The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Differentiating ability in users of the ReWalkTM powered exoskeleton: An analysis of walking kinematics
Abstract
The ReWalk(TM) powered exoskeleton assists thoracic level motor complete spinal cord injury patients who are paralyzed to walk again with an independent, functional, upright, reciprocating gait. We completed an evaluation of twelve such individuals with promising results. All subjects met basic criteria to be able to use the ReWalk(TM)--including items such as sufficient bone mineral density, leg passive range of motion, strength, body size and weight limits. All subjects received approximately the same number of training sessions. However there was a wide distribution in walking ability. Walking velocities ranged from under 0.1m/s to approximately 0.5m/s. This variability was not completely explained by injury level The remaining sources of that variability are not clear at present. This paper reports our preliminary analysis into how the walking kinematics differed across the subjects--as a first step to understand the possible contribution to the velocity range and determine if the subjects who did not walk as well could be taught to improve by mimicking the better walkers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The ReWalk exoskeleton provides powered hip and knee motion to enable individuals with SCI to stand upright and walk.
“The ReWalk exoskeleton developed by ReWalk Robotics (Marlborough, MA, USA; Figure 2A) is a LEEs that provides powered hip and knee motion to enable individuals with SCI to stand upright and walk [32], [33].”
From Recent developments and challenges of lower extremity exoskeletons (2016) · cites this paper as [33]
Citations
Cites
Esquenazi, A., Talaty, M., Packel, A., & Saulino, M. (2012) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e318269d9a3 · Cited by 958
Self-citationFührer, M. J., Rintala, D. H., Hart, K. A., Clearman, R. R., & Young, M. E. (1992) · PubMed · Cited by 357
Correlates of life satisfaction among persons with spinal cord injury
Dijkers, M. P. J. M. (1999) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/s0003-9993(99)90076-x · Cited by 290
A Systematic Review of Therapeutic Interventions for Pressure Ulcers After Spinal Cord Injury
Regan, M., Teasell, R. W., Wolfe, D. L., Keast, D. H., Mortenson, W. B., & Aubut, J.-A. L. (2009) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2008.08.212 · Cited by 179
Shoulder pain in persons with thoracic spinal cord injury: Prevalence and characteristics
Alm, M., Saraste, H., & Norrbrink, C. (2008) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-0173 · Cited by 178
LIFE SATISFACTION OF PERSONS WITH SPINAL CORD INJURY COMPARED TO A POPULATION GROUP
Post, M. W. M. (1998) · Scandinavian Journal of Rehabilitation Medicine · doi:10.1080/003655098444282 · Cited by 167
Bone mineral status in paraplegic patients who do or do not perform standing
Goemaere, S., Laere, M. V., Neve, P. D., & Kaufman, J. (1994) · Osteoporosis International · doi:10.1007/bf01623058 · Cited by 151
Spinal Cord Injury Medicine. 3. Rehabilitation Phase After Acute Spinal Cord Injury
Kirshblum, S., Priebe, M. M., Ho, C., Scelza, W. M., Chiodo, A. E., & Wuermser, L.-A. (2007) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2006.12.003 · Cited by 146
Reciprocating gait orthoses: A multicenter study of their use by spinal cord injured patients
Franceschini, M., Baratta, S., Zampolini, M., Loria, D., & Lotta, S. (1997) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/s0003-9993(97)90422-6 · Cited by 65
Chapter 3 Electrical stimulation for therapy and mobility after spinal cord injury
Stein, R. B., Chong, S. L., James, K. B., Kido, A., Bell, G. J., Tubman, L. A., & Bélanger, M. (2002) · Progress in brain research · doi:10.1016/s0079-6123(02)37005-5 · Cited by 65
Wheelchair accessibility of public buildings: a review of the literature
Welage, N., & Liu, K. P. Y. (2010) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2010.522680 · Cited by 63
Li, K., Grynbaum, B. B., RUSK, H. A., Anastasia, T., & Gassler, S. (1966) · PubMed · Cited by 36
Neuromusculoskeletal Syndromes in Wheelchair Athletes
Groah, S. L., & Lanig, I. S. (2000) · Seminars in Neurology · doi:10.1055/s-2000-9829 · Cited by 32
Preventing pressure sores among wheelchair users.
