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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Nonparametric Statistics for the Behavioral Sciences
Guitton, H., & Siegel, S. (1958) · Revue économique · doi:10.2307/3498751 · Cited by 35,279
Nonparametric Statistics for the Behavioral Sciences.
Whitfield, J. W., & Siegel, S. (1957) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2342828 · Cited by 8,017
Analysis of Incomplete Multivariate Data
Booth, D. E., & Schafer, J. L. (2000) · Technometrics · doi:10.2307/1271466 · Cited by 5,627
The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance
Fugl-Meyer, A., Jääskö, L., Leyman, I., Olsson, S., & Steglind, S. (1975) · Journal of Rehabilitation Medicine · doi:10.2340/1650197771331 · Cited by 5,564
Understanding motor events: a neurophysiological study
di Pellegrino, G., Fadiga, L., Fogassi, L., Gallese, V., & Rizzolatti, G. (1992) · Experimental Brain Research · doi:10.1007/bf00230027 · Cited by 3,539
Nonparametric Statistics : for the Behavioral Sciences
Siegel, S. (1956) · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno · Cited by 3,314
Nudo, R. J., Wise, B. M., SiFuentes, F., & Milliken, G. W. (1996) · Science · doi:10.1126/science.272.5269.1791 · Cited by 1,911
The Barthel ADL Index: A standard measure of physical disability?
Wade, D. T., & Collin, C. (1988) · International Disability Studies · doi:10.3109/09638288809164105 · Cited by 1,587
Technique to improve chronic motor deficit after stroke.
Taub, E., Miller, N. E., Novack, T. A., Cook, E. W., Fleming, W. C., Nepomuceno, C., Connell, J., & Crago, J. E. (1993) · PubMed · Cited by 1,557
Treatment-Induced Cortical Reorganization After Stroke in Humans
Liepert, J., Bauder, H., Miltner, W. H. R., Taub, E., & Weiller, C. (2000) · Stroke · doi:10.1161/01.str.31.6.1210 · Cited by 1,406
Research works printed but not linked: 1
- Burgar, 1999, Rehabilitation of upper limb dysfunction in chronic hemiplegia: robot-assisted movements vs. conventional therapy [abstract], Arch Phys Med Rehabil, 80, 1121
Cited by
Sorted by citations
Items 601–700 of 1,000
Balasubramanian, S., Huang, H., & He, J. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.259536 · Cited by 12
Technical evaluation of the MACARM: A cable robot for upper limb neurorehabilitation
Beer, R. F., Mayhew, D., Bredfeldt, C. E., & Bachrach, B. (2008) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2008.4762880 · Cited by 12
“Rehabilitation robotics has the potential to significantly reduce this problem through the automation of repetitive and labor-intensive care if it can adequately reproduce effective therapeutic protocols [4], [5].”
BackgroundINC-Hg: An Intelligent Collaborative Haptic-Gripper Virtual Reality System
Zhao, H., Amat, A. Z., Migovich, M., Swanson, A. R., Weitlauf, A. S., Warren, Z. E., & Sarkar, N. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3487606 · Cited by 11
A Sonomyography-Based Muscle Computer Interface for Individuals With Spinal Cord Injury
Shenbagam, M., Kamatham, A. T., Vijay, P., Salimath, S., Patwardhan, S., Sikdar, S., Kataria, C., & Mukherjee, B. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3359483 · Cited by 12
“Early attempts such as MIT-MANUS [9] and MIME [10], [11] were restricted to proximal joints of the upper extremity.”
MethodRobotic Hand Exoskeletons for Rehabilitation and Assistance: A State-of-the-Art
Chen, B., Wu, Y., Ni, X., Qin, L.-Y., & Li, E. (2024) · Journal of Medical Devices · doi:10.1115/1.4067350 · Cited by 13
Silva, É. C. G. E., Lange, B. S., Bacha, J. M. R., & Pompeu, J. E. (2020) · Games for Health Journal · doi:10.1089/g4h.2019.0192 · Cited by 11
“…with these findings, studies have shown that the Nintendo Wii has promoted improvement in the motor function of upper limbs of people who have had a stroke, 53–55 in children with cerebral palsy, 56–59 and in people with Parkinson’s disease 60 and people with Duchenne muscular dystrophy.”
