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Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 policy source
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Citations

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38 Dimensions

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241 Mendeley
Title
Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report
Published in
Journal of NeuroEngineering and Rehabilitation, November 2016
DOI 10.1186/s12984-016-0206-x
Pubmed ID
Authors

C. Bayón, S. Lerma, O. Ramírez, J.I. Serrano, M.D. Del Castillo, R. Raya, J.M. Belda-Lois, I. Martínez, E. Rocon

Abstract

Cerebral Palsy (CP) is a disorder of posture and movement due to a defect in the immature brain. The use of robotic devices as alternative treatment to improve the gait function in patients with CP has increased. Nevertheless, current gait trainers are focused on controlling complete joint trajectories, avoiding postural control and the adaptation of the therapy to a specific patient. This paper presents the applicability of a new robotic platform called CPWalker in children with spastic diplegia. CPWalker consists of a smart walker with body weight and autonomous locomotion support and an exoskeleton for joint motion support. Likewise, CPWalker enables strategies to improve postural control during walking. The integrated robotic platform provides means for testing novel gait rehabilitation therapies in subjects with CP and similar motor disorders. Patient-tailored therapies were programmed in the device for its evaluation in three children with spastic diplegia for 5 weeks. After ten sessions of personalized training with CPWalker, the children improved the mean velocity (51.94 ± 41.97 %), cadence (29.19 ± 33.36 %) and step length (26.49 ± 19.58 %) in each leg. Post-3D gait assessments provided kinematic outcomes closer to normal values than Pre-3D assessments. The results show the potential of the novel robotic platform to serve as a rehabilitation tool. The autonomous locomotion and impedance control enhanced the children's participation during therapies. Moreover, participants' postural control was substantially improved, which indicates the usefulness of the approach based on promoting the patient's trunk control while the locomotion therapy is executed. Although results are promising, further studies with bigger sample size are required.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 241 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 12%
Student > Ph. D. Student 29 12%
Student > Bachelor 25 10%
Researcher 20 8%
Student > Doctoral Student 12 5%
Other 41 17%
Unknown 84 35%
Readers by discipline Count As %
Nursing and Health Professions 43 18%
Engineering 30 12%
Medicine and Dentistry 26 11%
Sports and Recreations 7 3%
Neuroscience 6 2%
Other 27 11%
Unknown 102 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 July 2022.
All research outputs
#4,728,388
of 22,925,760 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#296
of 1,285 outputs
Outputs of similar age
#77,634
of 307,569 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 9 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.