Wall, J. (2000) · PubMed · Cited by 13
Flagged first, then by citations
Research works printed but not linked: 3
- esquenazi, 2002, Normal and pathological gait analysis, Physical Medicine &Rehabilitation The Complete Approach 2000
- chafetz, 2008, Lower limb orthoses for persons with spinal cord injuriy, AAOS Atlas of Orthoses and Assistive Devices
- 0, Resources for Entertainment Education Content Developers
Cited by
Sorted by citations
Review of assistive strategies in powered lower-limb orthoses and exoskeletons
Yan, T., Cempini, M., Oddo, C. M., & Vitiello, N. (2014) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.09.032 · Cited by 721
Recent developments and challenges of lower extremity exoskeletons
Chen, B., Ma, H., Qin, L.-Y., Gao, F., Chan, K.-M., Law, S.-W., Qin, L., & Liao, W.-H. (2016) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2015.09.007 · Cited by 501
“The ReWalk exoskeleton developed by ReWalk Robotics (Marlborough, MA, USA; Figure 2A) is a LEEs that provides powered hip and knee motion to enable individuals with SCI to stand upright and walk [32,33].”
MethodMiller, L. E., Zimmermann, A. K., & Herbert, W. G. (2016) · Medical Devices Evidence and Research · doi:10.2147/mder.s103102 · Cited by 319
Development of Active Lower Limb Robotic-Based Orthosis and Exoskeleton Devices: A Systematic Review
Kalita, B., Narayan, J., & Dwivedy, S. K. (2020) · International Journal of Social Robotics · doi:10.1007/s12369-020-00662-9 · Cited by 205
Lajeunesse, V., Vincent, C., Routhier, F., Careau, E., & Michaud, F. (2015) · Disability and Rehabilitation Assistive Technology · doi:10.3109/17483107.2015.1080766 · Cited by 177
Tsukahara, A., Hasegawa, Y., Eguchi, K., & Sankai, Y. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2364618 · Cited by 173
Benson, I., Hart, K., Tussler, D., & van Middendorp, J. J. (2015) · Clinical Rehabilitation · doi:10.1177/0269215515575166 · Cited by 172
Design of a passive lower limb exoskeleton for walking assistance with gravity compensation
Zhou, L., Chen, W., Chen, W., Bai, S., Zhang, J., & Wang, J. (2020) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2020.103840 · Cited by 140
Design and development of lower limb exoskeletons: A survey
Aliman, N., Ramli, R., & Haris, S. M. (2017) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2017.05.013 · Cited by 133
Federici, S., Meloni, F., Bracalenti, M., & Filippis, M. L. D. (2015) · Neurorehabilitation · doi:10.3233/nre-151265 · Cited by 130
Kressler, J., Thomas, C. K., Field-Fote, E. C., Sanchez, J. C., Widerström-Noga, E. G., Cilien, D. C., Gant, K. L., Ginnety, K., González, H. F. J., Martínez, A., et al. (2014) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2014.04.026 · Cited by 122
Systematic Review on Wearable Lower Extremity Robotic Exoskeletons for Assisted Locomotion
Qiu, S., Pei, Z., Wang, C., & Tang, Z. (2022) · Journal of Bionic Engineering · doi:10.1007/s42235-022-00289-8 · Cited by 116
A wearable exoskeleton suit for motion assistance to paralysed patients
Chen, B., Zhong, C.-H., Zhao, X., Ma, H., Guan, X., Li, X., Liang, F., Cheng, J. C. Y., Qin, L., Law, S. W., et al. (2017) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2017.02.007 · Cited by 110
Fisahn, C., Aach, M., Jansen, O., Moisi, M. D., Mayadev, A. S., Pagarigan, K. T., Dettori, J. R., & Schildhauer, T. A. (2016) · Global Spine Journal · doi:10.1055/s-0036-1593805 · Cited by 96
