The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Robot-assisted movement training compared with conventional therapy techniques for the rehabilitation of upper-limb motor function after stroke
Abstract
Objective To compare the effects of robot-assisted movement training with conventional techniques for the rehabilitation of upper-limb motor function after stroke.Design Randomized controlled trial, 6-month follow-up.Setting A Department of Veterans Affairs rehabilitation research and development center.Participants Consecutive sample of 27 subjects with chronic hemiparesis (>6mo after cerebrovascular accident) randomly allocated to group.Interventions All subjects received twenty-four 1-hour sessions over 2 months. Subjects in the robot group practiced shoulder and elbow movements while assisted by a robot manipulator. Subjects in the control group received neurodevelopmental therapy (targeting proximal upper limb function) and 5 minutes of exposure to the robot in each session.Main outcome measures Fugl-Meyer assessment of motor impairment, FIMtrade mark instrument, and biomechanic measures of strength and reaching kinematics. Clinical evaluations were performed by a therapist blinded to group assignments.Results Compared with the control group, the robot group had larger improvements in the proximal movement portion of the Fugl-Meyer test after 1 month of treatment (P<.05) and also after 2 months of treatment (P<.05). The robot group had larger gains in strength (P<.02) and larger increases in reach extent (P<.01) after 2 months of treatment. At the 6-month follow-up, the groups no longer differed in terms of the Fugl-Meyer test (P>.30); however, the robot group had larger improvements in the FIM (P<.04).Conclusions Compared with conventional treatment, robot-assisted movements had advantages in terms of clinical and biomechanical measures. Further research into the use of robotic manipulation for motor rehabilitation is justified.
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Kager, S., Hussain, A., Budhota, A., Dailey, W., Hughes, C. M., Vishwanath, D. A., Kuah, C. W. K., Ng, C. Y., Yam, L. H. L., Xiang, L., et al. (2019) · Journal of Rehabilitation and Assistive Technologies Engineering · doi:10.1177/2055668319881583 · Cited by 5
Research of Wire-driven Parallel Lower Limb Rehabilitation Robot
Zhao, J., Zhou, X., Yang, X., & Yao, Z. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2229/1/012025 · Cited by 5
“The most successful rehabilitation robots include MIT-Manus[3], MIME[4], TEM[5], MotionMaker[6], and so on.”
BackgroundThree-Dimensional Multi-Degree-of-Freedom Arm Therapy Robot (ARMin)
Nef, T., Klamroth-Marganska, V., Keller, U., & Riener, R. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_27 · Cited by 6
Virtual System Using Haptic Device for Real-Time Tele-Rehabilitation of Upper Limbs
Escobar, I., Gálvez, C., Corrales, G., Pruna, E., Pilatásig, M., & Montaluisa, J. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-95282-6_10 · Cited by 5
“Studies have shown that after training with haptic devices patients are more likely to improve their activities of daily living and improve arm function [25].”
BackgroundModeling and Master-Slave Control of an Upper-Limb Exoskeleton Suit Driven by Pneumatic Muscles
Aljallad, G., Qafisheh, Y., & Abu-Khalaf, J. (2019) · International Conference on Research and Education in Mechatronics (REM) · doi:10.1109/rem.2019.8744106 · Cited by 5
DeBoon, B., Foley, R. C. A., Nokleby, S., Delfa, N. J. L., & Rossa, C. (2020) · Journal of Biomechanical Engineering · doi:10.1115/1.4048573 · Cited by 5
The effect of the Myomo robotic orthosis on reach performance after stroke
Bleakley, S. (2013) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 5
A human-machine interface design for direct rehabilitation using a rehabilitation robot
Akdoğan, E., Adli, M. A., & Bennett, M. N. (2008) · Conference on Soft Computing as Transdisciplinary Science and Technology · doi:10.1145/1456223.1456244 · Cited by 5
“Studies carried out in the closer past have proved many advantages of rehabilitation robots compared to classic therapy methods [2].”
Resultvan der Woude, L. H. V., Janssen, T. W. J., & Veeger, H. E. J. (2004) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2005.02.0050 · Cited by 5
Basic Experiment on Rehabilitation of Upper-Limb Motor Function Using Haptic-Device System
Lee, H. K., Kim, Y.-T., Takahashi, Y., MIYOSHI, T., Suzuki, K., & Komeda, T. (2011) · Transactions of the Korean Society of Mechanical Engineers A · doi:10.3795/ksme-a.2011.35.5.459 · Cited by 5
A SYSTEM FOR UPPER LIMB REHABILITATION AND MOTOR FUNCTION EVALUATION
Yu, H., Xie, L., LV, C., Shao, W., WANG, Y., Wang, J., & Yu, W. (2014) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519415500104 · Cited by 5
Motion Path Design for Specific Muscle Training Using Neural Network
Itokazu, K., Miyoshi, T., & Terashima, K. (2013) · Journal of Robotics · doi:10.1155/2013/810909 · Cited by 5
Islam, N., Harris, N. D., & Eccleston, C. (2006) · Quality in Ageing and Older Adults · doi:10.1108/14717794200600007 · Cited by 5
Development of a Dual Robotic System for Upper-Limb Stroke Rehabilitation
Culmer, P., Jackson, A., Richardson, R. C., Bhakta, B., Levesley, M. C., & Cozens, A. (2005) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2005.1501052 · Cited by 5
“The efficacy of using robotics in stroke rehabilitation therapy has been investigated and proven by a number of researchers [6,7,8].”
BackgroundNeural Network Control for Tele-rehabilitation Robot based on Variable Gain
Xiaobo, G., Aiguo, S., & Yan, Z. (2008) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2008.57 · Cited by 5
“Some research institutions have launched telerehabilitation robot researches[2,7,8,9] but the control method in above literatures have not yet considered the muscle spasm which severely reduces the system stability and causes the slave smoothness of movement during the training.”
BackgroundAdaptive model-based assistive control for pneumatic direct driven soft rehabilitation robots
Wilkening, A., & Евгеньевич, И. О. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650354 · Cited by 5
Rodriguez‐Guerrero, C., Fraile, J. C., Turiel, J. P., & Farina, P. R. (2011) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.1016/s1697-7912(11)70027-9 · Cited by 5
Clinical Assessment of Forearm Pronation/Supination Torque in Stroke Patients
Kung, B.-C., Ju, M., Lin, C. K., & Chen, S. (2004) · Cited by 5
Clinical Use of Robots as a Part of Rehabilitation Medicine
Do, K. H., & Chun, M. H. (2017) · Brain & Neurorehabilitation · doi:10.12786/bn.2017.10.e7 · Cited by 5
“However, the other studies concluded that robot-assisted rehabilitation showed results that are similar to conventional treatments [16,17,20,21].”
BackgroundResultInfluentialNew VR Technologies for Sensorimotor Rehabilitation
Patton, J. L. (2013) · Seitai ikougaku/Seitai ikogaku · doi:10.11239/jsmbe.51.m-99 · Cited by 4
Currie, J., Giannaccini, M. E., & Bach, P. (2024) · International Journal of Social Robotics · doi:10.1007/s12369-024-01105-5 · Cited by 4
“Close physical human–robot interaction is important in rehabilitation [43] to support patients in everyday life and to improve their agency [55, 59], as well as in therapy and socially demanding service work [34, 94].”
Impedance Control in the Rehabilitation Robotics
Jelačić, Z. (2018) · Lecture notes in networks and systems · doi:10.1007/978-3-319-71321-2_85 · Cited by 4
Metadata
- Authors
- Lum, P. S., Burgar, C. G., Shor, P. C., Majmundar, M., & Van der Loos, M.
- Affiliations
- Virginia Commonwealth University (US)
- ORCID
- Lum, Peter S.
- Venue
- Archives of Physical Medicine and Rehabilitation
- Publisher
- Elsevier BV
- Published
- 2002-07
- Volume
- 83
- Issue
- 7
- Pages
- 952-959
- ISSN
- 0003-9993 (ISSN-L)
- OpenAlex
- W2113585314
- Cited by
- 1,159
- References
- 46
- Citations by year
- 2026: 19 · 2025: 20 · 2024: 25 · 2023: 26 · 2022: 48 · 2021: 34 · 2020: 41 · 2019: 57 · 2018: 67 · 2017: 61 · 2016: 81 · 2015: 58 · 2014: 62 · 2013: 68 · 2012: 55
- FWCI
- 28.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Physical Medicine and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- stroke rehabilitation, upper limb motor function, hemiparesis, neurodevelopmental treatment, Fugl-Meyer Assessment, FIM, arm muscle strength, reaching kinematics, chronic stroke
- MeSH terms
- Stroke Rehabilitation, Aged, Analysis of Variance, Arm, Biomechanical Phenomena, Chronic Disease, Feedback, Follow-Up Studies, Humans, Muscle Contraction, Paresis, Robotics, Stress, Mechanical, Motion Therapy, Continuous Passive, Range of Motion, Articular, Treatment Outcome, Sample Size, Stroke
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