Results 61 to 70 of about 4,612,760 (282)

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

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Robotics Training Algorithms for Optimizing Motor Learning in Spinal Cord Injured Subjects [PDF]

, 2007
The circuitries within the spinal cord are remarkably robust and plastic. Even in the absence of supraspinal control, such circuitries are capable of generating functional movements and changing their level of excitability based on a specific ...
Cai, Lance Lin-Lan
core   +1 more source

Simultaneous high-definition transcranial direct current stimulation and robot-assisted gait training in stroke patients

Scientific Reports
This study investigates whether simultaneous high-definition transcranial direct current stimulation (HD-tDCS) enhances the effects of robot-assisted gait training in stroke patients.
Eunmi Kim, Gihyoun Lee, Jungsoo Lee, Yun-Hee Kim   +3 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Assessment of walking performance in robot-assisted gait training: A novel approach based on empirical data [PDF]

, 2008
Motivation and voluntary drive of patients can be improved by applying biofeedback during robot-assisted rehabilitation trainings. Biofeedback systems were traditionally based on theoretical assumptions.
Bolliger, M, Lars Lunenburger, Banz, R, Riener, R, Lünenburger, L, Marc Bolliger, Raphael Banz, Robert Riener   +7 more
core   +1 more source

Video_7_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

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

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source