McGibbon, C. A., Sexton, A., Jayaraman, A., Deems-Dluhy, S., Gryfe, P., Novak, A. C., Dutta, T., Fabara, E. E., Adans-Dester, C. P., & Bonato, P. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0468-6 · Cited by 81
Lower Limb Exoskeleton Systems—Overview
Lee, H., Ferguson, P. W., & Rosén, J. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814659-0.00011-4 · Cited by 78
Passive and Active Exoskeleton Solutions: Sensors, Actuators, Applications, and Recent Trends
Preethichandra, D. M. G., Piyathilaka, L., Sul, J.-H., Izhar, U., Samarasinghe, R., Arachchige, S. D., & de Silva, L. C. (2024) · Sensors · doi:10.3390/s24217095 · Cited by 76
Deng, W., Papavasileiou, I., Qiao, Z., Zhang, W., Lam, K.-Y., & Han, S. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2018.2830805 · Cited by 72
Tu, Y., Zhu, A., Song, J., Shen, H., Shen, Z., Zhang, X., & Cao, G. (2020) · Applied Sciences · doi:10.3390/app10072536 · Cited by 71
Sale, P., Russo, E. F., Russo, M., Masiero, S., Piccione, F., Calabrò, R. S., & Filoni, S. (2016) · BMC Neurology · doi:10.1186/s12883-016-0536-0 · Cited by 71
Gil-Agudo, A. M., Megía‐García, Á., Pons, J. L., Sinovas-Alonso, I., Comino‐Suárez, N., Lozano-Berrio, V., & del‐Ama, A. J. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01158-z · Cited by 75
Robotics for Lower Limb Rehabilitation
Esquenazi, A., & Talaty, M. C. (2019) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2018.12.012 · Cited by 75
Self-citationSong, J., Zhu, A., Tu, Y., Zhang, X., & Cao, G. (2022) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2022.3204921 · Cited by 66
Tamburella, F., Lorusso, M., Tramontano, M., Fadlun, S., Masciullo, M., & Scivoletto, G. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-01003-9 · Cited by 65
Retraining of Human Gait - Are Lightweight Cable-Driven Leg Exoskeleton Designs Effective?
Jin, X. H., Prado, A., & Agrawal, S. K. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2815656 · Cited by 58
Modeling and Simulation of a Lower Extremity Powered Exoskeleton
Fournier, B. N., Lemaire, E. D., Smith, A., & Doumit, M. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2854605 · Cited by 57
Development and analysis of an electrically actuated lower extremity assistive exoskeleton
Long, Y., Du, Z., Chen, C., Wang, W., He, L., Mao, X., Xu, G., Zhao, G., Li, X., & Dong, W. (2017) · Journal of Bionic Engineering · doi:10.1016/s1672-6529(16)60397-9 · Cited by 53
Neuromechanical adaptations during a robotic powered exoskeleton assisted walking session
Ramanujam, A., Cirnigliaro, C. M., Garbarini, E. L., Asselin, P. K., Pilkar, R. B., & Forrest, G. F. (2017) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2017.1314900 · Cited by 53
Balance and stability issues in lower extremity exoskeletons: A systematic review
Hamza, M. F., Ghazilla, R. A. R., Muhammad, B. B., & Yap, H. J. (2020) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2020.09.004 · Cited by 53
Chen, B., Zhao, X., Ma, H., Qin, L., & Liao, W. (2017) · Smart Materials and Structures · doi:10.1088/1361-665x/aa8343 · Cited by 50
Lower limb rehabilitation robotics: The current understanding and technology
Bhardwaj, S., Khan, A. A., & Muzammil, M. (2021) · Work · doi:10.3233/wor-205012 · Cited by 49
Zhou, L., Chen, W., Wang, J., Bai, S., Yu, H., & Zhang, Y. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2018.2872011 · Cited by 48
Chen, B., Zhong, C.-H., Zhao, X., Ma, H., Qin, L., & Liao, W. (2019) · IEEE Access · doi:10.1109/access.2019.2904296 · Cited by 48
