Evidence map›Paper›PMID 35401990›Full record

ArticleNational science review2022

Detecting subtle yet fast skeletal muscle contractions with ultrasoft and durable graphene-based cellular materials.

Zijun He, Zheng Qi, Huichao Liu, Kangyan Wang, Leslie Roberts, Jefferson Z Liu, Yilun Liu, Stephen J Wang, Mark J Cook, George P Simon and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. 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

12 authors at 5 institutions in 3 countries.

Zijun HeDepartment of Chemical Engineering, The University of Melbourne, Melbourne3010, Australia.ORCID https://orcid.org/0000-0001-7897-0013
Zheng QiDepartment of Chemical Engineering, Monash University, Melbourne3800, Australia.
Huichao LiuState Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Kangyan WangDepartment of Chemical Engineering, The University of Melbourne, Melbourne3010, Australia.
Leslie RobertsNeurophysiology Department, Department of Neurology and Neurological Research, St Vincent's Hospital, Melbourne3065, Australia.
Jefferson Z LiuDepartment of Mechanical Engineering, University of Melbourne, Melbourne3010, Australia.
Yilun LiuState Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Stephen J WangDepartment of Design, Monash University, Melbourne3145, Australia.
Mark J CookDepartment of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne3010, Australia.
George P SimonDepartment of Materials Science and Engineering, Monash University, Melbourne3800, Australia.
Ling QiuDepartment of Materials Science and Engineering, Monash University, Melbourne3800, Australia.
Dan LiDepartment of Chemical Engineering, The University of Melbourne, Melbourne3010, Australia.ORCID https://orcid.org/0000-0003-3461-5751
The University of Melbourne · AUMonash University · AUXi'an Jiaotong University · CNHong Kong Polytechnic University · HKTsinghua–Berkeley Shenzhen Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human bodily movements are primarily controlled by the contractions of skeletal muscles. Unlike joint or skeletal movements that are generally performed in the large displacement range, the contractions of the skeletal muscles that underpin these movements are subtle in intensity yet high in frequency. This subtlety of movement makes it a formidable challenge to develop wearable and durable soft materials to electrically monitor such motions with high fidelity for the purpose of, for example, muscle/neuromuscular disease diagnosis. Here we report that an intrinsically fragile ultralow-density graphene-based cellular monolith sandwiched between silicone rubbers can exhibit a highly effective stress and strain transfer mechanism at its interface with the rubber, with a remarkable improvement in stretchability (>100%). In particular, this hybrid also exhibits a highly sensitive, broadband-frequency electrical response (up to 180 Hz) for a wide range of strains. By correlating the mechanical signal of muscle movements obtained from this hybrid material with electromyography, we demonstrate that the strain sensor based on this hybrid material may provide a new, soft and wearable mechanomyography approach for real-time monitoring of complex neuromuscular-skeletal interactions in a broad range of healthcare and human-machine interface applications. This work also provides a new architecture-enabled functional soft material platform for wearable electronics.

Indexed as

cellular graphenehigh-frequency electromechanical propertyskeletal muscle activitystrain sensorssurface mechanomyography

Identifiers

PMID35401990
PMCPMC8986457
OpenAlexW3202012849

What OpenQuestion holds

Textmetadata
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.