Evidence map›Paper›PMID 35669055›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Cost Function Determination for Human Lifting Motion

Biwei Tang, Yaling Peng, Jing Luo, Yaqian Zhou, Muye Pang, Kui Xiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Biwei TangIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Yaling PengIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Jing LuoIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Yaqian ZhouIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Muye PangIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Kui XiangIntelligent System Research Institute, School of Automation, Wuhan University of Technology, Wuhan, China.
Wuhan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating the optimal control strategy involved in human lifting motion can provide meritorious insights on designing and controlling wearable robotic devices to release human low-back pain and fatigue. However, determining the latent cost function regarding this motion remains challenging due to the complexities of the human central nervous system. Recently, it has been discovered that the underlying cost function of a biological motion can be identified from an inverse optimization control (IOC) issue, which can be handled

Indexed as

bilevel optimizationdirect collocationhuman lifting motioninverse optimization controlparticle swarm optimization

Identifiers

PMID35669055
PMCPMC9163668
OpenAlexW4280577911

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.