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

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

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

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1109/tnsre.2008.2008280

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

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
Lotze, M. (2003) · Brain · doi:10.1093/brain/awg079 · Cited by 691
A series elastic- and Bowden-cable-based actuation system for use as torque actuator in exoskeleton-type robots
Veneman, J. F., Ekkelenkamp, R., Kruidhof, R., van der Helm, F. C. T., & van der Kooij, H. (2006) · The International Journal of Robotics Research · doi:10.1177/0278364906063829 · Cited by 428
Effects of Locomotion Training With Assistance of a Robot-Driven Gait Orthosis in Hemiparetic Patients After Stroke: A Randomized Controlled Pilot Study
Husemann, B., Müller, F., Krewer, C., Heller, S., & Koenig, E. (2007) · Stroke · doi:10.1161/01.str.0000254607.48765.cb · Cited by 418
Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery
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
Banala, S. K., Agrawal, S. K., & Scholz, J. P. (2007) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2007.4428456 · Cited by 320
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

Show all 15 references

Research works printed but not linked: 2

0, Post-stroke rehabilitation fact sheet
0, Aha statistics

Sorted by citations

Items 501–600 of 751

Simulation of an ankle rehabilitation system based on scotch- yoke mechanism
Cazacu, C.-M., Doroftei, I., Plesu, G., & Doroftei, I. A. (2016) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/147/1/012084 · Cited by 4
Mechanical design optimization of a series elastic actuator considering the control performance
Woo, H., & Kong, K. (2019) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir-05-2018-0094 · Cited by 4
Iterative Learning Control for the Shank Part of Lower Limb Exoskeleton
Wang, Z., & Ding, Z. (2019) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2019.8865128 · Cited by 4
A New 4-DOF Robot for Rehabilitation of Knee and Ankle-Foot Complex: Simulation and Experiment
Alipour, A., Mahjoob, M. J., & Nazarian, A. (2022) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v3i4.14759 · Cited by 4
Application Issues for Robotics
Wirz, M., & Rupp, R. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_8 · Cited by 4
Cable-Conduit-Driven Parallel Hip Exoskeleton and Its Implementation in Rehabilitation Training
Wang, X., Guo, S. L., Niu, L., Liu, D.-X., & Chen, G. (2022) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio55434.2022.10011900 · Cited by 4
Effect of Pelvic Movement on Healthy Subjects During Gait Training Using a Gait Rehabilitation System
Son, C., Moon, H., Kim, D., Chun, M. H., Kim, S., & Choi, J. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512766 · Cited by 4
Design and Development of a Mechanism for Lower Limb Movement
Aggogeri, F., Borboni, A., Pellegrini, N., & Adamini, R. (2019) · International Journal of Mechanical Engineering and Robotics Research · doi:10.18178/ijmerr.8.6.911-920 · Cited by 4
Introduction to Robotics for Gait Assistance and Rehabilitation
M., S. D. S., Arciniegas-Mayag, L., Bautista, M., Pinto-Bernal, M. J., Céspedes, N., Múnera, M., & Cifuentes, C. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-79630-3_1 · Cited by 4
An Assistive Passive Pelvic Device for Gait Training and Rehabilitation Using Locomotion Dynamic Model
Mokhtarian, A., Fattah, A., & Agrawal, S. K. (2013) · Indian Journal of Science and Technology · doi:10.17485/ijst/2013/v6i3/31223 · Cited by 4
Development of Foot Modules of an Exoskeleton Equipped with Multiple Sensors for Detecting Walking Phase and Intent
Son, B. J., Baek, Y. S., & Kim, J. (2015) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.752-753.1016 · Cited by 4
Intentional Movement Performance Ability (IMPA): A method for robot-aided quantitative assessment of motor function
