Cited by 165Prosthetics and Rehabilitation RoboticsStroke Rehabilitation and RecoveryBalance, Gait, and Falls Prevention

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Novel Gait Adaptation and Neuromotor Training Results Using an Active Leg Exoskeleton

Banala, S.K., Agrawal, S.K., Seok Hun Kim, Scholz, J.P.·2010·IEEE/ASME Transactions on Mechatronics

DOI 10.1109/tmech.2010.2041245

Open this paper in CoChat — free account

Abstract

The gait of every adult is unique and expected to be ingrained within the neuromuscular system. The major scientific question that we ask in this paper if it is possible to alter the gait of healthy individuals using special purpose design of robots and training paradigms. This paper describes novel experimental results with an active leg exoskeleton (ALEX) and a force-field controller (FFC) developed for neuromotor training of gait and rehabilitation of patients with walking disabilities. ALEX is a motorized leg orthosis having a total of 7 DOFs with hip and knee actuated in the sagittal plane. The FFC applies forces on the foot to help the leg move on a desired trajectory. The interaction forces between the subject and the orthosis are designed to be ¿assist-as-needed¿ for safe and effective gait training. Simulations and experimental results with the FFC are presented. Experiments have been performed on six healthy subjects walking on a treadmill. It was shown that a healthy subject could be retrained in about 45 min with ALEX to walk on a treadmill with a considerably altered gait. In the coming months, this powered orthosis will be used for gait training of stroke patients.

Integrity signals

Registry

Crossref · 10.1109/tmech.2010.2041245

Cites

33 of 33 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?

A survey of models, analysis tools and compensation methods for the control of machines with friction
Armstrong-Hélouvry, B., Dupont, P. E., & de Wit, C. C. (1994) · Automatica · doi:10.1016/0005-1098(94)90209-7 · Cited by 2,683
Computational Geometry in C
O’Rourke, J., & Mallinckrodt, A. J. (1995) · Computers in Physics · doi:10.1063/1.4823371 · Cited by 1,202
Treadmill training of paraplegic patients using a robotic orthosis.
Colombo, G., Joerg, M., Schreier, R., & Dietz, V. (2000) · PubMed · Cited by 1,114
Robot assisted gait training with Active Leg Exoskeleton (ALEX)
Banala, S. K., Kim, S. H., Agrawal, S. K., & Scholz, J. P. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.2008280 · Cited by 751
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
A mechanized gait trainer for restoration of gait.
Hesse, S., & Uhlenbrock, D. (2001) · PubMed · Cited by 390
Power assist method based on Phase Sequence and muscle force condition for HAL
Kawamoto, H., & Sankai, Y. (2005) · Advanced Robotics · doi:10.1163/1568553054455103 · Cited by 376

Show all 33 references

Research works printed but not linked: 2

perry, 1989, Observational Gait Analysis Handbook
mankala, 2009, novel swing-assist unmotorized exoskeletons for gait training, J Neuro Eng Rehabil, 6