Development of a novel autonomous lower extremity exoskeleton robot for walking assistance
He, Y., Li, N., Wang, C., Xia, L., Xu, Y., & Wu, X. (2019) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.1800561 · Cited by 48
Motion Optimization and Parameter Identification for a Human and Lower Back Exoskeleton Model
Manns, P., Sreenivasa, M., Millard, M., & Mombaur, K. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2676355 · Cited by 45
Dynamic Balance Gait for Walking Assistance Exoskeleton
Chen, Q., Cheng, H., Yue, C., Huang, R., & Guo, H. (2018) · Applied Bionics and Biomechanics · doi:10.1155/2018/7847014 · Cited by 45
Chisholm, A. E., Alamro, R. A., Williams, A. M. M., & Lam, T. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0236-z · Cited by 41
Redkar, S. (2017) · International Robotics & Automation Journal · doi:10.15406/iratj.2017.03.00080 · Cited by 43
Agarwal, P., & Deshpande, A. D. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190455132.003.0011 · Cited by 39
Gait robot-assisted rehabilitation in persons with spinal cord injury: A scoping review
Stampacchia, G., Gazzotti, V., Olivieri, M., Andrenelli, E., Bonaiuti, D., Calabrò, R. S., Carmignano, S. M., Cassio, A., Fundarò, C., Companini, I., et al. (2022) · Neurorehabilitation · doi:10.3233/nre-220061 · Cited by 33
Walking of biped with passive exoskeleton: evaluation of energy consumption
Aoustin, Y., & Formalskii, A. M. (2017) · Multibody System Dynamics · doi:10.1007/s11044-017-9602-7 · Cited by 32
A quasi-passive lower limb exoskeleton for partial body weight support
Collo, A., Bonnet, V., & Venture, G. (2016) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2016.7523698 · Cited by 31
Wearable rehabilitation exoskeletons of the lower limb: analysis of versatility and adaptability
Plaza, A., Hernández, M., Puyuelo, G., Garces, E., & García, E. (2020) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2020.1858976 · Cited by 31
Gait Phase Classification of Lower Limb Exoskeleton Based on a Compound Network Model
Xia, Y., Li, J., Yang, D. F., & Wei, W. (2023) · Symmetry · doi:10.3390/sym15010163 · Cited by 30
Rajasekaran, V., López‐Larraz, E., Trincado-Alonso, F., Aranda, J., Montesano, L., del‐Ama, A. J., & Pons, J. L. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0345-8 · Cited by 34
Sit-to-stand and stand-to-sit assistance for paraplegic patients with CUHK-EXO exoskeleton
Chen, B., Zhong, C.-H., Ma, H., Guan, X., Qin, L.-Y., Chan, K., Law, S. W., Qin, L., & Liao, W. (2017) · Robotica · doi:10.1017/s0263574717000546 · Cited by 27
Autonomous Assistance-as-Needed Control of a Lower Limb Exoskeleton With Guaranteed Stability
Campbell, S. M., Diduch, C. P., & Sensinger, J. W. (2020) · IEEE Access · doi:10.1109/access.2020.2973373 · Cited by 27
Exoskelette in der Rehabilitation Querschnittgelähmter
Aach, M., Meindl, R. C., Geßmann, J., Schildhauer, T. A., Citak, M., & Cruciger, O. (2015) · Der Unfallchirurg · doi:10.1007/s00113-014-2616-1 · Cited by 27
A Wearable Soft Knee Exoskeleton Using Vacuum-Actuated Rotary Actuator
Zhang, L., Huang, Q., Cai, K., Wang, Z., Wang, W., & Liu, J. (2020) · IEEE Access · doi:10.1109/access.2020.2983790 · Cited by 26
Adaptive CPG-Based Impedance Control for Assistive Lower Limb Exoskeleton
Luo, R., Sun, S., Zhao, X., Zhang, Y., & Tang, Y. (2018) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2018.8664912 · Cited by 25
Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study