Cecchi, F., Germanotta, M., Macchi, C., Montesano, A., Galeri, S., Diverio, M., Falsini, C., Martini, M., Mosca, R., Langone, E., et al. (2020) · Journal of Neurology · doi:10.1007/s00415-020-10143-8 · Cited by 15
Zhang, Z., Prilutsky, B. I., Butler, A. J., Shinohara, M., & Ghovanloo, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168708 · Cited by 10
“Although it is still not clear if robotic rehabilitation can deliver consistently better clinical outcomes compared to traditional therapy [7–10], robotic rehabilitation enables clinicians to deliver more consistent therapy with measurable results in real-time [11,12] with potentially lower costs [6].”
BackgroundMultimodal Interfaces to Improve Therapeutic Outcomes in Robot-Assisted Rehabilitation
Zollo, L., Papaleo, E., Spedaliere, L., Guglielmelli, E., Badesa, F. J., Morales, R., & García-Aracil, N. (2013) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-02934-4_16 · Cited by 12
Upper limb rehabilitation robot for physical therapy: design, control, and testing
Akdoğan, E. (2016) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.3906/elk-1310-50 · Cited by 11
“MIME is another well-known upper limb rehabilitation robot, developed for elbow rehabilitation using the master-slave concept [9,10].”
MethodMalerba, P., Straudi, S., Fregni, F., Bazhenov, M., & Basaglia, N. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00058 · Cited by 10
Development of a Computerized Adaptive Testing System of the Functional Assessment of Stroke
Lin, G., Huang, Y., Lee, S., Huang, S., & Hsieh, C. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.09.116 · Cited by 11
Ayas, M. Ş., & Altaș, İ. H. (2018) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/0959651818762062 · Cited by 11
Assistive controllers and modalities for robot-aided neurorehabilitation
Colombo, R., & Sanguineti, V. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811995-2.00005-9 · Cited by 11
Experimental Characterization of NURSE, a Device for Arm Motion Guidance
Rico, B. D. M. C., Cafolla, D., Ceccarelli, M., & Castillo-Castañeda, E. (2018) · Journal of Healthcare Engineering · doi:10.1155/2018/9303282 · Cited by 11
“It has been proved that use of robotic systems benefits the rehabilitation process [13, 14].”
BackgroundUsing Assistive Robotics for Aphasia Rehabilitation
Pereira, J., de Melo, M., Franco, N. D. M., Rodrigues, F., Coelho, A., & Fidalgo, R. (2019) · Latin American Robotics Symposium, Brazilian Symposium on Robotics and Workshop on Robotics in Education (LARS/SBR/WRE) · doi:10.1109/lars-sbr-wre48964.2019.00074 · Cited by 11
“In this context, robotic rehabilitation is used for lower [12] and upper limp [13] treatment and for fine motor skills recovery [14].”
MethodWittenberg, G. F., Richards, L. G., Jones, L. M., Roys, S., Gullapalli, R. P., Yang, S., Guarino, P., & Lo, A. (2016) · F1000Research · doi:10.12688/f1000research.8603.1 · Cited by 11
Design of a wearable rehabilitation robot integrated with functional electrical stimulation
Tu, X., Huang, J., Yu, L., Xu, Q., & He, J. (2012) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2012.6290720 · Cited by 11
“He and Koeneman et al have built a wearable device for robotic assisted upper extremity repetitive therapy (RUPERT) [9-10].”
BackgroundAdaptive position anticipation in a support robot for overground gait training enhances transparency
Everarts, C., Vallery, H., Bolliger, M., & Ronsse, R. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650483 · Cited by 11
A universal haptic device for arm and wrist rehabilitation
Oblak, J., Cikajlo, I., & Matjačić, Z. (2009) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2009.5209605 · Cited by 11
Performance-based viscous force field adaptation in upper limb strength training for stroke patients
Baur, K., Klamroth-Marganska, V., Giorgetti, C., Fichmann, D., & Riener, R. (2016) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2016.7523736 · Cited by 11
“However, most existing control strategies apply a constant resistive force or a constant viscous field to the patient [12], [13].”
