Evidence map›Paper›PMID 37217752›Full record

ArticleNature biotechnology2024

A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects.

Muyang Lin, Ziyang Zhang, Xiaoxiang Gao, Yizhou Bian, Ray S Wu, Geonho Park, Zhiyuan Lou, Zhuorui Zhang, Xiangchen Xu, Xiangjun Chen and 23 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing 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

121 citing papers in PubMed.

  1. Trial
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  9. Article
  10. Review
  11. Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  12. Article
  13. A Conformable CMOS Ultrasound System for Point-of-Care Imaging.medRxiv : the preprint server for health sciences · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

61 more citing papers are in PubMed but not listed here.

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

33 authors.

Muyang Lin *Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6627-6294
Ziyang Zhang *Department of Computer Science Engineering, University of California San Diego, La Jolla, CA, USA.
Xiaoxiang Gao *Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Yizhou BianDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Ray S WuDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0561-0508
Geonho ParkDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-1976-4460
Zhiyuan LouDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Zhuorui ZhangDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Xiangchen XuDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Xiangjun ChenMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Andrea KangDepartment of Electrical and Computer 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.
Wentong YueDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Lu YinDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-5075-5263
Chonghe WangDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Baiyan QiMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Sai ZhouMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Hongjie HuDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Hao HuangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Mohan LiDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
Yue GuMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.
Jing MuMaterials Science and Engineering Program, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-1263-7415
Albert YangDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Amer YaghiDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Yimu ChenDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Yusheng LeiDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Chengchangfeng LuDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-3807-9917
Ruotao WangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Joseph WangDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA.
Shu XiangSoftsonics LLC, San Diego, CA, USA.
Erik B KistlerDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Nuno VasconcelosDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
Sheng XuDepartment of Nanoengineering, University of California San Diego, La Jolla, CA, USA. shengxu@ucsd.edu.ORCID http://orcid.org/0000-0002-3120-4992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in wearable ultrasound technologies have demonstrated the potential for hands-free data acquisition, but technical barriers remain as these probes require wire connections, can lose track of moving targets and create data-interpretation challenges. Here we report a fully integrated autonomous wearable ultrasonic-system-on-patch (USoP). A miniaturized flexible control circuit is designed to interface with an ultrasound transducer array for signal pre-conditioning and wireless data communication. Machine learning is used to track moving tissue targets and assist the data interpretation. We demonstrate that the USoP allows continuous tracking of physiological signals from tissues as deep as 164 mm. On mobile subjects, the USoP can continuously monitor physiological signals, including central blood pressure, heart rate and cardiac output, for as long as 12 h. This result enables continuous autonomous surveillance of deep tissue signals toward the internet-of-medical-things.

Indexed as

Wearable Electronic DevicesHumansVital Signs

Identifiers

PMID37217752

What OpenQuestion holds

Textmetadata
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.