Evidence map›Paper›PMID 35023321›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review.

Daniel Sim, Michael C Brothers, Joseph M Slocik, Ahmad E Islam, Benji Maruyama, Claude C Grigsby, Rajesh R Naik, Steve S Kim

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025
    Article
  12. Review
  13. Review
  14. Article
  15. The Role of Long Non-Coding RNA in Anxiety Disorders: A Literature Review.International journal of molecular sciences · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

8 authors.

Daniel SimAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0002-3702-7245
Michael C BrothersAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0002-8239-2399
Joseph M SlocikAir Force Research Laboratory, Materials and Manufacturing Directorate, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0001-5824-7709
Ahmad E IslamAir Force Research Laboratory, Sensors Directorate, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0002-4233-1233
Benji MaruyamaAir Force Research Laboratory, Materials and Manufacturing Directorate, Wright-Patterson Air Force Base, OH 45433, USA.
Claude C GrigsbyAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, OH 45433, USA.
Rajesh R NaikAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0002-7677-928X
Steve S KimAir Force Research Laboratory, 711th Human Performance Wing, Wright-Patterson Air Force Base, OH 45433, USA.ORCID 0000-0002-9519-077X

Funding

Air Force Research LaboratoryNational Academies of Sciences, Engineering, and Medicine
6 · The paper itself

Abstract

Human health and performance monitoring (HHPM) is imperative to provide information necessary for protecting, sustaining, evaluating, and improving personnel in various occupational sectors, such as industry, academy, sports, recreation, and military. While various commercially wearable sensors are on the market with their capability of "quantitative assessments" on human health, physical, and psychological states, their sensing is mostly based on physical traits, and thus lacks precision in HHPM. Minimally or noninvasive biomarkers detectable from the human body, such as body fluid (e.g., sweat, tear, urine, and interstitial fluid), exhaled breath, and skin surface, can provide abundant additional information to the HHPM. Detecting these biomarkers with novel or existing sensor technologies is emerging as critical human monitoring research. This review provides a broad perspective on the state of the art biosensor technologies for HHPM, including the list of biomarkers and their physiochemical/physical characteristics, fundamental sensing principles, and high-performance sensing transducers. Further, this paper expands to the additional scope on the key technical challenges in applying the current HHPM system to the real field.

Indexed as

Biosensing TechniquesWearable Electronic DevicesBiomarkersHumansMonitoring, PhysiologicSweatBiomarkersbiosensor technologieshuman health and performance biomarkershuman health and performance monitoring

Identifiers

PMID35023321
PMCPMC8895156

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.