Evidence map›Paper›PMID 39705345›Full record

ArticleScience advances2024

A wearable triboelectric impedance tomography system for noninvasive and dynamic imaging of biological tissues.

Peng Yang, Zhaoqi Liu, Siyao Qin, Jun Hu, Songmei Yuan, Zhong Lin Wang, Xiangyu Chen

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  10. Wearable bioelectronics for cancer theranostics.Microsystems & nanoengineering · 2025
    Review
  11. Article
  12. Review
  13. 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

7 authors.

Peng YangBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0001-9042-9481
Zhaoqi LiuBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.
Siyao QinBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.
Jun HuBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.
Songmei YuanSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Zhong Lin WangBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0002-5530-0380
Xiangyu ChenBeijing Key Laboratory of Micro-Nano Energy and Sensor, Center for High-Entropy Energy and Systems, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0002-0711-0275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue imaging is usually captured by hospital-based nuclear magnetic resonance. Here, we present a wearable triboelectric impedance tomography (TIT) system for noninvasive imaging of various biological tissues. The imaging mechanism relies on the obtained impedance information from the different soft human tissues. A high-precision signal source is designed on the basis of a composite triboelectric nanogenerator, which exhibits a minimal total harmonic distortion of 0.03% and a peak output signal-to-noise ratio up to 120 decibels. The current density injected into human skin is around 79.58 milliamperes per square meter, far below the safety threshold for medical devices. The TIT system achieves time-resolved tomography of human limbs' soft tissues, and many appealing functions can be realized by using this wearable system, including the observation of muscle movement, the motion intention recognition, and the identification of pathological changes of soft tissue. Hence, this TIT system with excellent biocompatibility can be integrated with various devices, such as medical-assistive exoskeletons and smart protective suit.

Indexed as

Electric ImpedanceTomographyWearable Electronic DevicesEquipment DesignHumans

Identifiers

PMID39705345
PMCPMC11661438

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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.