The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation
Open accessAbstract
This paper introduces a newly developed gait rehabilitation device. The device, called LOPES, combines a freely translatable and 2-D-actuated pelvis segment with a leg exoskeleton containing three actuated rotational joints: two at the hip and one at the knee. The joints are impedance controlled to allow bidirectional mechanical interaction between the robot and the training subject. Evaluation measurements show that the device allows both a "patient-in-charge" and "robot-in-charge" mode, in which the robot is controlled either to follow or to guide a patient, respectively. Electromyography (EMG) measurements (one subject) on eight important leg muscles, show that free walking in the device strongly resembles free treadmill walking; an indication that the device can offer task-specific gait training. The possibilities and limitations to using the device as gait measurement tool are also shown at the moment position measurements are not accurate enough for inverse-dynamical gait analysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Motor learning elicited by voluntary drive
Lotze, M. (2003) · Brain · doi:10.1093/brain/awg079 · Cited by 691
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 · cited 3×
“Impedance control implies that the interaction control is based on position sensing combined with force actuation [2], [17].”
BackgroundMethodIsrael, J. F., Campbell, D. D., Kahn, J. H., & Hornby, T. G. (2006) · Physical Therapy · doi:10.2522/ptj.20050266 · Cited by 322
Cited by
Review of control strategies for robotic movement training after neurologic injury
Marchal-Crespo, L., & Reinkensmeyer, D. J. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-20 · Cited by 1,182
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“This would exclude treadmill-based gait training orthoses such as the LOPES [19] and the Lokomat (Hocoma AG, Volketswil, Switzerland), which were among the classes of devices discussed in the review of Marchal-Crespo and Reinkensmeyer [20].”
A biologically inspired soft exosuit for walking assistance
Asbeck, A. T., De Rossi, S. M. M., Holt, K. G., & Walsh, C. J. (2015) · The International Journal of Robotics Research · doi:10.1177/0278364914562476 · Cited by 450
Compliant actuation of rehabilitation robots
Vallery, H., Veneman, J., van Asseldonk, E., Ekkelenkamp, R., Buss, M., & van Der Kooij, H. (2008) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2008.927689 · Cited by 448
Self-citationPath Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation
Duschau-Wicke, A., von Zitzewitz, J., Caprez, A., Lunenburger, L., & Riener, R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2033061 · Cited by 421
Metadata
- Authors
- Veneman, J. F., Kruidhof, R., Hekman, E. E. G., Ekkelenkamp, R., Van Asseldonk, E. H. F., & van der Kooij, H.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2007-09
- Volume
- 15
- Issue
- 3
- Pages
- 379-386
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2166869394
- Cited by
- 1,280
- References
- 3
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation. https://app.cochat.ai/papers/10.1109/tnsre.2007.903919
- The paper
- Veneman, J. F., Kruidhof, R., Hekman, E. E. G., Ekkelenkamp, R., Van Asseldonk, E. H. F., & van der Kooij, H. (2007). Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2007.903919
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.