Evidence map›Paper›PMID 35910814›Full record

ReviewNature reviews. Materials2022

End-to-end design of wearable sensors.

H Ceren Ates, Peter Q Nguyen, Laura Gonzalez-Macia, Eden Morales-Narváez, Firat Güder, James J Collins, Can Dincer

Abstract readReview
In one paragraph

Review in Nature reviews. Materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 325 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
325citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
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  5. Review
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  9. Review
  10. Geometric Feature Relationship-Based Knowledge Distillation for Ground Reaction Force Estimation.Measurement : journal of the International Measurement Confederation · 2026
    Article
  11. Review
  12. Review
  13. Design, Construction, and Application of Implantable Fiber Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  14. Review
  15. The Mind From Within: Visceral Roots of Human Cognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Review
  17. Article
  18. Review
  19. A Portable and Dual-Button Microneedle Device Enables Intelligent Multimodal Laser Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Review

265 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

7 authors.

H Ceren Ates *FIT Freiburg Center for Interactive Materials and Bioinspired Technology, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-7882-4745
Peter Q Nguyen *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA USA.ORCID 0000-0002-0935-6404
Laura Gonzalez-MaciaDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0000-0003-1372-7965
Eden Morales-NarváezBiophotonic Nanosensors Laboratory, Centro de Investigaciones en Óptica, León, Mexico.ORCID 0000-0002-1536-825X
Firat GüderDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0000-0001-5454-0609
James J CollinsWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA USA.
Can DincerFIT Freiburg Center for Interactive Materials and Bioinspired Technology, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-3301-1198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable devices provide an alternative pathway to clinical diagnostics by exploiting various physical, chemical and biological sensors to mine physiological (biophysical and/or biochemical) information in real time (preferably, continuously) and in a non-invasive or minimally invasive manner. These sensors can be worn in the form of glasses, jewellery, face masks, wristwatches, fitness bands, tattoo-like devices, bandages or other patches, and textiles. Wearables such as smartwatches have already proved their capability for the early detection and monitoring of the progression and treatment of various diseases, such as COVID-19 and Parkinson disease, through biophysical signals. Next-generation wearable sensors that enable the multimodal and/or multiplexed measurement of physical parameters and biochemical markers in real time and continuously could be a transformative technology for diagnostics, allowing for high-resolution and time-resolved historical recording of the health status of an individual. In this Review, we examine the building blocks of such wearable sensors, including the substrate materials, sensing mechanisms, power modules and decision-making units, by reflecting on the recent developments in the materials, engineering and data science of these components. Finally, we synthesize current trends in the field to provide predictions for the future trajectory of wearable sensors.

Indexed as

Bioinspired materialsBiosensorsDiagnostic devicesSensors and biosensorsSynthetic biology

Identifiers

PMID35910814
PMCPMC9306444

What OpenQuestion holds

Textmetadata
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.