Shin, S. Y., Kim, J., Lee, S., Lee, J., Kim, S., & Kim, C. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650498 · Cited by 4
Union simulation on lower limbs rehabilitation robot based on MATLAB and ADAMS
Liao, C., Zhang, J., Chen, W., & Lv, M. (2015) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2015.7334174 · Cited by 4
Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensors
Naik, G. R., Pendharkar, G., & Nguyen, H. T. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591117 · Cited by 4
Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot
Liang, X., Wang, W., Hou, Z., Ren, S., Wang, J., Shi, W., Peng, L., & Su, T. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857186 · Cited by 4
Modeling of a Novel Lower Limb Exoskeleton System for Paraplegic Patients
Gupta, M., Narayan, J., & Dwivedy, S. K. (2020) · Lecture notes in mechanical engineering · doi:10.1007/978-981-15-0772-4_18 · Cited by 4
Force adaptation in human walking with symmetrically applied downward forces on the pelvis
Vashista, V., Agrawal, N., Shaharudin, S., Reisman, D. S., & Agrawal, S. K. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346673 · Cited by 4
Transformer-based multitask assist control from first-person view image and user’s kinematic information for exoskeleton robots
Furukawa, J.-I., & Morimoto, J. (2025) · npj Robotics · doi:10.1038/s44182-025-00033-4 · Cited by 3
Training toddlers seated on mobile robots to drive indoors amidst obstacles
Chen, X., Ragonesi, C., Agrawal, S. K., & Galloway, J. C. (2010) · 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics · doi:10.1109/biorob.2010.5627809 · Cited by 8
Robust neural network controller for a lower limb exoskeleton with minimal sensor configuration: a deep reinforcement learning approach with policy distillation
Luo, S., Feng, K., Androwis, G. J., Adamovich, S., Nunez, E. H., Su, H., & Zhou, X. A. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01854-y · Cited by 5
Assist-as-Needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-Loop Optimization
Qian, Y., Xiong, J., Yu, H., & Fu, C. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2026.3660874 · Cited by 5
Quantification of the effects of robotic-assisted gait training on upper and lower body strategy during gait in diplegic children with Cerebral Palsy using summary parameters
Piccinini, L., Cimolin, V., Storm, F. A., Girolamo, G. D., Biffi, E., Galli, M., & Condoluci, C. (2021) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2021.1938009 · Cited by 3
Study on Ergonomic Design of Artificial Intelligence Lower Limb Assist Brace for the Elderly
Yu, Z. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/3304513 · Cited by 3
Preliminary Virtual Constraint-Based Control Evaluation on a Pediatric Lower-Limb Exoskeleton
Goo, A. C., Laubscher, C. A., Wajda, D. A., & Sawicki, J. T. (2024) · Bioengineering · doi:10.3390/bioengineering11060590 · Cited by 3
Gait Symmetric Adaptation and Aftereffect Through Concurrent Split-Belt Treadmill Walking and Explicit Visual Feedback Distortion
Kim, S.-J., Save, O. M., Tanner, E., Marquez, A., & Lee, H. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3491906 · Cited by 3
Application of Grey predictor in controlling 5 DOF power assistant robot
Khoa, L. D., Cheon, K., & Ahn, K. K. (2012) · Cited by 3
Experimental assessment of gait with rhythmic auditory perturbations
Forner‐Cordero, A., Itiki, C., de Souza, R. S., Lourenço, J. C., & Krebs, H. I. (2014) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913790 · Cited by 3
Proxy-Based Impedance Control of a Cable-Driven Assistive System for Upper Extremity Rehabilitation
Kong, K., & Tomizuka, M. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.01645 · Cited by 3
Biomechatronic neurorehabilitation complex — Design, models and control
Orlov, I. A., Aliseychik, A. P., Platonov, A. K., Ptakhin, A., & Pavlovsky, V. E. (2014) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913875 · Cited by 3
