Evidence map›Paper›PMID 41179208›Full record

ReviewACS omega2025

Progress and Strategies of Wearable Sensors in Human Health Monitoring Based on Physiological, Biochemical, and Environmental Signals.

Yang Liu, Sichen Liu, Dongyang Cui, Haofei Li

Abstract readReview
In one paragraph

Review in ACS omega, 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. Review
  2. Review
  3. Review
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

4 authors.

Yang LiuCollege of Engineering, Guangzhou College of Technology and Business, Guangzhou 510850, China.
Sichen LiuSchool of Materials Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China.
Dongyang CuiCollege of Engineering, Guangzhou College of Technology and Business, Guangzhou 510850, China.
Haofei LiDepartment of Physiology, College of Basic Medical Sciences, Naval Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible wearable sensors, emerging as pivotal tools for health diagnosis and treatment, have garnered significant attention in the present. They facilitate real-time monitoring of human physiological, biochemical, and environmental parameters, demonstrating considerable potential for personalized health monitoring. However, existing literature reviews on wearable sensors predominantly focus on single-signal monitoring. In this paper, the progress of flexible wearable sensors in health monitoring is systematically reviewed, encompassing physiological, biochemical, and environmental signals relevant to human health. Simultaneously, this review provides a comprehensive overview of the design and sensing principles of wearable sensors as well as the strategies for improving their performance. Finally, the development prospects are also discussed, aiming to offer references for the advancement of wearable sensors in health monitoring.

Identifiers

PMID41179208
PMCPMC12573173

What OpenQuestion holds

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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.