Evidence map›Paper›PMID 40736074›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.

Jingyi Yang, Si Li, Hian Hian See, Kelu Yu, Aeree Kim, Jacob Kaihong Lim, Benjamin Tse, Shiwei Yang, Yan Zhi Tan, Xinzhi Zhang and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Jingyi YangDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0000-0002-3757-8944
Si LiDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0000-0003-0903-7312
Hian Hian SeeDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Kelu YuDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0009-0009-5662-7658
Aeree KimDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Jacob Kaihong LimInstitute of Innovation in Health Technology (iHealthtech), National University of Singapore, Singapore, 119276, Singapore.
Benjamin TseInstitute of Innovation in Health Technology (iHealthtech), National University of Singapore, Singapore, 119276, Singapore.
Shiwei YangDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.
Yan Zhi TanDepartment of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore.
Xinzhi ZhangEvolution Innovation Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.ORCID 0009-0003-8970-8194
Xuanyi ZhouEvolution Innovation Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.ORCID 0009-0000-8013-8242
Quan XiongDepartment of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore.
Yi En KouDepartment of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore.
Linkun LiuDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0009-0004-8594-7136
Eng Wei GohDepartment of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore.
Marcelo H AngDepartment of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0000-0001-8277-6408
Raye Chen-Hua YeowEvolution Innovation Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.ORCID 0000-0002-6210-4548
Benjamin C K TeeDepartment of Materials Science and Engineering, National University of Singapore, Singapore, 117575, Singapore.ORCID 0000-0002-9180-4105

Funding

Agency for Science, Technology and Research, Singapore (A*STAR) A20H8A0241Agency for Science, Technology and Research, Singapore (A*STAR) M23NBK0090
6 · The paper itself

Abstract

Many aquatic vertebrates rely on neuromasts in their lateral line system to detect water vibrations and pressure gradients. These neuromasts contain specialized hair cells that function as mechanoreceptors, converting mechanical stimuli into electric signals for brain processing. While neuromorphic sensors can emulate biologic sensory systems, they are facing significant challenges in underwater stability and complex data processing. Here, a bioinspired neuromorphic soft pressure sensor designed for stable underwater performance and simplified signal processing is proposed. This is achieved through a novel integration of micro-magnetic spheres, a microfluidic channel, and alternating coil connections. This sensor exhibits self-spiking behavior upon applied force with high linearity (R

Indexed as

Biosensing TechniquesPressureWaterAction PotentialsAnimalsMachine LearningRoboticsWaterhigh linearitymagnetoelectric pressure sensorneuromorphic soft sensorunderwater applications

Identifiers

PMID40736074
PMCPMC12710597

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.