Evidence map›Paper›PMID 37208801›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Passive and Wireless All-Textile Wearable Sensor System.

Valeria Galli, Sunil Kumar Sailapu, Tyler J Cuthbert, Chakaveh Ahmadizadeh, Brett C Hannigan, Carlo Menon

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. 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. Article
  2. Article
  3. Article
  4. A wireless self-decoupling scheme for multimodal sensing.Microsystems & nanoengineering · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. A Fully Printable Strain Sensor Enabling Highly-Sensitive Wireless Near-Field Interrogation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Passive and Wireless All-Textile Wearable Sensor System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
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.

Valeria GalliBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0001-8522-3251
Sunil Kumar SailapuBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0002-0923-0879
Tyler J CuthbertBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0003-0313-3557
Chakaveh AhmadizadehBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0003-2160-6709
Brett C HanniganBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0001-5778-1686
Carlo MenonBiomedical and Mobile Health Technology (BMHT) Group, Department of Health Sciences and Technology, ETH Zürich, Lengghalde 5, Zürich, 8008, Switzerland.ORCID 0000-0002-2309-9977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health technology and activity tracking with wearable sensors enable continuous unobtrusive monitoring of movement and biophysical parameters. Advancements in clothing-based wearable devices have employed textiles as transmission lines, communication hubs, and various sensing modalities; this area of research is moving towards complete integration of circuitry into textile components. A current limitation for motion tracking is the need for communication protocols demanding physical connection of textile with rigid devices, or vector network analyzers (VNA) with limited portability and lower sampling rates. Inductor-capacitor (LC) circuits are ideal candidates as textile sensors can be easily implemented with textile components and allow wireless communication. In this paper, the authors report a smart garment that can sense movement and wirelessly transmit data in real time. The garment features a passive LC sensor circuit constructed of electrified textile elements that sense strain and communicate through inductive coupling. A portable, lightweight reader (fReader) is developed for achieving a faster sampling rate than a downsized VNA to track body movement, and for wirelessly reading sensor information suitable for deployment with a smartphone. The smart garment-fReader system monitors human movement in real-time and exemplifies the potential of textile-based electronics moving forward.

Indexed as

TextilesWearable Electronic DevicesHumansMotionMovementbattery-freedigital healthpassivesmart textilewireless sensors

Identifiers

PMID37208801
PMCPMC10401120

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.