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Attention Score in Context
| Title |
Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, November 2017
|
| DOI | 10.1186/s12984-017-0333-z |
| Pubmed ID | |
| Authors |
Su-Hyun Lee, Hwang-Jae Lee, Won Hyuk Chang, Byung-Ok Choi, Jusuk Lee, Jeonghun Kim, Gyu-Ha Ryu, Yun-Hee Kim |
| Abstract |
A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily living in elderly adults and patients with gait disorders. In this study, we investigated the effects of the Gait-enhancing Mechatronic System (GEMS), a new wearable robotic hip-assist device developed by Samsung Electronics Co, Ltd., Korea, on gait performance and foot pressure distribution in elderly adults. Thirty elderly adults who had no neurological or musculoskeletal abnormalities affecting gait participated in this study. A three-dimensional (3D) motion capture system, surface electromyography and the F-Scan system were used to collect data on spatiotemporal gait parameters, muscle activity and foot pressure distribution under three conditions: free gait without robot assistance (FG), robot-assisted gait with zero torque (RAG-Z) and robot-assisted gait (RAG). We found increased gait speed, cadence, stride length and single support time in the RAG condition. Reduced rectus femoris and medial gastrocnemius muscle activity throughout the terminal stance phase and reduced effort of the medial gastrocnemius muscle throughout the pre-swing phase were also observed in the RAG condition. In addition, walking with the assistance of GEMS resulted in a significant increase in foot pressure distribution, specifically in maximum force and peak pressure of the total foot, medial masks, anterior masks and posterior masks. The results of the present study reveal that GEMS may present an alternative way of restoring age-related changes in gait such as gait instability with muscle weakness, reduced step force and lower foot pressure in elderly adults. In addition, GEMS improved gait performance by improving push-off power and walking speed and reducing muscle activity in the lower extremities. NCT02843828 . |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 229 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 15% |
| Student > Bachelor | 30 | 13% |
| Researcher | 27 | 12% |
| Student > Ph. D. Student | 27 | 12% |
| Student > Doctoral Student | 8 | 3% |
| Other | 31 | 14% |
| Unknown | 71 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 45 | 20% |
| Nursing and Health Professions | 30 | 13% |
| Medicine and Dentistry | 24 | 10% |
| Sports and Recreations | 14 | 6% |
| Neuroscience | 11 | 5% |
| Other | 30 | 13% |
| Unknown | 75 | 33% |
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 08 December 2017.
All research outputs
#17,922,331
of 23,011,300 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#947
of 1,291 outputs
Outputs of similar age
#306,000
of 438,556 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#24
of 27 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,291 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 22nd percentile – i.e., 22% 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 438,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.