Sorted by citations

A Review on Lower Limb Rehabilitation Exoskeleton Robots
Shi, D., Zhang, W., Zhang, W., & Ding, X. (2019) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-019-0389-8 · Cited by 534
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 effectiveness of ALEX has been demonstrated through clinical trials with stroke survivors [28,29].”
Background
Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art
Huo, W., Mohammed, S., Moreno, J. C., & Amirat, Y. (2014) · IEEE Systems Journal · doi:10.1109/jsyst.2014.2351491 · Cited by 461
The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study
Bôrtole, M., Venkatakrishnan, A., Zhu, F., Moreno, J. C., Francisco, G. E., Pons, J. L., & Contreras-Vidal, J. L. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0048-y · Cited by 347
Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?
Calabrò, R. S., Cacciola, A., Bertè, F., Manuli, A., Leo, A., Bramanti, A., Naro, A., Milardi, D., & Bramanti, P. (2016) · Neurological Sciences · doi:10.1007/s10072-016-2474-4 · Cited by 271
Adaptive Impedance Control of a Robotic Orthosis for Gait Rehabilitation
Hussain, S., Xie, S. Q., & Jamwal, P. K. (2012) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcb.2012.2222374 · Cited by 224
Wearable lower limb robotics: A review
Vítečková, S., Kutílek, P., & Jiřina, M. (2013) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2013.03.005 · Cited by 222
A Review of Robot-Assisted Lower-Limb Stroke Therapy: Unexplored Paths and Future Directions in Gait Rehabilitation
Hobbs, B., & Artemiadis, P. (2020) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2020.00019 · Cited by 182
Towards compliant and wearable robotic orthoses: A review of current and emerging actuator technologies
Veale, A. J., & Xie, S. Q. (2016) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2016.01.010 · Cited by 167
Robotics in Lower-Limb Rehabilitation after Stroke
Zhang, X., Yue, Z., & Wang, J. (2017) · Behavioural Neurology · doi:10.1155/2017/3731802 · Cited by 160
Control strategies for effective robot assisted gait rehabilitation: the state of art and future prospects
Cao, J., Xie, S. Q., Das, R., & Zhu, G. L. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2014.08.005 · Cited by 153
Recent Trends in Lower-Limb Robotic Rehabilitation Orthosis: Control Scheme and Strategy for Pneumatic Muscle Actuated Gait Trainers
Dzahir, M. A. M., & Yamamoto, S.-I. (2014) · Robotics · doi:10.3390/robotics3020120 · Cited by 132
Time-delay estimation based computed torque control with robust adaptive RBF neural network compensator for a rehabilitation exoskeleton
Han, S., Wang, H., Tian, Y., & Christov, N. D. (2019) · ISA Transactions · doi:10.1016/j.isatra.2019.07.030 · Cited by 123
Adaptive Knee Joint Exoskeleton Based on Biological Geometries
Wang, D., Lee, K.-M., Guo, J., & Yang, C.-J. (2013) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2278207 · Cited by 115
Model-free based adaptive nonsingular fast terminal sliding mode control with time-delay estimation for a 12 DOF multi-functional lower limb exoskeleton
Han, S., Wang, H., & Tian, Y. (2018) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2018.01.004 · Cited by 113
Myoelectrically controlled wrist robot for stroke rehabilitation
Song, R., Tong, R. K., Hu, X., & Zhou, W. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-52 · Cited by 108
Lower-Limb Movement Assistance through Wearable Robots: State of the Art and Challenges
Mohammed, S., Amirat, Y., & Rifaï, H. (2012) · Advanced Robotics · doi:10.1163/016918611x607356 · Cited by 106
Assist-as-Needed Control of an Intrinsically Compliant Robotic Gait Training Orthosis
Hussain, S., Jamwal, P. K., Ghayesh, M. H., & Xie, S. Q. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2580123 · Cited by 95
MIMO Sliding Mode Controller for Gait Exoskeleton Driven by Pneumatic Muscles
Cao, J., Xie, S. Q., & Das, R. K. (2017) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2654424 · Cited by 90
Robust Nonlinear Control of an Intrinsically Compliant Robotic Gait Training Orthosis
Hussain, S., Xie, S. Q., & Jamwal, P. K. (2012) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmca.2012.2207111 · Cited by 84
Human-Cooperative Control Design of a Walking Exoskeleton for Body Weight Support
Li, Z., Ren, Z., Zhao, K., Deng, C., & Feng, Y. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2900121 · Cited by 79
Control of a robotic orthosis for gait rehabilitation