Lonini, L., Shawen, N., Scanlan, K. T., Rymer, W. Z., Kording, K. P., & Jayaraman, A. (2016) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-016-0142-9 · Cited by 25
Song, Z., Tian, C., & Dai, J. S. (2019) · Mechanical sciences · doi:10.5194/ms-10-11-2019 · Cited by 25
Lajeunesse, V., Routhier, F., Vincent, C., Lettre, J., & Michaud, F. (2018) · Technology and Disability · doi:10.3233/tad-180195 · Cited by 24
New wearable exoskeleton for gait rehabilitation assistance integrated with mobility system
Ko, C., Ko, J., Kim, H. J., & Lim, D. (2016) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-016-0117-6 · Cited by 22
Exoskeleton as a New Means in Habilitation and Rehabilitation of Invalids (Review)
Vorobyev, A. A., Петрухин, А. В., Александровна, З. О., Станиславовна, К. П., & Поздняков, А. М. (2015) · Современные технологии в медицине · doi:10.17691/stm2015.7.2.22 · Cited by 21
Design and control of robotic exoskeleton with balance stabilizer mechanism
Li, L., Hoon, K. H., Tow, A. M., Lim, P. H., & Low, K. H. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7353913 · Cited by 20
Wang, C., Guo, Z., Duan, S., He, B., Yuan, Y., & Wu, X. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.645374 · Cited by 20
Zhang, Y., Cao, G., Li, W., Chen, J., Li, L., & Diao, D. (2021) · Applied Sciences · doi:10.3390/app112110329 · Cited by 20
Weight Distribution of a Knee Exoskeleton Influences Muscle Activities During Movements
Liu, Y., Zhang, L., Wang, R., Smith, C., & Gutierrez-Farewik, E. M. (2021) · IEEE Access · doi:10.1109/access.2021.3091649 · Cited by 20
A Motion Control of Soft Gait Assistive Suit by Gait Phase Detection Using Pressure Information
Miyazaki, T., Tagami, T., Morisaki, D., Miyazaki, R., Kawase, T., Kanno, T., & Kawashima, K. (2019) · Applied Sciences · doi:10.3390/app9142869 · Cited by 19
Yang, Y. M., Dong, X., Liu, X., & Huang, D. (2020) · IEEE Access · doi:10.1109/access.2020.2971777 · Cited by 19
Powered single hip joint exoskeletons for gait rehabilitation: a systematic review and Meta-analysis
Daliri, M., Ghorbani, M., Akbarzadeh, A., Negahban, H., Ebrahimzadeh, M., Rahmanipour, E., & Moradi, A. (2024) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-024-07189-4 · Cited by 15
Design of an anthropomorphic lower extremity exoskeleton with compatible joints
Yang, W., Yang, C.-J., & Wei, Q. (2014) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2014.7090525 · Cited by 18
Chereshnev, R., & Kertész‐Farkas, A. (2018) · Sensors · doi:10.3390/s18124146 · Cited by 18
Grabler, R., & Koeszegi, S. T. (2024) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3689216 · Cited by 17
A Muscle-First, Electromechanical Hybrid Gait Restoration System in People With Spinal Cord Injury
Nandor, M. J., Kobetic, R., Audu, M. L., Triolo, R. J., & Quinn, R. D. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.645588 · Cited by 17
Lv, G., Zhu, H., Elery, T., Li, L., & Gregg, R. D. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487529 · Cited by 17
Lower limb exoskeletons: brief review
Ergasheva, B. I. (2017) · Scientific and technical journal of information technologies mechanics and optics · doi:10.17586/2226-1494-2017-17-6-1153-1158 · Cited by 16
Parametric Gait Online Generation of a Lower-limb Exoskeleton for Individuals with Paraplegia
Zheng, T., Zhu, Y., Zhang, Z., Zhao, S., Chen, J., & Zhao, J. (2018) · Journal of Bionic Engineering · doi:10.1007/s42235-018-0082-0 · Cited by 16
Powered Orthosis Ortholeg: Design and Development