BackgroundVariability Analysis of Therapeutic Movements using Wearable Inertial Sensors
López-Nava, I. H., Bert Arnrich, A., Muñoz-Meléndez, A., & Özgür, A. G. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0645-8 · Cited by 11
Three-Dimensional Multi-degree-of-Freedom Arm Therapy Robot (ARMin)
Nef, T., Klamroth-Marganska, V., Keller, U., & Riener, R. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_17 · Cited by 11
Development of an Upper Limb Robotic Device for Stroke Rehabilitation
Lu, E. C. (2011) · TSpace (University of Toronto) · Cited by 11
Feasibility of AI and Robotics in Indian Healthcare
Joshi, R., & Badola, R. (2024) · Wiley eBooks · doi:10.1002/9781394234196.ch18 · Cited by 11
A decision-theoretic approach in the design of an adaptive upper-limb stroke rehabilitation robot
Huq, R., Kan, P., Goetschalckx, R., Hebert, D., Hoey, J., & Mihailidis, A. (2011) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2011.5975418 · Cited by 10
“The Mirror Image Movement Enabler (MIME) therapy system [6] uses a sixdegree of freedom (DOF) robot manipulator that applies forces through an orthosis to the user’s affected arm in order to accomplish both unimanual and bimanual goal-directed movements in 3-dimensional space.”
MethodLow Cost Soft Robotic Gloves for At-home Rehabilitation and Daily Living Activities
Vessakosol, P. (2019) · Journal of Automation Mobile Robotics & Intelligent Systems · doi:10.14313/jamris/3-2019/22 · Cited by 10
Development of Smart Glove system for therapy treatment
Ali, A. M. M., Yusof, Z. M., Kushairy, A. K., H., F. Z., & Ismail, A. (2015) · International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) · doi:10.1109/icbaps.2015.7292220 · Cited by 10
Narang, G., Narang, A., Singh, S., & Lempiäinen, J. (2013) · IEEE International Conference on Technologies for Practical Robot Applications · doi:10.1109/tepra.2013.6556363 · Cited by 10
“This method has several advantages over conventional methods in terms of clinical and biomechanical measures [3].”
MethodPei, Y., Kim, Y., Obinata, G., & Kazunori, H. A. S. E. (2011) · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · doi:10.1299/kikaic.77.3439 · Cited by 10
A novel approach for robot-assisted upper-limb rehabilitation
Xu, G., Gao, X., Chen, S., Wang, Q., Zhu, B., & Li, J. (2017) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881417736670 · Cited by 10
“Using equation (2), the continuous linear model was discretized to provide a model for linear estimation”
BackgroundMethodMeng, Q., Jiao, Z., Yu, H., & Zhang, W. (2021) · Mechanical sciences · doi:10.5194/ms-12-639-2021 · Cited by 10
Wang, R., An, Q., Yang, N., Kogami, H., Yoshida, K., Yamakawa, H., Hamada, H., Shimoda, S., Yamasaki, H. R., Yokoyama, M., et al. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.785143 · Cited by 10
“As past studies found that chronic stroke patients showed significant gains in isometric muscle strength and assessment scores of motor performance in upper limb muscles after receiving rehabilitation training (Lum et al., 2002), findings of this study may imply that the likelihood of seeing muscle activation increase…”
ResultKoyama, T., Sano, K., Tanaka, S., 畠中, 輝., & Domen, K. (2007) · Neurorehabilitation · doi:10.3233/nre-2007-22406 · Cited by 10
“Direct comparison with different forced-use methodologies, such as computer-controlled robots [14,27,28], would help to clarify this issue.”
