Evidence map›Paper›PMID 41776333›Full record

ReviewNPJ cardiovascular health2025

State-of-the-art wearable sensors for cardiovascular health: a review.

Hongwei Xie, Longpeng Yang, Binbin Jiang, Zhenlong Huang, Yuan Lin

Abstract readReview
In one paragraph

Review in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Review
  3. Review
  4. Review
  5. Review
  6. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  7. Article
  8. Review
  9. Vascular waveform analysis using Bayesian pulse deconvolution.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. 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

5 authors.

Hongwei Xie *School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China.
Longpeng Yang *School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China.
Binbin JiangSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China.
Zhenlong HuangSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China. zhenlong@uestc.edu.cn.
Yuan LinSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, China. linyuan@uestc.edu.cn.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515010975Natural Science Foundation of China 62201119Shenzhen Science and Technology Program JCYJ20230807120009019
6 · The paper itself

Abstract

Wearable cardiovascular monitoring systems integrate advanced sensing technologies to provide real-time, personalized, and noninvasive healthcare through continuous monitoring and early warning capabilities, representing significant progress in accuracy, personalization, and connectivity. This review summarizes recent advances in wearable physical sensors, imaging technologies, and biochemical devices tailored for cardiovascular health monitoring, explores developments in early warning and closed-loop systems, and discusses future research directions and associated challenges.

Identifiers

PMID41776333
PMCPMC12912340

What Socratic 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 Socratic graph.