A methodology to control walking speed of robotic gait rehabilitation system using feasibility-guaranteed trajectories
Jung, C.-Y., Choi, J., Park, S., & Kim, S. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7354174 · Cited by 3
Mechanical Analysis of a Hybrid Approach for a Lower Limb Rehabilitation Robot
Wanichnukhrox, N., Maneewarn, T., & Songschon, S. (2015) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.789-790.665 · Cited by 3
Dynamic Research of a Novel Exoskeleton with Level Walking
Pan, D., & Gao, F. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40852-6_71 · Cited by 3
Joint Trajectory Generation and Control for Overground Robot-based Gait Rehabilitation System MOPASS
Martinez, S. F., Kuzmicheva, O., & Graeser, A. (2016) · Augmented Human International Conference · doi:10.1145/2875194.2875232 · Cited by 3
Six-axis lower-limb exoskeleton control system based on Neural Networks
Alcivar-Molina, E., Hurel, J., Terán, E., Zamora-Olea, G., Ponguillo, R., & Loayza, F. R. (2018) · IEEE Ecuador Technical Chapters Meeting (ETCM) · doi:10.1109/etcm.2018.8580333 · Cited by 3
Intermittent Force Application of Wire-Driven Gait Training Robot to Encourage User to Learn an Induced Gait
Miyake, T., Kobayashi, Y., Fujie, M. G., & Sugano, S. (2018) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2018.8664811 · Cited by 3
Synthesis and Analysis of Jansen’s Leg-Based Mechanism for Gait Rehabilitation
Varma, D. S. M. (2020) · Lecture notes in mechanical engineering · doi:10.1007/978-981-15-4477-4_22 · Cited by 3
Design and Control of a Low-Cost EMG-Based Soft Robotic Ankle-Foot Orthosis for Foot Drop Rehabilitation
Gudapati, N., Kumaran, K., Deepak, S., Kanna, R. M., Jinesh, R., & Poddar, H. (2021) · Lecture notes in mechanical engineering · doi:10.1007/978-981-16-0550-5_130 · Cited by 3
Error-Related Negativity-Based Robot-Assisted Stroke Rehabilitation System: Design and Proof-of-Concept
Kumar, A., Gao, L., Li, J., Ma, J., Fu, J., Gu, X., Mahmoud, S. S., & Fang, Q. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.837119 · Cited by 3
A Deep Learning Model for Stroke Patients’ Motor Function Prediction
AlArfaj, A. A., Mahmoud, H. A. H., & Hafez, A. M. (2022) · Applied Bionics and Biomechanics · doi:10.1155/2022/8645165 · Cited by 3
Dynamic analysis and design of a multipurpose lower limb exoskeleton for rehabilitation
Li, G., Su, Q., Xi, W., Song, Z., Bao, R., & Du, Z. (2022) · International Journal of Advanced Robotic Systems · doi:10.1177/17298806221135140 · Cited by 3
Development of soft variable stiffness actuator with tendon-driven layer jamming mechanism
Ham, S., Kang, B. B., Kim, J., Hwang, S., & Kim, W. (2022) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob52689.2022.9925341 · Cited by 3
High-Order Control Barrier Function for Constraining Position in Motorized Rehabilitative Cycling
Sweatland, H. M., Isaly, A., & Dixon, W. E. (2022) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc51059.2022.9993186 · Cited by 3
Sliding Mode Control For Lower Limb Rehabilitation Exoskeleton Contacting With Floor
Faraj, M. A., Maalej, B., & Derbel, N. (2023) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd58187.2023.10411304 · Cited by 3
An attention-based motor imagery brain–computer interface system for lower limb exoskeletons
Ma, X., Chen, W., Pei, Z., & Zhang, J. (2024) · Review of Scientific Instruments · doi:10.1063/5.0243337 · Cited by 3
Wearable Robotic Approaches to Lower Extremity Gait Systems
Rovekamp, R., Francisco, G. E., Chang, S., & Beck, C. E. (2017) · Springer eBooks · doi:10.1007/978-1-4939-7247-0_5 · Cited by 3
Analysis of Plantar Pressure and Muscular Strength of Daily Activities with Change of Weight Support
Song, S., Heo, M. Q., Yu, C., Kim, K., & Kwon, T.-K. (2018) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-018-0143-7 · Cited by 3
DIMENSIONAL SYNTHESIS OF A GAIT REHABILITATION CABLE-SUSPENDED ROBOT ON MINIMUM 2-NORM TENSIONS
SHI, P., & Tang, L. (2021) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519421500469 · Cited by 3
