The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Robotic Orthosis Lokomat: A Rehabilitation and Research Tool
Abstract
The aim of this article is to introduce the robotic orthosis Lokomat, developed to automate treadmill training rehabilitation of locomotion for spinal cord injured and stroke patients, to the Functional Electrical Stimulation (FES) and Neuromodulation research communities, and to report on our newly conducted research. We first illustrate the primary use of Lokomat in rehabilitation and focus on control aspects and algorithms associated with robotic rehabilitation of locomotion. Then we describe two applications where the Lokomat was used as a research tool. The first application is closed-loop control of the FES-induced shank movement and the second is the development of a neural network model of the spinal locomotor centers. This model was used to derive a neural locomotion controller for the Lokomat.
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?
In the citing paper
“The effectiveness of Lokomat as an intervention in gait rehabilitation to improve overground walking function in neurological patients has been verified through worldwide clinical studies [26].”
From Recent developments and challenges of lower extremity exoskeletons (2016) · cites this paper as [26]
In the citing paper
“In trajectory tracking control, the predefined trajectories of the lower limb joints, usually collected from healthy individuals, are used as the control targets [26].”
From Recent developments and challenges of lower extremity exoskeletons (2016) · cites this paper as [26]
Citations
Cites
Treadmill training of paraplegic patients using a robotic orthosis.
Colombo, G., Joerg, M., Schreier, R., & Dietz, V. (2000) · PubMed · Cited by 1,114
Hesse, S., Bertelt, C., Jahnke, M. T., Schaffrin, A., Baake, P., Maležič, M., & Mauritz, K.-H. (1995) · Stroke · doi:10.1161/01.str.26.6.976 · Cited by 612
Laufband (Treadmill) Therapy in Incomplete Paraplegia and Tetraplegia
Wernig, A., Nanassy, A., & MÜLLER, S. (1999) · Journal of Neurotrauma · doi:10.1089/neu.1999.16.719 · Cited by 160
Transcutaneous Functional Electrical Stimulator “Compex Motion”
Keller, T., Popović, M. R., Pappas, I. P. I., & Müller, P. (2002) · Artificial Organs · doi:10.1046/j.1525-1594.2002.06934.x · Cited by 82
Impedance Control Based Gait-Pattern Adaptation for a Robotic Rehabilitation Device
Jezernik, S., Jezernik, K., & Morari, M. (2002) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)33971-x · Cited by 13
Controlling the human-robot interaction for robotic rehabilitation of locomotion
Jezernik, S., & Morari, M. (2003) · International Workshop on Advanced Motion Control · doi:10.1109/amc.2002.1026904 · Cited by 12
A NOVEL SLIDING MODE CONTROLLER FOR FUNCTIONAL ELECTRICAL STIMULATION
Jezernik, S., Inderbitzin, P., Keller, T., & Riener, R. (2002) · IFAC Proceedings Volumes · doi:10.3182/20020721-6-es-1901.01342 · Cited by 10
Research works printed but not linked: 2
- Jezernik S, Colombo G, Morari M. Joint-angle trajectory adaptation for the robotic orthosis Lokomat. In: Proceedings of the Workshop on European Scientific and Industrial Collaboration (WESIC). Enschede, The Netherlands, 2001: pp 451–456. (available from http://www.aut.ee.ethz.ch)
- Jezernik S, Inderbitzin P, Keller T. Riener R. Sliding mode control of Functional Electrical Stimulation for knee joint angle tracking. Proceedings of the 7th Vienna International Workshop on Functional Electrical Stimulation. Vienna, 2001: pp 160–163.
Cited by
Sorted by citations
Ham, R. V., Sugar, T. G., Vanderborght, B., Hollander, K. W., & Lefeber, D. (2009) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2009.933629 · Cited by 834
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
Lebedev, M., & Nicolelis, M. A. L. (2017) · Physiological Reviews · doi:10.1152/physrev.00027.2016 · Cited by 695
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 Robotic Orthosis Lokomat was developed by Hocoma (Zurich, Switzerland) for gait rehabilitation; it provides functional walking training for patients with mobility dysfunctions in their lower limbs (Figure 1A) [25,26].”
BackgroundMethodA 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
Husemann, B., Müller, F., Krewer, C., Heller, S., & Koenig, E. (2007) · Stroke · doi:10.1161/01.str.0000254607.48765.cb · Cited by 418
Metadata
- Authors
- Jezernik, S., Colombo, G., Keller, T., Frueh, H., & Morari, M.
- Affiliations
- University of Zurich (CH)
- Universitätsklinik Balgrist (CH)
- ETH Zurich (CH)
- Corresponding author
- Jezernik, Sašo
- Venue
- Neuromodulation Technology at the Neural Interface
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 6
- Issue
- 2
- Pages
- 108-115
- ISSN
- 1094-7159 (ISSN-L)
- OpenAlex
- W2105236479
- Cited by
- 503
- References
- 7
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 21 · 2023: 40 · 2022: 28 · 2021: 46 · 2020: 35 · 2019: 45 · 2018: 32 · 2017: 32 · 2016: 25 · 2015: 29 · 2014: 26 · 2013: 29 · 2012: 14
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuromodulation Technology at the Neural Interface (publishedVersion)
- PubMed (publishedVersion)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion)
- 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
- Lokomat, robotic orthosis, gait rehabilitation, treadmill training, spinal cord injury, stroke, functional electrical stimulation, feedback control
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
