Evidence map›Paper›PMID 40734720›Full record

ArticleWearable technologies2025

Frugally inventive carbon fabric-based wearable sensor for monitoring human body movements.

Ahmed Alqaderi, Syed Muhammad Hafiz Syed Mohd Jaafar, Shafarina Azlinda Ahmad Kamal, Lee Hing Wah, Wei Yin Lim, Narayanan Ramakrishan

Abstract read
In one paragraph

Article in Wearable technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ahmed AlqaderiMicro and Nano Devices Lab, Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.
Syed Muhammad Hafiz Syed Mohd JaafarSemiconductor R&D, MIMOS BERHAD, Kuala Lumpur, Malaysia.
Shafarina Azlinda Ahmad KamalSemiconductor R&D, MIMOS BERHAD, Kuala Lumpur, Malaysia.
Lee Hing WahSemiconductor and Venture Division, SIDEC SDN BHD, Shah Alam, Malaysia.
Wei Yin LimMicro and Nano Devices Lab, Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.
Narayanan RamakrishanMicro and Nano Devices Lab, Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-0152-1938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a flexible, multilayer fabric strain sensor composed of a carbon fabric layer sandwiched between elastic bands. The sensor achieved a gauge factor of 3.4 and maintained its durability up to 635% strain. Its uniform graphite layer enabled reliable fabrication and easy integration into wearable formats. Performing well on commercial gloves and bands, the sensor effectively captured strain variations during body movement and enabled wireless transmission for real-time monitoring. Distinct resistance patterns were recorded for various body motions such as walking, jogging, jumping, and knee bending with a clear separation between high- and low-intensity activities. The overall design supports scalable fabrication and practical integration into wearable systems.

Indexed as

body movement detectionrehabilitationstrainwearable sensors

Identifiers

PMID40734720
PMCPMC12304774

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.