Evidence map›Paper›PMID 40708077›Full record

ArticleACS sensors2025

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

Hongyu Zhang, Keer Wang, Jiao Suo, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Vellaisamy A L Roy, Cindy Lo Kuen Lam and 3 more

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  3. Sarcopenia and MASLD: novel insights and the future.Nature reviews. Endocrinology · 2026
    Review
  4. Review
  5. 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

13 authors.

Hongyu ZhangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Keer WangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Jiao SuoDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Clio Yuen Man ChengDepartment of Social Work and Social Administration; Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong 999077, China.
Meng ChenDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.
King Wai Chiu LaiDepartment of Biomedical Engineering, Centre for Robotics and Automation, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-5002-2273
Calvin Kalun OrDepartment of Industrial and Manufacturing System Engineering, The University of Hong Kong, Hong Kong 999077, China.
Yong HuDepartment of Orthpedics & Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
Vellaisamy A L RoyHong Kong Metropolitan University, Hong Kong 999077, China.ORCID 0000-0003-1432-9950
Cindy Lo Kuen LamDepartment of Family Medicine and Primary Care, Li Ka-Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
Ning XiDepartment of Industrial and Manufacturing System Engineering, The University of Hong Kong, Hong Kong 999077, China.
Vivian W Q LouDepartment of Social Work and Social Administration; Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong 999077, China.
Wen Jung LiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-9616-6213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle function and composition are important indicators of age-related health. However, current assessment methods are often complex and expensive, making the early detection of related problems difficult. Therefore, developing a cost-effective and easily accessible daily based detection method is an essential research focus. This study introduces a novel portable porous-structured (i.e., CNT/PDMS nanocomposite) and flexible piezoresistive sensor for evaluating muscle function and relative skeletal muscle mass index, offering advantages of cost-effectiveness, safety, and user-friendliness. The porous architecture significantly enhances sensitivity, while the flexible design ensures excellent conformability to the skin and adaptability to complex body movements. The prototype sensor demonstrates a linear detection range of 0-39 kPa with dual-stage sensitivities of 0.03398 kPa

Indexed as

Muscle, SkeletalWearable Electronic DevicesAdultAgedDimethylpolysiloxanesFemaleGaitHumansMaleMiddle AgedMonitoring, PhysiologicNanocompositesNanotubes, CarbonPorosityYoung AdultDimethylpolysiloxanesNanotubes, CarbonCNT/PDMS flexible muscle sensormachine learningmuscle functionmuscle massYOLO-V5m

Identifiers

PMID40708077
PMCPMC12379179

What OpenQuestion holds

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LicenceCC BY
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.