Hussain, S., Xie, S. Q., & Jamwal, P. K. (2013) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2013.01.007 · Cited by 74
A Wearable Real-Time Intelligent Posture Corrective System Using Vibrotactile Feedback
Gopalai, A. A., & Senanayake, S. M. N. A. (2011) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2011.2161486 · Cited by 74
Human–Robot Interaction Evaluation-Based AAN Control for Upper Limb Rehabilitation Robots Driven by Series Elastic Actuators
Han, S., Wang, H., & Yu, H. (2023) · IEEE Transactions on Robotics · doi:10.1109/tro.2023.3286073 · Cited by 66
Adaptive Position Constrained Assist-as-Needed Control for Rehabilitation Robots
Cao, Y., Chen, X., Zhang, M., & Huang, J. (2023) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2023.3273270 · 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
Rehabilitation Exoskeleton Design: Exploring the Effect of the Anterior Lunge Degree of Freedom
Stegall, P., Winfree, K. N., Zanotto, D., & Agrawal, S. K. (2013) · IEEE Transactions on Robotics · doi:10.1109/tro.2013.2256309 · Cited by 57
A review in gait rehabilitation devices and applied control techniques
Chaparro-Cárdenas, S. L., Lozano-Guzmán, A., Ramirez-Bautista, J. A., & Zavala, A. H. (2018) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2018.1447611 · Cited by 54
A task oriented haptic gait rehabilitation robot
Chisholm, K., Klumper, K., Mullins, A. K., & Ahmadi, M. (2014) · Mechatronics · doi:10.1016/j.mechatronics.2014.07.001 · Cited by 53
Design analysis of a passive weight-support lower-extremity-exoskeleton with compliant knee-joint
Lee, K.-M., & Wang, D. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139978 · Cited by 51
A linear discrete-time extended state observer-based intelligent PD controller for a 12 DOFs lower limb exoskeleton LLE-RePA
Han, S., Wang, H., & Tian, Y. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106547 · Cited by 51
A model-free deep reinforcement learning approach for control of exoskeleton gait patterns
Rose, L., Bazzocchi, M. C. F., & Nejat, G. (2021) · Robotica · doi:10.1017/s0263574721001600 · Cited by 48
Evaluation of a Fuzzy-Based Impedance Control Strategy on a Powered Lower Exoskeleton
Tran, H. T., Cheng, H., Huang, R., Lin, X., Duong, M.-K., & Chen, Q. (2015) · International Journal of Social Robotics · doi:10.1007/s12369-015-0324-9 · Cited by 47
Assist-as-Needed Control of a Robotic Orthosis Actuated by Pneumatic Artificial Muscle for Gait Rehabilitation
Dao, Q.-T., & Yamamoto, S.-I. (2018) · Applied Sciences · doi:10.3390/app8040499 · Cited by 46
Review on Gait Rehabilitation Training using Human Adaptive Mechatronics System in Biomedical Engineering
Joel, J. P. A., Raj, R. J. S., & Muthukumaran, N. (2022) · International Conference on Computer Communication and Informatics (ICCCI) · doi:10.1109/iccci54379.2022.9740794 · Cited by 41
Towards Neuro-Fuzzy Compensated PID Control of Lower Extremity Exoskeleton System for Passive Gait Rehabilitation
Narayan, J., & Dwivedy, S. K. (2020) · IETE Journal of Research · doi:10.1080/03772063.2020.1838346 · Cited by 41
Adaptive Oscillator-Based Assistive Torque Control for Gait Asymmetry Correction With a nSEA-Driven Hip Exoskeleton
Qian, Y., Yu, H., & Fu, C. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3213810 · Cited by 40
Phase-Synchronized Assistive Torque Control for the Correction of Kinematic Anomalies in the Gait Cycle
Aguirre-Ollinger, G., Narayan, A., & Yu, H. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2944665 · Cited by 39
Rehabilitation robotics after stroke: a bibliometric literature review
Zuccon, G., Lenzo, B., Bottin, M., & Rosati, G. (2022) · Expert Review of Medical Devices · doi:10.1080/17434440.2022.2096438 · Cited by 39
Adaptive interaction torque-based AAN control for lower limb rehabilitation exoskeleton
Wang, Y., Wang, H., & Tian, Y. (2021) · ISA Transactions · doi:10.1016/j.isatra.2021.10.009 · Cited by 38
State-of-the-art robotic gait rehabilitation orthoses: Design and control aspects
Hussain, S. (2014) · Neurorehabilitation · doi:10.3233/nre-141174 · Cited by 37
Robotic orthoses for gait rehabilitation: An overview of mechanical design and control strategies
Jamwal, P. K., Hussain, S., & Ghayesh, M. H. (2020) · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine · doi:10.1177/0954411919898293 · Cited by 37
Toward Movement Restoration of Knee Joint Using Robust Control of Powered Orthosis
Mefoued, S., Mohammed, S., & Amirat, Y. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2012.2228194 · Cited by 37