One Degree-of-Freedom Haptic Device
Rahman, H. B. A., Hua, T., Yap, R. T. H., Yeong, C. F., & Su, E. L. M. (2012) · Procedia Engineering · doi:10.1016/j.proeng.2012.07.180 · Cited by 10
Vicentini, F., Pedrocchi, N., Malosio, M., & Tosatti, L. M. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2014.03.001 · Cited by 10
Shape-changing robot for stroke rehabilitation
Lee, N., Lee, Y., Chung, J., Heo, H., Yang, H., Lee, K. S., Ryu, H. B., Jang, S.-H., & Lee, W. (2014) · Designing Interactive Systems Conference · doi:10.1145/2598510.2598535 · Cited by 12
“Studies have shown that robotic artifacts support repetitive and constrained motion [10,25].”
BackgroundVariable Resistance Hand Device using an electro-rheological fluid damper
Weinberg, B., Khanicheh, A., Sivak, M. L., Unluhisarcikli, O., Morel, G., Shannon, J., Kelliher, J., Sabadosa, M., Bonmassar, G., Patritti, B. L., et al. (2009) · IEEE World Haptics Conference (WHC) · doi:10.1109/whc.2009.4810899 · Cited by 10
“, motivation, adaptability, data collection, and the ability to provide intensive individualized repetitive practice [2].”
BackgroundUpper-limb Rehabilitation Robot Based on Motor Imagery EEG
Xu, B., Si, P. E. N. G., & Song, A. (2011) · ROBOT · doi:10.3724/sp.j.1218.2011.00307 · Cited by 10
A Wearable Mechatronic Glove for Resistive Hand Therapy Exercises
Zhou, Y., Desplenter, T., Chinchalkar, S. J., & Trejos, A. L. (2019) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2019.8779502 · Cited by 10
Transfer of Coordination Skill to the Unpracticed Hand in Immersive Environments
Xiao, S. Z., Ye, X., Guo, Y., Gao, B., & Long, J. (2020) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr46266.2020.00045 · Cited by 10
The Impact of Cognitive Impairment on Robot-Based Upper-Limb Motor Assessment in Chronic Stroke
Bui, K. D.-K., Lyn, B., Roland, M., Wamsley, C. A., Mendonca, R. J., & Johnson, M. J. (2022) · Neurorehabilitation and neural repair · doi:10.1177/15459683221110892 · Cited by 9
Enhancing User Performance by Adaptively Changing Haptic Feedback Cues in a Fitts's Law Task
Rowland, D., Davis, B., Higgins, T. M., & Fey, A. M. (2024) · IEEE Transactions on Haptics · doi:10.1109/toh.2024.3358188 · Cited by 9
“The use of robotic intervention or haptic guidance can provide consistency during repetition, and has even yielded promising results to accelerate motor or skill learning, when compared to conventional methods [5], [6].”
ResultYamashita, M. (2014) · Procedia Technology · doi:10.1016/j.protcy.2014.09.016 · Cited by 9
“Most assistive rehabilitation robots use impedance control [3], in which the controllers produce force outputs such as damping and spring force in response to the movement of the arms or legs of the patient in accordance with the desired path [4], [5], [6].”
BackgroundZhang, Y., Liu, X., Qiao, X., & Fan, Y. (2022) · Machines · doi:10.3390/machines10111061 · Cited by 9
Pinelli, M., Manetti, S., & Lettieri, E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20065224 · Cited by 10
“Indeed, it has been observed that in long-term upper limb treatments, therapy involving high-intensity activity features with repetitive, controlled and goal-directed movements—well suited to the use of robotic devices with controlled tasks—offers a significant improvement in functional recovery compared to convention…”
BackgroundInfluence of trajectory and speed profile on muscle organization during robot-aided training
Sadaka-Stephan, A., Pirondini, E., Coscia, M., & Micera, S. (2015) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2015.7281206 · Cited by 8
“Indeed, it has the advantage to allow an intensive highly repeatable task-oriented training and the measure of quantitative indices that could be used to assess the performance of the patients during the exercises and their functional impairments or recovery [2, 4, 5].”