de Araújo, M. V., Alsina, P. J., Roza, V. C. C., & Melo, N. B. (2015) · IEEE Latin America Transactions · doi:10.1109/tla.2015.7040633 · Cited by 16
Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
Yue, C., Lin, X., Zhang, X., Qiu, J., & Cheng, H. (2018) · Applied Bionics and Biomechanics · doi:10.1155/2018/8610458 · Cited by 16
Stair-ascent strategies and performance evaluation for a lower limb exoskeleton
Xu, F., Huang, R., Cheng, H., Qiu, J., Xiang, S., Shi, C., & Ma, W. (2020) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-020-00123-6 · Cited by 15
Detecting self-paced walking intention based on fNIRS technology for the development of BCI
Li, C., Xu, J., Zhu, Y., Kuang, S., Qu, W., & Sun, L. (2020) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02140-w · Cited by 14
Yang, B.-R., Lee, H.-H., & Tanaka, E. (2020) · Journal of Advanced Mechanical Design Systems and Manufacturing · doi:10.1299/jamdsm.2020jamdsm0036 · Cited by 13
Fahn, C. W. (2020) · Philosophies · doi:10.3390/philosophies5030011 · Cited by 13
Design and analysis of a lightweight lower extremity exoskeleton with novel compliant ankle joints
He, Y., Liu, J., Li, F., Cao, W., & Wu, X. (2021) · Technology and Health Care · doi:10.3233/thc-213177 · Cited by 13
A Challenge: Support of Standing Balance in Assistive Robotic Devices
Lippi, V., & Mergner, T. (2020) · Applied Sciences · doi:10.3390/app10155240 · Cited by 13
Ren, B. S., Liu, J., & Chen, J. (2020) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881419893493 · Cited by 12
Ma, Q., Ji, L., & Wang, R. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2774295 · Cited by 12
Design of Mechanism and Control System for a Lightweight Lower Limb Exoskeleton
Hu, B., Yu, H., Lu, H., & Chang, Y. (2018) · International Conference on Control, Robotics and Cybernetics (CRC) · doi:10.1109/crc.2018.00025 · Cited by 11
Control of power-augmenting lower extremity exoskeleton while walking with heavy payload
Choi, B., Seo, C., Lee, S., & Kim, B. (2019) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881419830535 · Cited by 11
Running Motion Assistance Using a Soft Gait-Assistive Suit and Its Experimental Validation
Miyazaki, T., Kawase, T., Kanno, T., Sogabe, M., Nakajima, Y., & Kawashima, K. (2021) · IEEE Access · doi:10.1109/access.2021.3093209 · Cited by 11
Adaptive Adjustment Strategy for Walking Characteristics of Single-Legged Exoskeleton Robots
Lü, Z., Ye, D., Chen, Q., Liu, C., Hu, D., & Cheng, D. (2022) · Machines · doi:10.3390/machines10020134 · Cited by 10
Preliminary Design of Soft Exo-Suit for Arm Rehabilitation
Seth, D., Varma, V. K. H. V., Anirudh, P., & Kalyan, P. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22219-2_22 · Cited by 10
Locomotion Stability Analysis of Lower Extremity Augmentation Device
Wang, L., Chen, C., Dong, W., Du, Z., Shen, Y., & Zhao, G. (2019) · Journal of Bionic Engineering · doi:10.1007/s42235-019-0010-y · Cited by 10
Step length adaptation for walking assistance
Chen, Q., Cheng, H., Yue, C., Huang, R., & Guo, H. (2017) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2017.8015892 · Cited by 10
Stable Walking Feedback Control for a Self-Balanced Lower Limb Exoskeleton for Paraplegics
Li, J., Tian, D., Sun, J., Yin, M., Wang, Z., & Wu, X. (2023) · International Journal of Humanoid Robotics · doi:10.1142/s0219843623500068 · Cited by 9
Gonabadi, A. M., & Fallahtafti, F. (2025) · Applied Sciences · doi:10.3390/app15137530 · Cited by 9