Comparing Approaches for Actuator Redundancy Resolution in Biarticularly-Actuated Robot Arms
Salvucci, V., Kimura, Y., Oh, S., Koseki, T., & Hori, Y. (2014) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2257826 · Cited by 35
Review on Lower Extremity Exoskeleton Robot
Li, N., Yan, L., Qian, H., Wu, H., Wu, J., & Men, S. (2015) · The Open Automation and Control Systems Journal · Cited by 35
Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions
Amin, F. M., Waris, A., Iqbal, J., Gilani, S. O., Rehman, M. Z. U., Mushtaq, S., Khan, N. B., Khan, M. I., Jameel, M., & Tamam, N. M. (2023) · Results in Engineering · doi:10.1016/j.rineng.2023.101725 · Cited by 33
Fuzzy logic compliance adaptation for an assist-as-needed controller on the Gait Rehabilitation Exoskeleton (GAREX)
Zhong, B., Cao, J., Guo, K., McDaid, A., Peng, Y., Miao, Q., Xie, S. Q., & Zhang, M. (2020) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2020.103642 · Cited by 32
End-to-End Deep Reinforcement Learning for Exoskeleton Control
Rose, L., Bazzocchi, M. C. F., & Nejat, G. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9283306 · Cited by 33
Extraction of Time and Frequency Features From Grip Force Rates During Dexterous Manipulation
Mojtahedi, K., Fu, Q., & Santello, M. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2388592 · Cited by 29
A REVIEW ON HUMAN–EXOSKELETON COORDINATION TOWARDS LOWER LIMB ROBOTIC EXOSKELETON SYSTEMS
Ma, Y., Wu, X., Yi, J., Wang, C., & Chen, C. (2019) · International Journal of Robotics and Automation · doi:10.2316/j.2019.206-0193 · Cited by 31
A New Active Body Weight Support System Capable of Virtually Offloading Partial Body Mass
Lu, Q., Liang, J., Qiao, B., & Ma, O. (2011) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2011.2160555 · Cited by 30
Design and Implementation of a Nine-Axis Inertial Measurement Unit
Lin, P., Lu, J.-C., Tsai, C.-H., & Ho, C.-W. (2011) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2011.2111378 · Cited by 29
Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot
Yang, R., Shen, Z., Lyu, Y., Zhuang, Y., Li, L., & Song, R. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3228070 · Cited by 28
Review: Textile-based soft robotics for physically challenged individuals
Zannat, A., Uddin, M. N., Mahmud, S. T., Prithu, P. S. S., & Mia, R. (2023) · Journal of Materials Science · doi:10.1007/s10853-023-08799-4 · Cited by 27
Design and Motion Control of a Lower Limb Robotic Exoskeleton
Önen, Ü., Botsalı, F. M., Kalyoncu, M., Şahin, Y., & Tınkır, M. (2017) · InTech eBooks · doi:10.5772/67458 · Cited by 24
Motion Detection Enhanced Control of an Upper Limb Exoskeleton Robot for Rehabilitation Training
Ye, W., Li, Z., Yang, C., Chen, F., & Su, C. (2017) · International Journal of Humanoid Robotics · doi:10.1142/s0219843616500316 · Cited by 22
An optimized and chaotic intelligent system for a 3DOF rehabilitation robot for lower limbs based on neural network and genetic algorithm
Azar, W. A., & Nazar, P. S. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102864 · Cited by 22
EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people
Meena, Y. K., Chowdhury, A., Cecotti, H., Wong‐Lin, K., Nishad, S. S., Dutta, A., & Prasad, G. (2016) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2016.7844553 · Cited by 22
Energetic Response of Human Walking With Loads Using Suspended Backpacks
Yang, L., Xiong, C., Hao, M., Leng, Y., Chen, K., & Fu, C. (2021) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2021.3127714 · Cited by 21
Design, Analysis, and Multicriteria Optimization of an Overground Pediatric Robotic Gait Trainer
McDaid, A. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2696498 · Cited by 19
Review of anatomy-based ankle–foot robotics for mind, motor and motion recovery following stroke: design considerations and needs
Jiang, J., Lee, K.-M., & Ji, J. (2018) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-018-0065-7 · Cited by 18
Comparative Analysis of the Industrial Exoskeleton Control Systems
Jatsun, S. F., Malchikov, A., & Yatsun, A. S. (2019) · Smart innovation, systems and technologies · doi:10.1007/978-981-13-9267-2_6 · Cited by 17
Hardware Development and Safety Control Strategy Design for a Mobile Rehabilitation Robot
Lee, L.-W., Li, I.-H., Lu, L.-Y., Hsu, Y.-B., Chiou, S.-J., & Su, T. (2022) · Applied Sciences · doi:10.3390/app12125979 · 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
Recent Development and Trends of Clinical-Based Gait Rehabilitation Robots