BackgroundFlinn, N. A., Smith, J. L., Tripp, C. J., & White, M. W. (2009) · Occupational Therapy International · doi:10.1002/oti.280 · Cited by 9
“There is some evidence that robotic therapy demonstrates larger changes in strength and active range of motion (AROM) than neurodevelopmental treatment (Lum et al., 2002).”
BackgroundChronic cerebral vascular accident: rehabilitation
Terranova, T. T., Albieri, F. O., de Almeida, M. D., Ayres, D. V. M., da Cruz, S. F., Milazzotto, M. V., Tsukimoto, D. R., Imamura, M., Battistella, L. R., & Reabilitação, A. B. D. M. F. E. (2012) · Acta Fisiátrica · doi:10.5935/0104-7795.20120011 · Cited by 10
Cartesian trajectory tracking of an upper limb exoskeleton robot
Rahman, M. H., Saad, M., Ochoa-Luna, C., Kenné, J., & Archambault, P. S. (2012) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2012.6389155 · Cited by 9
Housley, S. N., Wu, D. S., Richards, K., Belagaje, S. R., Ghovanloo, M., & Butler, A. J. (2017) · Stroke Research and Treatment · doi:10.1155/2017/3603860 · Cited by 9
“The trend shows promise, when considering that the confounding effects of spontaneous recovery might not have contributed to significant motor gains for the chronic stroke survivors, not active in other therapeutic interventions [78, 79].”
Background(1995) · Series in medical physics and biomedical engineering · doi:10.1201/9781420050325.ch12 · Cited by 9
Inobe, J.-I., & Kato, T. (2012) · Brain Injury · doi:10.3109/02699052.2012.729283 · Cited by 9
“Such techniques include constraint-induced movement therapy [4, 5], robot-assisted movement [6, 7], bilateral symmetric movement of the paretic and non-paretic UEs [8, 9], the mirror therapy [10, 11] and repetitive facilitation exercises [12].”
MethodHYBRID FORCE/IMPEDANCE CONTROL FOR THE ROBOTIZED REHABILITATION OF THE UPPER LIMBS
Moughamir, S., Denève, A., Zaytoon, J., & Afilal, L. (2005) · IFAC Proceedings Volumes · doi:10.3182/20050703-6-cz-1902.02170 · Cited by 9
Intelligent Haptic Robotic Glove for patients diagnosed with cerebrovascular accidents
Popescu, N., Popescu, D., Poboroniuc, M.-S., & Popescu, C. D. (2013) · International Conference on System Theory, Control and Computing (ICSTCC) · doi:10.1109/icstcc.2013.6689045 · Cited by 9
“The potential benefits of robotic training have encouraged several research groups to develop robotic upper extremity rehabilitation systems [1, 2-4].”
BackgroundCooperative and active assistance based interactive therapy
Balasubramanian, S., Zhang, H., Buchanan, S., Austin, H., Herman, R. M., & He, J. (2010) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2010.5558824 · Cited by 9
“shown that robot-assisted therapy can aid in motor recovery [1-5].”
BackgroundDevelopment of multi-functional robotic test-bed for post-surgical healthcare room
Peng, S.-W., Lian, F., & Fu, L. (2009) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2009.5209631 · Cited by 9
“In the past years, several rehabilitation robots for training upper limbs and lower extremity have been developed in [1: Kerbs et al. 1998], [2: Lum et al. 2002], [3: Colombo et al. 2000], [4: Riener et al. 2005].”
BackgroundPersonalized brain-computer interface models for motor rehabilitation
Mastakouri, A. A., Weichwald, S., Özdenizci, O., Meyer, T., Schölkopf, B., & Grosse‐Wentrup, M. (2017) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2017.8123089 · Cited by 9
“Despite a wide range of rehabilitation therapies, including medication treatment [2], conventional physiotherapy [3], and robot physiotherapy [4], only approximately 20% of patients achieve some form of functional recovery in the first six months [5], [6].”
