Evidence map›Paper›PMID 42016470›Full record

ArticleNature electronics2024

A self-filtering liquid acoustic sensor for voice recognition.

Xun Zhao, Yihao Zhou, Aaron Li, Jing Xu, Shreesh Karjagi, Edward Hahm, Lara Rulloda, Justin Li, John Hollister, Pirouz Kavehpour and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature electronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Customizing Tactile Sensors via Machine Learning-Driven Inverse Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Advances in Soft Mechanocaloric Materials.Advanced functional materials · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Xun ZhaoDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-5543-0081
Yihao ZhouDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
Aaron LiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0009-0004-9561-8096
Jing XuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-3157-6902
Shreesh KarjagiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
Edward HahmDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
Lara RullodaDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
Justin LiDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
John HollisterDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-2150-3064
Pirouz KavehpourDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
Jun ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3439-0495

Funding

The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
Magnetoelastic Vascular GraftsR01HL175135 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jun Chen · 2025 to 2026
$1.1M
A soft magnetoelastic microneedle patch for rapid skin cancer screeningR01CA287326 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jun Chen · 2024 to 2026
$1.1M
American Heart Association-American Stroke Association 23IPA1054908American Heart Association-American Stroke Association 23SCEFIA1157587American Heart Association-American Stroke Association 23TPA1141360NCATS NIH HHS KL2 TR001882NCI NIH HHS R01 CA287326NHLBI NIH HHS R01 HL175135
6 · The paper itself

Abstract

Wearable acoustic sensors can be used for voice recognition. However, the capabilities of such devices, which are typically based on solid materials, are often restricted by ambient noise, motion artefacts and low conformability to the skin. Here we report a liquid acoustic sensor for voice recognition. The approach is based on a three-dimensional oriented and ramified magnetic network structure of neodymium-iron-boron magnetic nanoparticles suspended in a carrier fluid, which behaves like a permanent magnet. The sensor can discriminate small pressures (0.9 Pa), has a high signal-to-noise ratio (69.1 dB) and provides self-filtering capabilities that can remove low-frequency biomechanical motion artefact (less than 30 Hz). We use the liquid acoustic sensor-together with a machine learning algorithm-to create a wearable voice recognition system that offers a recognition accuracy of 99% in a noisy environment.

Identifiers

PMID42016470
PMCPMC13095302

What OpenQuestion holds

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Registered trials

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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.