Low, K. H. (2015) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-12922-8_2 · Cited by 16
Adaptive Finite Time Control for Wearable Exoskeletons Based on Ultra-local Model and Radial Basis Function Neural Network
Sun, J., Wang, J., Yang, P., Zhang, Y., & Chen, L. (2020) · International Journal of Control Automation and Systems · doi:10.1007/s12555-019-0975-7 · Cited by 15
Toward Standardizing the Classification of Robotic Gait Rehabilitation Systems
Ayad, S., Ayad, M., Megueni, A., Spaich, E. G., & Struijk, L. N. S. A. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2018.2886228 · Cited by 14
Tracking control for lower limb rehabilitation robots based on polynomial nonlinear uncertain models
Li, Y., Ke, J., & Zeng, J. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5381 · Cited by 14
Research on a multimodal actuator-oriented power-assisted knee exoskeleton
Han, Y., Zhu, S., Zhou, Z., Shi, Y., & Dabin, H. (2016) · Robotica · doi:10.1017/s0263574716000576 · Cited by 14
Force/torque sensorless impedance control for indirect driven robot-aided gait rehabilitation system
Tran, Q. V., Kim, S., Lee, K.-H., Kang, S., & Ryu, J. (2015) · IEEE International Conference on Advanced Intelligent Mechatronics (AIM) · doi:10.1109/aim.2015.7222611 · Cited by 13
Flexible design of a wearable lower limb exoskeleton robot
Chen, C., Zheng, D., Peng, A., Wang, C., & Wu, X. (2013) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2013.6739460 · Cited by 13
Agricultural Land Conversion and the Influence of the Food Supply Chain
Umanailo, M. C. B. (2021) · Psychology and Education Journal · doi:10.17762/pae.v58i1.2168 · Cited by 12
Optimal phase-based gait guidance control on a lower-limb exoskeleton
Laubscher, C. A., Goo, A. C., & Sawicki, J. T. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105651 · Cited by 12
Detection of muscle activation through multi-electrode sensing using electrical stimulation
Son, C., Kim, S., Kim, S., Choi, J., & Kim, D. (2018) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2018.03.030 · Cited by 12
A New Study on the Relative Kinematic Accuracy Reliability of a Novel Exoskeleton with Series-Parallel Topology
Pan, D., Gao, F., Miao, Y., Cao, R., & Liu, T. (2015) · Mechanics Based Design of Structures and Machines · doi:10.1080/15397734.2015.1008013 · Cited by 11
An adaptive seamless assist-as-needed control scheme for lower extremity rehabilitation robots
Zhang, X., Yin, G., Li, H., Dong, R., & Hu, H. (2020) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/0959651820970720 · Cited by 11
State Derivation of a 12-Axis Gyroscope-Free Inertial Measurement Unit
Lu, J.-C., & Lin, P. (2011) · Sensors · doi:10.3390/s110303145 · Cited by 11
Design and Development of a Pneumatic Robot for Neurorehabilitation Therapies
Díez, J. A., Badesa, F. J., Lledó, L. D., Sabater-Navarro, J. M., García-Aracil, N., Beltrán, I., & Bernabéu, Á. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-27149-1_25 · Cited by 10
Anti-Disturbance Sliding Mode Control of a Novel Variable Stiffness Actuator for the Rehabilitation of Neurologically Disabled Patients
Mo, L., Feng, P., Shao, Y., Shi, D., Ju, L., Zhang, W., & Ding, X. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.864684 · Cited by 10
Optimization-Based Adaptive Assistance for Lower Limb Exoskeleton Robots With a Robotic Walker via Spatially Quantized Gait
Zou, C., Peng, Z., Zhang, L., Mu, F., Huang, R., & Cheng, H. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3384515 · Cited by 9
Design and Validation of a Low-Level Controller for Hierarchically Controlled Exoskeletons
Herron, C. W., Fuge, Z. J., Kogelis, M., Tremaroli, N. J., Kalita, B., & Leonessa, A. (2023) · Sensors · doi:10.3390/s23021014 · Cited by 9
Exo skeleton pertinence and control techniques: A state-of-the-art review
Rangan, R. P., & Ramesh Babu, S. (2024) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/09544062241226842 · Cited by 9
Research Progress of Rehabilitation Exoskeletal Robot and Evaluation Methodologies Based on Bioelectrical Signals
Wang, F., Wei, X., Guo, J., Zheng, Y., Li, J., & Du, S. (2019) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber46603.2019.9066492 · Cited by 9
Walking assist for a stroke survivor with a power-assist exoskeleton
Kiguchi, K., & Yokomine, Y. (2014) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2014.6974196 · Cited by 9
Model-Free Based Back-Stepping Sliding Mode Control for Wearable Exoskeletons