BackgroundSong, Z., Ma, T., Nie, C., & Niu, Y. (2018) · Applied Bionics and Biomechanics · doi:10.1155/2018/2719631 · Cited by 9
Advanced force control of the 2-axes PAM-based manipulator using adaptive neural networks
Ánh, H. P. H., Kien, C. V., & Nam, N. T. (2018) · Robotica · doi:10.1017/s0263574718000450 · Cited by 9
Avraham, C., & Nisky, I. (2020) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-020-0649-y · Cited by 9
4 Welfare-Oriented Service Robotic Systems: Intelligent Sweet Home & KARES II
Bien, Z., Park, K., Kim, D., & Jung, J. (2006) · Springer eBooks · doi:10.1007/10946978_4 · Cited by 9
“In fact, major functions of such robotic systems are two types: one for replacement (or rehabilitation therapy) of the user’s handicapped function [46, 52 , 60] and the other for assisting the user to carry out necessary tasks.”
BackgroundDevelopment of novel devices for upper-extremity rehabilitation
Stienen, A. H. A. (2008) · doi:10.3990/1.9789036527842 · Cited by 10
A comprehensive review of motor movement challenges and rehabilitative robotics
Suppiah, R., Kim, N., Abidi, K., & Sharma, A. (2023) · Smart Health · doi:10.1016/j.smhl.2023.100402 · Cited by 10
Li, J., Liu, W., Li, H., Jiao, R., & Dong, M. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3499329 · Cited by 8
“Lots of bilateral upper limb rehabilitation robotic systems have been proposed up to now [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21].”
A cyber-physical system based framework for motor rehabilitation after stroke
Ma, X., Tu, X., Huang, J., & He, J. (2011) · International Conference on Wireless Technologies for Humanitarian Relief · doi:10.1145/2185216.2185294 · Cited by 8
“Robot-assisted movement training has been introduced in rehabilitation and considered promising to complement conventional therapy techniques [3].”
MethodULERD-based active training for upper limb rehabilitation
Song, Z., Guo, S., Pang, M., & Zhang, S. (2012) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2012.6283170 · Cited by 8
“…reported that repetitive practice of hand and finger movements against loads resulted in greater improvements in motor performance and functional scales than Bobath-based treatment, transcutaneous electric nerve stimulation and suprathreshold electric stimulation of hand and wrist muscles [22].”
BackgroundPorta, F., Celian, C., & Patton, J. L. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630799 · Cited by 8
“Moreover, studies regarding interventions on chronic stroke subjects usually treat patients for periods longer or equal to six weeks [44] [8] [45] or involve more intensive practice [46] up to 6 hours of daily training [47], [48].”
BackgroundPoint-to-point learning in human motor systems
Zhou, S.-H., Tan, Y., Oetomo, D., Freeman, C. T., Burdet, E., & Mareels, I. (2013) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2013.6580767 · Cited by 8
“This work will use point-to-point LC proposed in [16] to analyze a particular task: planar point-to-point reaching between two points, which is commonly used to treat patients suffering from motor degenerative diseases [17].”
Design and Development of a Multi-sensor Monitoring Device for Arm Rehabilitation
Ambar, R., Ahmad, M. S., & Jamil, M. M. A. (2011) · International Journal of Integrated Engineering · Cited by 8
Challenges in Neurorehabilitation and Neural Engineering
Caramenti, M., Bartenbach, V., Gasperotti, L., da Fonseca, L. O., Berger, T. W., & Pons, J. L. (2015) · Biosystems & biorobotics · doi:10.1007/978-3-319-24901-8_1 · Cited by 8
Emerson, I., Potgieter, J., & Xu, W. (2016) · IEEE International Workshop on Advanced Motion Control (AMC) · doi:10.1109/amc.2016.7496396 · Cited by 8
“The MIME has the ability to function in many different modes of operation [8], and has also been the subject of many clinical trials [9-11].”
BackgroundHuang, Y., Yang, Q., Chen, Y., & Song, R. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00253 · Cited by 8
“Position control was adopted in traditional robots (Lahouar et al., 2009; Yuan et al., 2014) and rehabilitation robots (Lum et al., 2002; Staubli et al., 2009), to follow predetermined trajectories.”