Muscle Activation Differs Between Individuals During Initial Powered Ankle Exoskeleton Adaptation
Acosta-Sojo, Y., & Stirling, L. (2021) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181321651055 · Cited by 3
A novel magnetorheological damper combing multi-disc and multi-drum structures
Zou, J., Zhu, A., Song, J., Dang, D., Zhou, X., & Zhang, Y. (2022) · International Conference on Ubiquitous Robots (UR) · doi:10.1109/ur55393.2022.9826257 · Cited by 3
Generador de patrones de marcha tridimensionales dependientes de la velocidad para el control de exoesqueletos
Sorozábal, P., Delgado, G., Gutiérrez, Á., & Rocón, E. (2022) · Servizo de Publicacións da UDC eBooks · doi:10.17979/spudc.9788497498418.0128 · Cited by 3
Test-Stand Development and Performance Analysis of RoboWalk Assistive Device
Moosavian, S. A. A., Mahdizadeh, O., Akbari, V., Nabipour, M., Ghanaat, S., Naeemi, S., Hallajian, S., & Beydokhti, A. T. (2022) · RSI International Conference on Robotics and Mechatronics (ICRoM) · doi:10.1109/icrom57054.2022.10025131 · Cited by 3
Foot trajectory approximation using the pendulum model of walking
Fang, J., & Hunt, K. J. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-013-1117-7 · Cited by 3
A bio-inspired robotic orthosis for gait rehabilitation
Hussain, S., Xie, S. Q., & Jamwal, P. K. (2012) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2012.6290715 · Cited by 3
A neurally inspired robotic control algorithm for gait rehabilitation in hemiplegic stroke patients
Mishra, A., Ghosh, R., Coscia, M., Kukreja, S. L., Chisari, C., Micera, S., Yu, H., & Thakor, N. V. (2014) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913852 · Cited by 3
First implementation results on FAT based adaptive control for a lower extremity rehabilitation device
Li, J., Shen, B., Bai, F., Chew, C., & Teo, C. L. (2013) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2013.6618042 · Cited by 3
Robot-assisted gait training with complementary auditory feedback: Results on short-term motor adaptation
Zanotto, D., Rosati, G., Avanzini, F., Stegall, P., & Agrawal, S. K. (2012) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2012.6290667 · Cited by 3
Design, Modeling, and Control of a Portable Leg Rehabilitation System
Goher, K. M., & Fadlallah, S. O. (2017) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4035815 · Cited by 3
SSVEP-Based BCI for Lower Limb Rehabilitation
Song, X., Xie, S. Q., & Meng, W. (2017) · Springer eBooks · doi:10.1007/978-3-319-52884-7_4 · Cited by 3
Inverse Kinematics for a Novel Rehabilitation Robot for Lower Limbs
Badi, A., Saad, M., Gauthier, G., & Archambault, P. S. (2017) · Mechanisms and machine science · doi:10.1007/978-3-319-61431-1_32 · Cited by 3
Lower Limb Musculoskeletal Stiffness Analysis During Swing phase as a Cable-Driven Serial Chain System
Panehal, N., Nakka, S., & Vashista, V. (2018) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2018.8488126 · Cited by 3
Admittance Control of the Ankle Mechanism in a Rotational Orthosis for Walking with Arm Swing
Mu, Z., Fang, J., & Zhang, Q. (2019) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2019.8779408 · Cited by 3
RobcWalk: Conceptual and Optimal Design
Ghanaat, S., Nabipour, M., & Moosavian, S. A. A. (2019) · doi:10.1109/icrom48714.2019.9071854 · Cited by 3
Clinical Aspects for the Application of Robotics in Neurorehabilitation
Dietz, V. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2277-7_16 · Cited by 3
Soft Wearable Robotics Technologies for Body Motion Sensing
Park, Y. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803137-7.00009-4 · Cited by 3
The design and testing of a powered exoskeleton to reduce the metabolic cost of walking in individuals with cerebral palsy
Bair, M. O. (2018) · Cited by 3
Post-stroke lower limb rehabilitation: a comparative study between exoskeleton robots and traditional gait training
Xu, W., Lai, N. Y. G., Wong, K.-H., Azam, H., & Yang, W. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-02006-6 · Cited by 2
