Evidence map›Paper›PMID 34208947›Full record

ArticleBiosensors2021

A Novel Lightweight Wearable Soft Exosuit for Reducing the Metabolic Rate and Muscle Fatigue.

Lingxing Chen, Chunjie Chen, Zhuo Wang, Xin Ye, Yida Liu, Xinyu Wu

Abstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed.

  1. A Resistive Soft Robotic Exosuit for Dynamic Body Loading in Hypogravity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Trial
  2. Article
  3. Article
  4. [Research status of lower limb exoskeleton rehabilitation robot].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
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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

6 authors.

Lingxing ChenShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Chunjie ChenShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Zhuo WangShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Xin YeShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yida LiuShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Xinyu WuShenzhen Institute of Adanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Funding

Guangdong Basic and Applied Basic Research Foundation under grant 2019A1515110576Jinan Science and Technology Projects 2019GXRC048Natural Science Foundation of China 62003327Natural Science Foundation of china under Grant U1913207Natural Science Foundation of Guangdong Province 2019A1515010782Natural Science Foundation of Guangdong Province, China 2021A1515011699NSFC-Shenzhen Robotics Research Center Project U2013207Shenzhen Technology Research Project under Grant JCYJ20180302145539583Shenzhen Technology Research Project under Grant JSGG20180507182901552
6 · The paper itself

Abstract

Wearable robotic devices have been proved to considerably reduce the energy expenditure of human walking. It is not only suitable for healthy people, but also for some patients who require rehabilitation exercises. However, in many cases, the weight of soft exosuits are relatively large, which makes it difficult for the assistant effect of the system to offset the metabolic consumption caused by the extra weight, and the heavy weight will make people uncomfortable. Therefore, reducing the weight of the whole system as much as possible and keeping the soft exosuit output power unchanged, may improve the comfort of users and further reduce the metabolic consumption. In this paper, we show that a novel lightweight soft exosuit which is currently the lightest among all known powered exoskeletons, which assists hip flexion. Indicated from the result of experiment, the novel lightweight soft exosuit reduces the metabolic consumption rate of wearers when walking on the treadmill at 5 km per hour by 11.52% compared with locomotion without the exosuit. Additionally, it can reduce more metabolic consumption than the hip extension assisted (HEA) and hip flexion assisted (HFA) soft exosuit which our team designed previously, which has a large weight. The muscle fatigue experiments show that using the lightweight soft exosuit can also reduce muscle fatigue by about 10.7%, 40.5% and 5.9% for rectus femoris, vastus lateralis and gastrocnemius respectively compared with locomotion without the exosuit. It is demonstrated that decreasing the weight of soft exosuit while maintaining the output almost unchanged can further reduce metabolic consumption and muscle fatigue, and appropriately improve the users' comfort.

Indexed as

Exoskeleton DeviceBiomechanical PhenomenaEnergy MetabolismExercise TherapyGaitHumansMuscle FatigueRoboticsWalkingWearable Electronic Devicescomfortlightweightmetabolic ratemuscle fatiguewearable soft exosuit

Identifiers

PMID34208947
PMCPMC8301778

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.