MethodRobot-Assisted and Device-Based Rehabilitation of the Upper Extremity
Sailer, M., Sweeney‐Reed, C. M., & Lamprecht, J. (2017) · Neurology International Open · doi:10.1055/s-0043-116174 · Cited by 8
“The MIT-Manus [9] or the MIME (Mirror Image Motion Enabler) [10], as well as devices for finger movement, such as RehaDigit [11], are prototypes of such end-effector devices for the therapy of a functional disorder of the upper limb.”
BackgroundMethodSimonetti, D., Zollo, L., Papaleo, E., Carpino, G., & Guglielmelli, E. (2016) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.11.002 · Cited by 8
Design of a robot-assisted exoskeleton for passive wrist and forearm rehabilitation
KÜTÜK, M. E., Dülger, L. C., & Daş, M. T. (2019) · Mechanical sciences · doi:10.5194/ms-10-107-2019 · Cited by 8
“MITMANUS (Krebs et al., 1998) and MIME (Lum et al., 2002) are included in the first part.”
Human-Exoskeleton Joint Coordination Assessment: A Case Study on the Shoulder and Elbow Joints
Delgado, P., Rincon, C., & Yihun, Y. (2022) · Journal of Bionic Engineering · doi:10.1007/s42235-022-00226-9 · Cited by 8
Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review
Bressi, F., Cricenti, L., Campagnola, B., Bravi, M., Miccinilli, S., Santacaterina, F., Sterzi, S., Straudi, S., Agostini, M., Paci, M., et al. (2022) · Neurorehabilitation · doi:10.3233/nre-220149 · Cited by 9
Huq, R., Wang, R. H., Lu, E. C., Hébert, D., Lacheray, H., & Mihailidis, A. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650472 · Cited by 8
“The Mirror Image Movement Enabler (MIME) therapy system [7] uses a six-degree of freedom (DOF) robot manipulator that applies forces through an orthosis to a user's affected arm in order to accomplish goal-directed movements in 3D space.”
MethodROBOT-ASSISTED STROKE REHABILITATION: JOINT TORQUE/FORCE CONVERSION FROM EMG USING GA PROCESS
Parasuraman, S., & Oyong, A. W. (2010) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519411003880 · Cited by 8
A study to understand lead-lag performance of subject vs rehabilitation system
Chemuturi, R., Amirabdollahian, F., & Dautenhahn, K. (2012) · Augmented Human International Conference · doi:10.1145/2160125.2160128 · Cited by 8
Lledó, L. D., Bertomeu-Motos, A., Díez, J., Badesa, F. J., Morales, R., Sabater-Navarro, J. M., & García-Aracil, N. (2015) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2015.328 · Cited by 8
Virtual reality based robotic therapy for stroke rehabilitation: An initial study
Wu, H., Liu, J., Handroos, H., Miraftabi, B., Heinonen, A. O., Peurala, S. H., Tarkka, I. M., Rossi, M., & Nousiainen, S. (2011) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2011.5985831 · Cited by 8
Haptic training method for a therapy on upper limb
Silva, A. J., Domínguez-Ramírez, O. A., & Parra‐Vega, V. (2010) · International Conference on Biomedical Engineering and Informatics (BMEI) · doi:10.1109/bmei.2010.5640030 · Cited by 8
Wearable Sensing for Bio-feedback in Human Robot Interaction
Lin, Y., & Schmidt, D. M. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-18191-2_14 · Cited by 8
Markovian Robust Compliance Control Based on Electromyographic Signals
Jutinico, A. L., Escalante, F. M., Jaimes, J. C., Terra, M. H., & Siqueira, A. A. G. (2018) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2018.8487672 · Cited by 8
“Rehabilitation Robotics (RR) is a research area where interactive robots are used to recover motor functions of people with neurological injuries [1], [2], [3].”
