Evidence map›Paper›PMID 40465310›Full record

ArticleAdvanced healthcare materials2025

Tattoo Assisted Optical Sensor System for Multimodal Discrete Physiological Sensing.

Zihuan Wu, Ahmad El-Barbary, David Lafleur, Shuyun Zhuo, Chris Williams, Shideh Kabiri Ameri

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Zihuan WuDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.
Ahmad El-BarbaryDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.
David LafleurDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.
Shuyun ZhuoDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.
Chris WilliamsDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.
Shideh Kabiri AmeriDepartment of Electrical and Computer Engineering, Queen's University, 19 Union St, Kingston, ON, K7L 3N9, Canada.ORCID 0000-0001-6931-3011

Funding

Canada Foundation for Innovation 40336Natural Sciences and Engineering Research Council of Canada ALLRP570743-2021
6 · The paper itself

Abstract

This work introduces a novel method for recording electrophysiological signals and sensing physiological events using an optical tattoo sensor (OTS), eliminating the need for integrating electronics on the skin. Traditional sensors face challenges due to the mechanical mismatch between rigid silicon-based circuits and soft, stretchable sensors, leading to poor performance and interface failures. The OTS, which can be applied as a conventional temporary tattoo, eliminates scattered light from beneath the skin. When used with a handheld speckle sensing device, it improves signal-to-noise ratio and stability in capturing physiological activities beneath the skin. Using the tattoo assisted portable optical sensing system, different types of electrophysiological signal recording and physiological events sensing, including electrocardiography (ECG), electromyography (EMG), seismocardiography (SCG), respiration rate, and pulses, are performed. A shallow neural network is developed to convert the detected skin motions into electrophysiological signals such as ECG. The electrophysiological recording using OTS shows consistency with electrically measured signals.

Indexed as

TattooingElectrocardiographyElectromyographyHumansSignal-To-Noise RatioSkinECGEMGSCGspeckle imagingtemporary tattoo

Identifiers

PMID40465310
PMCPMC12264846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.