Evidence map›Paper›PMID 35647361›Full record

ArticleHeliyon2022

Study the biomechanical performance of the membranous semicircular canal based on bionic models.

Yixiang Bian, Shien Lu, Zhi Wang, Yongbin Qin, Jialing Li, Guangming Guo, Junjie Gong, Yani Jiang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. 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
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Yixiang BianSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Shien LuSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Zhi WangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Yongbin QinSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Jialing LiSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Guangming GuoSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Junjie GongSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Yani JiangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A BA (bionic ampulla) was designed and fabricated using an SMPF (Symmetric electrodes Metal core PVDF Fiber) sensor, which could imitate the sensory hair cells to sense the deformation of the cupula of the BA. Based on the BA, a bionic semicircular canal with membrane semicircular canal (MBSC) and a bionic semicircular canal without membrane semicircular canal (NBSC) were designed and fabricated. The biomechanical models of the MBSC and NBSC were established. The biomechanical models were verified through the perception experiments of the MBSC and the NBSC. The results showed that the SMPF could sense the deformation of the cupula. The MBSC and NBSC could sense the angular velocity and accelerations. What's more, it was speculated that in a human body, the endolymph probably had a function of liquid mass while the membranous semicircular canal and the cupula had a function similar to a spring in the human semicircular canal.

Indexed as

Biomechanical modelBionic semicircular canalMembrane semicircular canalSymmetric electrodes Metal core PVDF Fiber (SMPF)

Identifiers

PMID35647361
PMCPMC9136265
OpenAlexW4281381652

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.