BackgroundAn Adaptive Shared Control of a Novel Robotic Walker for Gait Rehabilitation of Stroke Patients
Ye, J., Gong, C., Liu, Q., Duan, L., Shang, W., Yao, X., Long, J., Wang, Y., Wu, Z., & Wang, C. (2018) · IEEE International Conference on Intelligence and Safety for Robotics (ISR) · doi:10.1109/iisr.2018.8535892 · Cited by 8
“To address these requirements, an admittance semi-empirical model with velocity-dependent damping was identified [18]”
MethodArduino based arm rehabilitation assistive device
Ambar, R., Ahmad, M. S., Mohd Ali, A. M., & Jamil, M. M. A. (2011) · UTHM Institutional Repository (Universiti Tun Hussein Onn Malaysia) · Cited by 8
Fries, W., & Freivogel, S. (2010) · Springer eBooks · doi:10.1007/978-3-642-12915-5_16 · Cited by 8
Fischer, H. C., Kahn, L. E., Pelosin, E., Roth, H., Barbas, J., Rymer, W. Z., & Reinkensmeyer, D. J. (2006) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2006.1639199 · Cited by 8
“Subsequently, two devices, MIME [9] and ARM Guide [8], expanded the investigations of therapeutic applications of robots into the chronic stroke population.”
MethodReal-time fuzzy trajectory generation for robotic rehabilitation therapy
Martin, P., & Emami, M. R. (2009) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2009.5209533 · Cited by 8
“Though the results from clinical trials that have been performed using existing robotic solutions have been somewhat mixed, some groups have reported equal or greater improvements in the duration of treatment and motor functioning of patients treated with robotic rehabilitation systems over conventional physical thera…”
BackgroundZhang, L., Jiao, Z., Li, Y., & Chang, Y. (2025) · Biosensors · doi:10.3390/bios15040259 · Cited by 7
Attention Enhancement and Motion Assistance for Virtual Reality-Mediated Upper-Limb Rehabilitation
Li, M., Guo, W., Xu, J., Xue, S., Wu, D., Liang, Z., Yuan, H. M., Xie, J., Xu, G., & Althoefer, K. A. (2020) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2020.3031006 · Cited by 7
“, Ltd, Shenzhen, China) is used here as the input device to mimic the feeling of holding a handle that is commonly used in upperlimb rehabilitation devices [12], [13].”
MethodDewald, J. P. A., Ellis, M. D., Acosta, A. M., Sohn, M. H., & Plaisier, T. A. M. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_5 · Cited by 7
Syringas, P., Potsika, V. T., Tachos, N. S., Pardalis, A. A., Papaioannou, C., Mitsis, A., Pakos, E. E., Zestas, O. N., Papagiannis, G. I., Triantafyllou, A. I., et al. (2025) · Healthcare · doi:10.3390/healthcare13010091 · Cited by 7
“While robotic devices offer the advantage of optimizing therapists’ time, it remains unclear whether they yield superior rehabilitation outcomes compared to CP [15].”
An end-effector based upper-limb rehabilitation robot: Preliminary mechanism design
Ponomarenko, Y., Aubakir, B., Hussain, S., & Shintemirov, A. (2014) · France-Japan / Europe-Asia Congress on Mecatronics (MECATRONICS) · doi:10.1109/mecatronics.2014.7018564 · Cited by 7
“Robotic devices may offer the required amount of motor practice and reduce the effort of therapists conducting the rehabilitation procedure [16], [17].”
BackgroundGesteme-free context-aware adaptation of robot behavior in human–robot cooperation
Nessi, F., Beretta, E., Gatti, C., Ferrigno, G., & Momi, E. D. (2016) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2016.10.001 · Cited by 7
Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems
Brookes, J., Kuznecovs, M., Kanakis, M., Grigals, A., Narvidas, M., Gallagher, J. F., & Levesley, M. C. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009326 · Cited by 7
Development of LeHab robot for human lower limb movement rehabilitation
Rachakorakit, M., & Charoensuk, W. (2017) · Biomedical Engineering International Conference · doi:10.1109/bmeicon.2017.8229148 · Cited by 7
Upper Limb Wearable Exoskeleton Systems for Rehabilitation
Shen, Y., Ferguson, P. W., Ma, J., & Rosén, J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811810-8.00004-x · Cited by 7
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
