTIVES: To: (1) design and test a prototype system, to be ultimately used for upper-limb rehabilitation; (2) evaluate how age affects the response to such a robotic system; and (3) identify whether the robot's physical embodiment is an important aspect in motivating users to complete a set of repetitive tasks...
2018: Restorative Neurology and Neuroscience
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
Alessandro Picelli, Elena Chemello, Paola Castellazzi, Mirko Filippetti, Annalisa Brugnera, Marialuisa Gandolfi, Andreas Waldner, Leopold Saltuari, Nicola Smania
BACKGROUND: Preliminary evidence showed additional effects of anodal transcranial direct current stimulation over the damaged cerebral hemisphere combined with cathodal transcutaneous spinal direct current stimulation during robot-assisted gait training in chronic stroke patients. This is consistent with the neural organization of locomotion involving cortical and spinal control. The cerebellum is crucial for locomotor control, in particular for avoidance of obstacles, and adaptation to novel conditions during walking...
2018: Restorative Neurology and Neuroscience
Edward P Washabaugh, Chandramouli Krishnan
BACKGROUND: Robotic-resisted treadmill walking is a form of task-specific training that has been used to improve gait function in individuals with neurological injury, such as stroke, spinal cord injury, or cerebral palsy. Traditionally, these devices use active elements (e.g., motors or actuators) to provide resistance during walking, making them bulky, expensive, and less suitable for overground or in-home rehabilitation. We recently developed a low-cost, wearable robotic brace that generates resistive torques across the knee joint using a simple magnetic brake...
2018: Restorative Neurology and Neuroscience
Mohsen Abedi, Majid M Moghaddam, Davoud Fallah
Since the past decade, rehabilitation robots have become common technologies for recovering gait ability after a stroke. Nevertheless, it is believed that these robots can be further enhanced. Hence, several researches are making progress in optimizing gait rehabilitation robots. However, most of these researches have only assessed the robots and their controllers in improving spatiotemporal and kinetic features of walking. There are not many researchers have focused on the robots' controllers' effects on the central nervous or neuromuscular systems...
March 5, 2018: Mathematical Biosciences
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
Ji Chen, Peter S Lum
BACKGROUND: Robotic devices for neurorehabilitation of movement impairments in persons with stroke have been studied extensively. However, the vast majority of these devices only allow practice of stereotyped components of simulated functional tasks in the clinic. Previously we developed SpringWear, a wearable, spring operated, upper extremity exoskeleton capable of assisting movements during real-life functional activities, potentially in the home. SpringWear assists shoulder flexion, elbow extension and forearm supination/pronation...
March 2, 2018: Journal of Neuroengineering and Rehabilitation
Min Hur, Seokha Yoo, Jung-Yoon Choi, Sun-Kyung Park, Dhong Eun Jung, Won Ho Kim, Jin-Tae Kim, Jae-Hyon Bahk
BACKGROUND: Dynamic change in central venous pressure (CVP) was associated with fluid responsiveness. External jugular venous pressure (EJVP) may reliably estimate CVP and have the advantages of being less invasive. We investigated whether increase in EJVP induced by positive end-expiratory pressure (PEEP) could be a reliable predictor of fluid responsiveness in patients undergoing robot-assisted laparoscopic prostatectomy (RALP). METHODS: Fifty patients who underwent RALP with steep Trendelenburg position were enrolled...
February 27, 2018: Journal of Anesthesia
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
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
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
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
Eric T Wolbrecht, Justin B Rowe, Vicky Chan, Morgan L Ingemanson, Steven C Cramer, David J Reinkensmeyer
OBJECTIVE: The goal of this study was to determine the relative contributions of finger weakness and reduced finger individuation to reduced hand function after stroke, and their association with corticospinal tract (CST) injury. METHODS: We measured individuated and synergistic maximum voluntary contractions (MVCs) of the index and middle fingers, in both flexion and extension, of 26 individuals with a chronic stroke using a robotic exoskeleton. We quantified finger strength and individuation, and defined a novel metric that combines them - "multifinger capacity"...
February 3, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Hongmiao Tian, Zhijian Wang, Yilong Chen, Jinyou Shao, Tong Gao, Shengqiang Cai
Optically-driven active materials have received much attention because their deformation and motion can be controlled remotely, instantly and precisely in a contactless way. In this article, we investigated an optically-actuated elastomer with rapid response: polydopamine (PDA)-coated liquid crystal elastomer (LCE). Due to the photothermal effect of PDA coating and thermal responsiveness of LCE, the elastomer film contracted significantly with near infrared (NIR) irradiation. With a fixed strain, light-induced actuating stress in the film could be as large as 1...
February 15, 2018: ACS Applied Materials & Interfaces
Yanhui Song, Susheng Zhou, Kaiyun Jin, Jian Qiao, Da Li, Chao Xu, Dongmei Hu, Jiangtao Di, Min Li, Zuoguang Zhang, Qingwen Li
Hybrid smart actuators fabricated using composites of carbon fibers and shape memory polymers have been extensively studied in recent years. However, relatively slow shape recovery has combined with the reset of shape deformation during cycles to restrict their practical use. An electrothermally reversible actuator based on carbon nanotube (CNT) composite yarn containing CNT fiber and thermoplastic polyurethane (TPU) resin with excellent shape memory was investigated in this paper. The combination of CNT yarn and TPU resin considerably amplified the contraction and stability...
February 12, 2018: Nanoscale
Megan E Lindsey, Christopher T Holley, Archana Ramaswamy, Rosemary F Kelly
We present the case of a patient presenting with embolic stroke secondary to aortic valve endocarditis, additionally complicated by splenic abscess, successfully treated by emergent valve replacement followed by delayed, robotic splenectomy.
September 2017: Journal of Surgical Case Reports
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