Evidence map›Paper›PMID 34114610›Full record

ArticleJournal of biomechanical engineering2021

Mechanical Efficiency Investigation of an Ankle-Assisted Robot for Human Walking With a Backpack-Load.

Longhan Xie, Zhihou Wang, Guowei Huang, Biao Liu, Zikang Zhou

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Longhan XieShien-ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Zhihou WangShien-ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Guowei HuangShien-ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Biao LiuShien-ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Zikang ZhouShien-ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this work is to investigate the efficiency of wearable assistive devices under different load-carriage walking. We designed an experimental platform with a lightweight ankle-assisted robot. Eight subjects were tested in three experimental conditions: free walk with load (FWL), power-off with load (POFL), and power-on with load for different levels of force at a walking speed of 3.6 km/h. We recorded the metabolic expenditure and kinematics of the subjects under three levels of load-carried (10%, 20%, and 30% of body mass). We define the critical force, where at a certain load, the robot inputs a certain force to the human body, and with the assistance of this force, the positive effect of the robot on the human body exactly compensates for the negative effect. The critical forces from the fit of the assistive force and metabolic cost curves were 130 N, 160 N, and 215 N at three different load levels. The intrinsic weight of our device increases mechanical work at the ankle as the load weight rises with 2.08 J, 2.43 J, and 2.73 J for one leg during a gait cycle. With weight bearing increasing, the ratio of the mechanical work input by the robot to the mechanical work output by the weight of the device decreases (from 0.904 to 0.717 and 0.513), verifying that the walking assistance efficiency of such devices decreases as the weight rises.

Indexed as

AnkleRoboticsWalkingWeight-BearingAdultBiomechanical PhenomenaFemaleHumansMaleMechanical Phenomenaefficiencyloaded walkingmechanical workmetabolic costrobot

Identifiers

PMID34114610
PMCPMC8299804

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.