Results 81 to 90 of about 19,222 (300)

Effect of Caregiver Driven Robot-Assisted In-Ward Training in Subacute Stroke Patients: A Case Series [PDF]

Annals of Rehabilitation Medicine, 2018
ObjectiveTo evaluate the effect of caregiver driven robot-assisted in-ward training in subacute stroke patients.MethodsA retrospective evaluation was performed for patients treated with caregiver driven robot-assisted in-ward training to retain gait ...
Sang Beom Kim, Kyeong Woo Lee, Jong Hwa Lee, Sook Joung Lee, Jin Gee Park, Joo Won Park   +5 more
doaj   +1 more source

Human-In-the-loop Optimisation in Robot-Assisted Gait Training

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Wearable robots offer a promising solution for quantitatively monitoring gait and providing systematic, adaptive assistance to promote patient independence and improve gait. However, due to significant interpersonal and intrapersonal variability in walking patterns, it is important to design robot controllers that can adapt to the unique ...
Andreas Christou, Andreas Sochopoulos, Elliot Lister, Sethu Vijayakumar   +3 more
openaire   +2 more sources

Robotic-Assisted Gait Training (RAGT) in Stroke Rehabilitation: A Pilot Study

Archives of Rehabilitation Research and Clinical Translation, 2023
To compare the effects of 2 types of robotic-assisted gait training (RAGT) devices that have been used in stroke rehabilitation.Retrospective cohort.Rehabilitation hospital.24 community dwelling people with stroke (N=24).RAGT with either an exoskeleton (Lokomat) (mean age=53.8 years; 30% men; mean duration of stroke =17.8 months) or an end-effector (G ...
Mariana Vita Milazzotto Neves, Leonardo Furlan, Felipe Fregni, Linamara Rizzo Battistella, Marcel Simis   +4 more
openaire   +3 more sources

Video_8_A novel gait analysis system for detecting abnormal hemiparetic gait patterns during robot-assisted gait training: A criterion validity study among healthy adults.mp4

, 2022
IntroductionRobot-assisted gait training has been reported to improve gait in individuals with hemiparetic stroke. Ideally, the gait training program should be customized based on individuals’ gait characteristics and longitudinal changes.
Satoshi Hirano (443831), Eiichi Saitoh (2339875), Yohei Otaka (6846122), Daisuke Imoto (11269248), Masahiko Mukaino (369366)   +4 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Video_9_A novel gait analysis system for detecting abnormal hemiparetic gait patterns during robot-assisted gait training: A criterion validity study among healthy adults.mp4

, 2022
IntroductionRobot-assisted gait training has been reported to improve gait in individuals with hemiparetic stroke. Ideally, the gait training program should be customized based on individuals’ gait characteristics and longitudinal changes.
Satoshi Hirano (443831), Eiichi Saitoh (2339875), Yohei Otaka (6846122), Daisuke Imoto (11269248), Masahiko Mukaino (369366)   +4 more
core   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Robot-Assisted Stair Climbing Training on Postural Control and Sensory Integration Processes in Chronic Post-stroke Patients: A Randomized Controlled Clinical Trial

Frontiers in Neuroscience, 2019
BackgroundPostural control disturbances are one of the important causes of disability in stroke patients affecting balance and mobility. The impairment of sensory input integration from visual, somatosensory and vestibular systems contributes to postural
Marialuisa Gandolfi, Marialuisa Gandolfi, Nicola Valè, Nicola Valè, Eleonora Dimitrova, Eleonora Dimitrova, Maria Elisabetta Zanolin, Nicola Mattiuz, Nicola Mattiuz, Elisa Battistuzzi, Elisa Battistuzzi, Marcello Beccari, Marcello Beccari, Christian Geroin, Alessandro Picelli, Alessandro Picelli, Andreas Waldner, Nicola Smania, Nicola Smania   +18 more
doaj   +1 more source

Randomized Controlled Trial of Robot-Assisted Gait Training versus Therapist-Assisted Treadmill Gait Training as Add-on Therapy in Early Subacute Stroke Patients: The GAITFAST Study Protocol

Brain Sciences, 2022
The GAITFAST study (gait recovery in patients after acute ischemic stroke) aims to compare the effects of treadmill-based robot-assisted gait training (RTGT) and therapist-assisted treadmill gait training (TTGT) added to conventional physical therapy in ...
Barbora Kolářová, Daniel Šaňák, Petr Hluštík, Petr Kolář   +3 more
doaj   +1 more source

Model-Based Optimization for the Personalization of Robot-Assisted Gait Training

IEEE Transactions on Medical Robotics and Bionics
Personalised rehabilitation can be key to promoting gait independence and quality of life. Robots can enhance therapy by systematically delivering support in gait training, but often use one-size-fits-all control methods, which can be suboptimal. Here, we describe a model-based optimisation method for designing and fine-tuning personalised robotic ...
Andreas Christou, Daniel F. N. Gordon, Theodoros Stouraitis, Juan C. Moreno, Sethu Vijayakumar   +4 more
openaire   +4 more sources