Tripping Avoidance Lower Extremity Exoskeleton Based on Virtual Potential Field for Elderly People
Zhang, Z., Li, C., Zheng, T., Li, H., Zhao, S., Zhao, J., & Zhu, Y. (2020) · Sensors · doi:10.3390/s20205844 · Cited by 9
Chandran, V. D., Nam, S., Hexner, D., Bauman, W. A., & Pal, S. (2023) · PLoS ONE · doi:10.1371/journal.pone.0270078 · Cited by 9
Lower Extremity Transplantation: Concepts, Challenges, and Controversies
Gorantla, V. S., Zor, F., Nasır, S., Breidenbach, W. C., & Davis, M. R. (2017) · Springer eBooks · doi:10.1007/978-1-4939-7247-0_11 · Cited by 9
Design and Evaluation of an Active Ankle Exoskeleton in Gait Assistance
Dong, W., Liu, C., Zhang, Q., & Xiong, C. (2019) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim.2019.8868740 · Cited by 8
Robust Repetitive Learning Control of Lower Limb Exoskeleton with Hybrid Electro-hydraulic System
Yang, Y. M., Huang, D., & Dong, X. (2018) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls.2018.8516005 · Cited by 8
Yan, Z., Li, N., Long, X., Ren, H., & Wu, X. (2018) · IEEE International Conference on Cyborg and Bionic Systems (CBS) · doi:10.1109/cbs.2018.8612274 · Cited by 8
Zhang, P., Zhang, J., & Jia, J. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3330190 · Cited by 7
Swing Control of a Lower Extremity Exoskeleton Using Echo State Networks
Choi, B., Seo, C., Lee, S., Kim, B., & Kim, D.-J. (2017) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2017.08.220 · Cited by 7
Design and Analysis of a Lower Limb Exoskeleton for Rehabilitation
Prado, G. V., Yli-Peltola, R., & Sánchez, M. (2019) · Mechanisms and machine science · doi:10.1007/978-3-030-16423-2_10 · Cited by 7
Lower Limbs Exoskeleton Control System Based on Intelligent Human-Machine Interface
Kagirov, I., Karpov, A. A., Kipyatkova, I. S., Klyuzhev, K., Kudryavcev, A., Kudryavcev, I., & Ryumin, D. (2019) · Studies in computational intelligence · doi:10.1007/978-3-030-32258-8_54 · Cited by 7
Trajectory Design and Adaptive Impedance Control of Lower Limb Exoskeleton
An, M., Wang, X., Miao, Y., Wang, S., & Miao, Y. (2021) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea51954.2021.9516090 · Cited by 7
Adaptive walking assistance based on human-orthosis interaction
Rajasekaran, V., Aranda, J., & Casals, A. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7354260 · Cited by 7
Metadata
- Authors
- Talaty, M., Esquenazi, A., & Briceno, J. E.
- Affiliations
- Moss Rehabilitation Hospital (US)
- Universidad Simón Bolívar (VE)
- ORCID
- Esquenazi, Alberto
- Venue
- 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)
- Publisher
- IEEE
- Published
- 2013-06
- Volume
- 2013
- Pages
- 1-5
- ISSN
- 1945-7898 (ISSN-L)
- OpenAlex
- W2123950545
- Cited by
- 207
- References
- 14
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 8 · 2023: 10 · 2022: 22 · 2021: 18 · 2020: 26 · 2019: 26 · 2018: 30 · 2017: 22 · 2016: 11 · 2015: 14 · 2014: 5
- FWCI
- 19.82
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Rehabilitation Robotics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Health Sciences › Medicine › Clinical Neurology › Spinal Cord Injury Research
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- spinal cord injury, gait kinematics, walking speed, gait training, gait imitation, assistive robotics
- MeSH terms
- Ankle Joint, Biomechanical Phenomena, Hip Joint, Humans, Robotics, Spinal Cord Injuries, Task Performance and Analysis, Range of Motion, Articular, Walking
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
