Evidence map›Paper›PMID 37114826›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Bioinspired Soft Elastic Metamaterials for Reconstruction of Natural Hearing.

Hanchuan Tang, Shujie Zhang, Ye Tian, Tianyu Kang, Cheng Zhou, Shuaikang Yang, Ying Liu, Xurui Liu, Qicai Chen, Hongjun Xiao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Bioinspired Soft Elastic Metamaterials for Reconstruction of Natural Hearing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

12 authors at 4 institutions in 1 country.

Hanchuan TangSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID 0000-0002-8494-9031
Shujie ZhangCollege of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Ye TianSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Tianyu KangSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Cheng ZhouSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Shuaikang YangSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Ying LiuSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Xurui LiuSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Qicai ChenSchool of Life Sciences, Central China Normal University, Wuhan, 430074, China.
Hongjun XiaoDepartment of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Wei ChenCollege of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Jianfeng ZangSchool of Integrated Circuits and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID 0000-0002-1775-4605
Wuhan National Laboratory for Optoelectronics · CNHuazhong University of Science and Technology · CNCentral China Normal University · CNUnion Hospital · CN

Funding

China Postdoctoral Science Foundation 2022M711256National Natural Science Foundation of China 51820105008National Natural Science Foundation of China 52173280
6 · The paper itself

Abstract

Natural hearing which means hearing naturally like normal people is critical for patients with hearing loss to participate in life. Cochlear implants have enabled numerous severe hearing loss patients to hear voice functionally, while cochlear implant users can hardly distinguish different tones or appreciate music subject to the absence of rate coding and insufficient frequency channels. Here a bioinspired soft elastic metamaterial that reproduces the shape and key functions of the human cochlea is reported. Inspired by human cochlea, the metamaterials are designed to possess graded microstructures with high effective refractive index distributed on a spiral shape to implement position-related frequency demultiplexing, passive sound enhancements of 10 times, and high-speed parallel processing of 168-channel sound/piezoelectric signals. Besides, it is demonstrated that natural hearing artificial cochlea has fine frequency resolution up to 30 Hz, a wide audible range from 150-12 000 Hz, and a considerable output voltage that can activate the auditory pathway in mice. This work blazes a promising trail for reconstruction of natural hearing in patients with severe hearing loss.

Indexed as

Cochlear ImplantationCochlear ImplantsDeafnessHearing LossAnimalsHearingHumansMicecochlear implantselastic metamaterialsnatural hearingpiezoelectric materialssoft materials

Identifiers

PMID37114826
PMCPMC10369269
OpenAlexW4367314061

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.