Rehabilitation
Related papers: 20
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Rehabilitation, in the context of robotics and AI, refers to the use of automated systems, intelligent devices, and data-driven methods to restore or improve motor, sensory, and cognitive function in individuals recovering from neurological injuries, strokes, spinal cord damage, or other disabling conditions. Robotic rehabilitation systems — such as exoskeletons, end-effector devices, and treadmill-based platforms — deliver repetitive, precisely controlled movement therapy to affected limbs or the whole body, promoting neuromuscular plasticity and functional recovery. These systems can adapt in real time to a patient's effort and progress, often incorporating electromyographic signals, brain-computer interfaces, or force feedback to encourage active participation. AI techniques enable personalized therapy protocols, objective performance monitoring, and quantitative documentation of recovery trajectories that are difficult to capture through conventional clinical assessment. Rehabilitation robotics matters because it addresses the growing shortage of therapists, enables high-intensity training beyond what manual therapy can consistently provide, and opens pathways to restore voluntary movement in patients with conditions once considered untreatable, such as paraplegia.
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Stroke rehabilitation
Peter Langhorne, Julie Bernhardt, Gert Kwakkel
Citations: 2587 • 2011
Motor recovery after stroke: a systematic review
Peter Langhorne, Fiona Coupar, Alex Pollock
Citations: 2294 • 2009
Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review
Gert Kwakkel, Boudewijn J. Kollen, Hermano Igo Krebs
Citations: 1491 • 2007
Robot-aided neurorehabilitation
Hermano Igo Krebs, Neville Hogan, Mindy Aisen, Bruce T. Volpe
Citations: 1427 • 1998
Motor learning: its relevance to stroke recovery and neurorehabilitation
John W. Krakauer
Citations: 1263 • 2006
Myoelectric control systems—A survey
Mohammadreza Asghari Oskoei, Huosheng Hu
Citations: 1238 • 2007
A survey on robotic devices for upper limb rehabilitation
Paweł Maciejasz, Jörg Eschweiler, Kurt Gerlach-Hahn, Arne Jansen-Troy, Steffen Leonhardt
Citations: 1178 • 2014
Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke
Peter S. Lum, Charles G. Burgar, P. Shor, Matra Majmundar, H. F. Machiel Van der Loos
Citations: 1158 • 2002
Review of control strategies for robotic movement training after neurologic injury
Laura Marchal–Crespo, David J. Reinkensmeyer
Citations: 1148 • 2009
Treadmill training of paraplegic patients using a robotic orthosis.
Giorgio Colombo, M Joerg, Reinhard Schreier, V Dietz
Citations: 1117 • 2001
Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke
Gerdienke B. Prange, M.J.A. Jannink, Karin Groothuis‐Oudshoorn, Hermie Hermens, Maarten J. IJzerman
Citations: 932 • 2006
Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery
Samar M. Hatem, Geoffroy Saussez, Margaux della Faille, Vincent Prist, Xue Zhang, Delphine Dispa, Yannick Bleyenheuft
Citations: 914 • 2016
Brain–computer interfaces for communication and rehabilitation
Ujwal Chaudhary, Niels Birbaumer, Ander Ramos‐Murguialday
Citations: 904 • 2016
Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury
Rubia van den Brand, Janine Heutschi, Quentin Barraud, Jack DiGiovanna, Kay Bartholdi, Michèle Huerlimann, Lucia Friedli, Isabel Vollenweider, Eduardo Martin Moraud, Simone Duis, Nadia Dominici, Silvestro Micera, Pavel Musienko, Grégoire Courtine
Citations: 754 • 2012
Strategies for stroke rehabilitation
Bruce H. Dobkin
Citations: 740 • 2004
Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)
Sai K. Banala, Seok Hun Kim, Sunil K. Agrawal, John P. Scholz
Citations: 739 • 2008
Patient-cooperative strategies for robot-aided treadmill training: first experimental results
Robert Riener, Lars Lünenburger, S. Jezernik, Martin Anderschitz, Giorgio Colombo, Volker Dietz
Citations: 717 • 2005
Brain-Computer Interfaces in Medicine
Jerry J. Shih, Dean J. Krusienski, Jonathan R. Wolpaw
Citations: 711 • 2012
Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke
Jan Mehrholz, Marcus Pohl, Thomas Platz, Joachim Kügler, Bernhard Elsner
Citations: 681 • 2015
Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience.
Charles G. Burgar, Peter S. Lum, P. Shor, H. F. Machiel Van der Loos
Citations: 678 • 2001