Evidence map›Paper›PMID 29182185›Full record

ReviewLab on a chip2018

Wearable sensors: modalities, challenges, and prospects.

J Heikenfeld, A Jajack, J Rogers, P Gutruf, L Tian, T Pan, R Li, M Khine, J Kim, J Wang and 1 more

Abstract readReview
In one paragraph

Review in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 348 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
348citing papers in PubMed, 2 pooled it
–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

348 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Polymer-Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  16. Article
  17. Review
  18. A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  19. Review
  20. Review

288 more citing papers are in PubMed but not listed here.

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

11 authors.

J HeikenfeldDepartment of Electrical Engineering & Computer Science, Novel Devices Laboratory, University of Cincinnati, Cincinnati, OH 45221, USA.
A Jajack
J Rogers
P Gutruf
L Tian
T Pan
R Li
M Khine
J Kim
J Wang
J Kim

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
NIEHS NIH HHS P42 ES004699
6 · The paper itself

Abstract

Wearable sensors have recently seen a large increase in both research and commercialization. However, success in wearable sensors has been a mix of both progress and setbacks. Most of commercial progress has been in smart adaptation of existing mechanical, electrical and optical methods of measuring the body. This adaptation has involved innovations in how to miniaturize sensing technologies, how to make them conformal and flexible, and in the development of companion software that increases the value of the measured data. However, chemical sensing modalities have experienced greater challenges in commercial adoption, especially for non-invasive chemical sensors. There have also been significant challenges in making significant fundamental improvements to existing mechanical, electrical, and optical sensing modalities, especially in improving their specificity of detection. Many of these challenges can be understood by appreciating the body's surface (skin) as more of an information barrier than as an information source. With a deeper understanding of the fundamental challenges faced for wearable sensors and of the state-of-the-art for wearable sensor technology, the roadmap becomes clearer for creating the next generation of innovations and breakthroughs.

Indexed as

Lab-On-A-Chip DevicesWearable Electronic DevicesEquipment DesignHumansSkin Physiological PhenomenaWireless Technology

Identifiers

PMID29182185
PMCPMC5771841

What OpenQuestion holds

Textmetadata
LicenceTDM
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.