Evidence map›Paper›PMID 40677283›Full record

ArticleNature electronics2024

A wearable echomyography system based on a single transducer.

Xiaoxiang Gao, Xiangjun Chen, Muyang Lin, Wentong Yue, Hongjie Hu, Siyu Qin, Fangao Zhang, Zhiyuan Lou, Lu Yin, Hao Huang and 13 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
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  10. Temperature-responsive polymers for bioanalytical systems.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  11. Article
  12. Article
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  14. Single polymer fiber-based ultrasensitive and multifunctional flexible microsensor via arthropod-inspired crack-helix coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Review
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  17. Article
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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

23 authors.

Xiaoxiang GaoAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0009-0000-0590-2140
Xiangjun ChenMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.ORCID 0009-0008-8760-956X
Muyang LinAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-6627-6294
Wentong YueAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Hongjie HuAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-3792-4894
Siyu QinDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-7103-1953
Fangao ZhangMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Zhiyuan LouAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0707-7313
Lu YinAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-5075-5263
Hao HuangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Sai ZhouMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-9878-877X
Yizhou BianAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Xinyi YangMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Yangzhi ZhuTerasaki Institute for Biomedical Innovation, Los Angeles, CA, USA.ORCID 0000-0003-2920-3365
Jing MuMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-1263-7415
Xinyu WangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Geonho ParkAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-1976-4460
Chengchangfeng LuDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-3807-9917
Ruotao WangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Ray S WuAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0561-0508
Joseph WangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-4921-9674
Jinghong LiDepartment of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-2497-9295
Sheng XuAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-3120-4992

Funding

A Wearable Ultrasonic System for Automatic, Continuous, and Noninvasive Monitoring of Central Blood PressureR01EB033464 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI XU, SHENG · 2022 to 2025
$2.0M
Recording central blood flow velocity waveform by conformal ultrasonic devicesR21EB027303 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI XU, SHENG · 2019 to 2022
$775k
Diagnosing Small Joints by Soft Ultrasound ProbesR21EB025521 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI XU, SHENG · 2018 to 2019
$399k
NIBIB NIH HHS R01 EB033464NIBIB NIH HHS R21 EB025521NIBIB NIH HHS R21 EB027303
6 · The paper itself

Abstract

Wearable electromyography devices can detect muscular activity for health monitoring and body motion tracking, but this approach is limited by weak and stochastic signals with a low spatial resolution. Alternatively, echomyography can detect muscle movement using ultrasound waves, but typically relies on complex transducer arrays, which are bulky, have high power consumption and can limit user mobility. Here we report a fully integrated wearable echomyography system that consists of a customized single transducer, a wireless circuit for data processing and an on-board battery for power. The system can be attached to the skin and provides accurate long-term wireless monitoring of muscles. To illustrate its capabilities, we use this system to detect the activity of the diaphragm, which allows the recognition of different breathing modes. We also develop a deep learning algorithm to correlate the single-transducer radio-frequency data from forearm muscles with hand gestures to accurately and continuously track 13 hand joints with a mean error of only 7.9°.

Identifiers

PMID40677283
PMCPMC12269893

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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.