Spinal neuromotor rehabilitation using a portable isokinetic training robot
Li, Y., Ren, J., Shu, T., Yuan, F., & Feng, Y. (2026) · Nature · doi:10.1038/s41586-026-10642-0 · Cited by 2
Implementation of virtual control strategies for natural rehabilitation of arm with visual and force feedback
Dubey, V. N., Kłopot, W., & Skupin, P. (2010) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2010.5723305 · Cited by 2
Application Issues for Robotics
Wirz, M., & Rupp, R. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2277-7_2 · Cited by 2
Review on Machine Learning Applications in Assisted Treadmill for Stroke Rehabilitation
Hamidah, A., Adiono, T., Syafalni, I., Herianto, H., Andriana, M., Kurnia, M., Ratunanda, S. S., & Vitriana (2019) · International Symposium on Electronics and Smart Devices (ISESD) · doi:10.1109/isesd.2019.8909416 · Cited by 2
Analysis of an Adaptive Fuzzy Control Scheme: Application to a Lower Limb Exoskeleton
Kumar, A., & Mishra, P. (2020) · IEEE India Conference · doi:10.1109/indicon49873.2020.9342430 · Cited by 2
Exoskeleton-Wheelchair Synergy For Rehabilitation & User Assistance
Tanveer, M. H., Koduru, C., Voicu, R. C., & Ham, C. H. (2022) · International Conference on Automation, Control and Robotics Engineering (CACRE) · doi:10.1109/cacre54574.2022.9834182 · Cited by 2
Robotic Gait Training in Specific Neurological Conditions: Rationale and Application
Wirz, M., Bansi, J., Capecci, M., Esquenazi, A., Paredes, L. P., Tefertiller, C., & van Hedel, H. J. A. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_8 · Cited by 2
Kinematic Performance of a Customizable Single Degree-of-Freedom Gait Trainer for Cost-Effective Therapy Aimed at Neuromuscular Impairments
Jadav, S., Karvaje, K. S., Kadam, S. D., Vashista, V., Sulzer, J. S., Deshpande, A. D., & Palanthandalam‐Madapusi, H. J. (2024) · Journal of Medical Devices · doi:10.1115/1.4065120 · Cited by 2
Task-oriented active training based on adaptive impedance control with iLeg — A horizontal exoskeleton for lower limb rehabilitation
Hu, J. P., Hou, Z., Chen, Y., Peng, L., & Peng, L. (2013) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2013.6739767 · Cited by 2
High magnitude unidirectional haptic force display using a motor/brake pair and a cable
Hu, S., & Kuchenbecker, K. J. (2017) · IEEE World Haptics Conference (WHC) · doi:10.1109/whc.2017.7989934 · Cited by 2
Design of an Exoskeleton Robot for Lower-Body Rehabilitation
Mendoza, A. B., Austria, A. R. S., Maderazo, C. M. J., Alzate, B. E., Adia, L. M., Salvador, A. L., & Sangalang, R. G. B. (2023) · International Conference for Advancement in Technology (ICONAT) · doi:10.1109/iconat57137.2023.10080501 · Cited by 2
Differentiated Time-Frequency Characteristics Based Real-Time Motion Decoding for Lower Extremity Rehabilitation Exoskeleton Robot
Fan, Y., & Yin, Y. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33515-0_4 · Cited by 2
Bio-inspired control research of a novel lower extremity exoskeleton with a series-parallel mechanism
Pan, D., Gao, F., Miao, Y., & Cao, R. (2014) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/0954406214566036 · Cited by 2
Muscular activity when walking in a non-anthropomorphic wearable robot
Tagliamonte, N. L., Accoto, D., Sergi, F., Sudano, A., Formica, D., & Guglielmelli, E. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944272 · Cited by 2
On the design of lower extremity exoskeleton with single drive (LEESD)
Zhu, Y., Cai, X., Jin, H., & Zhao, J. (2014) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2014.7090462 · Cited by 2
Design of a rotary elastic actuator for use as torque-actuator in rehabilitation robots
Hasankola, M. D., Dashkhaneh, A., Moghaddam, M. M., & Saba, A. M. (2013) · RSI International Conference on Robotics and Mechatronics (ICRoM) · doi:10.1109/icrom.2013.6510157 · Cited by 2
FAT based adaptive control for a lower extremity rehabilitation device: Simulation results
Li, J., Shen, B., & Chew, C. (2013) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim.2013.6584196 · Cited by 2
