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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“Although many robots can induce passive movements and passive resistance movements for recovery of upper-extremity function [9,13,14], it is rare to find robots that also enable active resistance movements.”
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Robotic assistance for upper extremity training after stroke.
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Developing a user interface for the iPAM stroke rehabilitation system
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Combined Vision and Wearable Sensors-based System for Movement Analysis in Rehabilitation
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“Compared to conventional rehabilitation, RT has advantages in terms of clinical and biomechanical measures [33].”
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Robotic Rehabilitation Game Design for Chronic Stroke
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“Partial assistance has been shown to provide more effective therapy.(15)”
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“Early examples of these robots include the MIT-MANUS [9] and MIME [10, 11], both of which were designed for rehabilitation of the proximal upper extremity joints (shoulder and elbow).”
MethodKadivar, Z., Sullivan, J. L., Eng, D. P., Pehlivan, A. U., Malley, M. K. O., Yozbatıran, N., Berliner, J., Boake, C., & Francisco, G. E. (2012) · International Journal of Biological Engineering · doi:10.5923/j.ijbe.20120204.01 · Cited by 21
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Exoskeletons for Gait Assistance and Training of the Motor-Impaired
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Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots
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“Compared to exoskeletons, end-effector-based systems require far less adjustment to individual patients (Burgar et al., 2000; Lum et al., 2002).”
BackgroundWang, Z., Huang, Z., Lv, X., Zhou, Y., Wang, H., & Zong, S.-H. (2014) · Neural Regeneration Research · doi:10.4103/1673-5374.147938 · Cited by 20
“…advanced rehabilitation techniques, such as constraint-induced movement therapy (Taub et al., 1999; Grotta et al., 2004), robot-assisted movement (Lum et al., 2002; Kwakkel et al., 2007), electromyography-triggered neuromuscular electrical stimulation of paretic muscles (Cauraugh et al., 2000),…”
Pehlivan, A. U., Rose, C. G., & O’Malley, M. K. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650462 · Cited by 20
“End-effector based robots, such as the MIT-MANUS [10] and Mirror Image Movement Enabler (MIME) [11] possess a large functional workspace, but do not have the capability to apply torques to specific joints or quantitatively evaluate patients like exoskeleton based robots, such as the 5 DOF MAHI Exoskeleton [12], 5 DOF…”
BackgroundIntroducing a feedback training system for guided home rehabilitation
Kohler, F., Schmitz‐Rode, T., & Dißelhorst-Klug, C. (2010) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-7-2 · Cited by 20
“Also bilateral approaches are discussed [22] with rope-kinematic robots that move patients like marionettes [23] or with two robot arms [24,25].”
BackgroundDesigning Robots That Challenge to Optimize Motor Learning
Brown, D. A., Lee, T. D., Reinkensmeyer, D. J., & Duarte, J. E. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_3 · Cited by 23
Manual wheelchairs: research and innovation in sports and daily life
van der Woude, L. H. V., de Groot, S., & Janssen, T. W. J. (2006) · Science & Sports · doi:10.1016/j.scispo.2006.06.006 · Cited by 20
Novel swing-assist un-motorized exoskeletons for gait training
Mankala, K. K., Banala, S. K., & Agrawal, S. K. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-24 · Cited by 20
Path guidance control for a safer large scale dissipative haptic display
Dellon, B., & Matsuoka, Y. (2008) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2008.4543512 · Cited by 20
Rozevink, S. G., van der Sluis, C. K., & Hijmans, J. M. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00934-z · Cited by 20
Spasojevic, S. S., Santos-Victor, J., Ilic, T. V., Milanović, S., Potkonjak, V., & Rodic, A. D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20904-3_38 · Cited by 19
“Rehabilitation studies for neurological disorders usually concentrate on the analysis of particular body functionalities such as postural control [13], gait [15], upper body movements [16] or even the observation of the behavior of a concrete joint [17].”
BackgroundHuman-Computer Interaction in Healthcare: How to Support Patients during Their Wrist Rehabilitation
D’Auria, D., Persia, F., & Siciliano, B. (2016) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc.2016.21 · Cited by 19
“However, the adoption of these systems in research and clinical settings is still limited by the high costs of dedicated haptic hardware for MIS [11], [12].”
BackgroundUpper limb bilateral symmetric training with robotic assistance and clinical outcomes for stroke
Simkins, M., Byl, N. N., Kim, H., Abrams, G., & Rosén, J. (2016) · International Journal of Intelligent Computing and Cybernetics · doi:10.1108/ijicc-09-2014-0041 · Cited by 19
“Others have used more sophisticated robots that involve a greater number of DOF in the arm for isokinetic training (Lum et al., 2002).”
BackgroundMethodResultERRSE: Elbow Robotic Rehabilitation System with an EMG-Based Force Control
Tiboni, M., Legnani, G., Lancini, M., Serpelloni, M., Gobbo, M., & Fausti, D. (2017) · Mechanisms and machine science · doi:10.1007/978-3-319-61276-8_95 · Cited by 20
Hirakawa, Y., Takeda, K., Tanabe, S., Koyama, S., Motoya, I., Sakurai, H., Kanada, Y., Kawamura, N., Kawamura, M., Nagata, J., et al. (2018) · Topics in Stroke Rehabilitation · doi:10.1080/10749357.2018.1466971 · Cited by 19
Real-time pain detection in facial expressions for health robotics
Dai, L., Broekens, J., & Truong, K. P. (2019) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw.2019.8925192 · Cited by 19
“[5] compared robot-assisted rehabilitation of upper-”
Lum, P. S., Burgar, C. G., & Shor, P. C. (2004) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2003.1279614 · Cited by 19
Fu, M. J., Daly, J. J., & Çavuşoğlu, M. C. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2006.1642182 · Cited by 19
“found that robot-assisted therapy helped stroke survivors improve more in both functional and biomechanical measures than conventional therapy [5].”
BackgroundUpper Limb Rehabilitation and Evaluation of Stroke Patients Using Robot-Aided Techniques
Colombo, R., Pisano, F., Micera, S., Mazzone, A., Delconte, C., Carrozza, M. C., Dario, P., & Minuco, G. (2005) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2005.1501154 · Cited by 19
Control of Robots for Rehabilitation
Riener, R. (2005) · IEEE EUROCON - International Conference on Computer as a Tool (EUROCON) · doi:10.1109/eurcon.2005.1629851 · Cited by 19
Effects of prolonged robot-assisted training on upper limb motor recovery in subacute stroke
Duret, C., & Hutin, É. (2013) · Neurorehabilitation · doi:10.3233/nre-130926 · Cited by 18
Development of meal assistance orthosis for disabled persons using EOG signal and dish image
Goto, S., Nakamura, M., & Sugi, T. (2008) · International Journal of Advanced Mechatronic Systems · doi:10.1504/ijamechs.2008.022009 · Cited by 18
“In order to recover the functions of the upper limbs, robotic-assisted rehabilitation is effected (Masiero et al., 2007; Lum et al., 2002) and the control system design of a rehabilitation and training robot for the upper limbs was investigated (Denève et al.”
MethodStein, J. M. (2008) · Expert Review of Medical Devices · doi:10.1586/17434440.6.1.15 · Cited by 18
Augmented feedback, virtual reality and robotics for designing new rehabilitation methods
Robertson, J. V. G., & Roby-Brami, A. (2010) · Collection de l'Académie européenne de médecine de réadaptation · doi:10.1007/978-2-8178-0034-9_12 · Cited by 18
Robotic and Wearable Sensor Technologies for Measurements/Clinical Assessments
Lambercy, O., Maggioni, S., Lünenburger, L., Gassert, R., & Bolliger, M. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_10 · Cited by 20
Tongue-controlled robotic rehabilitation: A feasibility study in people with stroke
Ostadabbas, S., Housley, S. N., Sebkhi, N., Richards, K., Wu, D. S., Zhang, Z., Rodriguez, M. G., Warthen, L., Yarbrough, C., Belagaje, S. R., et al. (2016) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2015.06.0122 · Cited by 18
Grosmaire, A.-G., & Duret, C. (2017) · Neurorehabilitation · doi:10.3233/nre-171454 · Cited by 18
Rossa, C., Najafi, M., Tavakoli, M., & Adams, K. D. (2021) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2021.3050512 · Cited by 18
“Although some symptoms of spasticity are permanent, studies have documented positive effects of robotic-assisted training in improving motor function of individuals living with cerebral palsy [10], and post-stroke movement impairments [11].”
Background
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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