Yang, P., Sun, J., Wang, J., Zhang, G., & Zhang, Y. (2019) · International Conference on Automation and Computing (ICAC) · doi:10.23919/iconac.2019.8895069 · Cited by 8
Stiffness modulation of a cable-driven leg exoskeleton for effective human–robot interaction
Nakka, S., & Vashista, V. (2021) · Robotica · doi:10.1017/s0263574721000242 · Cited by 8
Design and Evaluation of the AIRGAIT Exoskeleton: Leg Orthosis Control for Assistive Gait Rehabilitation
Dzahir, M. A. M., & Yamamoto, S.-I. (2013) · Journal of Robotics · doi:10.1155/2013/535106 · Cited by 8
Contextual interference during adaptation to asymmetric split-belt treadmill walking results in transfer of unique gait mechanics
Hinkel-Lipsker, J. W., & Hahn, M. E. (2017) · Biology Open · doi:10.1242/bio.028241 · Cited by 8
Simulating Hemiparetic Gait in Healthy Subjects Using TPAD With a Closed-Loop Controller
Kang, J., Ghonasgi, K., Walsh, C. J., & Agrawal, S. K. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2907683 · Cited by 8
Flexible Recruitment of Balance Mechanisms to Environmental Constraints During Walking
Fettrow, T., DiBianca, S. J., dos Santos, F. V., Reimann, H., & Jeka, J. J. (2020) · Frontiers in Virtual Reality · doi:10.3389/frvir.2020.00005 · Cited by 8
Design and Transparency Assessment of a Gait Rehabilitation Robot With Biomimetic Knee Joints
Jamwal, P. K., Dauletbayev, S., Sagidoldin, D., Keikibayev, D., Niyetkaliyev, A. S., Hussain, S., & Agrawal, S. K. (2024) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2024.3504002 · Cited by 7
Investigation of Movements of Lower-Limb Assistive Industrial Device
Jatsun, S. F., Malchikov, A., & Yatsun, A. S. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26118-4_22 · 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
Online gait learning with Assist-As-Needed control strategy for post-stroke rehabilitation exoskeletons
Zou, C., Zeng, C., Huang, R., Peng, Z., Zhang, J., & Cheng, H. M. (2023) · Robotica · doi:10.1017/s0263574723001431 · Cited by 8
Robotic Systems for Gait Rehabilitation
Callegaro, A. M., Unluhisarcikli, O., Pietrusinski, M. D., & Mavroidis, C. (2014) · Trends in augmentation of human performance · doi:10.1007/978-94-017-8932-5_10 · Cited by 7
Deep learning-based gesture recognition for control of mobile body-weight support platform
Wang, P., Zhang, Q., Li, L., Ru, F., Li, D., & Jin, Y. (2018) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2018.8398001 · Cited by 7
Motion and trajectory planning modeling for mobile landing mechanism systems based on improved genetic algorithm
Zhou, J., Jia, S., Chen, J., & Chen, M. (2020) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2021012 · Cited by 7
COMPARATIVE EFFECTIVENESS OF ROBOT-INTERACTIVE GAIT TRAINING WITH AND WITHOUT ANKLE ROBOTIC CONTROL IN PATIENTS WITH BRAIN DAMAGE
Park, C., Hwang, J., & You, J. H. (2021) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519421400352 · Cited by 7
Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review
Song, D., Liu, S., Gao, Y., & Huang, Y. (2023) · Computational Intelligence and Neuroscience · doi:10.1155/2023/2052231 · Cited by 6
Lower Limb Exoskeletons, Application‐Centric Classifications: A Review
Karthik, V., Das, S., Nayak, S., & Pandey, A. (2025) · Journal of Field Robotics · doi:10.1002/rob.22529 · Cited by 6

Authors: Banala, S. K., Agrawal, S. K., Kim, S. H., & Scholz, J. P.
Affiliations: University of Delaware (US)
University of South Florida (US)
ORCID: Agrawal, S.K.
Venue: IEEE/ASME Transactions on Mechatronics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2010-04
Volume: 15
Issue: 2
Pages: 216-225
ISSN: 1083-4435 (ISSN-L)
1941-014X
DOI: 10.1109/tmech.2010.2041245
OpenAlex: W2099726059
Cited by: 165
References: 33
Citations by year: 2026: 5 · 2025: 6 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 12 · 2020: 13 · 2019: 17 · 2018: 14 · 2017: 12 · 2016: 7 · 2015: 13 · 2014: 11 · 2013: 11 · 2012: 6
FWCI: 4.53
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE/ASME Transactions on Mechatronics (publishedVersion)
The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) (submittedVersion)
Funders: National Center for Medical Rehabilitation Research
Topics: Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
Keywords: gait adaptation, treadmill walking, powered orthosis, stroke rehabilitation, gait rehabilitation, assist-as-needed control, healthy volunteers

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

Novel Gait Adaptation and Neuromotor Training Results Using an Active Leg Exoskeleton

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