Evidence map›Paper›PMID 36343234›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Dynamics of plosive consonants via imaging, computations, and soft electronics.

Jin-Tae Kim, Wei Ouyang, Hanul Hwang, Hyoyoung Jeong, Soohyeon Kang, Sanjeeb Bose, Sung Soo Kwak, Xiaoyue Ni, Hyeonsu Kim, Jaehong Park and 6 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

16 authors at 5 institutions in 2 countries.

Jin-Tae KimQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.ORCID 0000-0001-9933-1931
Wei OuyangQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.ORCID 0000-0003-4279-661X
Hanul HwangCenter for Turbulence Research, Stanford University, Stanford, CA 94305.
Hyoyoung JeongQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.ORCID 0000-0002-1808-7824
Soohyeon KangDepartment of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801.
Sanjeeb BoseCenter for Turbulence Research, Stanford University, Stanford, CA 94305.ORCID 0000-0001-9540-5411
Sung Soo KwakQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.
Xiaoyue NiDepartment of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University, Durham, NC 27708.ORCID 0000-0002-1822-1122
Hyeonsu KimDepartment of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801.
Jaehong ParkDepartment of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801.ORCID 0000-0003-2974-7493
Hope ChenDepartment of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
Alan SoetiknoDepartment of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
Joohee KimQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.
Shuai XuDepartment of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611.
Leonardo P ChamorroDepartment of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801.ORCID 0000-0002-5199-424X
John A RogersQuerrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208.
Northwestern University · USUniversity of Illinois Urbana-Champaign · USCascade Technologies (United States) · USDuke University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A quantitative understanding of the coupled dynamics of flow and particles in aerosol and droplet transmission associated with speech remains elusive. Here, we summarize an effort that integrates insights into flow-particle dynamics induced by the production plosive sounds during speech with skin-integrated electronic systems for monitoring the production of these sounds. In particular, we uncover diffusive and ballistic regimes separated by a threshold particle size and characterize the Lagrangian acceleration and pair dispersion. Lagrangian dynamics of the particles in the diffusive regime exhibit features of isotropic turbulence. These fundamental findings highlight the value in skin-interfaced wireless sensors for continuously measuring critical speech patterns in clinical settings, work environments, and the home, based on unique neck biomechanics associated with the generation of plosive sounds. We introduce a wireless, soft device that captures these motions to enable detection of plosive sounds in multiple languages through a convolutional neural network approach. This work spans fundamental flow-particle physics to soft electronic technology, with implications in monitoring and studying critical speech patterns associated with aerosol and droplet transmissions relevant to the spread of infectious diseases.

Indexed as

ElectronicsSpeechAerosolsMotionParticle SizeAerosolscomputational fluid dynamicsexperimental fluid mechanicsflow-particle physicsmachine learningskin-integrated electronics

Identifiers

PMID36343234
PMCPMC9674252
OpenAlexW4308430175

What OpenQuestion holds

Textmetadata
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.