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Attention Score in Context
| Title |
A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, May 2016
|
| DOI | 10.1186/s12984-016-0150-9 |
| Pubmed ID | |
| Authors |
Fausto A. Panizzolo, Ignacio Galiana, Alan T. Asbeck, Christopher Siviy, Kai Schmidt, Kenneth G. Holt, Conor J. Walsh |
| Abstract |
Carrying load alters normal walking, imposes additional stress to the musculoskeletal system, and results in an increase in energy consumption and a consequent earlier onset of fatigue. This phenomenon is largely due to increased work requirements in lower extremity joints, in turn requiring higher muscle activation. The aim of this work was to assess the biomechanical and physiological effects of a multi-joint soft exosuit that applies assistive torques to the biological hip and ankle joints during loaded walking. The exosuit was evaluated under three conditions: powered (EXO_ON), unpowered (EXO_OFF) and unpowered removing the equivalent mass of the device (EXO_OFF_EMR). Seven participants walked on an instrumented split-belt treadmill and carried a load equivalent to 30 % their body mass. We assessed their metabolic cost of walking, kinetics, kinematics, and lower limb muscle activation using a portable gas analysis system, motion capture system, and surface electromyography. Our results showed that the exosuit could deliver controlled forces to a wearer. Net metabolic power in the EXO_ON condition (7.5 ± 0.6 W kg(-1)) was 7.3 ± 5.0 % and 14.2 ± 6.1 % lower than in the EXO_OFF_EMR condition (7.9 ± 0.8 W kg(-1); p = 0.027) and in the EXO_OFF condition (8.5 ± 0.9 W kg(-1); p = 0.005), respectively. The exosuit also reduced the total joint positive biological work (sum of hip, knee and ankle) when comparing the EXO_ON condition (1.06 ± 0.16 J kg(-1)) with respect to the EXO_OFF condition (1.28 ± 0.26 J kg(-1); p = 0.020) and to the EXO_OFF_EMR condition (1.22 ± 0.21 J kg(-1); p = 0.007). The results of the present work demonstrate for the first time that a soft wearable robot can improve walking economy. These findings pave the way for future assistive devices that may enhance or restore gait in other applications. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 22% |
| Canada | 1 | 11% |
| Japan | 1 | 11% |
| India | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 464 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 462 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 124 | 27% |
| Student > Master | 75 | 16% |
| Researcher | 58 | 13% |
| Student > Bachelor | 40 | 9% |
| Student > Doctoral Student | 23 | 5% |
| Other | 55 | 12% |
| Unknown | 89 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 247 | 53% |
| Medicine and Dentistry | 24 | 5% |
| Nursing and Health Professions | 15 | 3% |
| Sports and Recreations | 15 | 3% |
| Neuroscience | 12 | 3% |
| Other | 41 | 9% |
| Unknown | 110 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 256. 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 02 September 2020.
All research outputs
#118,760
of 22,869,263 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#3
of 1,279 outputs
Outputs of similar age
#2,573
of 311,729 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 17 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,279 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 particularly well, scoring higher than 99% 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 311,729 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.