Cited by 751Prosthetics and Rehabilitation RoboticsStroke Rehabilitation and RecoverySpinal Cord Injury Research

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Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)

Banala, Sai K., Kim, Seok Hun, Agrawal, Sunil K., Scholz, John P.·2009·IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI 10.1109/tnsre.2008.2008280

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Abstract

Gait training of stroke survivors is crucial to facilitate neuromuscular plasticity needed for improvements in functional walking ability. Robot assisted gait training (RAGT) was developed for stroke survivors using active leg exoskeleton (ALEX) and a force-field controller, which uses assist-as-needed paradigm for rehabilitation. In this paradigm undesirable gait motion is resisted and assistance is provided towards desired motion. The force-field controller achieves this paradigm by effectively applying forces at the ankle of the subject through actuators on the hip and knee joints. Two stroke survivors participated in a 15-session gait training study each with ALEX. The results show that by the end of the training the gait pattern of the patients improved and became closer to a healthy subject's gait pattern. Improvement is seen as an increase in the size of the patients' gait pattern, increased knee and ankle joint excursions and increase in their walking speeds on the treadmill.

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Knowledge of results and motor learning: A review and critical reappraisal.
Salmoni, A. W., Schmidt, R. A., & Walter, C. B. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.3.355 · Cited by 1,438
Patient- cooperative strategies for robot-aided treadmill training: first experimental results
Riener, R., Lunenburger, L., Jezernik, S., Anderschitz, M., Colombo, G., & Dietz, V. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.848628 · Cited by 729
Motor learning elicited by voluntary drive
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Effects of Locomotion Training With Assistance of a Robot-Driven Gait Orthosis in Hemiparetic Patients After Stroke: A Randomized Controlled Pilot Study
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Hogan, N., Krebs, H. I., Rohrer, B., Palazzolo, J. J., Dipietro, L., Fasoli, S. E., Stein, J. M., Hughs, R., Frontera, W. R., Lynch, D., et al. (2006) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2005.06.0103 · Cited by 377
Prospective, Blinded, Randomized Crossover Study of Gait Rehabilitation in Stroke Patients Using the Lokomat Gait Orthosis
Mayr, A., Kofler, M., Quirbach, E., Matzak, H., Fröhlich, K., & Saltuari, L. (2007) · Neurorehabilitation and Neural Repair · doi:10.1177/1545968307300697 · Cited by 371 · cited 1×
“Another gait training study [5] was conducted using Lokomat with 16 stroke patients for nine weeks mostly within three months of onset.”
Method
Implications of Assist-As-Needed Robotic Step Training after a Complete Spinal Cord Injury on Intrinsic Strategies of Motor Learning
Cai, L. L., Fong, A. J., Otoshi, C. K., Liang, Y., Burdick, J. W., Roy, R. R., & Edgerton, V. R. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2266-06.2006 · Cited by 345
Active Leg Exoskeleton (ALEX) for Gait Rehabilitation of Motor-Impaired Patients
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Gait Pattern in the Early Recovery Period after Stroke*
Quervain, I. A. K., Simon, S. R., Leurgans, S. E., Pease, W. S., & McAllister, D. R. (1996) · Journal of Bone and Joint Surgery · doi:10.2106/00004623-199610000-00008 · Cited by 316

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0, Post-stroke rehabilitation fact sheet
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McCain, E. M., Dick, T. J. M., Giest, T. N., Nuckols, R. W., Lewek, M. D., Saul, K. R., & Sawicki, G. S. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0523-y · Cited by 95
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Low, K. H. (2011) · Defense Science Research Conference and Expo (DSR) · doi:10.1109/dsr.2011.6026886 · Cited by 95
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Zhang, T., Tran, M., & Huang, H. (2019) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2019.2916546 · Cited by 95
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The-state-of-the-art of soft robotics to assist mobility: a review of physiotherapist and patient identified limitations of current lower-limb exoskeletons and the potential soft-robotic solutions
Morris, L., Diteesawat, R. S., Rahman, N., Turton, A., Cramp, M., & Rossiter, J. M. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01122-3 · Cited by 99
Integral admittance shaping: A unified framework for active exoskeleton control
Nagarajan, U., Aguirre-Ollinger, G., & Goswami, A. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2015.09.015 · Cited by 90
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Maeshima, S., Osawa, A., Nishio, D., Hirano, Y., Takeda, K., Kigawa, H., & Sankai, Y. (2011) · BMC Neurology · doi:10.1186/1471-2377-11-116 · Cited by 90
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Donati, M., Vitiello, N., Rossi, S., Lenzi, T., Crea, S., Persichetti, A., Giovacchini, F., Koopman, B., Podobnik, J., Munih, M., et al. (2013) · Sensors · doi:10.3390/s130101021 · Cited by 88
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Krishnan, C., Ranganathan, R., Kantak, S. S., Dhaher, Y. Y., & Rymer, W. Z. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-57 · Cited by 78
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Rosati, G., Rodà, A., Avanzini, F., & Masiero, S. (2013) · Computational Intelligence and Neuroscience · doi:10.1155/2013/586138 · Cited by 75
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Jo, I., & Bae, J. (2016) · Mechatronics · doi:10.1016/j.mechatronics.2016.12.001 · Cited by 76
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Aurich-Schuler, T., Grob, F., van Hedel, H. J. A., & Labruyère, R. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0287-1 · Cited by 76

Authors: Banala, S. K., Kim, S. H., Agrawal, S. K., & Scholz, J. P.
Affiliations: University of Delaware (US)
ORCID: Agrawal, Sunil K.
Venue: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2009-02
Volume: 17
Issue: 1
Pages: 2-8
ISSN: 1534-4320 (ISSN-L)
1558-0210
DOI: 10.1109/tnsre.2008.2008280
OpenAlex: W2163208146
Cited by: 751
References: 15
Citations by year: 2026: 16 · 2025: 25 · 2024: 35 · 2023: 32 · 2022: 49 · 2021: 53 · 2020: 40 · 2019: 52 · 2018: 64 · 2017: 63 · 2016: 55 · 2015: 52 · 2014: 58 · 2013: 65 · 2012: 35
FWCI: 12.61
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Neural Systems and Rehabilitation Engineering (publishedVersion)
PubMed (publishedVersion)
Funders: Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD 38582, R01HD038582)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Health Sciences › Medicine › Clinical Neurology › Spinal Cord Injury Research
Keywords: robot-assisted gait training, stroke rehabilitation, gait pattern, walking speed, treadmill gait
MeSH terms: Stroke Rehabilitation, Aged, Algorithms, Ankle, Equipment Design, Gait, Humans, Male, Middle Aged, Robotics, Walking, Treatment Outcome, Gait Disorders, Neurologic, Stroke

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