Evidence map›Paper›PMID 37186605›Full record

ArticlePloS one2023

Concept design of hybrid-actuated lower limb exoskeleton to reduce the metabolic cost of walking with heavy loads.

Qiaoling Meng, Bolei Kong, Qingxin Zeng, Cuizhi Fei, Hongliu Yu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
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 at 1 institution in 1 country.

Qiaoling MengInstitute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China.
Bolei KongInstitute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China.
Qingxin ZengInstitute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China.
Cuizhi FeiInstitute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China.
Hongliu YuInstitute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China.ORCID 0000-0002-2812-1192
University of Shanghai for Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes the conceptual design method for a hybrid-actuated lower limb exoskeleton based on energy consumption simulation. Firstly, the human-machine coupling model is established in OpenSim based on the proposed three passive assistance schemes. On this basis, the method of simulating muscle driving is used to find out the scheme that can reduce the metabolic rate the most with 3 passive springs models. Then, an active-passive cooperative control strategy is designed based on the finite state machine to coordinate the operation of the power mechanism and the passive energy storage structure and improve the mobility of the wearer. In the end, a simulation experiment based on the human-machine coupled model with the addition of active actuation is proceeded to evaluate its assistance performance according to reducing metabolic rate. The results show that the average metabolic cost decreased by 7.2% with both spring and motor. The combination of passive energy storage structures with active actuators to help the wearer overcome the additional consumption of energy storage can further reduce the body's metabolic rate. The proposed conceptual design method can also be utilized to implement the rapid design of a hybrid-actuated lower limb exoskeleton.

Indexed as

Exoskeleton DeviceBiomechanical PhenomenaHumansLower ExtremityMuscle, SkeletalWalking

Identifiers

PMID37186605
PMCPMC10184947
OpenAlexW4376643066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.