A Step Forward for Smart Clothes: Printed Fabric-Based Hybrid Electronics for Wearable Health Monitoring.

Huating Tu, Zhenglin Li, Zihao Chen, Yang Gao, Fuzhen Xuan

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

5 authors.

Huating TuCollege of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.ORCID 0000-0001-8374-4053

Zhenglin LiSchool of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.

Zihao ChenCollege of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.

Yang GaoSchool of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.ORCID 0000-0002-1069-2157

Fuzhen XuanSchool of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.

Funding

Shanghai Sailing Program 23YF1418000State Key Laboratory of New Textile Materials and Advanced Processing Technologies FZ2022006University Research Fund of Shanghai University of Medicine & Health Sciences SSF-23-04-003

6 · The paper itself

Abstract

Smart clothes equipped with flexible sensing systems provide a comfortable means to track health status in real time. Although these sensors are flexible and small, the core signal-processing units still rely on a conventional printed circuit board (PCB), making current health-monitoring devices bulky and inconvenient to wear. In this study, a printed fabric-based hybrid circuit was designed and prepared-with a series of characteristics, such as surface/sectional morphology, electrical properties, and stability-to study its reliability. Furthermore, to verify the function of the fabric-based circuit, simulations and measurements of the circuit, as well as the collection and processing of a normal adult's electrophysiological signals, were conducted. Under 10,000 stretching and bending cycles with a certain elongation and bending angle, the resistance remained 0.27 Ω/cm and 0.64 Ω/cm, respectively, demonstrating excellent conductivity and reliability. Additionally, the results of the simulation and experiment showed that the circuit can successfully amplify weak electrocardiogram (ECG) signals with a magnification of 1600 times with environmental filtering and 50 Hz of industrial frequency interference. This technology can monitor human electrophysiological signals, such as ECGs, electromyograms (EMGs), and joint motion, providing valuable practical guidance for the unobtrusive monitoring of smart clothes.

Indexed as

TextilesWearable Electronic DevicesClothingElectrocardiographyElectromyographyElectronicsEquipment DesignHumansMonitoring, PhysiologicSignal Processing, Computer-AssistedECG amplification circuitsmicro-electronic printingsmart clothestextile electronics

Identifiers

PMID39517889

DOI10.3390/s24216991

PMCPMC11548308

What Socratic 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 Socratic graph.