Robotics for Stroke Recovery
Patten, C., Little, V. L., & McGuirk, T. E. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2277-7_15 · Cited by 2
Modeling and Dynamic Optimization of a Hybrid Neuroprosthesis for Gait Restoration
Sharma, N., & Kirsch, N. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803137-7.00008-2 · Cited by 2
Real-time myoelectric control for a lower-limb assistive exoskeleton
Lara-Barrios, C. M., Ortega, A. B., Abúndez‐Pliego, A., Colín-Ocampo, J., & Oliver-Salazar, M. A. (2016) · Advanced Robotics · doi:10.1080/01691864.2016.1264884 · Cited by 2
Design of an Optimal 4-bar Mechanism Based Gravity Balanced Leg Orthosis
Choudhary, V. P., Singh, V. K., & Dutta, A. (2017) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-017-0466-0 · Cited by 2
Walking assistance system for walking stability by using human motion information
Kim, S., Hirota, K., Nozaki, T., & Murakami, T. (2017) · IEEE International Conference on Mechatronics (ICM) · doi:10.1109/icmech.2017.7921110 · Cited by 2
EMG Analysis on Gyro-Roller Rehabilitation Device for Stroke Patients
Ruangrong, T., & Ritthipravat, P. (2017) · International Journal of Bioscience Biochemistry and Bioinformatics · doi:10.17706/ijbbb.2017.7.3.153-161 · Cited by 2
Understanding implication of VR-assisted treadmill walk on gait-related indices
Solanki, D., Jain, R., & Lahiri, U. (2017) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt.2017.8204152 · Cited by 2
Design of Lower Extremity Rehabilitation Robots with Magnetorheological Dampers and Wire-Driven System
Xu, J., Xu, L., Li, Y., Liu, J., Li, X., & Lu, L. (2018) · IEEE International Conference on Information and Automation (ICIA) · doi:10.1109/icinfa.2018.8812419 · Cited by 2
Design of a Lightweight and Flexible Knee Exoskeleton with Compensation Strategy
Wang, Z., Yang, C., Jiang, F., Yi, C., Ding, Z., Wei, B., & Liu, J. (2021) · doi:10.1145/3458648.3460007 · Cited by 2
Implementation of Robots into Rehabilitation Programs: Meeting the Requirements and Expectations of Professional and End Users
Rupp, R., & Wirz, M. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_13 · Cited by 2
An ANN Based Approach for Gait Prediction of a Lower-Limb Exoskeleton with Plantar Pressure Sensors
Liu, Y., Wang, C., Zheng, D., Wang, G., & Wu, X. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40852-6_38 · Cited by 2
Transfer of Technology into Clinical Application
Maier, I. C., de Haller, E. B., Beer, S. M., Borggraefe, I., Campen, K., Luft, A. R., Manoglou, D., Meyer‐Heim, A., Aurich-Schuler, T., & Wirz, M. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2277-7_17 · Cited by 2
Terapia robótica para la rehabilitación de la marcha en patología neurológica
Calderón-Bernal, A. M., Cano‐de‐la‐Cuerda, R., Diego, I. M. A., Rueda, F. M., Cuesta‐Gómez, A., & Miangolarra‐Page, J. C. (2015) · Rehabilitación · doi:10.1016/j.rh.2014.11.003 · Cited by 2
Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study
Hussain, S., Jamwal, P. K., & Ghayesh, M. H. (2017) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2017.1282471 · Cited by 2
Development of a foot-wheel driving exoskeleton for moving assistance of paraplegic patients
Ma, Q., Ji, L., Wang, R., & Wong, L.-N. (2017) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/0954406217735554 · Cited by 2
Design of UDE based robust tracking controller for knee-joint orthosis
Kohli, C., Neha, K., & Chandar, T. S. (2017) · IEEE International Conference on Industrial and Information Systems (ICIIS) · doi:10.1109/iciinfs.2017.8300350 · Cited by 2
Adaptive robust slide mode trajectory tracking controller for lower extremity rehabilitation exoskeleton
Zhang, L., Chen, W., Wang, J., & Zhang, J. (2018) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2018.8397856 · Cited by 2

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

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

Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks