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A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2012
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Title
A novel walking speed estimation scheme and its application to treadmill control for gait rehabilitation
Published in
Journal of NeuroEngineering and Rehabilitation, August 2012
DOI 10.1186/1743-0003-9-62
Pubmed ID
Authors

Jungwon Yoon, Hyung-Soon Park, Diane Louise Damiano

Abstract

Virtual reality (VR) technology along with treadmill training (TT) can effectively provide goal-oriented practice and promote improved motor learning in patients with neurological disorders. Moreover, the VR + TT scheme may enhance cognitive engagement for more effective gait rehabilitation and greater transfer to over ground walking. For this purpose, we developed an individualized treadmill controller with a novel speed estimation scheme using swing foot velocity, which can enable user-driven treadmill walking (UDW) to more closely simulate over ground walking (OGW) during treadmill training. OGW involves a cyclic acceleration-deceleration profile of pelvic velocity that contrasts with typical treadmill-driven walking (TDW), which constrains a person to walk at a preset constant speed. In this study, we investigated the effects of the proposed speed adaptation controller by analyzing the gait kinematics of UDW and TDW, which were compared to those of OGW at three pre-determined velocities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Italy 1 <1%
Austria 1 <1%
Netherlands 1 <1%
Czechia 1 <1%
Spain 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 213 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 19%
Student > Master 37 17%
Student > Bachelor 27 12%
Researcher 15 7%
Student > Doctoral Student 15 7%
Other 39 18%
Unknown 46 21%
Readers by discipline Count As %
Engineering 59 27%
Medicine and Dentistry 29 13%
Nursing and Health Professions 14 6%
Sports and Recreations 14 6%
Psychology 10 5%
Other 37 17%
Unknown 59 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 May 2013.
All research outputs
#18,338,946
of 22,710,079 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#983
of 1,278 outputs
Outputs of similar age
#130,383
of 170,195 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#11
of 16 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 170,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.